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Sökning: WFRF:(He Tianhao)

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1.
  • Ni, Jingwen, et al. (författare)
  • 天山典型流域水文多要素模拟与气候变化影响预估
  • 2023
  • Ingår i: Journal of Glaciology and Geocryology. - 1000-0240. ; 45:6, s. 1875-1886
  • Tidskriftsartikel (refereegranskat)abstract
    • Because of varied topography and landscape heterogeneity,Tianshan Mountain has extremely complex hydrological processes. Considering that the climate change poses a great threat to the water security,it’s necessary to simulate the change of water elements quantitatively and systematically along with elevation. In this study,we applied the modified FLEXG-Δh model to four classic river basins in Tianshan Mountain in consideration of glacier area changes. The results suggested that:(1)FLEXG-Δh model has high simulation accuracy for the historical runoff process because the average Kling-Gupta coefficient(IKGE)in calibration is 0. 75 and IKGE in validation is 0. 60. (2)Precipitation increases along with elevation while runoff and evaporation increase first but then decreased,with the maximum values at 4 000 m and 2 000 m respectively. The height zone with the greatest runoff is mainly affected by the glacier cover,while it is the distribution of forest for the greatest evaporation. (3)By 2100,the glaciers at low altitudes will melt significantly,while there will be a little melting above 4 500 m. Under SSP1-RCP2. 6 and SSP5-RCP8. 5 scenarios,145 and 222 glaciers will completely melt and the volume of glaciers will decrease 1. 81×104 km3(54% of the existing glaciers)and 2. 44×104 km3(73% of the existing glaciers),respectively. In the SSP5-RCP8. 5 scenario,the rise of temperature will increase the evap⁃ oration but lead to the fact that the runoff depth will decrease 0. 16~1. 40 mm·a-1 below 4 000 m and increase 0. 20~0. 67 mm·a-1 above 4 000 m ,causing the height of peak value will go up by about 500 m. Under SSP1-RCP2. 6 scenario,there will be few obvious changes. This study presented the vertical zonal law of hydrology and vegetation,and predicted the impact of global changes on the Tianshan Mountains,which provided theoreti⁃ cal support for water utilization and sustainable development.
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2.
  • Xi, Qiaojuan, et al. (författare)
  • 中国主要流域灰-绿-蓝蓄水能力时空演变 : [Spatio-temporal variation of gray-green-blue storage capacity in nine major basins of China]
  • 2021
  • Ingår i: Chinese Science Bulletin-Chinese. - 0023-074X .- 2095-9419. ; 66:34, s. 4437-4448
  • Tidskriftsartikel (refereegranskat)abstract
    • Most of China's territory is influenced by the East Asia monsoon, and thus, the spatio-temporal distribution of surface water resources in China is extremely uneven, causing many water-related issues, e.g.. water scarcity and flooding. As the basis and essential condition of economic and social development, water-related infrastructures provide the material basis and guarantee for regulating and storing surface water resources and solving multi-dimensional water problems. The infrastructures that play an important role in surface water resource regulation and storage mainly include three types: Gray (such as dams), green (such as forests), and blue infrastructures (such as lakes). Gray infrastructures can reduce the flood peak and increase water supply during dry seasons by regulating and storing water so that the seasonal and inter-annual fluctuation of runoff is reduced, which plays an important role in water storage, water supply, flood control, and disaster mitigation. However, excessive gray infrastructures would have adverse effects on the social economy and environmental ecology. Unlike gray infrastructures, green and blue infrastructures can not only benefit water resource management but also have ecological functions, such as improving water quality and enhancing ecosystem services. Thus. it is significant to couple gray, green, and blue infrastructures to regulate the spatio-temporal distribution of water resources. However, research on the spatial distribution and temporal variation of water storage capacity is still lacking, which hinders the coordinated regulation and comprehensive management of surface water resources. Therefore, in the present study, the spatio-temporal distribution of the three aforementioned infrastructures was compared and analyzed on basin scale, based on the latest data of darns, root zone storage capacity, natural lakes, and so on. Results indicated the following: (1) Gray water storage capacity has exceeded that of the natural terrestrial surface ecosystem in the Yangtze River Basin and the Southeast Basins, where human activities are intense. (2) Gray water storage capacity has increased significantly in nine major basins from 1955 to 2020, but the timing of construction varies in different basins. (3) Green water storage capacity did not change much, the Songhua-Liaohe River Basin and the Huaihe River Basin increased slightly. (4) Blue water storage capacity shows a constantly increasing trend on the whole, in which the water storage capacity in the inland river basin (including the endorheic basin on the Tibetan Plateau) significantly increased. Our study revealed the basic information and spatio-temporal variation of gray-green-blue water storage capacities in nine major basins of China, which could lead to better coordination between natural and artificial water infrastructures and provide support for multidimensional optimization of water resource allocation.
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