Subjects -> ENVIRONMENTAL STUDIES (Total: 913 journals)
    - ENVIRONMENTAL STUDIES (810 journals)
    - POLLUTION (31 journals)
    - TOXICOLOGY AND ENVIRONMENTAL SAFETY (54 journals)
    - WASTE MANAGEMENT (18 journals)

ENVIRONMENTAL STUDIES (810 journals)            First | 1 2 3 4 5     

Showing 601 - 378 of 378 Journals sorted alphabetically
Monteverdia     Open Access   (Followers: 1)
Multequina     Open Access  
Mutation Research/Fundamental and Molecular Mechanisms of Mutagenesis     Hybrid Journal   (Followers: 5)
Mutation Research/Genetic Toxicology and Environmental Mutagenesis     Hybrid Journal   (Followers: 8)
Nano Select     Open Access  
Nanotechnology for Environmental Engineering     Hybrid Journal  
Nativa     Open Access  
Natur und Recht     Hybrid Journal   (Followers: 6)
Natural Areas Journal     Full-text available via subscription   (Followers: 10)
Natural Hazards     Hybrid Journal   (Followers: 54)
Natural Resources     Open Access  
Natural Resources & Engineering     Hybrid Journal  
Natural Resources and Environmental Issues     Open Access   (Followers: 2)
Nature and Culture     Full-text available via subscription   (Followers: 11)
Nature-Based Solutions     Open Access  
Nepal Journal of Environmental Science     Open Access   (Followers: 10)
NeuroToxicology     Hybrid Journal   (Followers: 1)
Neurotoxicology and Teratology     Hybrid Journal   (Followers: 3)
NEW SOLUTIONS: A Journal of Environmental and Occupational Health Policy     Full-text available via subscription   (Followers: 2)
New Zealand Journal of Environmental Law     Full-text available via subscription   (Followers: 4)
NJAS : Wageningen Journal of Life Sciences     Hybrid Journal  
Novos Cadernos NAEA     Open Access  
npj Urban Sustainability     Open Access  
Observatorio Medioambiental     Open Access  
Occupational and Environmental Medicine     Hybrid Journal   (Followers: 18)
Ochrona Srodowiska i Zasobów Naturalnych : Environmental Protection and Natural Resources     Open Access  
Oecologia     Hybrid Journal   (Followers: 54)
Oikos     Hybrid Journal   (Followers: 55)
One Earth     Hybrid Journal   (Followers: 2)
One Ecosystem     Open Access  
Open Environmental Research Journal     Open Access   (Followers: 1)
Open Journal of Ecology     Open Access   (Followers: 8)
Open Journal of Marine Science     Open Access   (Followers: 6)
Open Journal of Modern Hydrology     Open Access   (Followers: 5)
Our Nature     Open Access   (Followers: 1)
Pace Environmental Law Review     Open Access   (Followers: 4)
Packaging, Transport, Storage & Security of Radioactive Material     Hybrid Journal   (Followers: 2)
Palaeobiodiversity and Palaeoenvironments     Hybrid Journal   (Followers: 3)
Particle and Fibre Toxicology     Open Access   (Followers: 2)
Pastos y Forrajes     Open Access  
Peer Community Journal     Open Access   (Followers: 12)
Perspectives in Ecology and Conservation     Full-text available via subscription   (Followers: 11)
Pharmacology & Therapeutics     Hybrid Journal   (Followers: 3)
Pharmacology Biochemistry and Behavior     Hybrid Journal   (Followers: 2)
Physio-Géo     Open Access   (Followers: 1)
Pittsburgh Journal of Environmental and Public Health Law     Open Access  
Planet     Open Access   (Followers: 4)
Planeta Amazônia : Revista Internacional de Direito Ambiental e Políticas Públicas     Open Access  
Planning & Environmental Law: Issues and decisions that impact the built and natural environments     Hybrid Journal   (Followers: 7)
Plant Ecology & Diversity     Partially Free   (Followers: 13)
Plant Knowledge Journal     Open Access   (Followers: 1)
Plant, Cell & Environment     Hybrid Journal   (Followers: 9)
Plant-Environment Interactions     Open Access  
Plants, People, Planet     Open Access   (Followers: 1)
Polar Journal     Hybrid Journal   (Followers: 2)
Political Studies     Hybrid Journal   (Followers: 43)
Political Studies Review     Hybrid Journal   (Followers: 18)
Population and Environment     Hybrid Journal   (Followers: 6)
Population Ecology     Hybrid Journal   (Followers: 12)
Practice Periodical of Hazardous, Toxic, and Radioactive Waste Management     Full-text available via subscription  
Presence: Virtual and Augmented Reality     Hybrid Journal   (Followers: 2)
Proceedings of the Institution of Civil Engineers - Waste and Resource Management     Hybrid Journal   (Followers: 1)
Proceedings of the Institution of Mechanical Engineers Part M: Journal of Engineering for the Maritime Environment     Hybrid Journal   (Followers: 3)
Proceedings of the International Academy of Ecology and Environmental Sciences     Open Access   (Followers: 1)
Proceedings of the Vertebrate Pest Conference     Open Access  
Process Integration and Optimization for Sustainability     Hybrid Journal  
Process Safety and Environmental Protection     Hybrid Journal   (Followers: 4)
Producción + Limpia     Open Access  
Progress in Disaster Science     Open Access   (Followers: 1)
Progress in Industrial Ecology, An International Journal     Hybrid Journal   (Followers: 2)
Projets de Paysage     Open Access  
Psychological Assessment     Full-text available via subscription   (Followers: 12)
Public Money & Management     Hybrid Journal   (Followers: 7)
Quaternary     Open Access  
Recursos Rurais     Open Access  
REDER : Revista de Estudios Latinoamericanos sobre Reducción del Riesgo de Desastres     Open Access  
Regional Environmental Change     Open Access   (Followers: 2)
Regional Sustainability     Open Access  
Rekayasa     Open Access  
Remediation Journal     Hybrid Journal   (Followers: 8)
Remote Sensing Applications : Society and Environment     Full-text available via subscription   (Followers: 10)
Remote Sensing Letters     Hybrid Journal   (Followers: 46)
Rendiconti Lincei     Hybrid Journal  
Renewable Energy and Environmental Sustainability     Open Access   (Followers: 2)
Renewable Energy Focus     Full-text available via subscription   (Followers: 7)
Research & Reviews : Journal of Ecology     Full-text available via subscription   (Followers: 3)
Research and Practice for Persons with Severe Disabilities     Full-text available via subscription   (Followers: 3)
Research Journal of Environmental Sciences     Open Access   (Followers: 2)
Research Journal of Environmental Toxicology     Open Access   (Followers: 2)
Resources     Open Access  
Resources and Environment     Open Access  
Resources, Conservation & Recycling     Hybrid Journal   (Followers: 20)
Resources, Conservation & Recycling : X     Open Access   (Followers: 1)
Resources, Conservation & Recycling Advances     Open Access   (Followers: 1)
Rethinking Ecology     Open Access  
Reuse/Recycle Newsletter     Hybrid Journal  
Review of Agricultural, Food and Environmental Studies     Hybrid Journal  
Review of Environmental Economics and Policy     Hybrid Journal   (Followers: 11)
Revista AIDIS de Ingeniería y Ciencias Ambientales. Investigación, desarrollo y práctica     Open Access  
Revista Ambivalências     Open Access  
Revista Brasileira de Ciências Ambientais     Open Access   (Followers: 1)
Revista Brasileira de Meio Ambiente     Open Access  
Revista Chapingo. Serie Ciencias Forestales y del Ambiente     Open Access  
Revista Ciência, Tecnologia & Ambiente     Open Access  
Revista de Ciencias Ambientales     Open Access  
Revista de Direito Ambiental e Socioambientalismo     Open Access  
Revista de Direito e Sustentabilidade     Open Access  
Revista de Gestão Ambiental e Sustentabilidade - GeAS     Open Access  
Revista de Investigación en Agroproducción Sustentable     Open Access  
Revista de Salud Ambiental     Open Access  
Revista ECOVIDA     Open Access   (Followers: 4)
Revista Eletrônica de Gestão e Tecnologias Ambientais     Open Access  
Revista Geama     Open Access  
Revista Hábitat Sustenable     Open Access  
Revista Iberoamericana Ambiente & Sustentabilidad     Open Access  
Revista Kawsaypacha: Sociedad y Medio Ambiente     Open Access  
Revista Laborativa     Open Access  
Revista Meio Ambiente e Sustentabilidade     Open Access  
Revista Mundi Meio Ambiente e Agrárias     Open Access  
Revista Verde de Agroecologia e Desenvolvimento Sustentável     Open Access   (Followers: 2)
Rivista di Studi sulla Sostenibilità     Full-text available via subscription   (Followers: 1)
RUDN Journal of Ecology and Life Safety     Open Access  
Russian Journal of Ecology     Hybrid Journal   (Followers: 1)
Safety Science     Hybrid Journal   (Followers: 28)
San Francisco Estuary and Watershed Science     Open Access  
SAR and QSAR in Environmental Research     Hybrid Journal   (Followers: 1)
Saúde e Meio Ambiente : Revista Interdisciplinar     Open Access  
Scandinavian Journal of Work, Environment & Health     Partially Free   (Followers: 13)
Science of The Total Environment     Hybrid Journal   (Followers: 38)
Sciences Eaux & Territoires : la Revue du Cemagref     Open Access  
Smart Grid and Renewable Energy     Open Access   (Followers: 9)
Social and Environmental Accountability Journal     Hybrid Journal   (Followers: 3)
Sociedad y Ambiente     Open Access  
Soil and Sediment Contamination: An International Journal     Hybrid Journal   (Followers: 3)
Soil and Tillage Research     Hybrid Journal   (Followers: 9)
South Australian Geographical Journal     Open Access  
South Pacific Journal of Natural and Applied Sciences     Hybrid Journal  
Southern African Journal of Environmental Education     Open Access  
Southern Forests : a Journal of Forest Science     Hybrid Journal   (Followers: 3)
Sriwijaya Journal of Environment     Open Access  
Stochastic Environmental Research and Risk Assessment     Hybrid Journal   (Followers: 4)
Strategic Planning for Energy and the Environment     Hybrid Journal   (Followers: 4)
Studies in Conservation     Hybrid Journal   (Followers: 16)
Sustainability     Open Access   (Followers: 22)
Sustainability Agri Food and Environmental Research     Open Access   (Followers: 4)
Sustainability in Environment     Open Access   (Followers: 2)
Sustainable and Resilient Infrastructure     Hybrid Journal  
Sustainable Cities and Society     Hybrid Journal   (Followers: 22)
Sustainable Development     Hybrid Journal   (Followers: 14)
Sustainable Development Law & Policy     Open Access   (Followers: 12)
Sustainable Development Strategy and Practise     Open Access   (Followers: 4)
Sustainable Horizons     Full-text available via subscription   (Followers: 13)
Sustainable Technology and Entrepreneurship     Full-text available via subscription   (Followers: 13)
Sustinere : Journal of Environment and Sustainability     Open Access  
TECHNE - Journal of Technology for Architecture and Environment     Open Access   (Followers: 11)
Tecnogestión     Open Access  
Territorio della Ricerca su Insediamenti e Ambiente. Rivista internazionale di cultura urbanistica     Open Access  
The Historic Environment : Policy & Practice     Hybrid Journal   (Followers: 4)
The International Journal on Media Management     Hybrid Journal   (Followers: 7)
The Ring     Open Access  
Theoretical Ecology     Hybrid Journal   (Followers: 15)
Toxicologic Pathology     Hybrid Journal   (Followers: 18)
Toxicological & Environmental Chemistry     Hybrid Journal   (Followers: 2)
Toxicological Sciences     Hybrid Journal   (Followers: 11)
Toxicology     Hybrid Journal   (Followers: 18)
Toxicology and Applied Pharmacology     Hybrid Journal   (Followers: 24)
Toxicology and Industrial Health     Hybrid Journal   (Followers: 6)
Toxicology in Vitro     Hybrid Journal   (Followers: 11)
Toxicology Letters     Hybrid Journal   (Followers: 15)
Toxicology Mechanisms and Methods     Hybrid Journal   (Followers: 7)
Toxicon     Hybrid Journal   (Followers: 5)
Toxicon : X     Open Access  
Toxin Reviews     Hybrid Journal  
Transactions on Environment and Electrical Engineering     Open Access  
Transportation Research Part D: Transport and Environment     Hybrid Journal   (Followers: 28)
Transportation Safety and Environment     Open Access   (Followers: 1)
Transylvanian Review of Systematical and Ecological Research     Open Access  
Trends in Ecology & Evolution     Full-text available via subscription   (Followers: 255)
Trends in Environmental Analytical Chemistry     Hybrid Journal   (Followers: 3)
Trends in Pharmacological Sciences     Full-text available via subscription   (Followers: 19)
Tropicultura     Open Access  
Turkish Journal of Engineering and Environmental Sciences     Open Access   (Followers: 1)
UCLA Journal of Environmental Law and Policy     Open Access   (Followers: 1)
UD y la Geomática     Open Access  
Universidad y Ciencia     Open Access  
Universidad y Ciencia     Open Access  
UNM Environmental Journals     Open Access  
Urban Studies     Hybrid Journal   (Followers: 70)
Urban Transformations     Open Access  
Veredas do Direito : Direito Ambiental e Desenvolvimento Sustentável     Open Access  
VertigO - la revue électronique en sciences de l’environnement     Open Access   (Followers: 1)
Villanova Environmental Law Journal     Open Access  
Waste Management & Research     Hybrid Journal   (Followers: 6)
Water Conservation Science and Engineering     Hybrid Journal  
Water Environment Research     Full-text available via subscription   (Followers: 43)
Water International     Hybrid Journal   (Followers: 19)
Water Security     Hybrid Journal   (Followers: 6)
Water, Air, & Soil Pollution : Focus     Hybrid Journal   (Followers: 7)
Water, Air, & Soil Pollution     Open Access   (Followers: 21)
Weather and Forecasting     Hybrid Journal   (Followers: 43)

  First | 1 2 3 4 5     

Similar Journals
Journal Cover
Natural Hazards
Journal Prestige (SJR): 0.767
Citation Impact (citeScore): 2
Number of Followers: 54  
 
  Hybrid Journal Hybrid journal (It can contain Open Access articles)
ISSN (Print) 1573-0840 - ISSN (Online) 0921-030X
Published by Springer-Verlag Homepage  [2469 journals]
  • Flood hazard assessment and mitigation using a multi-criteria approach in
           the Sinai Peninsula, Egypt

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      Abstract: Abstract The Sinai Peninsula in Egypt is highly vulnerable to flash flooding due to its huge variation in relief and erratic rainfall. However, assessing flood risk in the Sinai is a difficult challenge due to the almost complete lack of accurate flood observations and relevant drainage basin characteristics. Therefore, this study evaluates the flood hazard in the Sinai Peninsula through multi-criteria analysis of morphometric characteristics of the drainage patterns, which can be easily inferred from readily available remote sensing data and geographical analysis tools. From a digital elevation model with a spatial resolution of 30 m, 112 catchments are identified, each characterized by twenty morphometric parameters, grouped into three categories: geometry, drainage network and relief. The importance of the morphometric parameters on flooding is assessed with the analytical hierarchy process. Normalized weights for each parameter and category, obtained from pairwise comparison matrices, allow to derive a flood sensitivity index and create a map showing different degrees of flash flood hazard. The results show that basins characterized as highly sensitive to flooding generally have high values for all three morphometric parameter categories: geometry, flow network and relief. About 17% of the Sinai appears to be very highly sensitive to flooding, 39% highly sensitive and 34% moderately sensitive. The very highly flood-prone basins are all located in the southern Sinai mountain ranges, while the highly flood-prone basins are mainly found along the outer edges of the southern Sinai mountain ranges and in some sub-basins of wadi El-Aris. Comparison with case studies reported in other publications and the media shows a strong agreement, indicating that the proposed methodology is reliable and accurate. Based on the obtained flash flood sensitivity map, management plans are proposed to reduce the risk of flash flooding and to protect major cities and roads by installing side channels and culverts to collect and drain the excess water from areas most affected prone to flooding.
      PubDate: 2022-08-13
       
  • Study of the impact of ash fallout from the Icelandic volcano Eyjafjöll
           (2010) on vegetation using MODIS data

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      Abstract: Abstract Volcanic ash fallout is a recurrent environmental disturbance of flora ash deposits from the Icelandic volcano Eyjafjöll (2010) over large areas are responsible for several impacts on ecological processes, agricultural production, and human health in Western Europe. This study assessed the ash fall effects from the subject volcano on the surrounding flora as well as vegetative recovery at two different sites (Scotland and southern Sweden). For this purpose, we analyzed Normalized Difference Vegetation Index (NDVI), Leaf Area Index (LAI), and Fraction of Photosynthetically Active Radiation absorbed by Plants (FPAR) data provided by the Moderate Resolution Imaging Spectroradiometer (MODIS). The cited biophysical variables were most strongly influenced by ash cloud fallout, with the lowest maxima recorded for both sites during the 2010 eruption year. To confirm this impact, a statistical study with climate indicators was performed. The results showed a significant correlation between LAI and precipitation (R2 = 0.63, p-value = 0.0022) at site 1 (Scotland), while a weak non-significant correlation (R2 = 0.2248, p-value > 0.5) was observed at site 2. However, climatic data from both sites showed low correlations (R2 < 50%) with NDVI vegetation indicator. Despite the heavy rainfall and heat recorded during this period, our statistical results show us that ash cloud fallout affects vegetative development.
      PubDate: 2022-08-13
       
  • A pilot study for climate risk assessment in agriculture: a climate-based
           index for cherry trees

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      Abstract: Abstract Cherry trees are one of Chile’s most important specialty crop activities. Its commercial orchards have an extensive spatial distribution between the 31° S and 48° S, spreading from semiarid to tundra climates, but the trees appear primarily in the Mediterranean climate. Different extreme weather events, such as frosts, precipitation, and high temperatures, affect this crop at different phenological stages, especially in bloom, ripening, and floral differentiation. Based on a high-resolution climatic-gridded dataset of daily temperature and precipitation data, we defined an integrated risk index (RI) representing the frequency of occurrence of the events throughout the plant development period and considering each type of risk affecting each concrete phenological stage. High RI values indicate high climatic risk. The RI follows a meridional pattern influenced by elevation, with higher values in the highest elevations between 36° S and 40° S, sensitive to the simultaneous occurrence of frosts and precipitation events. The northern coast exhibited the lowest risk values, while a general gradient from low values in coastal areas to higher ones in inland elevated zones revealed an altitudinal pattern. Low-risk areas have a sparse distribution of crops, which can be explained by several factors restricting cherry cultivation such as soil limitations, high slopes, lack of productive support infrastructure, and competition with other profitable forestry and agricultural activities in the north and forest production in the south. These results will help to improve climate impact assessments for production systems, which can be conducted by following an easy-to-understand tool.
      PubDate: 2022-08-13
       
  • Spatial effects of tourism development on economic resilience: an
           empirical study of Wenchuan earthquake based on dynamic spatial Durbin
           model

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      Abstract: Abstract This study highlights the importance of the effects of spatial tourism. Using panel data of 135 Wenchuan earthquake-affected counties from 2008 to 2018, this study employs the dynamic spatial Durbin model to examine the spatial effects of tourism development on post-disaster economic resilience and compares the differences in the tourism-growth nexus between severe disaster-affected counties and general disaster-affected counties. The empirical results show that tourism development contributes to economic resilience for general disaster-affected counties, which supports the tourism-led growth hypothesis, whereas there is an inverted U-shaped relationship for severely disaster-affected counties. Furthermore, the spatial spillover effects of tourism are insignificant. Plausible explanations for these results are discussed, and policy suggestions are provided.
      PubDate: 2022-08-13
       
  • Hotspot and trend analysis of forest fires and its relation to climatic
           factors in the western Himalayas

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      Abstract: Abstract Forest fire is one of the main issues of forest ecosystems around the world which has resulted in loss of biodiversity, forest degradation, soil erosion, and greenhouse gas emission. Ironically, the information on the forest fire regime and its pattern are still lacking in the Himalayan region. In this study, Moderate-Resolution Imaging Spectroradiometer active fire data products from 2001 to 2020 have been analysed for understanding the forest fire trends and its hotspots patterns during the active fire season (February to June). About 1347 average fire counts/year were recorded in six natural vegetations with the highest number of fires observed during the year 2012 (n = 3096) and minimum in 2011 (n = 210). Mann–Kendall trends analysis for the spatial and temporal pattern of fires indicated that there is a significant increase of forest fires towards higher elevation. Forest fire hotspot analysis using fire radiative power, fire frequency, and fire density showed that Uttarakhand is the most forest fire-prone state as compared to other north-western Himalayan states. It is also revealed that the May month has a higher number of fire counts and the evergreen needle forests have higher fire frequencies amongst the forest types. The forest fires were found to be more influenced by land surface temperature as compared to rainfall. The outcomes in this study on the temporal and spatial patterns for forest fire can be used for forest fire modelling.
      PubDate: 2022-08-13
       
  • Fuzzy flash flood risk and vulnerability assessment for the city of
           Sanandaj, Kurdistan Province, Iran

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      Abstract: Abstract Flash floods are the most hazardous types of floods, specifically in urban areas, since they impose huge financial damages and tremendous life loss. A flood risk map is required to identify the most vulnerable areas of a city for better management of this phenomenon. This research aims at achieving the risk and vulnerability maps of the city of Sanandaj, Kurdistan Province, Iran, using the geographical information system and fuzzy analytic hierarchy process through the assessment of several conditioning factors. The parameters slope, elevation, profile curvature, drainage density, land use, and distance from waterways were applied to prepare a hazard of flood map of Sanandaj city. Also, effective information layers, including slope, elevation, permeability index, distance from hospitals, distance from fire stations, distance from trails, distance from refueling centers, distance from roads, and distance from historical monuments, were considered for designing a flood vulnerability map. By multiplying the hazard of flood occurrence map and the flood vulnerability map, the flood risk map is obtained. The designed flash flood risk map demonstrated that about 30% of the city’s areas were classified as the most prone to flash floods. The results indicate that the flash flood is a serious concern in the city of Sanandaj, which should be considered by the city’s officials and authorities. The designed flood risk map can be used as an appropriate management tool for reducing or avoiding flood risks.
      PubDate: 2022-08-13
       
  • Peer effects in disaster preparedness: whether opinion leaders make a
           difference

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      Abstract: Abstract For people in earthquake-poverty areas, taking effective disaster preparedness is the key to reduce the loss of life and property. Based on the survey data of 327 residents in Wenchuan and Lushan County, Sichuan earthquake-stricken areas in 2019, the research analyzed the influence of peer effects on disaster preparedness and its mechanism by using instrumental variable method. The results show that: (1) the level of disaster preparedness of residents in the earthquake-stricken areas still needs to be improved, with the highest level of important items placement preparation and the lowest level of disaster insurance preparedness; (2) convergence effect is the key path for peer household to influence other families’ disaster preparedness; (3) the general public learn from opinion leader to take disaster Insurance preparedness, important items placement preparation and house reinforcement preparation. Based on this, it is recommended to select model residents who are well prepared for disaster preparedness. Establishing a platform for communication between opinion leaders and the general public as well as preventing inaction of opinion leaders. The findings of this study can provide a reference for improving disaster prevention and mitigation policies.
      PubDate: 2022-08-13
       
  • Hurricane risk perceptions and housing market responses: the pricing
           effects of risk-perception factors and hurricane characteristics

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      Abstract: Abstract This paper uses the difference-in-differences method to assess how home prices change in the periods after major hurricanes in Miami-Dade County and links these changes to risk-perception determinants that affect market participants’ determination of the prices they are willing to accept or pay. The empirical results shed light on the effects of how risk-perception determinants, affected by different heuristics, can be important contributors to housing market dynamics caused by the physical effects of extreme weather events. We find that perception determinants related to hurricane intensity have a larger effect on housing prices than those related to hurricane frequency. More recent and stronger hurricane experiences also have a strong association with decreased housing prices. We find no evidence of a perception factor leading to underestimating chronic risks. The findings identify important nuances related to the housing market and contribute to enhancing coastal housing market stability from uncertainty about extreme weather by suggesting sensitive post-disaster policy reactions based on the effects of risk-perception factors.
      PubDate: 2022-08-12
       
  • Better understanding of climate catastrophe insurance in China: issues and
           opportunities, international insights, and directions for development

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      Abstract: Abstract Climate catastrophe insurance is an important tool for advancing China's comprehensive disaster prevention and mitigation efforts and an important part of modernizing China's national emergency management capabilities. Based on the understanding of the definition of catastrophe and China's climate catastrophe, this paper systematically analyzes the main problems and challenges faced by China's climate catastrophe risk management and elaborates on the characteristics of the current opportunities for the development of China's climate catastrophe insurance. The paper then summarizes the development features of international catastrophe insurance systems, compares the features of the Shenzhen and Ningbo pilots of catastrophe insurance in China, and proposes key focus points for the meteorological department to participate in climate catastrophe insurance. Finally, this paper proposes measures to enhance climate catastrophe insurance in China in future from the development of international catastrophe insurance and China's climate catastrophe pilot work. Firstly, consider the whole process of comprehensive disaster prevention and mitigation concept and play the role of the government and the market and other multi-body, to explore the construction of the catastrophe insurance system. Secondly, establish a special or comprehensive catastrophe insurance fund. Thirdly, promote the formation of public–private partnership sharing mechanism. Fourthly, the government should provide appropriate legal and policy support. Fifthly, use the market mechanisms to reduce government pressure on public finances in catastrophe insurance.
      PubDate: 2022-08-12
       
  • Peak ground acceleration prediction using artificial neural networks for
           Kachchh, Gujarat, India

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      Abstract: Abstract The uncertainty in the empirical ground motion prediction models (GMMs) for any region depends on several parameters. In the present work, we apply an artificial neural network (ANN) to design a GMM of peak ground acceleration (PGA) for Kachchh, Gujarat, India, utilizing independent input parameters viz., moment magnitudes, hypocentral distances, focal depths and site proxy (in terms of average seismic shear-wave velocity from the surface to a depth of 30 m (Vs30)). The study has been performed using a PGA dataset consisting of eight engineering seismoscope records of the 2001 Mw7.7 Bhuj earthquake and 237 strong-motion records of 32 significant Bhuj aftershocks of Mw3.3–5.6 (during 2002–2008) with epicentral distances ranging from 1.0 to 288 km. We apply a feed-forward back propagation ANN method with 8 hidden nodes, which is found to be optimal for the selected PGA database and input–output mapping. The standard deviation of the error has been utilized to examine the performance of our model. We also test the ground motion predictability of our ANN model using real recordings of the 2001 Bhuj mainshock, two Mw5.6 Kachchh aftershocks and the 1999 Mw6.4 Chamoli mainshock. The standard deviation of PGA prediction error estimates in log10 units is found to be ± 0.2554. Also, the model predictability of our ANN model suggests a good prediction of the PGA for earthquakes of Mw5.6–7.7, which are occurring in Kachchh, Gujarat, India.
      PubDate: 2022-08-12
       
  • Changes in rainfall rates and increased number of extreme rainfall events
           in Rio de Janeiro city

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      Abstract: Abstract Increased temperature rates have the potential to change the rainfall regime in a given region, as well as to intensify its extreme events, which may lead to significant and negative socioeconomic and environmental impacts on urban populations. However, knowledge about the extent of changes in rainfall rates in Rio de Janeiro City (RJC) remains incipient; thus, it is necessary applying indices climate change to help better understanding this phenomenon. The aim of the current study is to investigate changes in rainfall distribution and increase in the number of extreme rainfall events in RJC. Daily rainfall data deriving from fifteen weather stations distributed in RJC were analyzed in the RclimDex software and Mann–Kendall test. The analysis has shown increased rainfall rates from the beginning of the series to approximately the first ten years of study. Total rainfall rate has decreased after this period. Rainfall intensity in almost all seasons has decreased after 2005; this outcome has indicated reduced annual rainfall rate and number of wet days. However, there was prevalence of positive trends in daily rainfall rates (Rx1day) and in total rainfall of five consecutive days (Rx5day). The increased number of extreme rainfall events in RJC can cause sudden inundations, floods, runoffs and river overflows with potential to cause landslides and human death due to irregular occupation of hills and slopes.
      PubDate: 2022-08-12
       
  • Community-based assessment of coastal erosion in Lagos, Nigeria

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      Abstract: Abstract Coastal erosion is a natural process that constantly reconfigures beaches, either in a landward or seaward direction. This study aims to assess the situation, causes, and impacts of coastal erosion on selected communities in Lagos State, Nigeria. Three local government areas (LGAs) that share boundaries with the coast (Ibeju-Lekki, Eti-Osa and Badagry-West LGAs) were purposively sampled. Google Earth Pro images were acquired from Landsat, Copernicus, Maxar technologies, and TerraMetrics for 1984, 1999 and 2021 to analyze shoreline movement dynamics using Digital Shoreline Analysis Software. A structured questionnaire was used to elicit information on the communities' perceptions. We used the convenience sampling method to administer 670 samples of the questionnaire at a 95.52% response rate. Images analysis revealed that Eti-Osa has the highest erosion distance (98.54 m) at an erosion rate of 8.88 m/year, while Badagry-West LGA has the least erosion distance (25.82 m) at an erosion rate of −2.31 m/year. This confirms the respondents’ perception of coastline erosion and accretion which varies significantly across communities at X2 (18) = 378.54, p < 0.05. The perceived leading causes of coastal erosion include heavy rainfall, intense storms, sea-level rise, developmental activities, and the anger of the gods, and they vary significantly across the communities at communities (X2 (36) = 135.46, p < 0.05). The malevolent effects of this phenomenon, which include loss of homes and properties, groundwater quality impairment, relocation of settlement, and a threat to tourism, also vary significantly across communities. These communities are characterized by a low level of resilience to coastal erosion, hence susceptible to impending effects of climate change.
      PubDate: 2022-08-11
       
  • Study on forest fire risk in Conghua district of Guangzhou city based on
           multi-source data

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      Abstract: Abstract Forest fire not only seriously affects the stability of forest ecosystem, but also threatens the safety of human life and property. It is very important to evaluate and forecast the risk of forest fire. This paper takes Conghua District of Guangzhou City as the research area. Based on Landsat 8 OLI/TIRS data, Sentinel-1 data, nighttime light data, DEM data, the seven evaluation factors of fuel moisture content, land surface temperature, altitude, slope, proximity to river, proximity to road and proximity to settlement are calculated. The forest fire risk assessment index system is constructed by analytic hierarchy process. Data from 326 historical active fires obtained by NASA-FIRMS website are used to verify. The area under the ROC curve (AUC) is used to estimate the performance of the forest fire risk map. The result shows that the value of AUC is 0.791, indicating that the forest fire risk assessment index system has good applicability to Conghua District of Guangzhou City, and it can provide scientific reference for the establishment of forest fire risk assessment index system in other areas.
      PubDate: 2022-08-11
       
  • Dynamic monitoring of flood disaster based on remote sensing data cube

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      Abstract: Abstract High-frequency dynamic monitoring of flood disaster using remote sensing technology is crucial for accurate decision-making of disaster prevention and relief. However, the current trade-off between spatial and temporal resolution of remote sensing sensors limits their application in high-frequency dynamic monitoring of flood disaster. To deal with this challenge, in this study, we presented an approach to conduct high-frequency dynamic monitoring of flood disaster based on remote sensing data cube with high spatial and temporal resolution. The presented approach included two steps: a, removing the cloudy areas in original MODIS data to construct the cloud-free MODIS data cube by using the information provided by GPM rainfall data; b, fusing the cloud-free MODIS data cube and Landsat-8 data by using the spatiotemporal data fusion algorithm to construct the high spatiotemporal resolution (Landsat-like) data cube. The approach was tested by conducting high-frequency dynamic monitoring of flood disaster occurred in Henan Province, PR China. Our study had three main results: (1) the presented cloud removal algorithm in the first step was able to retain flood information and performed well in removing clouds during consecutive rainy days. The differences between cloud-free MODIS data cube and original MODIS data were small and the cloud-free MODIS data cube could be used for constructing high spatiotemporal resolution data cube. (2) Our presented approach could be used to conduct high-frequency dynamic monitoring of flood disaster. (3) Testing results showed that there were two floods occurred in the study area from July 17, 2021, to October 16, 2021; the first flood occurred from July 17, 2021, to September 15, 2021, with maximum affected area of 668.36 km2; the second flood occurred from September 18, 2021, to October 16, 2021, with maximum affected area of 303.88 km2. Our study provides a general approach for high-frequency monitoring of flood disaster.
      PubDate: 2022-08-11
       
  • Assessment of agricultural drought loss using a skewed grey cloud ordered
           clustering model

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      Abstract: Abstract A skewed grey cloud ordered clustering model is proposed to overcome the problem that the existing grey clustering assessment results are inconsistent with objective reality due to the greyness, fuzziness, and randomness of information in the process of agricultural drought loss assessment. The skewed grey cloud model is built by split-combination possibility function, which is based on the normal grey cloud model. The grey cloud constraint interval is solved using the outer envelope curve and expectation curve of the skewed grey cloud, and the classification weight of the index is derived using the Gini coefficient. Then, the grey cloud constraint interval and the weight coefficient of comprehensive decision measure are combined to establish the ordered clustering criterion of skewed grey cloud. The degree of agricultural drought loss in Henan Province is examined from 2006 to 2019, and the assessment results are compared to those of the grey clustering model, normal grey cloud clustering model and comprehensive index method. The results reveal that the skewed grey cloud model’s evaluation results are more in line with the actual scenario of agricultural drought in Henan Province, showing the model’s applicability and usefulness.
      PubDate: 2022-08-10
       
  • Integration of convolutional neural networks for flood risk mapping in
           Tuscany, Italy

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      Abstract: Abstract Machine learning-based methodologies have depicted remarkable performance in digital processing of remote sensing imagery. In this work, we propose an integration of hazard susceptibility and vulnerability assessment in flood risk mapping using a CNN—based methodological framework. For this reason, we used nine predictor variables and a flood inventory from past flood events in a part of Tuscany region to train the model. Following a successful learning procedure, the performance of the proposed model was evaluated on a test dataset and depicted a promising prediction accuracy (95%). The analysis of the flood susceptibility map indicated that 4.7 and 2% of the entire study area depict very high and high susceptibility to future flood occurrences, respectively, corresponding to total areas of 44.06 and 19.33 km2. Flood risk map depicts those land cover categories that will be severely affected in a future flood event. Among them, a large part of Livorno and a few industrial buildings were highlighted as areas of very high risk.
      PubDate: 2022-08-10
       
  • A new approach to spatial risk analysis in the long-term (1950–2020)
           assessment of natural disasters (avalanche, landslide, rockfall, flood) in
           Turkey

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      Abstract: Abstract It would be beneficial to consider the results of the long-term evaluation of natural disasters in the decision-making process for disaster damage reduction/prevention. However, disaster evaluation is a complex and time-consuming process depending on different factors such as data type and data period. In this study, a new approach is proposed to determine the risk groups of the provinces in Turkey according to the disaster types (avalanche, landslide, rockfall, and flood) at regional and national scales. Disaster data between 1950 and 2020 were evaluated by considering the number of disasters in the provinces. The obtained data were subjected to cluster analysis, and then, the cluster groups were converted into risk classes. Finally, the risk weight ratios of the provinces and regions were calculated and thematically mapped by integrating them with GIS methods. According to the results, when four disaster types were considered together, Trabzon is the riskiest province on a provincial basis and the Black Sea is the riskiest region on a regional basis in Turkey. Additionally, the results of the study show that cluster analysis offers an effective solution for the evaluation of long-term large datasets. Furthermore, it was found that the new approach, which is used to minimize the errors that may be caused by surface area differences, makes a significant contribution to the evaluation process. This new approach will make a positive contribution to the analysts at the stage of giving priority to disasters and establishing protective and preventive policies on a national and global scale.
      PubDate: 2022-08-10
       
  • Risk assessment of dammed lakes in China based on Bayesian network

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      Abstract: Abstract Scientific risk assessment of dammed lakes is vitally important for emergency response planning. In this study, based on the evolution process of the disaster chain, the logic topology structure of dammed lake risk was developed. Then, a quantitative risk assessment model of dammed lake using Bayesian network is developed, which includes three modules of dammed lake hazard evaluation, outburst flood routing simulation, and loss assessment. In the model, the network nodes of each module were quantified using statistical data, empirical model, logical inference, and Monte Carlo method. The failure probability of a dammed lake, and the losses of life and property were calculated. This can be multiplied to assess the risk a dammed lake imposes after the uniformization of each loss type. Based on the socio-economic development and longevity statistics of dammed lakes, a risk-level classification method for dammed lakes is proposed. The Baige dammed lake, which emerged in China in 2018, was chosen as a case study and a risk assessment was conducted. The obtained results showed that the comprehensive risk index of Baige dammed lake is 0.7339 under the condition without manual intervention, identifying it as the extra-high level according to the classification. These results are in accordance with the actual condition, which corroborates the reasonability of the proposed model. The model can quickly and quantitatively evaluate the overall risk of a dammed lake and provide a reference for decision-making in a rapid emergency response scenario.
      PubDate: 2022-08-10
       
  • CrowdBIG: crowd-based system for information gathering from the earthquake
           environment

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      Abstract: Abstract Natural disasters have always threatened the lives of humans and other creatures. One of the significant challenges for quickly responding to an earthquake is the need for precise and comprehensive information. Given that part of the environmental infrastructure is destroyed, quickly acquiring the required information is a serious challenge. Due to the ubiquity of smartphones, which have sensing, processing, and communication capabilities, this paper proposes CrowdBIG, a crowdsourcing-based architecture for information acquisition from the disaster environment. CrowdBIG architecture consists of four layers: sensing, fog, cloud, and application. Given that the reliability of crowdsourcing systems is dependent on the quality of user data, detecting malicious users, as well as scoring, and selecting useful users are of great importance. The CrowdBIG system is equipped with a reputation management component, which contains two sub-components: malicious user detection and user scoring. To evaluate the CrowdBIG system, first, we validate the information acquisition and dissemination workflow of the system using a scenario-based method. We then simulate the disaster environment through several well-known scenarios. The results show that CrowdBIG can detect malicious users appropriately. The CrowdBIG system can also score non-malicious users reasonably based on their usefulness and information completeness rates. The simulation results reveal that the reliability of the CrowdBIG system is 92%. Finally, the usability evaluation survey shows that more than 80% of the participants rated the usability of the proposed information-gathering tool as good or excellent.
      PubDate: 2022-08-10
       
  • Challenges and opportunities using new modalities and technologies for
           multi-risk management

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      Abstract: Abstract Recent crisis events and disasters, such as the 2021 flood disaster in Germany highlight the fact, that the management of multi-risks remains a challenge for risk managers and decision-makers even in highly developed countries. Nevertheless, over the past decade, new and innovative methods for data collection, analyses and communication have emerged and are increasingly being utilised in all phases of disaster risk management, e.g., from the domain of earth observation, artificial intelligence (AI) and social media. However, there are still gaps between scientific research, operative civil protection, and political decision-making. These gaps can only be bridged by closer collaboration and exchange.
      PubDate: 2022-08-09
       
 
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