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Advances in separating effects of climate variability and human activity on stream discharge: An overview

期刊

ADVANCES IN WATER RESOURCES
卷 71, 期 -, 页码 209-218

出版社

ELSEVIER SCI LTD
DOI: 10.1016/j.advwatres.2014.06.007

关键词

Budyko hypothesis; Evapotranspiration; Hydrologic modeling; Precipitation; Step change; Trend detection

资金

  1. Chinese Ministry of Education Innovation Team Building Program'' Cold-Arid Region Hydrological Processes and Ecoenvironmental Responses [IRT13069]
  2. National Natural Science Foundation of China (NSFC) Basic Research Program: Hydrological Processes and Ecological Responses [51139002]
  3. Inner Mongolia Agricultural University (IMAU) Innovation Team Building Program Cold-Arid Region Water Resources Utilization [NDTD2010-6]
  4. Inner Mongolia Autonomous Region Science and Technology Bureau's Major Basic Research Open Project [206202057]
  5. Old Dominion University (ODU) [5CEC3]
  6. IMAU [5CEC3]
  7. research project of the Inner Mongolia Autonomous Region Water Resources Department

向作者/读者索取更多资源

Separating effects of climate change (Delta Q(c)) and human activity (Delta Q(h)) on stream discharge at the watershed scale is needed for developing adaptive measures to climate change. However, information is scarce in existing literature regarding whether such separating is feasible and whether reliable results can be produced. The objectives of this overview were to: (1) compare currently-used methods; (2) assess assumptions and issues of the methods; and (3) present a generic framework that overcomes possible issues. Based on the overview of fifteen recent representative studies, two methods can be used to estimate absolute magnitudes of Delta Q(c) and Delta Q(h), while another method can be used to distinguish relative magnitudes of Delta Q(c) versus Delta Q(h) only. Because the methods' fundamental assumptions about baseline versus altered period, water storage change and deep groundwater loss, precipitation-runoff relationship, hysteresis influence of human activity, and record of time series can seldom be satisfied for many watersheds, it is more realistic and practical to distinguish relative effects than to estimate absolute magnitudes of Delta Q(c) and Delta Q(h). Moreover, a generic framework was presented for gauged watersheds with negligible groundwater loss, aiming to avoid misuse of the methods in practice. (C) 2014 Elsevier Ltd. All rights reserved.

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