Subjects -> COMPUTER SCIENCE (Total: 2313 journals)
    - ANIMATION AND SIMULATION (33 journals)
    - ARTIFICIAL INTELLIGENCE (133 journals)
    - AUTOMATION AND ROBOTICS (116 journals)
    - COMPUTER ARCHITECTURE (11 journals)
    - COMPUTER ENGINEERING (12 journals)
    - COMPUTER GAMES (23 journals)
    - COMPUTER PROGRAMMING (25 journals)
    - COMPUTER SCIENCE (1305 journals)
    - COMPUTER SECURITY (59 journals)
    - DATA BASE MANAGEMENT (21 journals)
    - DATA MINING (50 journals)
    - E-BUSINESS (21 journals)
    - E-LEARNING (30 journals)
    - IMAGE AND VIDEO PROCESSING (42 journals)
    - INFORMATION SYSTEMS (109 journals)
    - INTERNET (111 journals)
    - SOCIAL WEB (61 journals)
    - SOFTWARE (43 journals)
    - THEORY OF COMPUTING (10 journals)

COMPUTER SCIENCE (1305 journals)                  1 2 3 4 5 6 7 | Last

Showing 1 - 200 of 872 Journals sorted alphabetically
3D Printing and Additive Manufacturing     Full-text available via subscription   (Followers: 27)
Abakós     Open Access   (Followers: 3)
ACM Computing Surveys     Hybrid Journal   (Followers: 29)
ACM Inroads     Full-text available via subscription   (Followers: 1)
ACM Journal of Computer Documentation     Free   (Followers: 4)
ACM Journal on Computing and Cultural Heritage     Hybrid Journal   (Followers: 5)
ACM Journal on Emerging Technologies in Computing Systems     Hybrid Journal   (Followers: 12)
ACM SIGACCESS Accessibility and Computing     Free   (Followers: 2)
ACM SIGAPP Applied Computing Review     Full-text available via subscription  
ACM SIGBioinformatics Record     Full-text available via subscription  
ACM SIGEVOlution     Full-text available via subscription  
ACM SIGHIT Record     Full-text available via subscription  
ACM SIGHPC Connect     Full-text available via subscription  
ACM SIGITE Newsletter     Open Access   (Followers: 1)
ACM SIGMIS Database: the DATABASE for Advances in Information Systems     Hybrid Journal  
ACM SIGUCCS plugged in     Full-text available via subscription  
ACM SIGWEB Newsletter     Full-text available via subscription   (Followers: 3)
ACM Transactions on Accessible Computing (TACCESS)     Hybrid Journal   (Followers: 3)
ACM Transactions on Algorithms (TALG)     Hybrid Journal   (Followers: 13)
ACM Transactions on Applied Perception (TAP)     Hybrid Journal   (Followers: 3)
ACM Transactions on Architecture and Code Optimization (TACO)     Hybrid Journal   (Followers: 9)
ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP)     Hybrid Journal  
ACM Transactions on Autonomous and Adaptive Systems (TAAS)     Hybrid Journal   (Followers: 10)
ACM Transactions on Computation Theory (TOCT)     Hybrid Journal   (Followers: 11)
ACM Transactions on Computational Logic (TOCL)     Hybrid Journal   (Followers: 5)
ACM Transactions on Computer Systems (TOCS)     Hybrid Journal   (Followers: 19)
ACM Transactions on Computer-Human Interaction     Hybrid Journal   (Followers: 15)
ACM Transactions on Computing Education (TOCE)     Hybrid Journal   (Followers: 9)
ACM Transactions on Computing for Healthcare     Hybrid Journal  
ACM Transactions on Cyber-Physical Systems (TCPS)     Hybrid Journal   (Followers: 1)
ACM Transactions on Design Automation of Electronic Systems (TODAES)     Hybrid Journal   (Followers: 5)
ACM Transactions on Economics and Computation     Hybrid Journal  
ACM Transactions on Embedded Computing Systems (TECS)     Hybrid Journal   (Followers: 4)
ACM Transactions on Information Systems (TOIS)     Hybrid Journal   (Followers: 18)
ACM Transactions on Intelligent Systems and Technology (TIST)     Hybrid Journal   (Followers: 11)
ACM Transactions on Interactive Intelligent Systems (TiiS)     Hybrid Journal   (Followers: 6)
ACM Transactions on Internet of Things     Hybrid Journal   (Followers: 2)
ACM Transactions on Modeling and Performance Evaluation of Computing Systems (ToMPECS)     Hybrid Journal  
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)     Hybrid Journal   (Followers: 10)
ACM Transactions on Parallel Computing     Full-text available via subscription  
ACM Transactions on Reconfigurable Technology and Systems (TRETS)     Hybrid Journal   (Followers: 6)
ACM Transactions on Sensor Networks (TOSN)     Hybrid Journal   (Followers: 9)
ACM Transactions on Social Computing     Hybrid Journal  
ACM Transactions on Spatial Algorithms and Systems (TSAS)     Hybrid Journal   (Followers: 1)
ACM Transactions on Speech and Language Processing (TSLP)     Hybrid Journal   (Followers: 11)
ACM Transactions on Storage     Hybrid Journal  
ACS Applied Materials & Interfaces     Hybrid Journal   (Followers: 41)
Acta Informatica Malaysia     Open Access  
Acta Universitatis Cibiniensis. Technical Series     Open Access   (Followers: 1)
Ad Hoc Networks     Hybrid Journal   (Followers: 12)
Adaptive Behavior     Hybrid Journal   (Followers: 8)
Additive Manufacturing Letters     Open Access   (Followers: 3)
Advanced Engineering Materials     Hybrid Journal   (Followers: 32)
Advanced Science Letters     Full-text available via subscription   (Followers: 9)
Advances in Adaptive Data Analysis     Hybrid Journal   (Followers: 9)
Advances in Artificial Intelligence     Open Access   (Followers: 33)
Advances in Catalysis     Full-text available via subscription   (Followers: 7)
Advances in Computational Mathematics     Hybrid Journal   (Followers: 20)
Advances in Computer Engineering     Open Access   (Followers: 13)
Advances in Computer Science : an International Journal     Open Access   (Followers: 19)
Advances in Computing     Open Access   (Followers: 3)
Advances in Data Analysis and Classification     Hybrid Journal   (Followers: 52)
Advances in Engineering Software     Hybrid Journal   (Followers: 27)
Advances in Geosciences (ADGEO)     Open Access   (Followers: 19)
Advances in Human-Computer Interaction     Open Access   (Followers: 19)
Advances in Image and Video Processing     Open Access   (Followers: 20)
Advances in Materials Science     Open Access   (Followers: 20)
Advances in Multimedia     Open Access   (Followers: 1)
Advances in Operations Research     Open Access   (Followers: 13)
Advances in Remote Sensing     Open Access   (Followers: 59)
Advances in Science and Research (ASR)     Open Access   (Followers: 8)
Advances in Technology Innovation     Open Access   (Followers: 5)
AEU - International Journal of Electronics and Communications     Hybrid Journal   (Followers: 8)
African Journal of Information and Communication     Open Access   (Followers: 6)
African Journal of Mathematics and Computer Science Research     Open Access   (Followers: 5)
AI EDAM     Hybrid Journal   (Followers: 2)
Air, Soil & Water Research     Open Access   (Followers: 6)
AIS Transactions on Human-Computer Interaction     Open Access   (Followers: 5)
Al-Qadisiyah Journal for Computer Science and Mathematics     Open Access   (Followers: 2)
AL-Rafidain Journal of Computer Sciences and Mathematics     Open Access   (Followers: 3)
Algebras and Representation Theory     Hybrid Journal  
Algorithms     Open Access   (Followers: 13)
American Journal of Computational and Applied Mathematics     Open Access   (Followers: 8)
American Journal of Computational Mathematics     Open Access   (Followers: 6)
American Journal of Information Systems     Open Access   (Followers: 4)
American Journal of Sensor Technology     Open Access   (Followers: 2)
Analog Integrated Circuits and Signal Processing     Hybrid Journal   (Followers: 15)
Animation Practice, Process & Production     Hybrid Journal   (Followers: 4)
Annals of Combinatorics     Hybrid Journal   (Followers: 3)
Annals of Data Science     Hybrid Journal   (Followers: 14)
Annals of Mathematics and Artificial Intelligence     Hybrid Journal   (Followers: 16)
Annals of Pure and Applied Logic     Open Access   (Followers: 4)
Annals of Software Engineering     Hybrid Journal   (Followers: 12)
Annual Reviews in Control     Hybrid Journal   (Followers: 7)
Anuario Americanista Europeo     Open Access  
Applicable Algebra in Engineering, Communication and Computing     Hybrid Journal   (Followers: 3)
Applied and Computational Harmonic Analysis     Full-text available via subscription  
Applied Artificial Intelligence: An International Journal     Hybrid Journal   (Followers: 17)
Applied Categorical Structures     Hybrid Journal   (Followers: 4)
Applied Clinical Informatics     Hybrid Journal   (Followers: 4)
Applied Computational Intelligence and Soft Computing     Open Access   (Followers: 16)
Applied Computer Systems     Open Access   (Followers: 6)
Applied Computing and Geosciences     Open Access   (Followers: 3)
Applied Mathematics and Computation     Hybrid Journal   (Followers: 31)
Applied Medical Informatics     Open Access   (Followers: 11)
Applied Numerical Mathematics     Hybrid Journal   (Followers: 4)
Applied Soft Computing     Hybrid Journal   (Followers: 13)
Applied Spatial Analysis and Policy     Hybrid Journal   (Followers: 5)
Applied System Innovation     Open Access   (Followers: 1)
Archive of Applied Mechanics     Hybrid Journal   (Followers: 4)
Archive of Numerical Software     Open Access  
Archives and Museum Informatics     Hybrid Journal   (Followers: 97)
Archives of Computational Methods in Engineering     Hybrid Journal   (Followers: 5)
arq: Architectural Research Quarterly     Hybrid Journal   (Followers: 7)
Array     Open Access   (Followers: 1)
Artifact : Journal of Design Practice     Open Access   (Followers: 8)
Artificial Life     Hybrid Journal   (Followers: 7)
Asian Journal of Computer Science and Information Technology     Open Access   (Followers: 3)
Asian Journal of Control     Hybrid Journal  
Asian Journal of Research in Computer Science     Open Access   (Followers: 4)
Assembly Automation     Hybrid Journal   (Followers: 2)
Automatic Control and Computer Sciences     Hybrid Journal   (Followers: 6)
Automatic Documentation and Mathematical Linguistics     Hybrid Journal   (Followers: 5)
Automatica     Hybrid Journal   (Followers: 13)
Automatika : Journal for Control, Measurement, Electronics, Computing and Communications     Open Access  
Automation in Construction     Hybrid Journal   (Followers: 8)
Balkan Journal of Electrical and Computer Engineering     Open Access  
Basin Research     Hybrid Journal   (Followers: 7)
Behaviour & Information Technology     Hybrid Journal   (Followers: 32)
BenchCouncil Transactions on Benchmarks, Standards, and Evaluations     Open Access   (Followers: 7)
Big Data and Cognitive Computing     Open Access   (Followers: 5)
Big Data Mining and Analytics     Open Access   (Followers: 10)
Biodiversity Information Science and Standards     Open Access   (Followers: 2)
Bioinformatics     Hybrid Journal   (Followers: 226)
Bioinformatics Advances : Journal of the International Society for Computational Biology     Open Access   (Followers: 1)
Biomedical Engineering     Hybrid Journal   (Followers: 11)
Biomedical Engineering and Computational Biology     Open Access   (Followers: 11)
Briefings in Bioinformatics     Hybrid Journal   (Followers: 43)
British Journal of Educational Technology     Hybrid Journal   (Followers: 96)
Bulletin of Taras Shevchenko National University of Kyiv. Series: Physics and Mathematics     Open Access  
c't Magazin fuer Computertechnik     Full-text available via subscription   (Followers: 1)
Cadernos do IME : Série Informática     Open Access  
CALCOLO     Hybrid Journal  
CALICO Journal     Full-text available via subscription   (Followers: 3)
Calphad     Hybrid Journal  
Canadian Journal of Electrical and Computer Engineering     Full-text available via subscription   (Followers: 14)
Catalysis in Industry     Hybrid Journal  
CCF Transactions on High Performance Computing     Hybrid Journal  
CCF Transactions on Pervasive Computing and Interaction     Hybrid Journal  
CEAS Space Journal     Hybrid Journal   (Followers: 6)
Cell Communication and Signaling     Open Access   (Followers: 3)
Central European Journal of Computer Science     Hybrid Journal   (Followers: 5)
CERN IdeaSquare Journal of Experimental Innovation     Open Access  
Chaos, Solitons & Fractals     Hybrid Journal   (Followers: 1)
Chaos, Solitons & Fractals : X     Open Access   (Followers: 1)
Chemometrics and Intelligent Laboratory Systems     Hybrid Journal   (Followers: 13)
ChemSusChem     Hybrid Journal   (Followers: 7)
China Communications     Full-text available via subscription   (Followers: 8)
Chinese Journal of Catalysis     Full-text available via subscription   (Followers: 2)
Chip     Full-text available via subscription   (Followers: 5)
Ciencia     Open Access  
CIN : Computers Informatics Nursing     Hybrid Journal   (Followers: 11)
Circuits and Systems     Open Access   (Followers: 16)
CLEI Electronic Journal     Open Access  
Clin-Alert     Hybrid Journal   (Followers: 1)
Clinical eHealth     Open Access  
Cluster Computing     Hybrid Journal   (Followers: 1)
Cognitive Computation     Hybrid Journal   (Followers: 2)
Cognitive Computation and Systems     Open Access  
COMBINATORICA     Hybrid Journal  
Combinatorics, Probability and Computing     Hybrid Journal   (Followers: 4)
Combustion Theory and Modelling     Hybrid Journal   (Followers: 18)
Communication Methods and Measures     Hybrid Journal   (Followers: 12)
Communication Theory     Hybrid Journal   (Followers: 29)
Communications in Algebra     Hybrid Journal   (Followers: 1)
Communications in Partial Differential Equations     Hybrid Journal   (Followers: 2)
Communications of the ACM     Full-text available via subscription   (Followers: 59)
Communications of the Association for Information Systems     Open Access   (Followers: 15)
Communications on Applied Mathematics and Computation     Hybrid Journal   (Followers: 1)
COMPEL: The International Journal for Computation and Mathematics in Electrical and Electronic Engineering     Hybrid Journal   (Followers: 4)
Complex & Intelligent Systems     Open Access   (Followers: 1)
Complex Adaptive Systems Modeling     Open Access  
Complex Analysis and Operator Theory     Hybrid Journal   (Followers: 2)
Complexity     Hybrid Journal   (Followers: 8)
Computación y Sistemas     Open Access  
Computation     Open Access   (Followers: 1)
Computational and Applied Mathematics     Hybrid Journal   (Followers: 3)
Computational and Mathematical Methods     Hybrid Journal  
Computational and Mathematical Methods in Medicine     Open Access   (Followers: 2)
Computational and Mathematical Organization Theory     Hybrid Journal   (Followers: 1)
Computational and Structural Biotechnology Journal     Open Access   (Followers: 1)
Computational and Theoretical Chemistry     Hybrid Journal   (Followers: 11)
Computational Astrophysics and Cosmology     Open Access   (Followers: 7)
Computational Biology and Chemistry     Hybrid Journal   (Followers: 13)
Computational Biology Journal     Open Access   (Followers: 6)
Computational Brain & Behavior     Hybrid Journal   (Followers: 1)
Computational Chemistry     Open Access   (Followers: 3)
Computational Communication Research     Open Access   (Followers: 1)
Computational Complexity     Hybrid Journal   (Followers: 5)
Computational Condensed Matter     Open Access   (Followers: 1)

        1 2 3 4 5 6 7 | Last

Similar Journals
Journal Cover
Air, Soil & Water Research
Journal Prestige (SJR): 0.214
Citation Impact (citeScore): 1
Number of Followers: 6  

  This is an Open Access Journal Open Access journal
ISSN (Print) 1178-6221
Published by Sage Publications Homepage  [1174 journals]
  • Evaluating the Performance of AquaCrop Model for Potato Production Under
           Deficit Irrigation

    • Authors: Aemro Wale, Mekete Dessie, Hailu Kendie
      Abstract: Air, Soil and Water Research, Volume 15, Issue , January-December 2022.
      Crop modeling is a powerful tool for estimating yield and water use efficiency, and it plays an important role in determining water management strategies. Under the condition of scarce water supply and drought, deficit irrigation can lead to greater economic gains by maximizing yield per unit of water. Studies have shown that deficit irrigation significantly increased yield, crop evapotranspiration, and water use efficiency as compared to full irrigation requirement. However, this approach requires precise knowledge of crop response to water as drought tolerance varies considerably by growth stage, species and cultivars. This study was conducted in Lasta district, for two successive years to evaluate the effects of water shortage on potato production and water use efficiency, as well as to test the AquaCrop model for potato-producing areas. The irrigation water levels for potatoes were 100%, 75%, and 50% of crop evapotranspiration (ETc). Six treatments were arranged using a randomized complete block design. Climate, soil, and crop data were calibrated using observed weather parameters, and measured crop parameters conducted in the 2018/19 growing season. The model was validated using the observed data conducted in the 2019/20 growing season. The calibration of the model revealed a good fit for canopy cover (CC) with a coefficient of determination (R2) = .98, Root mean square error (RMSE) = 9.6%, Nash-Sutcliffe efficiency (E) = 0.92, index of agreement (d) = 0.98, and coefficient of residual moss (CRM) = −0.07, and good prediction for biomass (R2 = .98, RMSE = 1.8 t ha−1, E = 0.96, d = 0.99, CRM = −0.13). Similarly, the validation result showed good fit for CC by 100% water application at development and mid growth season and a 75% water applied at the other stages (R2 = .98, RMSE = 9.4%, E = 0.94, d = 0.98, CRM = −0.12). The AquaCrop model is simple to use, requires fewer input data, and has a high level of simulation precision, making it a useful tool for forecasting crop yield under deficit irrigation and water management to increase agricultural water efficiency in data-scarce areas.
      Citation: Air, Soil and Water Research
      PubDate: 2022-06-24T08:54:41Z
      DOI: 10.1177/11786221221108216
      Issue No: Vol. 15 (2022)
  • Statistical Tool to Address the Influence of Urbanization in Groundwater
           Quality in Colombo District, Sri Lanka

    • Authors: Babu Antalyn, V.P.A Weerasinghe
      Abstract: Air, Soil and Water Research, Volume 15, Issue , January-December 2022.
      Management of groundwater quality is becoming a key feature of a sustainable future while implementing sustainable development goals which are given by United Nations. During past decades, rapid land-use changes, urbanization, and population expansion are highly influenced the groundwater quality. To provide policymakers and water managers with reliable information on groundwater quality is a challenge to achieving sustainable development goals in developing countries. Therefore, this study intended to assess the spatial variability of groundwater quality using selected physicochemical parameters at the 39 available groundwater wells during the southwest monsoon period. Spatial variability is explained in 13 Divisional Secretariat Division (DSD) levels in Colombo district due to easier interpretation and management purposes. Afterward, groundwater quality was related to urbanization using population density and built-up density in 13 DSD levels in Colombo district, Sri Lanka. PCA (Principal Component Analysis) shows that 08 DSD levels are urban and 05 DSD levels are rural. pH (3.22–6.73), COD (8.91–52.9 mg/L), BOD5 (1.2–9.9 mg/L), and DO (2.17–5.05 mg/L) showed deviations from the given standards by local authorities in Sri Lanka. A significant relationship (p 
      Citation: Air, Soil and Water Research
      PubDate: 2022-06-21T10:24:23Z
      DOI: 10.1177/11786221221106761
      Issue No: Vol. 15 (2022)
  • Extracting the Critical Points of Formaldehyde (HCHO) Emission Model in
           Hot Desert Climate

    • Authors: Chuloh Jung, Naglaa Sami Abdelaziz Mahmoud
      Abstract: Air, Soil and Water Research, Volume 15, Issue , January-December 2022.
      Indoor air pollutants have various emission patterns and are influenced by indoor microclimate, the physical properties of building materials, and types of chemical substances. The difference in these emission patterns affects the prediction via simulation. This paper aims to extract factors that have an important influence on selecting empirical models by examining the emission pattern of formaldehyde (HCHO) from building materials. As a methodology, Small Chamber Pollutant Emission Test was used for six different flooring and wallpaper specimens, and HCHO was sampled and analyzed using HPLC (High-Performance Liquid Chromatography). The result showed that the higher the linear relationship between emission intensity and time, the more appropriate the first-order reduction model, such as flooring-A (R2 = .99), flooring-B (R2 = .94), wallpaper-A (R2 = .99), and wallpaper-C (R2 = .98). The emission pattern of HCHO in building materials is classified into three types: In type I (R2 = .00–.11), the emission of chemical substances reaches the maximum after the start of the experiment and decreases relatively rapidly. Type II (R2 =.00–.41), the emission pattern having the shape of a vertex with a refined concentration ascending and a gentle descending and is a type in which the suitability is significantly high in the concentration descending section, and Type III (R2 = .33–.60), which shows a mild linear increase and decreases trend in the ascending and concentration dropping sections. It is a type that indicates the suitability with the predicted value in a meaningful way in the entire area. Even though many previous studies focused on the concentration descending section in different materials (R2 = .51–.95), it was confirmed that the emission characteristics in the initial concentration ascending section are also critical points for simulation model selection since R2 of ascending section of Type II (.67–.70) and Type III (.77–.93) turned out statistically meaningful except Type I (.02–.25).
      Citation: Air, Soil and Water Research
      PubDate: 2022-06-17T06:05:09Z
      DOI: 10.1177/11786221221105082
      Issue No: Vol. 15 (2022)
  • Monitoring of Amoxicillin and Cephalexin Antibiotics in Municipal WWTPs
           During Covid-19 Outbreak: A Case Study in Isfahan, Iran

    • Authors: Mehri Samandari, Hossein Movahedian Attar, Karim Ebrahimpour, Farzaneh Mohammadi
      Abstract: Air, Soil and Water Research, Volume 15, Issue , January-December 2022.
      Antibiotics are non-biodegradable drugs that inhibit the expansion and growth of microorganisms. Especially with the prevalence of Covid-19, the consumption of antibiotics has increased. Therefore, the presence of most prescribed antibiotics from ß-lactams including amoxicillin and cephalexin were studied at two municipal WWTPs in Isfahan. The analytical method was to extract antibiotics from the aqueous phase and then detected them via HPLC/UV. Samples were collected from 2 WWTPs for 13 sampling periods over 2 months between February and March 2020 during the outbreak of Covid-19. In WWTP A, the average concentration of amoxicillin in influent, effluent, and its removal efficiency was 509.64 ± 161.97 µg/L, 352.96 ± 203.88 µg/L, 34.35 ± 31.38%, and the average concentration of cephalexin in influent, effluent, and its removal efficiency was 189.42 ± 176.06 µg/L, 32.6 ± 49.59µg/L, 78.75 ± 23.81%, respectively. In WWTP B, the average concentration of amoxicillin in influent, effluent, and its removal efficiency was 2134.82 ± 3031.53µg/L, 401.09 ± 205.86µg/L, and 54.82 ± 33.29%, respectively. Also, the average concentration of cephalexin in influent, effluent, and its removal efficiency was 183.69 ± 123.48 µg/L, 23.01 ± 40.71 µg/L, and 87.65 ± 21.76%, respectively. According to Mann–Whitney test results, the concentration of antibiotics in both WWTPs had significant differences (p-value 
      Citation: Air, Soil and Water Research
      PubDate: 2022-06-07T07:31:39Z
      DOI: 10.1177/11786221221103879
      Issue No: Vol. 15 (2022)
  • Impacts on Global Temperature During the First Part of 2020 Due to the
           Reduction in Human Activities by COVID-19

    • Authors: Saeed Shojaei, Pedram Ashofteh, Ngakan Ketut Acwin Dwijendra, Assefa M. Melesse, Ali Reza Shahvaran, Siroos Shojaei, Iman Homayoonnezhad
      Abstract: Air, Soil and Water Research, Volume 15, Issue , January-December 2022.
      One of the major events transpiring in the 21st century is the unforeseen outbreak due to COVID-19. This pandemic directly altered human activities due to the forced confinement of millions of inhabitants over the world. It is well known that one of the main factors that affect global warming is human activities; however, during the first part of 2020, they were severely reduced by the spread of the coronavirus. This study strives to investigate the possible impact of quarantine initiation worldwide and the linked outcomes on a global scale related to the temperatures since the worthwhile. To achieve this goal, the evaluation of the short-term temperature status at the continental scale was conducted in two particular forms: (i) concerning the short-term comparing the data from 2016, 2017, 2018, and 2019; and, assessing the long-term differences comprising 30 years of data (1981–2010). The data employed in this study were obtained from the respective NASA and Copernicus databases. The temperature maps and temperature differences of different years before the pandemic was compared to the Coronavirus onset (winter and spring) data with the aid of Python programing language. Continental temperature mapping results showed that the temperature difference of the American continent had attained its maximum value in January 2016, and yet, the temperature is observed to be warmer than in 2016. The largest difference in the short-term temperature in terms of comparison to 2020 referred to the months when the maximum quarantine began, that is, February and March, and the temperature was cooler in comparison to the prior years. The long-term mean study denoted that the temperatures throughout the South American continent remained consistent during the first part of 2020 in comparison to the 30-year average data, but temperatures in North America declined from February to April. Similarly, the temperatures in Eurasia in April is observed to be lower compared to the 30 years average in February and March. Accordingly, the average temperature of the Earth has dropped about 0.3°C compared to 2019. We concluded that temperature could show some specific changes and hypothesize that under the COVID-19 pandemic, it could manifest different trends. The next step would be to conduct further analysis to observe at the regional scale if under unforeseen phenomena are or not affecting global warning during the coming years.
      Citation: Air, Soil and Water Research
      PubDate: 2022-06-03T11:16:04Z
      DOI: 10.1177/11786221221101901
      Issue No: Vol. 15 (2022)
  • Current and Future Irrigation Water Requirement and Potential in the Abbay
           River Basin, Ethiopia

    • Authors: Abay Yimere, Engdawork Assefa
      Abstract: Air, Soil and Water Research, Volume 15, Issue , January-December 2022.
      In this study, we evaluated the present and future irrigation potential and irrigation water requirement (IWR) in Ethiopia’s Abbay River Basin using the MIKE HYDRO River modeling software. Relative changes in IWR were determined and analyzed at six irrigation nodes for 19 crops and 23 traits. Four irrigation scenarios were compared: low, medium, full (FULL), and high growth (HIGH). Significant IWR changes were observed in FULL and HIGH irrigation scenarios, with highly intensive irrigation conditions resulting in high IWR. The MIKE HYDRO model was used to simulate the IWR historically for two scenarios: (1) scenario representing the current total irrigable cropland (79,800 ha) and (2) scenario projecting the basin’s potential cropland (658,384 ha). As a result, the area under IWR analysis was 738,184 ha. The annual IWR was 9 billion cubic meters (BCM) and 18 BCM in FULL and HIGH irrigation scenarios, respectively. We found that uncertainties in crop migration, cropping patterns, and adaptation rates to climate change significantly affected irrigation and crop production. It is necessary to investigate the effects of HIGH irrigation on yield and economic benefits of FULL irrigation before adopting different irrigation development methods. Further research is required to adapt to changing climate for development of targeted IWR strategies.
      Citation: Air, Soil and Water Research
      PubDate: 2022-05-14T06:10:21Z
      DOI: 10.1177/11786221221097929
      Issue No: Vol. 15 (2022)
  • Land Use/Cover Changes and Surface Temperature Dynamics Over Abaminus
           Watershed, Northwest Ethiopia

    • Authors: Ermias Debie, Mesfin Anteneh, Tadele Asmare
      Abstract: Air, Soil and Water Research, Volume 15, Issue , January-December 2022.
      The study investigates the impact of land use/cover changes on the dynamics of surface temperature in the Abaminus watershed, Northwest Ethiopia. Landsat-5 images of 1987, 1999, and 2010, and the Landsat-8 image of 2018 were used as the sources of data. The land use/cover changes were calculated using a land-use transition matrix. Data generated from household surveys were presented using percentage values to identify the driving forces of land use/cover changes. The land surface temperature (LST) result was quantified using the respective index equation. Results indicated that wetland, forest, shrublands, and grasslands declined by 96.6%, 72%, 77.7%, and 89.4% respectively over the analysis period. The encroachment of cultivation and overgrazing to marginal lands, weak institutional arrangement, sedimentation, high drainage of wetlands for crop production, and recurrent drought were the major driving forces behind the land use/cover change. Within this effect, the average land surface temperature was increased by 11.5°C, 3.22°C, and 2.02°C due to wetland loss, clearing of the forest, and decline of shrublands respectively for the last 31 years. LSTs had correspondingly decreased by 5.42°C and 3.77°C on the afforested barren surfaces and planted shrublands. Hence, there should be an improved institutional arrangement for managing open access resources through the participation of local people in the management for minimizing the increase of land surface temperature in the study watershed. Moreover, enclosure management and plantation of multipurpose species on degraded communal lands shall be scaled-up to significantly reduce land surface temperatures.
      Citation: Air, Soil and Water Research
      PubDate: 2022-05-14T06:08:25Z
      DOI: 10.1177/11786221221097917
      Issue No: Vol. 15 (2022)
  • Carbon Emissions from Virtual and Physical Modes of Conference and
           Prospects for Carbon Neutrality: An Analysis From India

    • Authors: Aravind Gandhi Periyasamy, Amarjeet Singh, Khaiwal Ravindra
      Abstract: Air, Soil and Water Research, Volume 15, Issue , January-December 2022.
      Virtual conferences are environment-friendly alternatives to physical conferences. COVID-19 pandemic has increased the use of virtual conferences. However, they are not without their share of impact on the environment. We assessed the carbon emissions (CE) of a three day national public health conference with 1474 attendees held in virtual mode and the potential CE saved compared to the physical mode. The CE of the virtual conference were estimated to be 6.44 Metric Tonne (MT) carbon dioxide (CO2) Equivalent (Eq). Potential CE that would have resulted from the physical mode of the conference were 355.85 MT CO2 Eq which is 55 times higher than the virtual mode. The live video streaming of the proceedings was the highest contributor to the virtual conference’s overall CE (81.5%). A digitally sober conference would have emitted 1.27 MT CO2 Eq, translating to a CE reduction of 80.3% from the estimated virtual conference emission. Academic conferences should strive to become carbon neutral by adopting the virtual mode of conferencing, and within that, digital sobriety should be the policy of action. Policies to motivate the adoption of virtual conferencing and digital sobriety need to be undertaken at the organizational and individual levels.
      Citation: Air, Soil and Water Research
      PubDate: 2022-04-30T05:31:24Z
      DOI: 10.1177/11786221221093298
      Issue No: Vol. 15 (2022)
  • Nano-Clay and Iron Impregnated Clay Nanocomposite for Cu2+ and Pb2+ Ions
           Removal from Aqueous Solutions

    • Authors: Mekonnen Maschal Tarekegn, Raj Mohan Balakrishnan, Andualem Mekonnen Hiruy, Ahmed Hussen Dekebo, Hema Susmitha Maanyam
      Abstract: Air, Soil and Water Research, Volume 15, Issue , January-December 2022.
      Several physicochemical techniques have been widely studied for heavy metals removal despite most of them are associated with challenges of higher cost, accessibility, and complex technical feasibility. In this study, nano-sorbent materials were developed from a naturally available clay matrices and its heavy metals (Cu2+ and Pb2+) removal capacity was tested at its pristine and iron impregnated form. Both top to down and borohydride reduction methods were used to produce the nano-sorbents. The nano-sorbents were characterized by XRD, XRF, SEM, FTIR, BET, and TGA/DGA. The sorption was studied in batch experiments. The surface area, pore-volume, and pore diameter of nano-clay were found 43.49 m2/g, 0.104 cm3/g, and 2.81 nm, respectively while iron impregnated nano-clay has shown a surface area (73.11 m2/g), pore-volume (0.153 m3/g), and pore diameter (3.83 nm). Both nanoparticles have shown a mesoporous nature. The highest Cu2+ and Pb2+ removal capacity of nano-clay was 99.2% (~11.9 mg/g) and 99.6% (~11.95 mg/g), respectively. Whereas, the iron impregnated nano-clay has achieved the highest Cu2+ and Pb2+ removal efficiency 99.8% (~11.97 mg/g) and 99.7% (11.96 mg/g), respectively. The highest Cu2+ adsorption efficiency of iron impregnated nanoclay was achieved at pH 5.0, adsorbent dose 0.83 g/L, contact time 150 minutes, and Cu2+ initial concentration 4 ppm while its highest Pb2+ adsorption activity was achieved at pH 5.0, contact time (90 minutes), Pb2+ initial concentration (6 ppm), and the adsorbent dose (0.67 g/L). Whereas, the Cu2+ adsorption using nano-clay was highest at pH 5.0, contact time (180 minutes), adsorbent dose (1.0 g/L), and Cu2+ initial concentration (2 ppm). While, pH 5.0, contact time (90 minutes), adsorbent dose (0.83 g/L), and Pb2+ initial concentration (4 ppm) was found to the conditions of highest Pb2+ removal. In all cases, the pseudo-second-order kinetics indicated the presence of chemisorption. Langmuir adsorption characteristics has been reflected on Pb2+ and Cu2+ removal activities of the nanoclay and iron impregnated nanoclay, respectively. Whereas, Freundlich isotherm model was better fitted for Cu2+ adsorption activity of the nanoclay. The −ΔG (
      Citation: Air, Soil and Water Research
      PubDate: 2022-04-26T05:33:38Z
      DOI: 10.1177/11786221221094037
      Issue No: Vol. 15 (2022)
  • Assessment of the Potential for the Formation of a Circular Phosphorus
           Cycle Using Substance Flow Analysis Based on Reports from Malaysia

    • Authors: Latifah Abdul Ghani
      Abstract: Air, Soil and Water Research, Volume 15, Issue , January-December 2022.
      Sustainability of phosphorus (P) requires detailed and serious key management strategies to control the P flow balance across the environmental systems. During the 1970s, the reserve of phosphate in Malaysia was at its highest level, which led to a decline in resources to the continuous demand increased the import trading of these resources from foreign countries. Consequently, the increased import rate led to imbalanced essential nutrient flow that could impact the national security. The depletion of P reserves initiated in the 1970s triggered the Malaysian government to act quickly by comparing the performance of P accounting indicators according to its primary flow in different ministries. However, the capital injections to Small Medium Industry (SMI) and non-SMI players that increased since the mid-2000s returned the imbalanced P loss to normal. This study utilised extant literature for the development of guidelines in identifying ‘hotspots’ in P flow return, with particular emphasis on national P security achievements. Based on the findings, this study successfully documented the current research patterns of P flow in various systems related to the main P problems, evaluated flow chain requirements and possible impacts of P inputs-outputs, apart from developing solutions to guide policymakers in considering the aspects of substance flow analysis (SFA) approaches in establishing the national P modelling. To reduce the P nutrient leaching down to the levels observed in the early 1990s, a fundamental and better understanding of nutrient management practices coupled with minimised uncertainty of the P catchment scale is required. Monitoring the dispersion of P nutrient can prevent environmental degradation. In conclusion, this review provided a potential approach to achieve new management targets by proposing P load reduction strategies which focuses on the current trend of P demand-production for long-term sustainability of non-renewable resources.
      Citation: Air, Soil and Water Research
      PubDate: 2022-04-23T05:44:34Z
      DOI: 10.1177/11786221221089640
      Issue No: Vol. 15 (2022)
  • Why Agricultural Tools Work in Theory But Aren’t Adopted in Practice: A
           Grounded Theory Approach to ICT in Ghana and Kenya

    • Authors: Adrian Mallory, Alison Parker, Paul Hutchings, Ruben Sakrabani
      Abstract: Air, Soil and Water Research, Volume 15, Issue , January-December 2022.
      Organic fertilisers could contribute to addressing the issues of declining soil fertility, food security and waste management by recycling human waste for use in sub-Saharan Africa. The variable nutrient content of such products can make targetted application more difficult than in chemical fertilisers. One solution to this could be the use of in-field soil testing and information, particularly with the expansion of mobile technology. This research investigated the role of information and soil testing in 43 farmers using human waste derived fertilisers in Kenya and Ghana. Interviews were conducted to understand the use and sources of information in farming and the perception of soil testing technologies. It was found that mobile based testing was unlikely to be adopted for reasons of low priority, the type of knowledge being shared and trust after failures of different projects. Farmers did not see soil testing as the major issue that they needed to solve. Mobile technology was mostly used for visual and oral communication whereas soil testing often provided information in an unsuitable way. Farmers also had limited trust in new projects as they had previously had project failures that did not help them. In order to achieve sustainable adoption of technology there needs to be improved methods of disseminating and learning from project failures to prevent repeated attempts at inappropriate technology in the future.
      Citation: Air, Soil and Water Research
      PubDate: 2022-04-15T06:00:22Z
      DOI: 10.1177/11786221221092782
      Issue No: Vol. 15 (2022)
  • Farmers’ Perceptions about Irrigation Roles in Climate Change Adaptation
           and Determinants of the Choices to WUE-Improving Practices in Southern

    • Authors: Alefu Chinasho, Bobe Bedadi, Tesfaye Lemma, Tamado Tana, Tilahun Hordofa, Bisrat Elias
      Abstract: Air, Soil and Water Research, Volume 15, Issue , January-December 2022.
      Irrigation enhances resilience to the negative impacts of climate change through sustainable food production and environmental health. However, water is a scarce resource that needs efficient utilization. This study explored (1) farmers’ perceptions about the roles of irrigation in climate change adaptation and (2) determinants of the choices to selected WUE-improving soil and water management practices in southern Ethiopia. A multistage sampling technique was used to survey 373 households. The results indicated that the majority of surveyed households were male-headed: 90.6%, above 40 years old: 56.8%, and uneducated: 73.5%. They perceived that irrigation improved their net income (INCOM): 88%, acted as insurance against decreased rainfall (IADR): 44.8%, and insurance against increased temperature (IAIT): 70%; though the water was not available in all dry seasons: 55%. The choice to tightly close water-diversion points after use is significantly positively (p 
      Citation: Air, Soil and Water Research
      PubDate: 2022-04-11T11:51:21Z
      DOI: 10.1177/11786221221092454
      Issue No: Vol. 15 (2022)
  • An integrated Artificial Intelligence and GIS spatial analyst tools for
           Delineation of Groundwater Potential Zones in complex terrain: Fincha
           Catchment, Abay Basi, Ethiopia

    • Authors: Habtamu Tamiru, Meseret Wagari, Bona Tadese
      Abstract: Air, Soil and Water Research, Volume 15, Issue , January-December 2022.
      In this paper, the performance of Artificial Intelligence (AI) in Geospatial analysis and GIS platforms for the prospecting of potential groundwater zones was evaluated in Fincha catchment, Abay, Ethiopia. Components of geospatial data under morphometric, hydrologic, permeability, and surface dynamic change were confirmed as the criteria for prospecting groundwater potential zones. The influence of the individual criterion was ranked and weighted in Artificial Neural Networks (ANN) training model and Analytical Hierarchy Process (AHP). The correctness of the weights fixed in the ANN and AHP was evaluated with target data assigned to the networks and consistency index (CI) respectively. The weighted overlay analysis in the GIS environment was implemented to generate the promising zones in both approaches (ANN and GIS). The results obtained in the ANN model and GIS were evaluated based on pumping rate and ground-truthing points. Groundwater potential zones of five and four classes were delineated in AI and GIS techniques respectively, and this is an indicator for the effectiveness of AI in geospatial analysis for prospecting of potential zones than the traditional GIS technique. The percentage of accuracy in both methods was measured from the ROC curve and AUC. Therefore, it was found that the delineated groundwater potential zones and the ground-truthing points were agreed with 96% and 91% in the AI and GIS platforms respectively. Finally, it is concluded that the ANN model is an effective tool for the delineation of groundwater prospective zones.
      Citation: Air, Soil and Water Research
      PubDate: 2022-04-06T04:48:24Z
      DOI: 10.1177/11786221211045972
      Issue No: Vol. 15 (2022)
  • Identification of Suitable Site-specific Recharge Areas using Fuzzy
           Analytic Hierarchy Process (FAHP) Technique: A Case Study of Iranshahr
           Basin (Iran)

    • Authors: Mojtaba Zaresefat, Mohiuddin Ahrari, Gholam Reza Shoaei, Mahin Etemadifar, Iman Aghamolaie, Reza Derakhshani
      Abstract: Air, Soil and Water Research, Volume 15, Issue , January-December 2022.
      Iranshahr Basin is located in the Sistan and Baluchistan province, subject to severe drought and excessive groundwater utilization. Over-reliance on groundwater resources in this area has led to aquifer drawdowns and socio-economic problems. The present study aimed to identify appropriate sites for Artificial Recharge Groundwater (ARG) in a single platform by applying GIS fuzzy logic spatial modeling. Three stages were performed. In stage one, nine factors affecting ARG were collected based on the literature review. In stage two, geology, soil, and land-use layers were digitized from the existing maps. Some layers such as rainfall, unsaturated thickness, water quality, and transmissivity data were imported to ArcGIS environments, and their surface maps were made by Ordinary Kriging (OK) method. In stage three, the parameters were standardized with the fuzzy membership functions, and the GAMMA 0.5 fuzzy overlay model was applied for aggregation parameters. Results showed that 72.8%, 16.7%, 7.7%, 2.5% of the areas were classified as unsuitable, moderate, suitable, and perfectly suitable sites for planning a groundwater recharge site. Subsequently, the minimum area required regarding the possible errors based on the literature review determined six sites (A–E) as areas with higher priority. Then, the recommended unsuitable/suitable sites were validated and omitted by using some more detailed views. Finally, two sites (E and F) were omitted, and four sites (A, B, C, D) were recommended for future artificial recharge planning.
      Citation: Air, Soil and Water Research
      PubDate: 2022-03-26T03:54:53Z
      DOI: 10.1177/11786221211063849
      Issue No: Vol. 15 (2022)
  • Nutrient Recovery From Organic-Rich Wastewater Through Struvite
           Precipitation using Air Cathode Electrocoagulation Technology

    • Authors: Agus Jatnika Effendi, Mellyana Said Baashen, Syarif Hidayat
      Abstract: Air, Soil and Water Research, Volume 15, Issue , January-December 2022.
      This study developed an innovative method for phosphate recovery contained in wastewater using air cathode electrocoagulation (ACEC) technology. This technique has the advantage of low energy consumption since it can effectively produce the struvite precipitate without any electrical-grid energy consumption. The experiments were conducted under recirculating batch mode by varying the recirculation rate and initial pH of wastewater to investigate their effects on the ACEC reactor performance. SEM-EDS and XRD analyses were performed to examine the morphology and structure of the produced crystals. The result showed that the precipitates exhibited in the form of crystals with irregularly shaped accompanied by a sharp at the surface and composed of Mg (6.67%), P (6.78%), N (1.66%), and O (47.41%). XRD chromatogram showed that the precipitate matched the reference pattern for struvite. The recirculation rate of 2.0 mL min−1 was determined as an optimum condition with nitrogen and phosphate removal, nitrogen and phosphate removal rate, and struvite precipitation rate was 14.7% ± 1.2%, 57.1% ± 1.1%, 22.9 ± 0.9 mg L−1 h−1, 18.6 ± 0.9 mg L−1 h−1, and 498 mg h−1, respectively. The recirculation rate affects the reactor performance through the magnitude of the hydraulic retention time of nutrients on the reactor and the potential electrical energy generated in the reactor. On the other hand, the reactor with initial pH 8 achieved the best performance with the nitrogen and phosphate removal of 24.6% ± 1.6% to 88.4% ± 3.8%, nitrogen and phosphate removal rate of 24.2 ± 2.1 mg L−1 h−1 and 35.3 ± 2.1 mg L−1 h−1, respectively, and the struvite precipitation rate of 900 mg h−1. Furthermore, when the initial pH of wastewater increased from 7 to 8, the struvite precipitation rate increased from 499 to 900 mg−1. However, increasing the initial pH of wastewater from 8 to 9 caused a decrease in struvite precipitation rate from 900 to 656 mg h−1. These results demonstrated that the recirculation rate and initial pH of wastewater control the process of the struvite precipitation process in ACEC technology.
      Citation: Air, Soil and Water Research
      PubDate: 2022-03-24T04:11:13Z
      DOI: 10.1177/11786221221087989
      Issue No: Vol. 15 (2022)
  • The Separation of the Unpaved Roads and Prioritization of Paving These
           Roads Using UAV Images

    • Authors: Mohammad Mansourmoghaddam, Hamid Reza Ghafarian Malamiri, Fahime Arabi Aliabad, Mehdi Fallah Tafti, Mohamadreza Haghani, Saeed Shojaei
      Abstract: Air, Soil and Water Research, Volume 15, Issue , January-December 2022.
      Prioritization of pathways to perform asphalt pavement operations has always been one of the most important concerns for municipalities, for which, currently there is no specific planning and pattern. In the present study, using (Unmanned Aerial Vehicle) UAV images, a land cover map of the case study was prepared. For this purpose, the accuracy of various object-based classification methods including the Bayes method, the Support Vector Machine (SVM), the K nearest neighbor (KNN), the Decision tree (DT), and the Random tree (RT) was investigated. Findings of the study showed that by increasing heterogeneity in the composition of the studied phenomenon in the image, different classification algorithms offer results different from each other. The obtained results of the accuracy evaluation of classification methods indicate that the SVM method with 80% kappa coefficient and 89% overall accuracy had the best performance compared to other methods. As a result, built-up land covers, bare land, vegetation cover, and paved roads were separated using this method. Then, the exact boundary of pathways was prepared using Google Earth images, and then, using the land-use map prepared from the case study, the roads were divided into two categories: paved and unpaved. To determine the prioritization of unpaved roads for applying asphalt, the proportion of built-up lands (BUL) to bare (non-built-up) lands (BL) was used in each path. Based on the obtained results, 1% of the roads in the case study was placed on a very high level of asphalt, and then 9%, 3%, 49%, 38%, were placed on a high priority to low priority, respectively.
      Citation: Air, Soil and Water Research
      PubDate: 2022-03-22T06:35:21Z
      DOI: 10.1177/11786221221086285
      Issue No: Vol. 15 (2022)
  • Reuse of Treated Domestic Wastewater by Employing Artificial Wetlands in

    • Authors: Liz Miller Gil, José Fábrega Duque
      Abstract: Air, Soil and Water Research, Volume 15, Issue , January-December 2022.
      Reuse of treated wastewater in irrigation is an alternative to achieve greater water availability and benefits to the soil due to its nutrient content. It represents a solution to challenges in water management, climate change and water scarcity in dry seasons. In Panama’s Dry Arch, the lack of water is critical during dry season months, which makes it essential to look for sustainable alternatives as water source. This paper describes the use of artificial wetlands with horizontal subsurface flow, and we are going to use partially treated domestic wastewater. The aquatic plant types employed were Echinochloa polystachya (German grass) and Brachiaria arrecta (Tanner grass) with the objective of improve the quality of the effluent from the Wastewater Treatment Plant (WWTP) in Chitre for the irrigation of forages. This study was carried out from August to December 2019. Fine Gravel was used in this study as a substrate. The parameters analyzed were pH, Total dissolved solids, Electrical Conductivity, Chemical Oxygen Demand, Turbidity, Chlorides, Sulfates, Iron, Chromium+6, Copper; nutrients such as Total nitrogen and Total phosphorus. Fecal coliforms were also analyzed. Results showed that treated wastewater is a viable alternative for irrigation due to its high nutrient content, but it must be managed safely so as not to generate risks to public health.
      Citation: Air, Soil and Water Research
      PubDate: 2022-03-19T07:20:15Z
      DOI: 10.1177/11786221221074401
      Issue No: Vol. 15 (2022)
  • Relevance of Integrated Air, Soil and Water Research Studies for the New

    • Authors: Jesús Rodrigo-Comino, Erick R. Bandala, Mohd Talib Latif
      Abstract: Air, Soil and Water Research, Volume 15, Issue , January-December 2022.
      Our ecosystems are facing changes at a local andglobal scale because of human interventions. These transformations are a result of drastic urbanization, rapid industrialization, and natural resources exploitation to provide livelihoods and commodities for the increasing population. Recent global events such as the COVID-19 pandemic or cross-bordering conflicts are not delaying these changes. To understand these changes, increasing efforts of the scientific community to find sustainable solutions is vital as it is consistent financial support from governments and scientific agencies. Air, Soil and Water Research (ASW) Editorial Board envision multidisciplinary and transversal research as an interesting strategy to develop knowledge and useful datasets which can directly benefit society through efficient land management plans.
      Citation: Air, Soil and Water Research
      PubDate: 2022-03-14T08:47:24Z
      DOI: 10.1177/11786221221086256
      Issue No: Vol. 15 (2022)
  • Screening and Identification of Antibiotic Resistant Gene int1 in
           Coliforms Isolated From Drinking Water

    • Authors: A. M. Masudul Azad Chowdhury, Sohana Akter Mina, A. K. M Zakir Hossain, Pabitra Debnath, Md Zahid Hasan
      Abstract: Air, Soil and Water Research, Volume 15, Issue , January-December 2022.
      Antibiotic-resistance genes carried by coliforms in drinking water is a concerning issue for public health in Bangladesh. This research was carried out to identify coliforms in drinking water and to understand the importance of the int1 gene of coliforms in the spread of resistance to bacterial antibiotics through consumption of contaminated water. A total of 31 drinking water samples were collected from restaurants (n = 18), health center (n = 9), and residences (n = 4) located in Chattogram City, Bangladesh. The isolation and identification of coliforms was performed on selective media with a combination of biochemical and molecular analysis. PCR amplification of the LacZ, uidA and int1 genes was carried out for the identification of the coliform and fecal coliform and antibiotic resistant gene, respectively. Antimicrobial susceptibility test was performed according to the Kirby-Bauer disk diffusion method with McFarland standard against three selective antibiotics including co-trimoxazole, ciprofloxacin, and ampicillin. Of 31 drinking water samples, coliforms were detected within 32% (n = 10) of the water samples, nine samples were collected in restaurants and one sample in a residence. But no coliform was detected in the drinking water of the health center. Among the identified coliforms, the prevalence of fecal coliforms and the int1 gene was 60% (n = 6) and 40% (n = 4), relatively. All isolates containing the int1 microbial-resistance gene were resistant to ampicillin.This study shows that drinking water consumed in different restaurants located in Chattogram, Bangladesh is contaminated by antibiotic-resistant gene bearing coliforms that not only increase the risk of water-borne disease, but also may be the major cause of antibiotic resistance transmission in this part of Bangladesh.
      Citation: Air, Soil and Water Research
      PubDate: 2022-03-12T10:35:00Z
      DOI: 10.1177/11786221221084715
      Issue No: Vol. 15 (2022)
  • Zirconium Based MOFs and Their Potential Use in Water Remediation: Current
           Achievements and Possibilities

    • Authors: Deborah Xanat Flores-Cervantes, Claudia Medina-Montiel, Nelly Ramirez-Corona, Ricardo Navarro-Amador
      Abstract: Air, Soil and Water Research, Volume 15, Issue , January-December 2022.
      Water pollution and scarcity are two of the most serious problems humanity is currently facing. Therefore, it is important to develop effective and inexpensive technologies and treatments to remove key pollutants from water. Zr based Metal-Organic Frameworks (MOFs) are new materials with the potential to remove organic and inorganic pollutants. However, it is important to critically analyze their performance in laboratory trials to evaluate their scalability potential for wastewater treatment. This document presents a critical review of the most recent studies and advances regarding Zr based MOFs, specifically the UiO-66 and Ui-O67 MOFs and analogous materials. We found that, although these materials are effective at removing inorganic and organic pollutants in water, there are still available research opportunities and knowledge gaps that need to be addressed. There is a need to further understand the mechanisms involved in the removal process to be able to develop more effective materials and/or to determine the best operating conditions during its implementation. Variations in removal efficiencies between the same MOFs also call for a more detailed description of the synthesis, as well as a better characterization of the material. This is because small variations in the characteristics of MOFs lead to non-homogeneous results, making accurate predictions of their removal capacity more difficult to determine. Finally, there is a need to better understand the stability of Zr based MOFs, as well as their removal capacity and reusability in wastewater with competitive ions, at standard pH and temperature operating conditions.
      Citation: Air, Soil and Water Research
      PubDate: 2022-02-28T09:14:41Z
      DOI: 10.1177/11786221221080183
      Issue No: Vol. 15 (2022)
  • Evaluating Drinking Water Quality Using Water Quality Parameters and
           Esthetic Attributes

    • Authors: Meseret B Addisie
      Abstract: Air, Soil and Water Research, Volume 15, Issue , January-December 2022.
      This study assesses the quality of drinking water sources in the highlands of Ethiopia. The study considered a combination of users’ perceptions with the measured water quality parameters determined using the water quality index (WQI) tool. Data were collected using a cross-sectional research design for a household survey, and water quality samples were collected from improved and unimproved alternative sources. Nine physicochemical and two bacteriological analyses were performed. The result shows that esthetic water quality parameters had a potential interpretation of water quality as of the laboratory analysis. The taste was the dominant and easily detectable indicator as compared to odor and color. This is associated with the higher correlation between iron and manganese that deter the taste of water. Tap water was the only free source of bacteriological contamination. The WQI values show that one improved and three unimproved sources were found in the rank of unsuitable for drinking purposes. Unimproved sources are harmful for drinking, although they are used as an alternative source of water. Finally, the study suggests that due consideration of esthetic factors as measured parameters is fundamental for the sustainable use of drinking water infrastructures.
      Citation: Air, Soil and Water Research
      PubDate: 2022-02-12T06:12:25Z
      DOI: 10.1177/11786221221075005
      Issue No: Vol. 15 (2022)
  • Evaluation of Tillage Systems on Wheat Crop Production Under Surface and
           Sprinkler Irrigation Methods: Application for Rural Areas Close to
           Baghdad, Iraq

    • Authors: Abdul Kareem Hasan Odhafa, Nabil Raheem Lahmod, Abdul Kareem Hamad Hassan
      Abstract: Air, Soil and Water Research, Volume 15, Issue , January-December 2022.
      This study investigated the effect of soil conservation tillage systems on the growth and productivity of wheat crops under surface and sprinkler irrigation. Field trials were conducted in 2016–2017 and 2017–2018 using three tillage systems under a split-plot design by a systematic arrangement with three replicates. Experimental plots included two irrigation methods (surface and sprinkler), within which were sub-plots for conventional tillage (CT), minimum tillage (MT), and zero tillage (ZT). The results show that surface irrigation treatment produced the greatest wheat crop growth (plant height, length of spike and biomass) in both seasons compared to sprinkler irrigation. The CT treatments resulted in better growth than ZT and MT. However, ZT recorded a decrease in biomass and grain yield of less than 10% compared to CT during both seasons, although superior plant height resulted from CT during the second season. Even so, ZT reduced the water use to 17% and 16% for the first and second seasons, respectively. These results indicate that ZT or MT may slightly reduce wheat yield under sprinkler and surface irrigation, but will consume less irrigation water, providing a sustainable strategy in water-deficient conditions.
      Citation: Air, Soil and Water Research
      PubDate: 2022-01-18T06:33:51Z
      DOI: 10.1177/11786221211066946
      Issue No: Vol. 15 (2022)
  • Industrial Wastewater Treatment Efficiency of Mixed Substrate (Pumice and
           Scoria) in Horizontal Subsurface Flow Constructed Wetland: Comparative
           Experimental Study Design

    • Authors: Mekonnen Birhanie Aregu
      Abstract: Air, Soil and Water Research, Volume 15, Issue , January-December 2022.
      The discharge of untreated wastewater causes serious public and environmental health problems. Hence, the present study aimed to evaluate the combined adsorption potential of the two substrates (Pumice and Scoria) in a horizontal subsurface flow constructed wetland. The substrates were collected from the Ethiopian rift belt. Composite samples from tannery wastewater before and after treatment of four different retention times (RT) were collected and analyzed. Chrysopogon zizanioides was planted in one of the mixed substrate beds and grown for 5 months before running wastewater for the treatment. The maximum removal efficiency of the planted bed revealed that BOD5 at RT 7 days effluent concentration of 59.33 mg/L (96.38% removal), COD at RT 7 days 129.33 mg/L (98.14% removal), NO3-N at RT 7 days 0.28 mg/L (99.76% removal), TN 27.33 mg/L (95.80% removal), PO4-P RT 9 days 0.01 mg/L (99.9% removal), TP at RT 7 days 6 mg/L (95% removal), Sulfide at RT 7 days 0.27 mg/L (99.9% removal), sulfate at RT 9 days 87.9 mg/L (91.8% removal), and total Chromium at RT 7 days 0.1 mg/L (99.45% removal) respectively. The efficiency of the study and control beds was tested by a Two-Sample t-Test. The result showed that there was a significant difference at a 95% confidence interval, p-value = .002. Hence, the mixed substrate with plants performs better than the unplanted one, which means it can be effective for the treatment of high-strength industrial wastewater using horizontal subsurface flow constructed wetland.
      Citation: Air, Soil and Water Research
      PubDate: 2022-01-18T06:27:06Z
      DOI: 10.1177/11786221211063888
      Issue No: Vol. 15 (2022)
School of Mathematical and Computer Sciences
Heriot-Watt University
Edinburgh, EH14 4AS, UK
Tel: +00 44 (0)131 4513762

Your IP address:
Home (Search)
About JournalTOCs
News (blog, publications)
JournalTOCs on Twitter   JournalTOCs on Facebook

JournalTOCs © 2009-