Assimilation of Sentinel‐Based Leaf Area Index for Modeling Surface‐Ground Water Interactions in Irrigation Districts

Water Resources Research, Journal Year: 2024, Volume and Issue: 60(10)

Published: Oct. 1, 2024

Abstract Vegetation‐related processes, such as evapotranspiration (ET), irrigation water withdrawal, and groundwater recharge, are influencing surface (SW)—groundwater (GW) interaction in districts. Meanwhile, conventional numerical models of SW‐GW not developed based on satellite‐based observations vegetation indices. In this paper, we propose a novel methodology for multivariate assimilation Sentinel‐based leaf area index (LAI) well in‐situ records streamflow. Moreover, the GW model is initially calibrated table observations. These assimilated into SWAT‐MODFLOW to accurately analyze advantage considering high‐resolution LAI data modeling. We develop (DA) framework using particle filter sampling importance resampling (PF‐SIR). Parameters MODFLOW parameter estimation (PEST) algorithm observation table. The implemented over Mahabad Irrigation Plain, located Urmia Lake Basin Iran. Some DA scenarios closely examined, including univariate (L‐DA), streamflow (S‐DA), streamflow‐LAI (SL‐DA). Results show that SL‐DA scenario results best estimations streamflow, LAI, level, compared other scenarios. does improve accuracy estimation, while significant improvements simulation, where, open loop run, (absolute) bias decreases from 75% 6%. S‐DA, L‐DA, underestimates use demand potential actual crop yield.

Language: Английский

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Management Strategies for Dissolved Organic Carbon Reduction from Forested Watersheds using the SWAT-C model

Environmental Management, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 20, 2025

Forests serve as crucial carbon sinks, yet quantifying cycle processes within forested watersheds is challenging due to inherent complexities, including multiple pools and variability. Dissolved organic (DOC) transport from forests significantly impacts drinking water quality since it interacts with chlorine form disinfection byproducts. Although the Soil Water Assessment Tool-Carbon (SWAT-C) has been widely used understand fluxes at watershed scale, model primarily evaluated in non-forested loading aquatic systems, often overlooking terrestrial regions of interests. This study assessed applicability SWAT-C simulating both systems Big Creek located south-central United States (U.S.), which also serves a source, analyzed dominant pathways DOC across landscape. Additionally, three management scenarios (i.e., forest conversion, raking forests, adjusting biomass harvest croplands) aimed reducing were evaluated. Calibration efforts using remotely sensed well datasets demonstrated proficiency forest-dominated regions. Results emphasize importance initializing calibrating parameters land use/cover types enhance performance fluxes. The found that all can reduce into streams, conversion loblolly pine restored longleaf achieving 40% reduction forest-derived yields. These findings offer valuable insights for watershed-scale cycling modeling inform strategies forest-dominant mitigate

Language: Английский

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ANALYSIS OF SWAT+ MODEL PERFORMANCE: A COMPARATIVE STUDY USING DIFFERENT SOFTWARE AND ALGORITHMS

Environmental Modelling & Software, Journal Year: 2025, Volume and Issue: unknown, P. 106425 - 106425

Published: March 1, 2025

Language: Английский

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Enhancing SWAT’s snow module for multivariate Elevation-dependent snow and streamflow data assimilation

Journal of Hydrology, Journal Year: 2025, Volume and Issue: unknown, P. 133153 - 133153

Published: March 1, 2025

Language: Английский

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Application of hydrological models in climate change framework for a river basin in India

Journal of Water and Climate Change, Journal Year: 2023, Volume and Issue: 14(9), P. 3150 - 3165

Published: Aug. 28, 2023

Abstract Soil Water Assessment Tool (SWAT), Hydrologic Engineering Center-Hydrologic Modelling System (HEC-HMS), and Simulation Program Fortran (HSPF) are explored for streamflow simulation of Lower Godavari Basin, India. The simulating ability models is evaluated using four indicators. SWAT has shown exceptional in calibration validation compared to the other two. Accordingly, used climate change framework an ensemble 13 Global Climate Models Shared Socioeconomic Pathways (SSPs). Three time segments, near-future (2021–2046), mid-future (2047–2072), far-future (2073–2099), considered analysis. Four SSPs show a substantial increase historical period (1982–2020). These deviations range from 17.14 (in SSP245) 28.35% SSP126) (near-future), 31.32 (SSP370) 43.28% (SSP585) (mid-future), 30.41 (SSP126) 70.8% (far-future). Across all timescales covering 948 months, highest projected streamflows observed SSP126, SSP245, SSP370, SSP585 were 4962.36, 6,108, 6,821, 6,845 m3/s, respectively. Efforts also made appraise influence multi-model combinations on streamflow. present study expected provide platform holistic decision-making, which helps develop efficient basin planning management alternatives.

Language: Английский

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Impacts of climate and land-use change on flood events with different return periods in a mountainous watershed of North China

Journal of Hydrology Regional Studies, Journal Year: 2024, Volume and Issue: 55, P. 101943 - 101943

Published: Aug. 29, 2024

Language: Английский

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Time-varying parameters of the hydrological simulation model under a changing environment

Journal of Hydrology, Journal Year: 2024, Volume and Issue: 643, P. 131943 - 131943

Published: Sept. 4, 2024

Language: Английский

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Investigating Inherent Benchmarking for Single and Multiple Objective Functions: Utilizing the Spe Algorithm and Fdc Signatures to Enhance Runoff Efficiency Analysis

Published: Jan. 1, 2024

Language: Английский

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