Subjects -> EARTH SCIENCES (Total: 771 journals)
    - EARTH SCIENCES (527 journals)
    - GEOLOGY (94 journals)
    - GEOPHYSICS (33 journals)
    - HYDROLOGY (29 journals)
    - OCEANOGRAPHY (88 journals)

EARTH SCIENCES (527 journals)                  1 2 3 | Last

Showing 1 - 200 of 371 Journals sorted by number of followers
Nature Geoscience     Full-text available via subscription   (Followers: 171)
IEEE Geoscience and Remote Sensing Letters     Hybrid Journal   (Followers: 156)
International Journal of Remote Sensing     Hybrid Journal   (Followers: 151)
Earth and Planetary Science Letters     Hybrid Journal   (Followers: 149)
Journal of Atmospheric and Solar-Terrestrial Physics     Hybrid Journal   (Followers: 143)
Journal of the Atmospheric Sciences     Hybrid Journal   (Followers: 83)
Ocean & Coastal Management     Hybrid Journal   (Followers: 62)
Marine Policy     Hybrid Journal   (Followers: 62)
International Journal of Geographical Information Science     Hybrid Journal   (Followers: 55)
Geochimica et Cosmochimica Acta     Hybrid Journal   (Followers: 54)
Natural Hazards     Hybrid Journal   (Followers: 53)
ICES Journal of Marine Science: Journal du Conseil     Hybrid Journal   (Followers: 53)
Journal of Earth System Science     Open Access   (Followers: 52)
Hydrological Processes     Hybrid Journal   (Followers: 44)
Aquatic Conservation Marine and Freshwater Ecosystems     Hybrid Journal   (Followers: 44)
Estuarine, Coastal and Shelf Science     Hybrid Journal   (Followers: 42)
Geophysical Journal International     Hybrid Journal   (Followers: 40)
Journal of Hydrologic Engineering     Full-text available via subscription   (Followers: 40)
Groundwater     Hybrid Journal   (Followers: 37)
International Journal of Earth Sciences     Hybrid Journal   (Followers: 37)
International Journal of Applied Earth Observation and Geoinformation     Open Access   (Followers: 36)
Physics of the Earth and Planetary Interiors     Hybrid Journal   (Followers: 34)
Journal of Atmospheric and Oceanic Technology     Hybrid Journal   (Followers: 33)
Geomorphology     Hybrid Journal   (Followers: 33)
Marine Geology     Hybrid Journal   (Followers: 32)
Marine Environmental Research     Hybrid Journal   (Followers: 32)
Geology Today     Hybrid Journal   (Followers: 31)
Journal of Geotechnical and Geoenvironmental Engineering     Full-text available via subscription   (Followers: 31)
Chemical Geology     Hybrid Journal   (Followers: 31)
Journal of Quaternary Science     Hybrid Journal   (Followers: 31)
Coastal Management     Hybrid Journal   (Followers: 30)
Reviews of Modern Physics     Full-text available via subscription   (Followers: 30)
Journal of Geology     Full-text available via subscription   (Followers: 30)
Advances In Physics     Hybrid Journal   (Followers: 29)
GPS Solutions     Hybrid Journal   (Followers: 28)
Landslides     Hybrid Journal   (Followers: 27)
Quaternary Science Reviews     Hybrid Journal   (Followers: 26)
Bulletin of the Seismological Society of America     Full-text available via subscription   (Followers: 26)
Journal of Structural Geology     Hybrid Journal   (Followers: 26)
Ground Water Monitoring & Remediation     Hybrid Journal   (Followers: 25)
Earth Surface Processes and Landforms     Hybrid Journal   (Followers: 25)
Geoforum     Hybrid Journal   (Followers: 25)
Environmental Geology     Hybrid Journal   (Followers: 25)
Tectonophysics     Hybrid Journal   (Followers: 24)
Geocarto International     Hybrid Journal   (Followers: 23)
Coral Reefs     Hybrid Journal   (Followers: 23)
Bulletin of Volcanology     Hybrid Journal   (Followers: 22)
Marine and Petroleum Geology     Hybrid Journal   (Followers: 21)
Hydrobiologia     Hybrid Journal   (Followers: 21)
Hydrogeology Journal     Hybrid Journal   (Followers: 21)
Journal of Plasma Physics     Hybrid Journal   (Followers: 21)
Tellus A     Open Access   (Followers: 21)
Water Resources     Hybrid Journal   (Followers: 21)
Journal of Marine Research     Full-text available via subscription   (Followers: 20)
Tellus B     Open Access   (Followers: 20)
Sedimentary Geology     Hybrid Journal   (Followers: 20)
Geophysics     Full-text available via subscription   (Followers: 20)
Earthquake Spectra     Hybrid Journal   (Followers: 20)
Geological Journal     Hybrid Journal   (Followers: 19)
Dynamics of Atmospheres and Oceans     Hybrid Journal   (Followers: 19)
Quaternary Research     Full-text available via subscription   (Followers: 19)
Global and Planetary Change     Hybrid Journal   (Followers: 18)
Physics of Metals and Metallography     Hybrid Journal   (Followers: 18)
African Journal of Aquatic Science     Hybrid Journal   (Followers: 17)
Journal of Volcanology and Geothermal Research     Hybrid Journal   (Followers: 17)
Computational Geosciences     Hybrid Journal   (Followers: 17)
Geological Magazine     Hybrid Journal   (Followers: 16)
Atmosphere-Ocean     Full-text available via subscription   (Followers: 16)
The Holocene     Hybrid Journal   (Followers: 16)
Natural Hazards Review     Full-text available via subscription   (Followers: 15)
Journal of Metamorphic Geology     Hybrid Journal   (Followers: 15)
Journal of Asian Earth Sciences     Hybrid Journal   (Followers: 15)
Sedimentology     Hybrid Journal   (Followers: 15)
Journal of Applied Geophysics     Hybrid Journal   (Followers: 15)
Quaternary International     Hybrid Journal   (Followers: 14)
Ocean Development & International Law     Hybrid Journal   (Followers: 14)
Applied Geochemistry     Hybrid Journal   (Followers: 14)
Soil Dynamics and Earthquake Engineering     Hybrid Journal   (Followers: 14)
Computers and Geotechnics     Hybrid Journal   (Followers: 13)
Journal of the World Aquaculture Society     Hybrid Journal   (Followers: 13)
Continental Shelf Research     Hybrid Journal   (Followers: 13)
Journal of Hydro-environment Research     Full-text available via subscription   (Followers: 13)
Pramana     Open Access   (Followers: 13)
Electromagnetics     Hybrid Journal   (Followers: 13)
Applied Geophysics     Hybrid Journal   (Followers: 12)
Ocean Modelling     Hybrid Journal   (Followers: 12)
Pure and Applied Geophysics     Hybrid Journal   (Followers: 12)
Arctic, Antarctic, and Alpine Research     Open Access   (Followers: 12)
European Journal of Mineralogy     Hybrid Journal   (Followers: 12)
Frontiers of Earth Science     Hybrid Journal   (Followers: 12)
Ore Geology Reviews     Hybrid Journal   (Followers: 11)
Journal of Petrology     Hybrid Journal   (Followers: 11)
Journal of African Earth Sciences     Hybrid Journal   (Followers: 11)
Contributions to Mineralogy and Petrology     Hybrid Journal   (Followers: 11)
CATENA     Hybrid Journal   (Followers: 11)
IEEE Journal of Oceanic Engineering     Hybrid Journal   (Followers: 11)
Gondwana Research     Hybrid Journal   (Followers: 10)
Marine Mammal Science     Hybrid Journal   (Followers: 10)
Physics of Plasmas     Hybrid Journal   (Followers: 10)
Cretaceous Research     Hybrid Journal   (Followers: 10)
Journal of Marine Systems     Hybrid Journal   (Followers: 10)
Earth Interactions     Open Access   (Followers: 10)
Australian Journal of Earth Sciences: An International Geoscience Journal of the Geological Society of Australia     Hybrid Journal   (Followers: 10)
Bulletin of Earthquake Engineering     Hybrid Journal   (Followers: 10)
Lithos     Hybrid Journal   (Followers: 9)
Journal of Seismology     Hybrid Journal   (Followers: 9)
Limnology     Hybrid Journal   (Followers: 9)
Physik in unserer Zeit     Hybrid Journal   (Followers: 9)
Acta Geophysica     Hybrid Journal   (Followers: 9)
Journal of Contemporary Physics (Armenian Academy of Sciences)     Hybrid Journal   (Followers: 9)
Geotectonics     Hybrid Journal   (Followers: 9)
Facies     Hybrid Journal   (Followers: 9)
Comptes Rendus : Geoscience     Open Access   (Followers: 9)
Journal of Geodesy     Hybrid Journal   (Followers: 9)
Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards     Hybrid Journal   (Followers: 8)
Geophysical & Astrophysical Fluid Dynamics     Hybrid Journal   (Followers: 8)
Natural Resources Research     Hybrid Journal   (Followers: 8)
Geobiology     Hybrid Journal   (Followers: 8)
Quaternary Geochronology     Hybrid Journal   (Followers: 8)
Earthquake Engineering and Engineering Vibration     Hybrid Journal   (Followers: 8)
Geophysical Prospecting     Hybrid Journal   (Followers: 7)
International Journal of Geomechanics     Full-text available via subscription   (Followers: 7)
Physics of the Solid State     Hybrid Journal   (Followers: 7)
Acta Geotechnica     Hybrid Journal   (Followers: 7)
Plasma Physics Reports     Hybrid Journal   (Followers: 7)
Precambrian Research     Hybrid Journal   (Followers: 7)
Journal of Systematic Palaeontology     Hybrid Journal   (Followers: 7)
Applied Ocean Research     Hybrid Journal   (Followers: 7)
Rock Mechanics and Rock Engineering     Hybrid Journal   (Followers: 7)
Journal of Coastal Conservation     Hybrid Journal   (Followers: 6)
Journal of Geodynamics     Hybrid Journal   (Followers: 6)
Ocean Engineering     Hybrid Journal   (Followers: 6)
Petrology     Full-text available via subscription   (Followers: 6)
Applied Clay Science     Hybrid Journal   (Followers: 6)
Journal of Sea Research     Hybrid Journal   (Followers: 6)
Geochemistry : Exploration, Environment, Analysis     Hybrid Journal   (Followers: 6)
Ocean Dynamics     Hybrid Journal   (Followers: 6)
Chinese Geographical Science     Hybrid Journal   (Followers: 6)
Geo-Marine Letters     Hybrid Journal   (Followers: 6)
Marine and Freshwater Research     Hybrid Journal   (Followers: 6)
Resource Geology     Hybrid Journal   (Followers: 6)
Computational Mathematics and Mathematical Physics     Hybrid Journal   (Followers: 5)
Terra Nova     Hybrid Journal   (Followers: 5)
Geochemistry     Hybrid Journal   (Followers: 5)
Geofluids     Open Access   (Followers: 5)
Permafrost and Periglacial Processes     Hybrid Journal   (Followers: 5)
Zeitschrift für Geomorphologie     Full-text available via subscription   (Followers: 5)
Marine Geophysical Researches     Hybrid Journal   (Followers: 5)
Island Arc     Hybrid Journal   (Followers: 5)
Energy Exploration & Exploitation     Open Access   (Followers: 4)
Organic Geochemistry     Hybrid Journal   (Followers: 4)
Journal of Marine Science and Technology     Hybrid Journal   (Followers: 4)
Letters in Mathematical Physics     Hybrid Journal   (Followers: 4)
Limnologica     Hybrid Journal   (Followers: 4)
Marine Geodesy     Hybrid Journal   (Followers: 4)
Mineralium Deposita     Hybrid Journal   (Followers: 4)
Meteorologische Zeitschrift     Full-text available via subscription   (Followers: 4)
Geostandards and Geoanalytical Research     Hybrid Journal   (Followers: 3)
Mathematical Physics, Analysis and Geometry     Hybrid Journal   (Followers: 3)
Zeitschrift der Deutschen Gesellschaft für Geowissenschaften     Full-text available via subscription   (Followers: 3)
JETP Letters     Hybrid Journal   (Followers: 3)
Journal of Oceanology and Limnology     Hybrid Journal   (Followers: 3)
Lithology and Mineral Resources     Hybrid Journal   (Followers: 3)
Surveys in Geophysics     Hybrid Journal   (Followers: 3)
Contributions to Plasma Physics     Hybrid Journal   (Followers: 3)
Russian Geology and Geophysics     Hybrid Journal   (Followers: 3)
International Journal of Coal Geology     Hybrid Journal   (Followers: 3)
Journal of Petroleum Science and Engineering     Hybrid Journal   (Followers: 3)
Fundamental and Applied Limnology / Archiv für Hydrobiologie     Full-text available via subscription   (Followers: 3)
Geomagnetism and Aeronomy     Hybrid Journal   (Followers: 3)
Neues Jahrbuch für Geologie und Paläontologie - Abhandlungen     Full-text available via subscription   (Followers: 3)
Izvestiya, Physics of the Solid Earth     Hybrid Journal   (Followers: 2)
Annales Henri Poincaré     Hybrid Journal   (Followers: 2)
Journal of Mining Science     Hybrid Journal   (Followers: 2)
Journal of Geophysics and Engineering     Hybrid Journal   (Followers: 2)
Helgoland Marine Research     Open Access   (Followers: 2)
Stratigraphy and Geological Correlation     Full-text available via subscription   (Followers: 2)
Rocks & Minerals     Hybrid Journal   (Followers: 2)
Newsletters on Stratigraphy     Full-text available via subscription   (Followers: 2)
Polar Record     Hybrid Journal   (Followers: 2)
Mineralogy and Petrology     Hybrid Journal   (Followers: 2)
Izvestiya, Atmospheric and Oceanic Physics     Full-text available via subscription   (Followers: 1)
The Leading Edge     Hybrid Journal   (Followers: 1)
Russian Physics Journal     Hybrid Journal   (Followers: 1)
Doklady Physics     Hybrid Journal   (Followers: 1)
Studia Geophysica et Geodaetica     Hybrid Journal   (Followers: 1)
Physics of Life Reviews     Hybrid Journal   (Followers: 1)
Neues Jahrbuch für Mineralogie - Abhandlungen     Full-text available via subscription   (Followers: 1)
Reports on Mathematical Physics     Full-text available via subscription   (Followers: 1)
Russian Journal of Pacific Geology     Hybrid Journal  
Russian Journal of Mathematical Physics     Full-text available via subscription  
Physics of Wave Phenomena     Hybrid Journal  
Moscow University Physics Bulletin     Hybrid Journal  
Moscow University Geology Bulletin     Hybrid Journal  
Marine Georesources & Geotechnology     Hybrid Journal  
Journal of Mountain Science     Hybrid Journal  
Grassland Science     Hybrid Journal  
Glass Physics and Chemistry     Hybrid Journal  
Erwerbs-Obstbau     Hybrid Journal  
Bulletin of the Lebedev Physics Institute     Hybrid Journal  

        1 2 3 | Last

Similar Journals
Journal Cover
Acta Geophysica
Journal Prestige (SJR): 0.312
Citation Impact (citeScore): 1
Number of Followers: 9  
 
  Hybrid Journal Hybrid journal (It can contain Open Access articles)
ISSN (Print) 1895-7455 - ISSN (Online) 1895-6572
Published by Springer-Verlag Homepage  [2469 journals]
  • Deterioration law of intermittent jointed sandstone mechanical properties
           under water–rock interaction

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      Abstract: Abstract In water-rich mines, water conservancy, and hydropower projects, the rock mass is immersed in water for a long time, which leads to changes in its mechanical properties and affects the safety and stability of the engineering rock mass. Based on the long-term immersion of rock mass with intermittent joints by water, uniaxial compression tests were carried out on prefabricated intermittent jointed sandstone with five inclinations (0°, 30°, 45°, 60°, 90°) and three connectivity ratios (0.25, 0.50, 0.75) under different immersion times to study sandstone with intermittent joints’ mechanical response and deterioration mechanism. The research shows that: (1) With the increase of the joint inclination, the compressive strength and elastic modulus of the sandstone with intermittent joints first decreased and then increased, showing a U-shaped distribution. The compressive strength and elasticity of the sample with an inclination of 60° reach the minimum value; at the initial stage of immersion, the deterioration effect of the sample is more significant, and the deterioration effect decreases gradually with the increase in immersion time; in the initial stage of water immersion, the deterioration effect of the sample is more significant, and with the increase of the immersion time, the deterioration effect gradually weakens. (2) Immersion time and joint inclination have a great influence on the included angle, number, and mode of failure cracks. With the increase in immersion time, the plastic characteristics of the sample increase obviously, showing the characteristics of loose and weak; with the increase in joint inclination, the failure mode of the sample gradually changes from tension failure to tension shear failure, and tension failure. The influence degree of joints on failure is weak-induction-control-induction. (3) Under the water–rock action, the cement between mineral particles of the sample is gradually dissolved, the cementation of mineral particles is weakened, and the mineral particles develop into layered and flake structure, which gradually evolves from dense structure to porous loose structure. (4) The deterioration mechanism of the mechanical properties of the sandstone with intermittent joints under the water–rock action was analyzed from the perspectives of physics, chemistry, and mechanics. The deterioration of the mechanical properties of the sample is a process of gradual accumulation of damage.
      PubDate: 2022-06-23
       
  • Evaluating lateral riverbank erosion with sediment yield through
           integrated model in lower Gangetic floodplain, India

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      Abstract: One of the natural disasters caused by river meandering is riverbank erosion, which creates social, economic, and environmental problems in the riparian zone and serves as a source of increasing sedimentation levels in the river. Riverbank erosion and bank failure create a complex cyclical process, such as riverbank retreat, which cannot be easily measured and predicted by any model. The meandering flow along the Bhagirathi-Hooghly river has created riverbank erosion and riverbank retreat conditions in several areas, through which measuring bank stability and erosion is quite complex. As a result, the BSTEM model, integrating with HEC-RAS, has been used in this article to measure riverbank erosion and retreat accurately. Riverbank erosion and retreat data for 2019–2020 have been simulated based on data observed from 2016 to 2018 for accurate measurement. In addition, the total sediment yielded from the river bank has been calibrated and simulated with the help of sediment transport formulation in HEC-RAS, which indicates a gradual increase in river erosion at present (2019–2020). This model is expected to help formulate government policy on protecting riverbank erosion and river restoration in the future. Graphical abstract
      PubDate: 2022-06-22
       
  • Noise suppression of distributed acoustic sensing vertical seismic profile
           data based on time–frequency analysis

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      Abstract: Abstract Distributed acoustic sensing (DAS) technology is a novel technology applied in vertical seismic profile (VSP) exploration, which has many advantages, such as low cost, high precision, strong tolerance to harsh acquisition environment. However, the field DAS-VSP data are often disturbed by complex background noise and coupling noise with strong energy, affecting the quality of seismic data seriously. Therefore, we develop a time–frequency analysis method based on low-rank and sparse matrix decomposition (LSMD) and data position points distribution maps (DPM) to separate signals from noise. We adopt Multisynchrosqueezing Transform to construct the approximate ideal time–frequency representation of DAS data, which reduces the difficulty of signal to noise separation and avoids the loss of some effective information to a certain extent. The LSMD is performed to separate the signal component and noise component preliminarily. In addition, combined with the separated low-rank matrix and sparse matrix, we propose the DPM to improve the accuracy of signal component extraction and the recovery ability of the method for weak signals through the joint analysis of the maps in time domain and frequency domain. Both synthetic and field experiments show that the proposed method can suppress coupling noise and background noise and recover weak energy signals in DAS VSP data effectively.
      PubDate: 2022-06-21
       
  • Sustainable and adaptable measures to address climate change in China: a
           strategic analysis in urban planning

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      Abstract: Abstract Climate change is a global phenomenon impacting all countries. In order to mitigate against the impacts of climate change, it is necessary to take measures to minimise the impacts that will affect the human habitat especially the built environment in the future. In the light of the inequality of development over the world, including varying rates of economic growth, it will be difficult for developing countries to combat the effects of climate change due to the limited capital investment, varying levels of leadership and political commitment and technology levels. All the countries have to share responsibility for the historical and current global emissions of greenhouse gases originating from both developed and undeveloped countries. This studies the built environment and adapts the impacts to be increased in the climate change and this analysis the constraints the opportunities for managing impacts for human sustainability.
      PubDate: 2022-06-21
       
  • Rainfall erosion of mountain environment and people flow planning of
           Leshan giant Buddha site based on big data GIS

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      Abstract: Abstract Based on the big data GIS system, this paper first analyzes the methods and research results of the visualization of soil and water conservation level data at home and abroad. And for the proposed visual protection plan for land and water resources, a relatively excellent data architecture and the latest persistence plan have been designed. Based on this point, this paper investigates the cause of rainfall erosion and fluctuation in the mountain environment of S city and studies and determines the important technical points of water and soil conservation data images. Based on the results of this kind of research, the article further analyzes the temporal and spatial characteristics of the data and, based on the RUSLE model, conducts a directional consideration of the distribution characteristics of environmental rainfall erosion in mountainous environments: that is, comprehensively examines the impact of rainfall erosion in mountainous environments from both natural and social factors. The main factor of the pattern. Using multi-linear regression equations, combined with environmental variables and bioclimatic variables, the spatial distribution of land in Q mountainous areas is predicted under the background of global change. Finally, the article conducted an in-depth study on the people flow planning of the Leshan Giant Buddha Scenic Spot, introduced the construction of the Leshan Giant Buddha Scenic Spot Project Network, and adopted comprehensive technical solutions such as "portrait photography reconnaissance surveillance camera + online photography AI portrait recognition technology" to build the number of passengers identify and plan the design of the system and elaborate on the system's functions, such as visitor statistics, hotspot analysis, travel route analysis, video tracking, and data display. The article applies the research results of rainfall erosion in mountain environment based on big data GIS to the research on the people flow planning of Leshan Giant Buddha, which promotes the rapid development of scenic spots.
      PubDate: 2022-06-20
       
  • Comparing measurement correction of echo sounder in shallow-water area

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      Abstract: Abstract Error correction of echo sounder is very important for the accurate measurement of water-depth in shallow-water area. There are some issues in measuring the water depth, they are accuracy, resolution, inaccurate beamwidth of transmit and can be solved by the existing methodologies. In this article, comparing measurement is an efficient method for error correction of echo sounder. The most commonly used comparing methods are sounding poles, plumb-lines and thermohaline methods. However, the sounding poles method can only measure the water-depth less than 5 m as its limited by the length of measuring poles; the plumb-lines method cannot guarantee the accuracy of water-depth value as its difficult to determine whether the plumb-line falls vertically onto the water floor or into the underwater sediment; the thermohaline methods is time-consuming as its need lots of the temperature and salinity information for the correction of sound velocity. Based on these knowledge and experience, we put forward a comparator for comparing measurement of water-depth, which could adjust sound velocity of echo sounder for precisely measure actual water-depth of the survey area without complicated thermohaline correction work. The comparator method has practical implications for the quick error correction of echo sounder survey in shallow-water area. The experimental results predict that the mistakes are easily caused by the complicated correction work which can be avoided and establishes that the water-depth measurement is more efficient.
      PubDate: 2022-06-18
       
  • Hybrid support vector regression models with algorithm of innovative
           gunner for the simulation of groundwater level

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      Abstract: Groundwater level time series is a prime factor for variety of groundwater studies and is of great significance for the management of groundwater resources. Quality control of groundwater level observations is essential for hydrological applications. Artificial Intelligent techniques deal with highly nonlinear interactions and complex hydrological process and hence can be a better alternative for groundwater level prediction. In this research, the performances of Support Vector Regression (SVR) and SVR ensembled with metaheuristic Algorithm of Innovative Gunner (AIG) models were evaluated in simulating the monthly groundwater level of the Shabestar plain during the period 2001–2019. The 80 and 20% of the monthly dataset were used for training and testing the developed models. The efficiency of the developed models was compared using different statistical indices including correlation coefficient (R), Nash–Sutcliffe Efficiency (NSE) coefficient, Root-Mean-Square Error (RMSE), RMSE-observation standard deviation ratio (RSR) and Legates & McCabe’s Index (ELM). The results showed that the hybrid model (SVR-AIG) generates accurate estimations in combinatory patterns. Moreover, among the SVR and SVR-AIG models with different input scenarios, the SVR-AIG model showed best results for scenario 6 (M6) in both the training stage (R = 0.995, NSE = 0.99, RMSE = 0.151 (m), RSR = 0.096 and ELM = 0.916) and the testing stage (R = 0.941, NSE = 0.879, RMSE = 0.146 (m), RSR = 0.346 and ELM = 0.660). The hybrid SVR-AIG model is shown to be more accurate and robust than the SVR models, providing a novel capability to capture unknown time-varying dependencies. In general, the results of the proposed model are promising and it provides a reliable insight for water resources planners in conducting future research of groundwater resources. Graphical abstract
      PubDate: 2022-06-18
       
  • Dynamic characteristics of fault-controlled earth fissure sites in
           Jingyang County, Weihe Basin, China

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      Abstract: Abstract Jingyang County is located in the northern part of the Weihe Basin, which is an important part of the Fen-Wei graben system. Nearly half of earth fissures located in northern Jingyang County have East–West orientations that match the orientation of the nearby Kouzhen–Guanshan active fault. In order to analyze the superficial structures and dynamic characteristics of earth fissures, we conducted trenching and microtremor testing at two earth fissure sites that are largely controlled by activity along the Kouzhen–Guanshan fault. Our main results are as follows: (1) The presence of earth fissures has little to no effect on the predominant frequencies and natural periods that excite the maximum response acceleration during a microtremor. (2) Three specific amplitudes, including the Fourier amplitude at the predominant frequency, the maximum response acceleration, and the Arias intensity, are smaller at site 1 than they are at site 2. (3) Amplification occurs at both earth fissure sites. These three amplitudes have high values at distances less than ~ 6 m from the crack, attenuated values at distances of ~ 6–20 m from the crack, and low stable values at distances greater than ~ 20 m away from the crack. (4) We calculated the amplification factors for these two earth fissure sites and identified regions that experience varying degrees of this amplification. Based on our analysis, we recommend seismic fortifications for buildings in areas affected by these earth fissure sites.
      PubDate: 2022-06-18
       
  • L0-norm gravity inversion with new depth weighting function and bound
           constraints

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      Abstract: Abstract Delineating geologic features through the inversion of gravity data is an important goal in a range of geophysical investigations. However, it is a well-known fact that gravity data inversion has no inherent depth resolution. In order to overcome this limitation, different depth weighting approaches have been developed. With the purpose of finding an effective and a more convenient way to precisely estimate the depth of the anomalous body, we have tested the most popularly used depth weighting function. Our test showed that it does not properly counteract the decay of the gravity kernel and is strongly dependent on the exponent term. To resolve this, we have proposed a new depth weighting function that can easily be automated and counteracts the depth dependent natural decay of the gravity kernel more appropriately. Through this, the challenges in trial and error selection of the exponent of the old depth weighting function are avoided. The new depth weighing function was then implemented to improve a gravity inversion method, which produces compact and sharp images of the subsurface density distributions. The inversion method is obtained from the minimization of an objective function, which consists of data misfit and L0-norm stabilizing functions, by iteratively reweighted least-squares algorithm. To evaluate the practicality and resolution capability of the method, it was tested using a number of synthetic data sets from geometrically complex models and real data. The inversion results proved the effectiveness of our method in producing geologically acceptable multiple localized bodies with improved depth resolution. This in turn illustrates the applicability of the newly proposed function in the inversion of gravity data.
      PubDate: 2022-06-17
       
  • Improved fuzzy ant colony optimization to recommend cultivation in Tamil
           Nadu, India

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      Abstract: Abstract The crop recommendation of the rural farmers is important in our country; this research work aim is to increase the profit of the farmers by suggesting the suitable crop recommendation in towns and villages of Tamil Nadu. The agriculture sectors are widespread that requires thorough preparation and judgement. Artificial intelligence and machine learning algorithms are extended practically in every major area, including agriculture. Data on Tamil Nadu’s agricultural production were obtained through an open data platform and also from the manual of the Economic and Statistical Department of Tamil Nadu which is published each year. Their main objective was to collect knowledge through data that could be applied to obtain useful predictable results. Hence, to achieve these objectives, fuzzy ant clustering with detection of cluster similarity and cluster combination along with association rule mining is used to provide crop recommendation to farmers depending on the current season and soil type. By evaluating the previous year’s agriculture production record, analyse the yield produced in the previous year by various crops and seasons. An algorithm using fuzzy ant clustering with detecting and combining the overlapping nodes to reduce the redundancy and improve the quality of the clusters was developed. The evaluation results show that the fuzzy ant colony with overlapping cluster detection algorithm provides good RS of the crops as the error rate is decreased to 8 percentage and accuracy is increased to 91.9 percentage when compared with results obtained from crop recommendation system with ant colony clustering and association rule mining.
      PubDate: 2022-06-17
       
  • Subsurface profiling of a region in Jamshedpur city using active MASW: a
           case study

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      Abstract: Abstract This paper deals specifically with the active MASW method, which was applied for subsurface exploration of a region in Jamshedpur city, India, to study the various lithological and stiffness properties of subsurface materials. The study investigates the impact of data acquisition parameters on obtaining a high-resolution dispersion image, based on the ongoing MASW survey. A linear array of 24 numbers of 4.5 Hz geophones was used to collect raw wavefield traces generated by a 10 kg sledgehammer. Wavefields were regulated using a range of sampling frequencies (500 Hz, 1000 Hz, 2000 Hz, 4000 Hz, and 8000 Hz), as well as offset distances (1, 2 m, 4 m, 6 m, 8 m, 10 m, and 12 m) and inter receiver spacing (1 m and 2 m). Based on the results, the best data collection parameters for a high signal-to-noise ratio were determined to be: 1000 Hz sampling frequency, 8 m offset distance, and 1 m inter receiver spacing, resulting in a sufficient resolution dispersion image. Moreover, 1D and 2D shear-wave velocity profiles for the chosen site were derived. The stiff silty clay soil (up to a depth of 5 m) and dense to very dense weathered mica schist was found (at variable locations and depths from 8 to 30 m or beyond). The average Vs30 is 402 m/s, and the site is classed as Type C as per NEHRP Site Classification. The shear-wave velocity profiles show a high level of agreement with borehole data, demonstrating the effectiveness of the non-invasive technology for sub-surface investigation.
      PubDate: 2022-06-16
       
  • Method for wavelet denoising of multi-angle prestack seismic data

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      Abstract: Abstract When processing seismic survey data, it is desirable to reduce random noise without lowering the seismic resolution or lessening the number of seismic stacking folds. To this end, here we introduce a wavelet denoising of multi-angle (WDMA) method for prestack seismic data. Unlike the traditional method of directly stacking multi-angle gathers, our proposed WDMA method does not rely on the simple averaging of multi-angle prestack data, and when denoising the final result does not require averaging of direct stacking. Instead, WDMA first decomposes single-angle gathers through wavelet decomposition to determine local noise and obtain a detailed estimation, following which the average weighting coefficient is calculated and the data are reconstructed. Based on the above steps, we mainly studied the wavelet decomposition, optimization of the coefficient weight and weight mode, and the number of angle gathers. We used synthetic prestack angle gathers and field seismic data to validate the effectiveness of the proposed method. Even when the ratio of maximum noise amplitude to maximum effective signal amplitude was 60%, our proposed method could still achieve a good denoising effect by conducting WDMA two or more times. Compared with soft threshold wavelet denoising or the traditional stacking method, our results demonstrate that the proposed WDMA method can obtain high-quality seismic data using fewer frames of angle gathers and can simultaneously perform denoising and stacking.
      PubDate: 2022-06-16
       
  • Prediction of the groundwater quality index through machine learning in
           Western Middle Cheliff plain in North Algeria

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      Abstract: Abstract Water quality monitoring and assessment has been one of the world’s major concerns in recent decades. This study examines the performance of three approaches based on the integration of machine learning and feature extraction techniques to improve water quality prediction in the Western Middle Cheliff plain in Algeria during 2014–2018. The most dominant Water Quality Index parameters that were extracted by neuro-sensitivity analysis (NSA) and principal component analysis (PCA) techniques were used in the multilayer perceptron neural network, support vector regression (SVR) and decision tree regression models. Various combinations of input data were studied and evaluated in terms of prediction performance, using statistical criteria and graphical comparisons. According to the results, the MLPNN1 model with eight input parameters gave the highest performance for both training and validation phases (R = 0.98/0.95, NSE = 0.96/0.88, RMSE = 11.20/15.03, MAE = 7.89/10.22 and GA = 1.34) when compared with the multiple linear regression, TDR and SVR models. Generally, the prediction performance of models integrated with NSA approaches is significantly improved and outperforms models coupled with the PCA dimensionality reduction method.
      PubDate: 2022-06-14
       
  • Elastic full waveform inversion in VTI media using logging data
           constraints and gradient precondition

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      Abstract: Abstract Elastic full waveform inversion (EFWI) in VTI media using velocity model-based parameterization (PARM-VTIEFWI) can improve the sensitivity of anisotropic parameters, but there are still the problems of gradient’s interference and Non-unique. Research has shown that logging data can constrain the Non-unique of FWI. Therefore, in this paper, we use the logging data as a constraint to limit the Non-unique of the PARM-VTIEFWI. We derive the objective function and gradient equation for the PARM-VTIEFWI based on the constraint of logging information. In addition, to reduce the interference between the gradients of parameters in VTI media, we incorporate a pseudo-Hessian matrix to precondition the gradients and derive a gradient preconditioning formula based on the pseudo-Hessian matrix in this paper. In summary, we propose a new PARM-VTIEFWI method based on logging information constraint and gradient precondition, which reduces the interference between the parameter gradients and constrains the Non-unique of the inversion. The correctness and validity of the method were demonstrated by examples.
      PubDate: 2022-06-11
       
  • Geological mapping using extreme gradient boosting and the deep neural
           networks: application to silet area, central Hoggar, Algeria

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      Abstract: Abstract Nowadays, machine learning algorithms are considered a powerful tool for analyzing big and complex data due to their ability to deliver accurate and fast results. The main objective of the present study is to prove the effectiveness of the extreme gradient boosting (XGBoost) method as well as employed data types in the Saharan region mapping. To reveal the potential of the XGBoost, we conducted two experiments. The first was to use different combinations of: airborne gamma-ray spectrometry data, airborne magnetic data, Landsat 8 data and digital elevation model. The objective is to train 9 XGBoost models in order to determine each data type sensitivity in capturing the lithological rock classes. The second experiment was to compare the XGBoost to deep neural networks (DNN) to display its potential against other machine learning algorithms. Compared to the existing geological map, the application of XGBoost reveals a great potential for geological mapping as it was able to achieve a correlation score of (78%) where igneous and metamorphic rocks are easily identified compared to sedimentary rocks. In addition, using different data combinations reveals airborne magnetic data utility to discriminate some lithological units. It also reveals the potential of the apparent density, derived from airborne magnetic data, to improve the algorithm’s accuracy up to 20%. Furthermore, the second experiment in this study indicates that the XGBoost is a better choice for the geological mapping task compared to the DNN. The obtained predicted map shows that the XGBoost method provides an efficient tool to update existing geological maps and to edit new geological maps in the region with well outcropped rocks.
      PubDate: 2022-06-11
       
  • Detailed LNAPL plume mapping using electrical resistivity tomography
           inside an industrial building

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      Abstract: Abstract Detailed characterization of light non-aqueous phase liquid contaminant plume is essential for mapping remediation scope effectively. Electrical resistivity tomography is increasingly popular for delineating the geometry of subsurface contamination. In this study, the low resolution and limited penetration depth drawbacks from traditional survey arrays were resolved with optimized arrays generated using ‘Compare R’ method. Numerical example first proved its efficiency in locating contaminated areas under restricted survey space. The presence of ethylbenzene inside a manufacturing building has shown high resistive anomaly, and it has already leaked into deep locations from resistivity results. However, the transport of ethylbenzene was limited due to surrounding low permeable clay layer. The boundaries of the contaminant plume were further quantified using interpolated 3D resistivity results, which help to refine the remediation scope. The reconstructed scope was only 1/3 of the one from traditional borehole data interpolation, resulting in a more precise remediation cost estimate. In the end, we conclude the advantage of enhanced resolution and refined cost of remediation strategy by applying optimized array in contaminated site survey.
      PubDate: 2022-06-10
       
  • Precipitable water vapour (PWV) variations as observed using GPS during
           2021 forest fires in Southwestern Turkey

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      Abstract: Abstract Devastating forest fires occurred in the southwestern part of Turkey in summer 2021. Besides the fire itself, air quality standards also drastically dropped. Mugla and Antalya were affected the most by the forest fires. Also, precipitable water vapour (PWV) values show different behaviours from the climate typical. Precipitation, temperature, and pressure parameters were investigated, and no anomalies were found. Particulate matters and other pollutants resulting from forest fires were the remaining indicators behind the PWV fluctuations. The relation between PWV and particulate matters from 2.5 to 10 microns (PM10) was investigated at nine Global Positioning System (GPS) stations located at Antalya and Mugla using 15 air quality monitoring stations. The PWV analysis results show a sudden increase in PWV during the forest fires at most GPS stations. After the fires, PWV values decreased over time. However, PWV values were still higher than before the fires. Furthermore, the mean value, the maximum values, and the standard deviation of PM10 during and after the forest fires were investigated. Results show that the PM10 values were in line with the forest fires effects and correlated with the distance between air quality monitoring stations and the forest fire. Most air quality monitoring stations have higher maximum and average PM10 values during the forest fires than after the forest fires. The correlation coefficient between the two datasets shows a high correlation during the forest fires at all the GPS stations. Therefore, results indicate that, as the PM10 concentration increases, PWV values also increase.
      PubDate: 2022-06-09
       
  • Design and application of an ontology to identify crop areas and improve
           land use

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      Abstract: Abstract Agricultural development in Colombia has been characterized by being carried out in a local and traditional way, where important basic aspects are not always considered for the best performance of crops. These characteristics are presented in official government documentation distinguished by its heterogeneity. Ontologies in the domain of agriculture allow the organization and structuring of information to represent knowledge in such a way that the homogeneity of agricultural data dispersed in different types of documents such as manuals, weather reports, and official technical sheets is achieved. In accordance with the above, this work presents the development of an ontology in the agricultural domain to facilitate the identification of cultivation areas and improve land use, relating the basic concepts for an effective crop development according to the specifications and recommendations proposed in Colombian government documentation, using the Methontology methodology. This is achieved with the application of descriptive logic that, based on rules, generates inferences to identify the cultivation options and cultivable areas that present the highest performance. The interaction and use of the ontological model and inference rules are done through a web application made with Python and Flask. The precision of the model is evaluated using historical data of crops produced, making a comparison between the real data and the results obtained through the ontological model, obtaining as a result 80% reliability.
      PubDate: 2022-06-08
       
  • Analysis of spatial variation of temperature trends in the semiarid
           Euphrates basin using statistical approaches

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      Abstract: Abstract This study analyzes the spatial and temporal distribution of trends on monthly, seasonal, and annual mean temperatures (1967–2017) at 22 stations in the Euphrates Basin of Turkey. The recently proposed innovative trend analysis (ITA) and the nonparametric Mann–Kendall (MK) and Spearman’s rho (SR) test at 5% and 1% significance levels were applied to examine the temporal trends of temperatures. Before using the nonparametric trend analysis, the serial correlation of the temperature data was removed with the pre-whitening (PW) method. Then, MK-Z values were mapped in ArcGIS environment using the Empirical Bayesian Kriging (EBK) method to reveal the spatial variation of temperature trends. As a result, according to the ITA method, increasing temperature trends at 1% significance level dominate almost all periods. Based on the MK and SR tests, it was identified that increase trends were dominant at 1% and 5% significance levels in February, March, April, July, August, Spring, Summer, and Annual periods. According to the spatial temperature trend maps, significant increase trends occupy an important place in most of the basin in February, March, April, June, July, August, Spring, Summer, Winter, and Annual periods. The study results provide important information to water resources managers and decision-makers about the regions at significant risk in climate change in the Euphrates Basin.
      PubDate: 2022-06-06
       
  • Energy characteristics and micro-cracking behaviors of deep slate rock
           under triaxial loadings

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      Abstract: Abstract Sichuan–Tibet railway tunnels are generally long and deep, and some of them pass through layered slate, which is prone to failure under high in situ stress. Insight into the mechanical behaviors of deep slate under different stress environments is critical to the safety of engineering practices in this area. To this end, we studied the energy characteristics and micro-cracking behaviors of slate samples under different triaxial loadings. The results showed that the confining pressure increased the strength, elastic modulus, Poisson’s ratio and crack characteristic stresses of the studied slate. As the confining pressure increased, the storage of elastic strain energy during the prepeak stress stage increased, and its release during the postpeak stress stage was inhibited. Additionally, we obtained the slate failure precursors by analyzing the acoustic emission (AE) evolution characteristics, i.e., “a sudden increase in AE metrics, followed by a quiet period, and then a sudden increase again” in terms of the AE count rate and AE energy rate after obvious expansion of the sample. Then, we further observed that with an increase in confining pressure, a gradual transition of the failure pattern from compressive shear to tensile shear occurred. Finally, we discussed the influence mechanisms of confining pressure on the slate failure behaviors and concluded that the change in the effective shear stress along the foliation planes played an important role in the failure mode transition.
      PubDate: 2022-06-06
       
 
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