A review of non-point source water pollution modeling for the urban–rural transitional areas of China: Research status and prospect

J Xue, Q Wang, M Zhang - Science of The Total Environment, 2022 - Elsevier
China has experienced a rapid period of urbanization since the 1980s. Many traditional
agricultural areas were transformed into the urban-rural transitional areas, in which both …

[HTML][HTML] Flood susceptibility modelling using advanced ensemble machine learning models

ARMT Islam, S Talukdar, S Mahato, S Kundu… - Geoscience …, 2021 - Elsevier
Floods are one of nature's most destructive disasters because of the immense damage to
land, buildings, and human fatalities. It is difficult to forecast the areas that are vulnerable to …

Review of nonpoint source pollution models: current status and future direction

M Wang, L Chen, L Wu, L Zhang, H Xie, Z Shen - Water, 2022 - mdpi.com
Modelling tools are commonly used for predicting non-point source (NPS) pollutants and it is
timely to review progress that has been made in terms of the development of NPS models …

[HTML][HTML] Flood susceptibility zonation using advanced ensemble machine learning models within Himalayan foreland basin

S Ghosh, S Saha, B Bera - Natural Hazards Research, 2022 - Elsevier
Floods are considered as one of nature's most destructive fluvio-hydrological extremes
because of the massive damage to agricultural land, roads and buildings and human …

[HTML][HTML] Assessment of influencing factors on non-point source pollution critical source areas in an agricultural watershed

S Wang, Y Wang, Y Wang, Z Wang - Ecological Indicators, 2022 - Elsevier
Abstract Critical Source Areas (CSAs) are areas that contribute disproportionate high levels
of non-point source (NPS) pollution to receiving waters, and their occurrence is the result of …

Spatiotemporal climatic analysis in Pernambuco state, Northeast Brazil

AMRF Jardim, MV da Silva, AR Silva… - Journal of Atmospheric …, 2021 - Elsevier
The main factors responsible for the greatest natural disasters are related to extreme
weather events for which no country is really well-prepared, particularly in Latin America …

Comparative study of convolutional neural network (CNN) and support vector machine (SVM) for flood susceptibility mapping: a case study at Ras Gharib, Red Sea …

AM Youssef, B Pradhan, A Dikshit… - Geocarto …, 2022 - Taylor & Francis
Geohazard risk is high in Arab countries due to ineffective disaster preparedness measures,
mismanagement, lack of public awareness, inadequate funding and lack of stakeholder …

Flood sensitivity assessment of super cities

Z Wang, X Chen, Z Qi, C Cui - Scientific Reports, 2023 - nature.com
In the context of global urbanization, more and more people are attracted to these cities with
superior geographical conditions and strategic positions, resulting in the emergence of …

Effects of extreme precipitation intensity and duration on the runoff and nutrient yields

D Chang, S Li, Z Lai - Journal of Hydrology, 2023 - Elsevier
Extreme precipitation and its subsequent natural disasters, including soil erosion and flood,
have been confirmed to have major impacts on watershed hydrology and water quality …

[HTML][HTML] Effect of soil conservation measures and slope on runoff, soil, TN, and TP losses from cultivated lands in northern China

H Fang - Ecological Indicators, 2021 - Elsevier
Soil and nutrient loss characteristics in cultivated lands are scarcely identified in northern
China that could retard reasonable implementation of soil conservation measures. In the …