Evaluating hydrological responses of satellite precipitation products over an Indian tropical catchment through a distributed physical model DOI
Praveen Kalura, Ashish Pandey, V. M. Chowdary

et al.

Hydrological Processes, Journal Year: 2024, Volume and Issue: 38(9)

Published: Sept. 1, 2024

Abstract Significant advancements in satellite‐based precipitation retrieval algorithms have led to the development of continuous, quasi‐global products, offering unique opportunities for hydrometeorological and climate research. In this context, six products (SPPs), including CHIRPS, CMORPH, GSMaP, IMERG, MSWEP, PERSIANN, were thoroughly investigated their application hydrological simulations over Wardha River basin India. The observed gridded product developed by India Meteorological Department (IMD) has been used as reference data evaluate performance SPPs. Hydrological variables such runoff, soil moisture (SM) evapotranspiration (ET) simulated using Variable Infiltration Capacity model. performances SPPs are critically assessed various statistical metrics, Pearson's correlation coefficient ( R ), Klinga‐Gupta Efficiency (KGE), Percent Bias (PBIAS), root mean square error (RMSE), RMSE standard deviation ratio (RSR). model‐simulated discharge was compared with streamflow observations at a single gauging site, while spatially distributed comparison conducted between SM ET ET. IMD dataset consistently shows superior simulation both daily monthly scales, KGE values 0.85 0.91, respectively. Among SPPs, MSWEP CHIRPS excel simulating discharge, For simulation, outperforms other achieving an overall value 0.37. contrast, PERSIANN is most effective products.

Language: Английский

Do land models miss key soil hydrological processes controlling soil moisture memory? DOI Creative Commons
Mohammad Ali Farmani, Ali Behrangi, Aniket Gupta

et al.

Hydrology and earth system sciences, Journal Year: 2025, Volume and Issue: 29(2), P. 547 - 566

Published: Jan. 29, 2025

Abstract. Soil moisture memory (SMM), which refers to how long a perturbation in soil (SM) can last, is critical for understanding climatic, hydrological, and ecosystem interactions. Most land surface models (LSMs) tend overestimate its persistency (or SMM), sustaining spuriously large evaporation during dry-down periods. We attempt answer question: do LSMs miss or misrepresent key hydrological processes controlling SMM? use version of Noah-MP with advanced hydrology that explicitly represents preferential flow ponding provides optional schemes hydraulics. test the effects these processes, are generally missed by most SMM. compare SMMs computed from various configurations against derived Moisture Active Passive (SMAP) L3 situ measurements International Network (ISMN) years 2015 2019 over contiguous United States (CONUS). The results suggest (1) hydraulics plays dominant role Van Genuchten hydraulic scheme reduces overestimation long-term SMM produced Brooks–Corey scheme, commonly used LSMs; (2) representing enhances both layer root zone; (3) improves overall representation dynamics. combination missing significantly improve short-term underestimation issues LSMs. seasonal-to-subseasonal climate prediction should, at least, adopt scheme.

Language: Английский

Citations

0
Estimation of standardized flow Duration curve for gauged and ungauged basins DOI

Pegah Palizban,

Banafsheh Zahraie, Neda Dolatabadi

et al.

Journal of Hydrology, Journal Year: 2025, Volume and Issue: unknown, P. 132787 - 132787

Published: Feb. 1, 2025

Language: Английский

Citations

0
Quantifying basin water balance considering water-economic society-ecology nexus DOI
Qingsong Wu, Qiting Zuo,

L. P. Zhang

et al.

Journal of Hydrology, Journal Year: 2025, Volume and Issue: unknown, P. 133067 - 133067

Published: March 1, 2025

Language: Английский

Citations

0
Assessing the Effects of Climate Change and Land‐Use Changes on Extreme Discharge in the Western Watershed of Lake Urmia, Iran DOI Creative Commons
Ghasem Farahmand, Behzad Hessari, Hossein Salehi

et al.

Journal of Flood Risk Management, Journal Year: 2025, Volume and Issue: 18(2)

Published: April 3, 2025

ABSTRACT This study investigates the impacts of climate change and land‐use changes on peak discharge runoff behavior in western watersheds Lake Urmia, Iran. Employing machine learning algorithms (e.g., SVM), stochastic models CA‐MARKOV), ERA5 reanalysis data, large‐scale hydrological VIC model, we assessed these effects across multiple sub‐basins. Our analysis revealed that a 2°C rise average minimum winter temperature over past 50 years has reduced frost days by nearly 80 days, diminished mountain snow volume, shifted precipitation from to mix snow, rain, snowmelt. Consequently, timing advanced May March April, amplifying flood intensity frequency, with some sub‐basins showing up 30% higher flows. Furthermore, assessments indicated expanding orchards irrigated rain‐fed agricultural lands will significantly elevate future discharge, differences exceeding 10 m 3 /s like Nazlochay Barandozchay, driven infiltration increased rates. Modeling tools confirmed synergistically alter dynamics, pattern consistent regional studies. These findings underscore urgent need integrate factors into management strategies for this flood‐prone region, offering robust framework sub‐basin‐scale planning.

Language: Английский

Citations

0
Future flood susceptibility mapping under climate and land use change DOI Creative Commons

Hamidreza Khodaei,

Farzin Nasiri Saleh,

Afsaneh Nobakht Dalir

et al.

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: April 11, 2025

Language: Английский

Citations

0
Improved evapotranspiration estimation using the Penman-Monteith equation with a deep learning (DNN) model over the dry southwestern US: Comparison with ECOSTRESS, MODIS, and OpenET DOI
Muhammad Jawad, Ali Behrangi, Mohammad Ali Farmani

et al.

Journal of Hydrology, Journal Year: 2025, Volume and Issue: unknown, P. 133460 - 133460

Published: May 1, 2025

Language: Английский

Citations

0
Quantitatively linking ecosystem service functions with soil moisture and ecohydrology regimes in watershed DOI
Lintong Huang, Hongxiang Wang,

Huifeng Liu

et al.

The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 955, P. 176866 - 176866

Published: Oct. 16, 2024

Language: Английский

Citations

3
An urban module coupled with the Variable Infiltration Capacity model to improve hydrothermal simulations in urban systems DOI Creative Commons
Yibing Wang, Xianhong Xie, Bowen Zhu

et al.

Geoscientific model development, Journal Year: 2024, Volume and Issue: 17(15), P. 5803 - 5819

Published: Aug. 2, 2024

Abstract. Global urban expansion has altered surface aerodynamics and hydrothermal dynamics, aggravating environmental challenges such as heat dry islands. To identify responses, various physical models, including canyon models (UCMs) land (LSMs), have been developed to represent processes. However, UCMs often treat a city unified entity overlook subcity heterogeneity. LSMs are generally designed for natural cover types lack the capability capture characteristics. address these limitations, aim of this study is couple an module with sophisticated LSM, i.e. Variable Infiltration Capacity (VIC) model. This coupled model, VIC-urban characterized by its ability coordinate certain critical features, geometry, radiative interactions, human impacts. Adopting Beijing evaluation site, model shows higher performance than original version, excellent accuracy in simulating sensible heat, latent runoff, temperature (LST). The absolute error smaller 25 % 12 30 LST respectively, which indicates that can effectively simulate hydrological thermal fluxes systems. Sensitivity analysis reveals roof emissivity interception capacity exert greatest impact on evaporation height-to-width ratio influence canyon. Our work introduces reliable option large-scale simulations accounts environments among first attempts establish systematic modelling framework VIC enables urbanization-induced changes quantification variations different configurations. proposed thus offer invaluable insights planners landscape designers.

Language: Английский

Citations

2
Fracture toughness of alkali-activated concrete subjected to aggressive environment DOI

Behnam Ziamiavaghi,

Vahab Toufigh

Construction and Building Materials, Journal Year: 2024, Volume and Issue: 451, P. 138796 - 138796

Published: Oct. 21, 2024

Language: Английский

Citations

2
Research on Flood Storage and Disaster Mitigation Countermeasures for Floods in China’s Dongting Lake Area Based on Hydrological Model of Jingjiang–Dongting Lake DOI Open Access

Wengang Zhao,

Weizhi Ji, Jiahu Wang

et al.

Water, Journal Year: 2024, Volume and Issue: 17(1), P. 1 - 1

Published: Dec. 24, 2024

China’s Dongting Lake area is intertwined with rivers and lakes possesses many water systems. As such, it one of the most complicated areas in Yangtze River Basin, terms complexity its flood control. Over time, siltation reclamation lake have greatly weakened river discharge capacity area, whether can endure extreme floods remains an open question. there no effective scenario simulation model for this study constructs a hydrological Jingjiang–Dongting system verifies using data from 11 typical occurring 1954 to 2020. The parameters derived 2020 reflect latest relationship between river, while meteorological 1998 are used as inputs various scenarios aim evaluating pressure levels at Chengglingji Luoshan stations indicators. preliminary results demonstrate that operation upstream Three Gorges Dam storage cannot completely offset faced by area. Therefore, reinforcement raising embankments should be carried out, order cope potential events. methodology reference value policy formation, control, assessment dispatching similar areas.

Language: Английский

Citations

1