Zobrazeno 1 - 10
of 1 902
pro vyhledávání: '"RAINFALL-RUNOFF MODEL"'
Autor:
Netrananda Sahu, Suraj Kumar Mallick, Pritiranjan Das, Atul Saini, Takahiro Sayama, Ayush Varun, Anil Kumar, Ravi Kesharwani, Pawan Kumar Thakur
Publikováno v:
Geomatics, Natural Hazards & Risk, Vol 15, Iss 1 (2024)
Due to climate change the drop in spring-water discharge poses a serious issue in the Himalayan region, especially in the higher section of Himachal Pradesh. This study used different climatic factors along with long-term rainfall data to understand
Externí odkaz:
https://doaj.org/article/1406f992ea8445acac8482648c43e3b7
Publikováno v:
Applied Water Science, Vol 14, Iss 5, Pp 1-17 (2024)
Abstract Prediction of rainfall-runoff process, peak discharges, and finally flood hydrograph is essential for flood risk management and river engineering projects. In most previous studies in this field, the precipitation rates have been entered int
Externí odkaz:
https://doaj.org/article/efa9ce1dc22a4ac98ba688e32132d5c5
Autor:
Oumar Jaffar, Abdessamad Hadri, El Mahdi El Khalki, Khaoula Ait Naceur, Mohamed Elmehdi Saidi, Yves Tramblay, Abdelghani Chehbouni
Publikováno v:
Journal of Hydrology: Regional Studies, Vol 54, Iss , Pp 101899- (2024)
Study region: 30 catchments in Morocco. Study focus: We assessed the KGE performance of eight monthly lumped hydrological models forced by ground-based rainfall observations. We then examined how the performance relates to model complexity and struct
Externí odkaz:
https://doaj.org/article/2e9211e61a914782bdaf9e94a2e9ddd9
Publikováno v:
Journal of Hydrology and Hydromechanics, Vol 72, Iss 1, Pp 131-147 (2024)
This study investigates the performance of two lumped hydrological models, BILAN and GR2M, in simulating runoff across six catchments in the Gambia River Basin (Senegal) over a 30-year period employing a 7-year sliding window under different climatic
Externí odkaz:
https://doaj.org/article/b830f40a1fa64385b3f71aae47794456
Publikováno v:
Water Science and Technology, Vol 89, Iss 2, Pp 368-381 (2024)
The advancement of data-driven models contributes to the improvement of estimating rainfall–runoff models due to their advantages in terms of data requirements and high performance. However, data-driven models that rely solely on rainfall data have
Externí odkaz:
https://doaj.org/article/fbf03763a19541a4ba29e844b21f490e
Autor:
Getahun Kebede Mengistie, Alemseged Tamiru Haile, Greg O'Donnell, Ephrem Derso Negash, Tilaye Worku Bekele, Hailay Zeray Tedla
Publikováno v:
Journal of Hydrology: Regional Studies, Vol 53, Iss , Pp 101822- (2024)
Study region: Akaki is a headwater catchment of the Awash River Basin in Ethiopia and hosts Addis Ababa. The catchment remains ungauged despite providing diverse ecosystem services. Study focus: Studies typically assume that calibrated model paramete
Externí odkaz:
https://doaj.org/article/45c358f610e246a5bb1598e32fb401bc
Publikováno v:
Journal of Hydrology: Regional Studies, Vol 53, Iss , Pp 101742- (2024)
Study region: Five catchments in upstream Choshui River Basin, Taiwan. Study focus: Inter-catchment groundwater flow (IGF)is commonly assumed negligible role in a catchment water balance due to its obscure nature. Many studies required detailed on-si
Externí odkaz:
https://doaj.org/article/c31c05821b6e47b0900aeff7fa8b0c6d
Publikováno v:
Computational Engineering and Physical Modeling, Vol 7, Iss 2 (2024)
Accurate estimation of runoff at a specific location in a basin helps in optimizing different water resource systems. This process is complex and nonlinear in nature owing mostly to the random nature of its most important parameter that is ‘rainfal
Externí odkaz:
https://doaj.org/article/ba74f486da514907b7bfd25f24d48332