Runoff spatiotemporal variability driven by climate change and human activity for the Nianchu River Basin in Southwestern Tibet

被引:0
作者
Yuan, Zhenhuan [1 ]
Liu, Kaifei [2 ,3 ]
Dan, Zeng [4 ]
Gao, Qize [1 ]
Mima, Ciren [3 ]
Lu, Chengpeng [1 ,5 ]
机构
[1] Hohai Univ, Coll Hydrol & Water Resources, Nanjing 210098, Jiangsu, Peoples R China
[2] Shandong Prov Water Resources Dept, Jinan 250013, Shandong, Peoples R China
[3] Rikaze City Water Conservancy Bur, Rikaze City 857000, Tibet, Peoples R China
[4] Rikaze Sub Bur, Hydrol & Water Resources Survey Bur Tibet Autonomo, Rikaze City 857005, Tibet, Peoples R China
[5] Hohai Univ, Natl Key Lab Water Disaster Prevent, Nanjing 210098, Peoples R China
基金
中国国家自然科学基金;
关键词
Stream runoff of Nianchu River; Influencing factors; Climate change; Human activity; Qinghai-Tibet Plateau; GEOGRAPHICALLY WEIGHTED REGRESSION; CHANGE IMPACTS; YELLOW-RIVER; WATER; SURFACE; REGION; IRRIGATION; STREAMFLOW; CATCHMENT; SATELLITE;
D O I
10.1016/j.ejrh.2025.102301
中图分类号
TV21 [水资源调查与水利规划];
学科分类号
081501 ;
摘要
Study Region: Nianchu River Basin (NRB), a key agricultural area on the Tibetan Plateau in China. Study focus: Runoff is recognized as the most important outcome of water resources management, playing a crucial role in both ecology and hydrology. This study analyzes the spatiotemporal variability of runoff in the NRB over the past 48 years and further quantify the impacts of climate conditions, vegetation cover, and irrigation water withdrawal (IWW) on runoff changes. This study aims to improve our understanding of the mechanisms driving runoff changes in alpine mountains. New hydrological insight for the region: The results indicate that the runoff in the NRB has significantly declined by-0.21 mm per decade. The effects of the various influences on runoff are non- stationary at the spatiotemporal scales, with precipitation (Pre) and temperature (Tmp) as the main factors, and Pre consistently contributing the most to changes in runoff until 2002. However, over time, the contribution of Pre has significantly declined. After 2002, the contribution of Tmp gradually became comparable to that of Pre and eventually surpassed it. IWW extraction generally exerts adverse effects, and in areas with poorer vegetation in NRB, NDVI changes significantly impact runoff. Under the context of global warming and increasing human activities, Tmp and IWW have shown a growing adverse impact on basin runoff, offering new insights for water resource management.
引用
收藏
页数:17
相关论文
共 85 条
  • [1] Data Descriptor: TerraClimate, a high-resolution global dataset of monthly climate and climatic water balance from 1958-2015
    Abatzoglou, John T.
    Dobrowski, Solomon Z.
    Parks, Sean A.
    Hegewisch, Katherine C.
    [J]. SCIENTIFIC DATA, 2018, 5
  • [2] Human domination of the global water cycle absent from depictions and perceptions
    Abbott, Benjamin W.
    Bishop, Kevin
    Zarnetske, Jay P.
    Minaudo, Camille
    Chapin, F. S., III
    Krause, Stefan
    Hannah, David M.
    Conner, Lafe
    Ellison, David
    Godsey, Sarah E.
    Plont, Stephen
    Marcais, Jean
    Kolbe, Tamara
    Huebner, Amanda
    Frei, Rebecca J.
    Hampton, Tyler
    Gu, Sen
    Buhman, Madeline
    Sayedi, Sayedeh Sara
    Ursache, Ovidiu
    Chapin, Melissa
    Henderson, Kathryn D.
    Pinay, Gilles
    [J]. NATURE GEOSCIENCE, 2019, 12 (07) : 533 - +
  • [3] Comparison of Interpolation Methods for Spatial Distribution of Monthly Precipitation in the State of Pernambuco, Brazil
    Alves da Silva, Antonio Samuel
    Stosic, Borko
    Cezar Menezes, Romulo Simoes
    Singh, Vijay P.
    [J]. JOURNAL OF HYDROLOGIC ENGINEERING, 2019, 24 (03)
  • [4] Land use and climate change impacts on runoff and soil erosion at the hillslope scale in the Brazilian Cerrado
    Anache, Jamil A. A.
    Flanagan, Dennis C.
    Srivastava, Anurag
    Wendland, Edson C.
    [J]. SCIENCE OF THE TOTAL ENVIRONMENT, 2018, 622 : 140 - 151
  • [5] Changes in Headwater Streamflow from Impacts of Climate Change in the Tibetan Plateau
    Bao, Zhenxin
    Zhang, Jianyun
    Lian, Yanqing
    Wang, Guoqing
    Jin, Junliang
    Ning, Zhongrui
    Zhang, Jiapeng
    Liu, Yanli
    Wang, Xiaojun
    [J]. ENGINEERING, 2024, 34 : 133 - 142
  • [6] Global evaluation of runoff from 10 state-of-the-art hydrological models
    Beck, Hylke E.
    van Dijk, Albert I. J. M.
    de Roo, Ad
    Dutra, Emanuel
    Fink, Gabriel
    Orth, Rene
    Schellekens, Jaap
    [J]. HYDROLOGY AND EARTH SYSTEM SCIENCES, 2017, 21 (06) : 2881 - 2903
  • [7] Assessment on the Effect of Climate Change on Streamflow in the Source Region of the Yangtze River, China
    Bian, Huanqing
    Lu, Haishen
    Sadeghi, Ali M.
    Zhu, Yonghua
    Yu, Zhongbo
    Ouyang, Fen
    Su, Jianbin
    Chen, Rensheng
    [J]. WATER, 2017, 9 (01)
  • [8] A Global Analysis of Future Water Deficit Based On Different Allocation Mechanisms
    Bijl, David L.
    Biemans, Hester
    Bogaart, Patrick W.
    Dekker, Stefan C.
    Doelman, Jonathan C.
    Stehfest, Elke
    van Vuuren, Detlef P.
    [J]. WATER RESOURCES RESEARCH, 2018, 54 (08) : 5803 - 5824
  • [9] Incorporating spatial variation in housing attribute prices: a comparison of geographically weighted regression and the spatial expansion method
    Bitter, Christopher
    Mulligan, Gordon F.
    Dall'erba, Sandy
    [J]. JOURNAL OF GEOGRAPHICAL SYSTEMS, 2007, 9 (01) : 7 - 27
  • [10] Effects of active layer seasonal dynamics and plant phenology on CO2 land-atmosphere fluxes at polygonal tundra in the High Arctic, Svalbard
    Cannone, N.
    Ponti, S.
    Christiansen, H. H.
    Christensen, T. R.
    Pirk, N.
    Guglielmin, M.
    [J]. CATENA, 2019, 174 : 142 - 153