[HTML][HTML] Exploring groundwater patterns in Souss-Massa Mountainous Basin, Morocco: A fusion of fractal analysis and machine learning techniques on gravity data
Groundwater potential in Morocco's Souss-Massa mountainous basin (SMMB) is being
identified using geospatial tools and geological data. We deployed four mathematical …
identified using geospatial tools and geological data. We deployed four mathematical …
Enhancing drought monitoring through spatial downscaling: A geographically weighted regression approach using TRMM 3B43 precipitation in the Urmia Lake Basin
SK Choursi, M Erfanian, H Abghari… - Earth Science …, 2024 - Springer
Efficient drought monitoring in the Urmia Lake basin (ULB) is imperative to protect its
ecosystem, agriculture, and the livelihoods of local communities relying on its water …
ecosystem, agriculture, and the livelihoods of local communities relying on its water …
[HTML][HTML] Research on the Jiamusi Area's Shallow Groundwater Recharge Using Remote Sensing and the SWAT Model
X Yang, C Dai, G Liu, C Li - Applied Sciences, 2024 - mdpi.com
Jiamusi is situated in Heilongjiang Province, China, in the center of the Sanjiang Plain. The
1980s' overplanting of paddy fields resulted in a decrease in groundwater levels, scarcity of …
1980s' overplanting of paddy fields resulted in a decrease in groundwater levels, scarcity of …
Evaluation of SWAT Model in Runoff Simulation Using Rainfall and Temperature Derived From Satellite Images
Accurate simulation of hydrological processes in watersheds is of great importance. The
accuracy of rainfall and temperature data plays a crucial role as effective inputs in …
accuracy of rainfall and temperature data plays a crucial role as effective inputs in …
[HTML][HTML] Evaluation of precipitation products for enhancing hydrological model output: A Chemung River watershed case study
Accurate and reliable hydrological model outputs in river catchments is greatly improved by
the inclusion of high-quality precipitation data, especially in areas with limited or nonexistent …
the inclusion of high-quality precipitation data, especially in areas with limited or nonexistent …