Results 151 to 160 of about 21,655,602 (321)

Significance of the China Meteorological Assimilation Driving Datasets for the SWAT Model (CMADS) of East Asia

open access: yes, 2017
The high degree of spatial variability in climate conditions, and a lack of meteorological data for East Asia, present challenges to conducting surface water research in the context of the hydrological cycle.
Xianyong Meng, Hao Wang
semanticscholar   +1 more source

Comparative study of daily streamflow prediction based on coupling SWAT+ with interpretable machine learning algorithms

open access: yesEcological Informatics
In recent years, climate change has substantially affected the global water cycle, leading to an increase in the frequency and intensity of extreme hydrological events. Developing more accurate and efficient hydrological models is therefore essential for
Chen Cao, Miaomiao Ying
doaj   +1 more source

Spatial Analysis and Modeling the Nitrogen Flush after Rainfall Events at the Field Scale in SWAT [PDF]

open access: hybrid, 2016
Elizabeth B. Haney   +5 more
openalex   +1 more source

How Can We Represent Seasonal Land Use Dynamics in SWAT and SWAT+ Models for African Cultivated Catchments? [PDF]

open access: gold, 2020
Albert Nkwasa   +5 more
openalex   +1 more source

Watershed Runoff Simulation and Prediction Based on BMA Coupled SWAT-LSTM Model

open access: yesHydrology
In response to the issues of low runoff prediction accuracy and difficulty in parameter determination in regions frequently experiencing extreme hydrological events, this study is based on data such as digital elevation, land use, soil type, and ...
Wenju Zhao   +4 more
doaj   +1 more source

Multivariate adaptive regression splines-assisted approximate Bayesian computation for calibration of complex hydrological models

open access: yesJournal of Hydroinformatics
Approximate Bayesian computation (ABC) relaxes the need to derive explicit likelihood functions required by formal Bayesian analysis. However, the high computational cost of evaluating models limits the application of Bayesian inference in hydrological ...
Jinfeng Ma   +6 more
doaj   +1 more source

Comparison and Correction of Runoff Simulation Based on XGBoost and SWAT

open access: yesRenmin Zhujiang
Runoff simulation has always been a research hotspot in hydrological science, which has important guiding significance for water resources research.
LIANG Lisha   +5 more
doaj   +2 more sources

Modeling Blue and Green Water Resources Availability in an Iranian Data Scarce Watershed Using SWAT [PDF]

open access: hybrid, 2015
Gholamabbas Sayyad   +4 more
openalex   +1 more source

Home - About - Disclaimer - Privacy