Impact Assessments of Rainfall–Runoff Characteristics Response Based on Land Use Change via Hydrological Simulation
Minmin Zhou 1,3, Simin Qu 1,2
, Xueqiu Chen 2, Peng Shi 1,2,*, Shijin Xu 4, Hongyu Chen 4, Huiyan Zhou 2 and Jianfeng Gou 2
, Xueqiu Chen 2, Peng Shi 1,2,*, Shijin Xu 4, Hongyu Chen 4, Huiyan Zhou 2 and Jianfeng Gou 2
1
State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University, Nanjing 210098, China
2
College of Hydrology and Water Resources, Hohai University, Nanjing 210098, China
3
Hohai University Design Institude CO., Ltd. Shanghai Branch, Shanghai 200000, China
4
Hydrological Bureau, The Huai River Commission of the Ministry of Water Resources, Bengbu 233040, China
*
Author to whom correspondence should be addressed.
Water 2019, 11(4), 866; https://doi.org/10.3390/w11040866
Received: 22 January 2019 / Revised: 19 April 2019 / Accepted: 20 April 2019 / Published: 25 April 2019
(This article belongs to the Special Issue Water Related Disaster and Water Environment Management)
Abstract
The hydrology response was studied considering the established fact of land use change in Dapoling basin. The whole period was divided into two (1965–1985 and 1986–2012) according to the major land use and land cover change in this region. Xinanjiang model was used to simulate discharge data in the two periods. The hydrologic response to the change could be evaluated by inspecting the response of model parameters and flood elements. The results show that the lag time varied, and the hydrologic elements including the mean runoff depth, flood peak and kurtosis coefficient varied with the rainfall depth. This result is significant for studying the response of runoff characteristic from land use and land cover change. View Full-TextKeywords:
mean basin lag time; land use and land cover change; runoff characteristics; Dapoling basin
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Zhou, M.; Qu, S.; Chen, X.; Shi, P.; Xu, S.; Chen, H.; Zhou, H.; Gou, J. Impact Assessments of Rainfall–Runoff Characteristics Response Based on Land Use Change via Hydrological Simulation. Water 2019, 11, 866.
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