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Decomposition and Attribution Analysis of Runoff Alteration of the Dongting Lake in China

State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University, Wuhan 430072, China
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Water 2020, 12(10), 2729; https://doi.org/10.3390/w12102729
Received: 2 September 2020 / Revised: 24 September 2020 / Accepted: 25 September 2020 / Published: 30 September 2020
(This article belongs to the Section Hydrology and Hydrogeology)
The runoff process in the Dongting Lake has been influenced by climate change and human activities in recent decades. To manage the Dongting Lake efficiently and exploit water resources properly under the background of water shortage, it is desired to detect the factors of runoff change in the Dongting Lake. Hydro-meteorological data from 1961 to 2019 are analyzed to reveal the climate change and runoff alteration of the Dongting Lake comprehensively. Mutation test is used to detect the change points of runoff depth series, finding that 1984 and 2005 are change points and therefore 1961–1983, 1984–2004, and 2005–2019 are regarded as baseline period (BP), period 1 (P1), and period 2 (P2), respectively. Eight methods are used to quantitatively assess the relative contribution of human activities and climate change on runoff variation. It reveals that climate change especially precipitation change plays the dominant role (climate change makes runoff depth increase 70.14–121.51 mm, human activities make runoff depth decrease 51.98–103.35 mm) in runoff alteration in P1 while human activities play a prime role (account for 88.47–93.17%) in P2. Human activities such as reservoir construction, water consumption, and land-use (land-cover) change may be the main factors that influence the runoff in the Dongting Lake in P2. According to the sensitivity analysis, runoff in the Dongting Lake is more sensitive to climate change in P2 compared with that in P1, and no matter in P1 or P2, runoff is more sensitive to change in precipitation than the change in potential evapotranspiration. Combined with climate forecast, the results of sensitivity analysis can be used to estimate runoff change caused by climate change in the future. View Full-Text
Keywords: climate change; human activities; Dongting Lake; statistic method; Budyko-based method; sensitivity analysis climate change; human activities; Dongting Lake; statistic method; Budyko-based method; sensitivity analysis
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Huang, Y.; Yu, M.; Tian, H.; Liu, Y. Decomposition and Attribution Analysis of Runoff Alteration of the Dongting Lake in China. Water 2020, 12, 2729.

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