Reply on RC1 DOI Creative Commons

Elisabeth Brochet

Published: July 17, 2023

Abstract. In agricultural areas, the downstream flow can be highly influenced by human activities during low periods, especially dam releases and irrigation withdrawals. Irrigation is indeed major use of freshwater in world. This study aims at precisely taking these factors into account a watershed model. The Soil Water Assessment Tool (SWAT+) agro-hydrological model was chosen for its capacity to crop dynamics management. Two different models were compared their ability estimate water needs actual irrigation. first based on air temperature as main determining factor growth, whereas second relies high resolution data from Sentinel-2 satellite monitor plant growth. Both are applied plot scale 800 km2 characterized Results show that including remote sensing leads more realistic modeled emergence dates summer crops. However both approaches have proven able reproduce evolution daily withdrawals throughout year. As result, allowed simulate with good accuracy, periods.

Language: Английский

Informing the SWAT model with remote sensing detected vegetation phenology for improved modeling of ecohydrological processes DOI Creative Commons
Shouzhi Chen, Yongshuo H. Fu, Zhaofei Wu

et al.

Journal of Hydrology, Journal Year: 2022, Volume and Issue: 616, P. 128817 - 128817

Published: Nov. 28, 2022

Language: Английский

Citations

39
Enhancing SWAT model with modified method to improve Eco-hydrological simulation in arid region DOI
Yunfei Cai, Zhang Fei,

Jingchao Shi

et al.

Journal of Cleaner Production, Journal Year: 2023, Volume and Issue: 403, P. 136891 - 136891

Published: March 22, 2023

Language: Английский

Citations

23
Comparison of satellite-based and reanalysis precipitation products for hydrological modeling over a data-scarce region DOI
Afshin Jahanshahi,

Sayed Hussein Roshun,

Martijn J. Booij

et al.

Climate Dynamics, Journal Year: 2024, Volume and Issue: 62(5), P. 3505 - 3537

Published: Feb. 3, 2024

Language: Английский

Citations

10
Assimilation of Sentinel‐Based Leaf Area Index for Modeling Surface‐Ground Water Interactions in Irrigation Districts DOI Creative Commons
Nima Zafarmomen, Hosein Alizadeh,

Mehrad Bayat

et al.

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

Citations

6
Enhancing SWAT’s snow module for multivariate Elevation-dependent snow and streamflow data assimilation DOI

Mehrad Bayat,

Barat Mojaradi, Hosein Alizadeh

et al.

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

Published: March 1, 2025

Language: Английский

Citations

0
Effect of Forest Management Practices on Water Balance Across a Water–Energy Gradient in the Upper Kings River Basin, USA DOI Creative Commons
Stefano Casirati, M. H. Conklin, Saswata Nandi

et al.

Ecohydrology, Journal Year: 2025, Volume and Issue: 18(1)

Published: Jan. 1, 2025

ABSTRACT Headwater watersheds and forests play a crucial role in ensuring water security for the western United States. Reducing forest biomass from current overgrown can mitigate severity impact of wildfires offer additional competing ecohydrological benefits. A reduction canopy interception transpiration following treatments lead to an increase available remaining trees runoff. However, management on balance be highly variable due differences climate, topography, location vegetation. In this study, we used Soil Water Assessment Tool Plus model investigate how decisions regarding location, intensity scale affect both evapotranspiration streamflow large watershed such as upper Kings River Basin (3998 km 2 ). The was parameterized using multiobjective calibration streamflow, snow equivalent evapotranspiration. Various treatment scenarios were simulated across different years regions landscape. Modelling results show that during dry years, gains are primarily originated energy‐limited (i.e., 82% total first year). water‐limited regions, is prioritized sustaining trees, improving health recharging subsurface storage, rather than increasing streamflow. During wet contribution comes energy‐ areas. These findings emphasize importance evaluating larger scale. benefits downstream users driven by energy limitations vegetation targeted treatments, well climate variability modulates availability recovery time.

Language: Английский

Citations

0
Assimilation versus optimization for SWAT calibration: accuracy, uncertainty, and computational burden analysis DOI Creative Commons

Mehrad Bayat,

Hosein Alizadeh, Barat Mojaradi

et al.

Water Science & Technology Water Supply, Journal Year: 2023, Volume and Issue: 23(3), P. 1189 - 1207

Published: Feb. 22, 2023

Abstract The accurate estimation of runoff by hydrological models depends on proper model calibration. Sequential Data Assimilation (DA), as an online method, is used to estimate complex models' states and parameters simultaneously. Although DA was applied for estimating the Soil Water Assessment Tool (SWAT) model's state and/or parameter, previous research did not pay attention calibration or comparison between popular SWAT methods. This paper compares Ensemble Kalman Filter (EnKF), a well-known with Uncertainty Fitting (SUFI2), calibrate model. We test impact selected objective function in SUFI2 application. evaluate results based multiple deterministic uncertainty-based Goodness Fit (GOF) measures compare all scenarios simulation accuracy, computational burden, uncertainty assessment, parameter ranges. Results show that under application, some GOFs might be located unsatisfactory ranges while algorithm obtains (very) good concerning functions. On other hand, EnKF simultaneously locates most ratings. Moreover, we found selection SUFI2's specification uncertainty's error have significant effects results.

Language: Английский

Citations

8
Assessment of multiple dam- and sluice-induced alterations in hydrologic regime and ecological flow DOI
Zengliang Luo, Sihan Zhang, Huan Liu

et al.

Journal of Hydrology, Journal Year: 2022, Volume and Issue: 617, P. 128960 - 128960

Published: Dec. 15, 2022

Language: Английский

Citations

13
Interconnected hydrologic extreme drivers and impacts depicted by remote sensing data assimilation DOI Creative Commons
Timothy M. Lahmers, Sujay V. Kumar, Kim Locke

et al.

Scientific Reports, Journal Year: 2023, Volume and Issue: 13(1)

Published: Feb. 28, 2023

Abstract Hydrologic extremes often involve a complex interplay of several processes. For example, flood events can have cascade impacts, such as saturated soils and suppressed vegetation growth. Accurate representation interconnected processes while accounting for associated triggering factors subsequent impacts is difficult to achieve with conceptual hydrological models alone. In this study, we use the 2019 in Northern Mississippi Missouri Basins, which caused series hydrologic disturbances, an example event. This event began above-average precipitation combined anomalously high snowmelt spring 2019. anomalies resulted above normal soil moisture that prevented crops from being planted over much corn belt region. present demonstrate incorporating remote sensing information within modeling system adds substantial value representing lead resulting agricultural disturbances. data infusion improves accuracy estimates by up 16% 24%, respectively, it also relative reference crop fraction anomalies.

Language: Английский

Citations

7
Basin Scale Soil Moisture Estimation with Grid SWAT and LESTKF Based on WSN DOI Creative Commons
Ying Zhang, Jinliang Hou, Chunlin Huang

et al.

Sensors, Journal Year: 2023, Volume and Issue: 24(1), P. 35 - 35

Published: Dec. 20, 2023

This research utilized in situ soil moisture observations a coupled grid Soil and Water Assessment Tool (SWAT) Parallel Data Assimilation Framework (PDAF) data assimilation system, resulting significant enhancements estimation. By incorporating Wireless Sensor Network (WSN) (WATERNET), the method captured integrated local characteristics, thereby improving regional model state estimations. The use of varying observation search radii with Local Error-subspace Transform Kalman Filter (LESTKF) resulted improved spatial temporal performance, while also considering impact uncertainties. best performance (improvement 0.006 m3/m3) LESTKF was achieved 20 km 0.01 m3/m3 standard error. study assimilated wireless sensor network into distributed model, presenting departure from traditional methods. high accuracy resolution capabilities WATERNET’s were crucial, its provision multi-layered temperature presented new opportunities for integration framework, further enhancing hydrological study’s implications are broad relevant to regional-scale water resource management, particularly freshwater scheduling at small basin scales.

Language: Английский

Citations

6