[HTML][HTML] Hydrological application and accuracy evaluation of PERSIANN satellite-based precipitation estimates over a humid continental climate catchment

MR Eini, A Rahmati, M Piniewski - Journal of Hydrology: Regional Studies, 2022 - Elsevier
Abstract Study region The Wełna catchment (52° 30'–53° N and 16° 35'–17° 50'E) is a
medium-sized, lowland catchment in the central part of Poland in Central Europe with a total …

A data-driven approach to exploring the causal relationships between distributed pumping activities and aquifer drawdown

M Pang, E Du, C Zheng - Science of the Total Environment, 2023 - Elsevier
Groundwater depletion, typically caused by the distributed pumping activities of multiple
stakeholders (ie, water users) that share a hydrologically connected aquifer, has led to …

Long-term evaluation of rainfall in the arid region of Pakistan using multi-source data

E Elahi, MI Abro, MA Khaskheli, GA Kandhro… - Theoretical and Applied …, 2024 - Springer
Reliable long-term precipitation estimation data holds immense hydrometeorological value
due to its extensive spatial coverage and extended temporal records. Its availability is …

Simulation of flood inundation extent by integration of HEC-HMS, GA-based rating curve and cost distance analysis

S Debbarma, S Dey, A Bandyopadhyay… - Water Resources …, 2024 - Springer
Flood inundation modeling is crucial for analyzing floods and understanding the impact of
rainfall on runoff. Traditional hydraulic models require substantial data and technical skill …

Frequency analysis based on Peaks-Over-Threshold approach for GPM IMERG precipitation product

H Aksu, SG Yaldiz, GY Taflan, MA Akgül - Theoretical and Applied …, 2023 - Springer
The accurate estimation of extreme precipitation frequency relies heavily on the quality of
precipitation data. Conventional rain gauges provide in-situ observations, but they are …

A novel coupling interpretable machine learning framework for water quality prediction and environmental effect understanding in different flow discharge regulations …

X Nong, C Lai, L Chen, J Wei - Science of The Total Environment, 2024 - Elsevier
Abstract Machine learning models (MLMs) have been increasingly used to forecast water
pollution. However, the “black box” characteristic for understanding mechanism processes …

Integrated Multisource Data Assimilation and NSGA-II Multiobjective Optimization Framework for Streamflow Simulations

M Bahrami, N Talebbeydokhti… - Journal of Hydrologic …, 2024 - ascelibrary.org
Given the importance of input data, particularly precipitation, in hydrologic modeling for
streamflow simulation, there has been growing emphasis on developing frameworks that …

Synergistic approach for streamflow forecasting in a glacierized catchment of western Himalaya using earth observation and machine learning techniques

JK Dharpure, A Goswami, A Patel, D Singh… - Earth Science …, 2024 - Springer
Accurate forecast of daily streamflow of the major Himalayan rivers is crucial for
understanding changes in their hydrological regimes caused by precipitation variability, as …

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 …

[HTML][HTML] An approach to select optimum inputs for hydrological modeling to improve simulation accuracy in data-scarce regions

J Zhou, X Wang, J Ma, Z Jia, X Wang, X Zhang… - Journal of Hydrology …, 2023 - Elsevier
Study region The source regions of the Yellow River and Yangtze River in the central-
eastern part of the Tibetan Plateau. Study focus Hydrological model is an important tool in …