An integrated statistical-machine learning approach for runoff prediction
AK Singh, P Kumar, R Ali, N Al-Ansari… - Sustainability, 2022 - mdpi.com
Nowadays, great attention has been attributed to the study of runoff and its fluctuation over
space and time. There is a crucial need for a good soil and water management system to …
space and time. There is a crucial need for a good soil and water management system to …
Application of innovative machine learning techniques for long-term rainfall prediction
S Markuna, P Kumar, R Ali, DK Vishwkarma… - Pure and Applied …, 2023 - Springer
Rainfall forecasting is critical because it is the componen t that has the strongest link to
natural disasters such as landslides, floods, mass movements, and avalanches. The present …
natural disasters such as landslides, floods, mass movements, and avalanches. The present …
[HTML][HTML] Map** groundwater potential zones in Kanchanaburi Province, Thailand by integrating of analytic hierarchy process, frequency ratio, and random forest
NN Thanh, S Chotpantarat, NH Trung, NH Ngu - Ecological Indicators, 2022 - Elsevier
At the basic level, groundwater potential zone (GWPZ) map** plays an important role in
sustainable water resource management. There are different approaches to delineating …
sustainable water resource management. There are different approaches to delineating …
Snowmelt erosion: A review
Z Wu, H Fang - Earth-Science Reviews, 2024 - Elsevier
As a vital freshwater resource for one-sixth of the world's population, snowmelt provides
great convenience for residents in terms of livelihood and production, agricultural irrigation …
great convenience for residents in terms of livelihood and production, agricultural irrigation …
InSAR time-series deformation forecasting surrounding Salt Lake using deep transformer models
The free and open data policy of Sentinel-1 SAR images enables Radar interferometry
(InSAR) to perform time series surface deformation monitoring over large areas. InSAR …
(InSAR) to perform time series surface deformation monitoring over large areas. InSAR …
Application of MK trend and test of Sen's slope estimator to measure impact of climate change on the adoption of conservation agriculture in Ethiopia
H Jiqin, FT Gelata, S Chaka Gemeda - Journal of Water and …, 2023 - iwaponline.com
The objective of this study is to identify the adoption level of this agricultural technology
affected by climate change and to confirm the relationship with conservation agriculture. The …
affected by climate change and to confirm the relationship with conservation agriculture. The …
[HTML][HTML] Enhancing community resilience in arid regions: A smart framework for flash flood risk assessment
This paper presents a novel framework for smart integrated risk management in arid regions.
The framework combines flash flood modelling, statistical methods, artificial intelligence (AI) …
The framework combines flash flood modelling, statistical methods, artificial intelligence (AI) …
Individual and combined impacts of urbanization and climate change on catchment runoff in Southeast Queensland, Australia
MR Ramezani, F Helfer, B Yu - Science of The Total Environment, 2023 - Elsevier
Assessing the impacts of climate change and land-use change is of critical importance,
particularly for urbanized catchments. In this study, a novel framework was used to examine …
particularly for urbanized catchments. In this study, a novel framework was used to examine …
Long-term hydrological simulation for the estimation of snowmelt contribution of Alaknanda River Basin, Uttarakhand using SWAT
KS Rautela, D Kumar, BGR Gandhi… - AQUA—Water …, 2023 - iwaponline.com
A large population depends on water resources generated due to runoff from Himalayan
River basins. They provide enough water for drinking, domestic, industrial, and irrigation …
River basins. They provide enough water for drinking, domestic, industrial, and irrigation …
Development of a physics-informed data-driven model for gaining insights into hydrological processes in irrigated watersheds
Data-driven hydrological modeling has seen rapid development in recent years owing to its
flexibility to approximate the complex relationships between driving forces and hydrological …
flexibility to approximate the complex relationships between driving forces and hydrological …