Zobrazeno 1 - 10
of 36
pro vyhledávání: '"snowmelt runoff model (srm)"'
Publikováno v:
Hydrology Research, Vol 52, Iss 6, Pp 1389-1404 (2021)
In this study, the snowmelt runoff model (SRM) was employed to estimate the effect of snow on the surface flow of Aji-Chay basin, northwest Iran. Two calibration techniques were adopted to enhance the calibration. The multi-station calibration (MSC)
Externí odkaz:
https://doaj.org/article/2dee4d72b2064714b516e0bbe03a3714
Publikováno v:
Environmental Challenges, Vol 8, Iss , Pp 100585- (2022)
Snow sustains Himalayan rivers as an abundant source of water. Although, seasonal snow cover is the significant parameter in a hydrological system of a basin, its contribution is restricted to the spring season when snow-melt and base-flow comprise t
Externí odkaz:
https://doaj.org/article/3c10cafe94af48bda55dba27d6113339
Publikováno v:
Journal of Hydrology: Regional Studies, Vol 41, Iss , Pp 101107- (2022)
Study region: the Jingou River basin (located in central Xinjiang, China). Study focus: Estimating snowmelt runoff in alpine areas lacking monitoring stations is essential for water resource management. The newly released global precipitation measure
Externí odkaz:
https://doaj.org/article/ed96e619fdc3403cb666cac42eefa93e
Publikováno v:
International Journal of Digital Earth, Vol 12, Iss 8, Pp 910-930 (2019)
Pakistan is an agriculture-based economy and major proportion of irrigation water for its cultivated lands is abstracted from the Upper Indus Basin (UIB). UIB water supplies are mostly contributed from the high-altitude snow and glacier fields situat
Externí odkaz:
https://doaj.org/article/a49adaa7f1c8430eaf16bb1f8ba43b5a
Autor:
Shalamu Abudu, Zhu-ping Sheng, Chun-liang Cui, Muatter Saydi, Hamed-Zamani Sabzi, James Phillip King
Publikováno v:
Water Science and Engineering, Vol 9, Iss 4, Pp 265-273 (2016)
This study assessed the performances of the traditional temperature-index snowmelt runoff model (SRM) and an SRM model with a finer zonation based on aspect and slope (SRM + AS model) in a data-scarce mountain watershed in the Urumqi River Basin, in
Externí odkaz:
https://doaj.org/article/02cfb849caa7482293ab93311432ca62
Autor:
Elmer Calizaya, Abel Mejía, Elgar Barboza, Fredy Calizaya, Fernando Corroto, Rolando Salas, Héctor Vásquez, Efrain Turpo
Publikováno v:
Instituto Nacional de Innovación Agraria
INIA-Institucional
instacron:INIA
Repositorio Institucional-INIA
Water; Volume 13; Issue 24; Pages: 3535
Water, Vol 13, Iss 3535, p 3535 (2021)
INIA-Institucional
instacron:INIA
Repositorio Institucional-INIA
Water; Volume 13; Issue 24; Pages: 3535
Water, Vol 13, Iss 3535, p 3535 (2021)
16 páginas Effects of climate change have led to a reduction in precipitation and an increase in temperature across several areas of the world. This has resulted in a sharp decline of glaciers and an increase in surface runoff in watersheds due to s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9a7a7b967758fffb491ed03263382928
Publikováno v:
Water Science and Engineering, Vol 1, Iss 4, Pp 1-13 (2008)
This study simulated and predicted the runoff of the Aksu River Basin, a typical river basin supplied by snowmelt in an arid mountain region, with a limited data set and few hydrological and meteorological stations. Two hydrological models, the snowm
Externí odkaz:
https://doaj.org/article/faadc51a261243fead9ae4a1171553a5
Akademický článek
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Runoff Projection from an Alpine Watershed in Western Canada: Application of a Snowmelt Runoff Model
Publikováno v:
Water, Vol 13, Iss 1199, p 1199 (2021)
Water
Volume 13
Issue 9
Water
Volume 13
Issue 9
The rising global temperature is shifting the runoff patterns of snowmelt-dominated alpine watersheds, resulting in increased cold season flows, earlier spring peak flows, and reduced summer runoff. Projections of future runoff are beneficial in prep
Investigation of techniques for improvement of seasonal streamflow forecasts in the Upper Rio Grande
Autor:
Lee, Song-Weon
The purpose of this dissertation is to develop and evaluate techniques for improvement of seasonal streamflow forecasts in the Upper Rio Grande (URG) basin in the U.S. Southwest. Three techniques are investigated. The first technique is an investigat
Externí odkaz:
http://hdl.handle.net/1969.1/2764