The growing concerns surrounding water supply, driven by factors such as population
growth and industrialization, have highlighted the need for accurate estimation of streamflow …

Soil loss is an environmental concern of global importance. Accurate simulation of soil loss
in small watersheds is crucial for protecting the environment and implementing soil and …

Soil loss is a common land degradation process worldwide, which is impacted by land use
and climate change. In this study, random forests (RF) were first used to establish a soil loss …

ABSTRACT The Soil Conservation Service Curve Number (SCS-CN) model is widely used
to estimate the watershed runoff. However, the model may result in inaccurate estimations …

Groundwater serves as a vital resource for all living organisms. In regions extensively reliant
on groundwater irrigation, hydro-climatic factors, groundwater extraction, and the flow of …

It is of common experience that the sizeable portion of sediment yield generated over a
period in a catchment occurs largely due to only a few extreme storm events rather than the …

Many regions around the globe are subjected to precipitation-data scarcity that often hinders
the capacity of hydrological modeling. The entropy theory and the principle of maximum …

Recognizing the differential impacts of climate change across geographical scales, this
study emphasizes the importance of statistical downscaling. Using Gene Expression …

Groundwater is an essential resource for human survival, but its quality is often degraded by
the human activities such as improper disposal of waste. Leachate generated from landfill …

This study aims to evaluate the accuracy of two deep learning models, gated recurrent unit
(GRU) and long short-term memory (LSTM), for predicting daily suspended sediment load …