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Impact of Climate Variabilities and Human Activities on Surface Water Extents in Reservoirs of Yongding River Basin, China, from 1985 to 2016 Based on Landsat Observations and Time Series Analysis

机译:气候变化和人类活动对中国永定河流域水库地表水域的影响,从1985年到2016年,基于Landsat观测和时间序列分析

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摘要

Yongding River is the largest river flowing through Beijing, the capital city of China. In recent years, Yongding River Basin (YDRB) has witnessed increasing human impacts on water resources, posing serious challenges in hydrological and ecological health. In this study, remote sensing techniques and statistical time series approaches for hydrological studies were combined to characterize the dynamics and driving factors of reservoir water extents in YDRB during 1985–2016. First, 107 Landsat 4, 5, 7 and 8 images were used to extract surface water extents in YDRB during 1985–2016 using a combination of water indices and Otsu threshold algorithm. Significant positive correlation was found between water extents and the annual inflow for the two biggest reservoirs, the downstream Guanting and upstream Cetian reservoirs, proving their representativeness of surface water availability in this basin. Then, statistical time series approaches including trend-free pre-whitening Mann-Kendall trend test, Pettit change-point test and double mass curve method, which are frequently used in hydrological studies, were adopted to quantify the trend of reservoir water extents dynamics and the relative contributions of climate variability and human activities. Results showed that the water extents in both reservoirs exhibited significant downward trend with change point occurring in 2001 and 2005 for Guanting and Cetian, respectively. About 74%~75% of the shrinkage during the post-change period can be attributed to human activities, among which GDP, population, electricity power production, raw coal production, steel and crude iron production, value of agriculture output, and urban area were the major human drivers. Hydrological connectivity between the upstream Cetian and downstream Guanting reservoirs declined during the post-change period. Since 2012, water extents in both reservoirs recovered as a result of various governmental water management policies including the South-to-North Water Diversion Project. The methodology presented in this study can be used for analyzing the dynamics and driving mechanism of surface water resources, especially for un-gauged or poorly-gauged watersheds.
机译:永鼎河是最大的河流流经北京,中国首都。近年来,永定河流域(YDRB)目睹了对水资源的影响越来越大,在水文和生态健康方面构成了严峻挑战。在本研究中,组合了水文研究的遥感技术和统计时间序列方法,以表征1985 - 2016年YDRB中储层水分的动态和驱动因子。首先,在1985 - 2016年使用水指数和OTSU阈值算法的组合期间,使用107 Landsat 4,5,7和8图像在1985-2016期间在YDRB中提取表面水分区。水分区间和每年最大水库的年度流入之间发现了显着的正相关性,下游围场和上游的近距离水库,证明了这条盆地的地表水可用性的代表性。然后,采用统计时间序列方法包括无趋势预美曼 - 肯德尔趋势试验,常用于水文研究的Pettit改变点测试和双重质量曲线方法,以量化水库水范围动态的趋势和气候变异性和人类活动的相对贡献。结果表明,两个水库中的水分区分别与2001年和2005年发生的变化点显着下降趋势,分别为致敬和秘书人员。在发生后期的约74%〜75%的收缩期间可归因于人类活动,其中GDP,人口,电力生产,原煤生产,钢铁和原油生产,农业产量的价值和城市地区是主要的人类司机。在后变更期间,上游的近端和下游致远储层之间的水文连通性下降。自2012年以来,由于各种政府水管理政策在内的各种政府水管理政策,这些水库中的水分将恢复。本研究中提出的方法可用于分析地表水资源的动态和驱动机制,特别是对于未测量或不良的流域。

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