Results 11 to 20 of about 5,924 (197)

Enhanced streamflow prediction with SWAT using support vector regression for spatial calibration: A case study in the Illinois River watershed, U.S.

open access: yesPLoS ONE, 2021
Accurate streamflow prediction plays a pivotal role in hydraulic project design, nonpoint source pollution estimation, and water resources planning and management.
Lifeng Yuan, Kenneth J Forshay
doaj   +1 more source

Intercomparison of SWAT and ANN techniques in simulating streamflows in the Astore Basin of the Upper Indus

open access: yesWater Science and Technology, 2023
The current research work was carried out to simulate monthly streamflow historical record using Soil and Water Assessment Tool (SWAT) and Artificial Neural Network (ANN) at the Astore Basin, Gilgit-Baltistan, Pakistan.
Sunaid Khan   +5 more
doaj   +1 more source

Improvement of the SWAT model for event-based flood simulation on a sub-daily timescale [PDF]

open access: yesHydrology and Earth System Sciences, 2018
Flooding represents one of the most severe natural disasters threatening the development of human society. A model that is capable of predicting the hydrological responses in watershed with management practices during flood period would be a crucial ...
D. Yu   +15 more
doaj   +1 more source

Prediction of Streamflow of the Anai-Weir Catchment Using Both the SWAT and Mock Models

open access: yesJournal of Applied Agricultural Science and Technology, 2023
This research focuses on predicting the streamflow of the Anai-weir catchment using the SWAT (Soil and Water Assessment Tools) and Mock models. The catchment studied is approximately 34,024 ha wide.
Mas Mera   +2 more
doaj   +1 more source

ANALISIS DEBIT PADA DAS AIR DINGIN MENGGUNAKAN MODEL SWAT

open access: yesJurnal Teknologi Pertanian Andalas, 2017
Perubahan penggunaan lahan dari lahan bervegetasi ke non vegetasi mengakibatkan besarnya limpasan (run off) sehingga debit menjadi meningkat terutama pada musim hujan.
Nika Rahma Yanti   +2 more
doaj   +1 more source

Predicting of Runoff Using an Optimized SWAT-ANN: A Case Study

open access: yesJournal of Hydrology: Regional Studies, 2020
Study region: The Baliqlu Chai Watershed is located in Iran in Ardabil province, with area of 1036 km2 and average rainfall of 280.9 mm. The area has been plagued with mismanagement of water resources.
Zhihua LV, Junjie Zuo, Dragan Rodriguez
doaj   +1 more source

Hybrid model for daily streamflow and phosphorus load prediction

open access: yesWater Science and Technology, 2023
Environmental factors, such as climate change and land use changes, affect water quality drastically. To consider these, various predictive models, both process-based and data-driven, have been used. However, each model has distinct limitations.
DoYeon Lee   +6 more
doaj   +1 more source

A New Physically-Based Spatially-Distributed Groundwater Flow Module for SWAT+

open access: yesHydrology, 2020
Watershed models are used worldwide to assist with water and nutrient management under conditions of changing climate, land use, and population. Of these models, the Soil and Water Assessment Tool (SWAT) and SWAT+ are the most widely used, although their
Ryan T. Bailey   +3 more
doaj   +1 more source

Modelling of Surface Water Quality by Catchment Model SWAT [PDF]

open access: yes, 2012
Catchment represents a logical administrative unit of governance as a biological, physical, economic and social system, which is affected by natural (rain, sun) and human influences (industry, agriculture, population). The effective implementation of the river basin management plans are necessary and should include clear and strong objectives and ...
Glavan, Matjaž, Pintar, Marina
openaire   +2 more sources

A GUIDED SWAT MODEL APPLICATION ON SEDIMENT YIELD MODELING IN PANGANI RIVER BASIN: LESSONS LEARNT

open access: yesJournal of Urban and Environmental Engineering, 2008
The overall objective of this paper is to report on the lessons learnt from applying Soil and Water Assessment Tool (SWAT) in a well guided sediment yield modelling study.
Preksedis M. Ndomba   +2 more
doaj   +2 more sources

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