Results 101 to 110 of about 21,655,602 (321)

Estimation of landscape pattern change on stream flow using SWAT-VRR

European Journal of Remote Sensing, 2020
With the development of landscape ecology and hydrology, the research in relationship between landscape pattern changes and hydrological process is pushed into a further level, and also to proposed a higher request to the development of related models ...
Wei Chong, Zhang Lin-Jing, Wu Qing, Cao Lian-Hai, Zhang Lu, Yao Lun-Guang, Zhu Yun-Xian, Yang Feng   +7 more
doaj   +1 more source

Sobol′’s sensitivity analysis for a distributed hydrological model of Yichun River Basin, China [PDF]

, 2014
Copyright © 2013 Elsevier. NOTICE: this is the author’s version of a work that was accepted for publication in Journal of Hydrology. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and ...
Abbott, Anand, Archer, Arnold, Arnold, Arnold, Beven, Beven, Boyle, Chi Zhang, Chu, Cibin, Confesor, Doherty, Duffy, Efron, Fu, Fu, Fu, Gassman, Guangtao Fu, Hall, Hornberger, Hu, Huang, Jinggang Chu, McKay, McKay, Mokhtari, Neitsch, Neter, Nossent, Panday, Pappenberger, Sobol′, Sobol′, Tang, Tang, van Griensven, van Werkhoven, Wagener, Wang, Wang, Yang, Young, Zhang, Zhang, Zhang, Zhang, Zhang, Zhang   +50 more
core   +1 more source

Modelling the possible Debris Flow events in Swat Mountains Using Flow-R -A Case Study in Pakistan [PDF]

, 2023
Sohaib Hassan, Saqib Ehsan, Sohail Afzal, Hassan Hassan, Ihtasham Ahmed Ihtasham Ahmed, Muhammad Usama Bin Saleem Muhammad Usama Bin Saleem   +5 more
openalex   +1 more source

Revealing Deep Learning Model Preferences for Spatio‐Temporal Drivers of Runoff Forecasting: A SHAP‐Based Comparative Study

Journal of Flood Risk Management, Volume 19, Issue 1, March 2026.
ABSTRACT Accurate runoff forecasting is essential for flood prediction and disaster preparedness amid increasing hydrological extremes driven by climate change. While deep learning models offer high efficiency, most interpretability studies focus on single models.
Ziru Yang, Yong Lei, Guoru Huang, Zhaoyang Zeng, Long Qi, Wenjie Chen   +5 more
wiley   +1 more source

Assessment of Hydrology and Sediment Yield in the Mekong River Basin Using SWAT Model

Water, 2020
The Mekong River Basin (MRB) in Southeast Asia is among the world’s ten largest rivers, both in terms of its discharge and sediment load. The spatial and temporal resolution to accurately determine the sediment load/yield from tributaries and sub-basin ...
Ty Sok, C. Oeurng, Ilan Ich, S. Sauvage, José Miguel Sánchez-Pérez   +4 more
semanticscholar   +1 more source

DNA barcode analyses and taxonomy reveal two new species of Inocybe from Pine and Oak forests of Pakistan

Nordic Journal of Botany, Volume 2026, Issue 2, February 2026.
Here we describe two new species of Inocybe from pine forests of Pakistan; I. hazarensisand I. shimlaensis. Morphological and molecular data show that these species have not been described before and hence need to be described as new. Both species are smooth‐spored and pruinose only in the apical part of the stipe.
Arooj Naseer, Samreen Muhammad Yar, Nighat Hameed, Sana Angbeen, Ali Abbas, Sana Ghulam Rasool, Sidra Ibrahim, Abdul Nasir Khalid   +7 more
wiley   +1 more source

Advancing Water Security in the Tropical and Subtropical Regions: An Integrative Topic Modeling Approach

World Water Policy, Volume 12, Issue 1, February 2026.
ABSTRACT Water security in tropical regions faces escalating pressures from climate change, land‐use shifts, and population growth. We conducted a bibliometric review of 1146 peer‐reviewed articles (1964–2023) on tropical water security. Latent Dirichlet Allocation identified 13 thematic topics and their evolution. Publications rose sharply after 2012,
Karling Fernanda Schuster, Cássia Alves Lima‐Rezende, José Francisco Gonçalves, Renan de Souza Rezende   +3 more
wiley   +1 more source

Exploring alternate coupling inputs of a data-driven model for optimum daily streamflow prediction in calibrated SWAT-BiLSTM rainfall-runoff modeling

Frontiers in Water
Accurate streamflow prediction in mountainous regions is vital for sustaining water resources in downstream areas, ensuring reliable availability for agriculture, energy, and consumption.
Khalil Ahmad, Khalil Ahmad, Mudassar Iqbal, Muhammad Atiq Ur Rehman Tariq, Afed Ullah Khan, Abdullah Nadeem, Jinlei Chen, Kseniia Usanova, Kseniia Usanova, Hamad Almujibah, Hashem Alyami, Muhammad Abid   +11 more
doaj   +1 more source

Differentiable River Routing for End‐to‐End Learning of Hydrological Processes

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 1, February 2026.
Abstract Deep Learning (DL) approaches have shown high accuracy in rainfall runoff modeling. Currently, however, large‐scale DL hydrological simulations at national and global scales still rely on external routing schemes to propagate runoff outputs through river networks, preventing them from leveraging the benefits of end‐to‐end learning of ...
Tristan Hascoet, Victor Pellet, Satoru Oishi, Takemasa Miyoshi   +3 more
wiley   +1 more source

Quantifying stream phosphorus dynamics and total suspended sediment export in forested watersheds in Vermont [PDF]

, 2018
Globally the quantity of reactive phosphorus (P) in soils, streams and groundwater has greatly increased throughout the 20th and early 21st centuries. This phenomenon is problematic in Vermont, evidenced by the repeated cyanobacteria blooms in shallow ...
Ross, Donald, Ryan, Sophia C, Wemple, Beverley   +2 more
core   +2 more sources