2018
DOI: 10.1029/2018jd028423
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How Hydrologic Processes Differ Spatially in a Large Basin: Multisite and Multiobjective Modeling in the Tarim River Basin

Abstract: Water resources are essential to ecosystems and social economies worldwide, especially in the deserts and oases of the Tarim River Basin, whose water originates largely from alpine mountains characterized by complicated hydrological processes and scarce hydrometeorological observations. This paper presents multisite and multiobjective modeling of hydrological processes in the whole Tarim River Basin, covering 32 catchments in total. The study uses the Soil and Water Assessment Tool, extended by incorporating a… Show more

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Cited by 41 publications
(30 citation statements)
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“…This approach of grouped response units is also called a semi-distributed approach. In large catchments, a first division is often done by creating sub-catchments, before HRU or elevation zones are defined (e.g., Adnan et al, 2019;Fang et al, 2018). In both discretization cases, the spatial resolution of the model is determined by the grid cell size (e.g., 25 m in Huss et al (2008) and $8 km in Zhang et al (2013)), or the HRU size or other model units.…”
Section: Glacio-hydrological Models and Scalesmentioning
confidence: 99%
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“…This approach of grouped response units is also called a semi-distributed approach. In large catchments, a first division is often done by creating sub-catchments, before HRU or elevation zones are defined (e.g., Adnan et al, 2019;Fang et al, 2018). In both discretization cases, the spatial resolution of the model is determined by the grid cell size (e.g., 25 m in Huss et al (2008) and $8 km in Zhang et al (2013)), or the HRU size or other model units.…”
Section: Glacio-hydrological Models and Scalesmentioning
confidence: 99%
“…However, Frans et al (2016) argue that manual calibration was used because of spatial and temporal inconsistencies in the observed data. Regarding automatic calibration techniques, in the reviewed studies around 15 studies used a Monte Carlo approach, and around 30 used a more sophisticated algorithm such as the SCE-UA algorithm (Chen et al, 2017), ε-NSGAII (e.g., Duethmann et al, 2015;Fang et al, 2018), a combination of evolutionary and steepest gradient descent algorithm (Jost et al, 2012), or GAP (Meyer et al, 2019).…”
Section: Calibration Techniquesmentioning
confidence: 99%
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“…The contribution of snow-glacier meltwater to runoff is up to 45%, with precipitation accounting for about 33.1% [80]. For the Toxkan River, glacier meltwater accounts for only about 21.3% of the total annual runoff [81], with the rest coming from snow meltwater (26.7%) [82] and rainfall [26], while for the Kumalak River, glacier meltwater makes up around 54%~58.65% of the runoff [81,83,84]. runoff [81], with the rest coming from snow meltwater (26.7%) [82] and rainfall [26], while for the Kumalak River, glacier meltwater makes up around 54%~58.65% of the runoff [81,83,84].…”
Section: Research Areamentioning
confidence: 99%
“…The drainage network in the basin consists of the main stream of the Tarim River and 144 drainage systems associated with nine major tributary basins: the Yarkand River, the Aksu River, the Kaidu-Kongque River, the Hotan River, the Kaxgar River, the Weigan River, the Dina River, the Keriya River, and the Qarqan River. The tributaries to the main stream of the Tarim River form a centripetal shape around the Tarim Basin [25]. The Tarim River is a dissipative inland river whose runoff is mainly supplied by meltwater from glaciers and snow.…”
Section: Study Areamentioning
confidence: 99%