Case Studies
Jun 25, 2020

Quantifying the Impacts of Climate Change and Human Activities on Runoff Variation: Case Study of the Upstream of Minjiang River, China

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Publication: Journal of Hydrologic Engineering
Volume 25, Issue 9

Abstract

Quantifying the impacts of climate change and human activities on runoff variation has drawn considerable concern. In this study, a modified method of slope change ratio of accumulative quantity (modified SCRAQ) has been proposed to estimate the contributions of climate change and human activities on runoff variation. The variation characteristics of hydrometeorological series were detected in the upstream of Minjiang River (UMR), China, during 1960–2012 using the Mann-Kendall test. The contributions of climate change and human activities on runoff variation in the UMR were estimated using the double mass curve method and modified SCRAQ method. The results showed that annual precipitation of the UMR had an insignificant decreasing trend, annual mean temperature presented a significant increasing trend, and annual runoff exhibited a significant decreasing trend. The years of 1969 and 1995 are taken as representative abrupt change points; the total study period was divided into the natural period (1960–1969) and change period (1970–2012), which includes 1970–1995 and 1996–2012. Precipitation caused the decrease of runoff except for the change period of 1970–1995; mean temperature led to the increase of runoff in each change period. Furthermore, runoff in the UMR was more sensitive to variation of mean temperature than that of precipitation. Under their combined influence, climate change resulted in the increase of runoff; human activities (e.g., agriculture irrigation, deforestation and afforestation, and urban water supply, as well as the construction of large reservoirs and dams) caused the runoff reduction. Overall, the impacts of climate change and human activities on runoff varied differently in the UMR, and human activities were the main driving factor leading to runoff variation. The results in this study can provide necessary information for water resources management in the UMR.

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Data Availability Statement

The data used in the study are available from the corresponding author by request.

Acknowledgments

This research has been supported by National Nature Science Foundation of China (Nos. 51679155 and 41830863) and National Key Research and Development Program of China (No. 2016YFA0601501). The editors and anonymous reviewers are gratefully acknowledged for providing valuable comments on the earlier version of this paper.

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Go to Journal of Hydrologic Engineering
Journal of Hydrologic Engineering
Volume 25Issue 9September 2020

History

Received: Aug 21, 2019
Accepted: Apr 21, 2020
Published online: Jun 25, 2020
Published in print: Sep 1, 2020
Discussion open until: Nov 25, 2020

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Shuqi Liang [email protected]
Ph.D. Candidate, School of Water Resource and Hydropower, Sichuan Univ., Chengdu 610065, China. Email: [email protected]
Wensheng Wang [email protected]
Professor, School of Water Resource and Hydropower, Sichuan Univ., Chengdu 610065, China; Professor, State Key Laboratory of Hydraulics and Mountain River Engineering, Sichuan Univ., Chengdu 610065, China (corresponding author). Email: [email protected]
Ph.D. Candidate, School of Water Resource and Hydropower, Sichuan Univ., Chengdu 610065, China. Email: [email protected]
Researcher, Chengdu Institute of Plateau Meteorology, China Meteorological Administration, Chengdu 610072, China. Email: [email protected]
Professor, State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Nanjing Hydraulic Research Institute, Nanjing 210029, China. ORCID: https://orcid.org/0000-0002-9121-9571. Email: [email protected]

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