
Comptes Rendus Géoscience, Journal Year: 2023, Volume and Issue: 355(S1), P. 1 - 8
Published: Nov. 24, 2023
Language: Английский
Comptes Rendus Géoscience, Journal Year: 2023, Volume and Issue: 355(S1), P. 1 - 8
Published: Nov. 24, 2023
Language: Английский
Hydrogeology Journal, Journal Year: 2025, Volume and Issue: unknown
Published: Jan. 24, 2025
Language: Английский
Citations
1Theoretical and Applied Climatology, Journal Year: 2023, Volume and Issue: 153(1-2), P. 947 - 974
Published: June 10, 2023
Language: Английский
Citations
21Natural Hazards, Journal Year: 2023, Volume and Issue: 119(3), P. 1941 - 1965
Published: Sept. 21, 2023
Language: Английский
Citations
18Water, Journal Year: 2024, Volume and Issue: 16(3), P. 495 - 495
Published: Feb. 3, 2024
In addition to changes in the amount of rain, land use upstream are considered a factor that directly affects maximum runoff flow basin, especially areas have experienced floods and flash floods. This research article presents application SWAT model assess floods, order analyze proportion change runoff. Study were three basins Thailand (Lam Saphung Basin, Phrom River Chern Basin Part 1, which is sub-basin Nam Chi Basin). study analyzed two main factors influenced river basin by considering simulation situations: (1) affecting assessed maps 2006, 2008, 2010, 2015, 2017, 2019, 2021 when using rainfall data only year for all cases (2) influencing records cases. The results found can be effectively applied estimate annual under eight parameters with R2 values 0.74, 0.82, 0.74 Lam respectively. addition, it was involved from forested residential greatest 2008 2010 1. resulted an increase amounts 77.78% 46.87%, When constant, highest, also had impact on areas.
Language: Английский
Citations
4Cogent Social Sciences, Journal Year: 2025, Volume and Issue: 11(1)
Published: March 17, 2025
Language: Английский
Citations
0Environmental Sciences Europe, Journal Year: 2024, Volume and Issue: 36(1)
Published: Feb. 18, 2024
Abstract Accurate assessment of water resources at the watershed level is crucial for effective integrated management. While semi-distributed/distributed models require complex structures and large amounts input data, conceptual have gained attention as an alternative to modeling. In this paper, performance GR4J model runoff simulation in Gambia Simenti station analyzed over calibration (1981–1990) validation period (1991–2000 2001–2010). The main inputs like are daily precipitation data potential evapotranspiration (PET) measured from same catchment or a nearby location. Calibration these typically performed using Nash–Sutcliffe efficiency with bias penalty objective function. case, calibrated four optimization parameters. To evaluate effectiveness model's predictions, various statistical measures such efficiency, coefficient determination, bias, linear correlation calculated. results obtained indicate satisfactory terms forecast accuracy computational efficiency. (Q) values 0.623 0.711 during (1991–2000), respectively. average annual flow observed 0.385 mm while it increases value 0.603 period. As simulated by model, 0.142 (i.e., delay compared flow), 0.626 excess 0.023 flow). However, study significant because shows changes all metrics sample under different scenarios, especially SSP245 SSP585 scenarios 2021–2100. These suggest downward trend flows, which would pose challenges Therefore, clear that sustainable management substantial adaptation cope changes.
Language: Английский
Citations
3Hydrology, Journal Year: 2024, Volume and Issue: 11(3), P. 34 - 34
Published: Feb. 28, 2024
This study focuses on the Sirba River Basin (SRB), a transboundary West African catchment of 38,950 km2 shared by Burkina Faso and Niger, which contributes to flooding downstream in Niamey (Niger). The uses HEC-HMS hydrological model explore dynamics daily rainfall–runoff relationship over period 2006–2020. is calibrated using observed rainfall at 13 meteorological stations within river basin discharges Garbey Kourou hydrometric station outlet. Two types simulation are compared: (i) continuous (CS) 2006–2020 (ii) an event-based (ES) selected major flood events 2010, 2012, 2013, 2015 2020. results showed satisfactory performance under both modeling schemes (R2 = 0.84–0.87 for CS R2 0.94–0.98 ES), with superior ES CS. Also, significant differences distribution parameters percent impervious attenuation wave factor were observed. A sensitivity analysis revealed that curve number, initial abstraction, lag time routing factors influential outputs. therefore underscores model’s robustness crucial insights control management infrastructure planning SRB.
Language: Английский
Citations
3Journal of Environmental Management, Journal Year: 2024, Volume and Issue: 356, P. 120637 - 120637
Published: March 22, 2024
Language: Английский
Citations
3Environmental Science and Pollution Research, Journal Year: 2024, Volume and Issue: 31(20), P. 29048 - 29070
Published: April 3, 2024
Language: Английский
Citations
3Land, Journal Year: 2023, Volume and Issue: 12(11), P. 2017 - 2017
Published: Nov. 5, 2023
This study assesses the impacts of climate variability on surface runoff generation in Mouhoun River Catchment (MRC) Burkina Faso, West African Sahel. The uses a combination observed and reanalysis data over period 1983–2018 to develop SWAT model (KGE = 0.77/0.89 calibration/validation) further used reconstitute complete time series for runoff. Results show that annual rainfall follow significant upward trend (rainfall: 4.98 mm·year−1, p-value 0.029; runoff: 0.45 m3·s−1·year−1, 0.013). Also, appears be dominant driver (Spearman’s ρ 0.732, < 0.0001), leading at all timescales. Surface is modulated by potential evapotranspiration with quasi-decadal timescales fluctuations, although being less correlated −0.148, 0.386). highlights added value coupling hydrological modeling datasets analyze rainfall–runoff relationship data-scarce poorly gauged environments therefore raises pathways improve knowledge understanding Sahelian hydrosystems.
Language: Английский
Citations
7