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量化气候变化和人类活动对中国绵河流域径流量减少的影响程度。

Quantifying the magnitude of the impact of climate change and human activity on runoff decline in Mian River Basin, China.

机构信息

Key Laboratory of Agricultural Water Resources, Center for Agricultural Resources Research, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, 286 Huaizhong Road, Shijiazhuang 050021, China.

出版信息

Water Sci Technol. 2010;62(4):783-91. doi: 10.2166/wst.2010.294.

Abstract

Runoff in North China has been dramatically declining in recent decades. Although climate change and human activity have been recognized as the primary driving factors, the magnitude of impact of each of the above factors on runoff decline is still not entirely clear. In this study, Mian River Basin (a watershed that is heavily influenced by human activity) was used as a proxy to quantify the contributions of human and climate to runoff decline in North China. SWAT (Soil and Water Assessment Tool) model was used to isolate the possible impacts of man and climate. SWAT simulations suggest that while climate change accounts for only 23.89% of total decline in mean annual runoff, human activity accounts for the larger 76.11% in the basin. The gap between the simulated and measured runoff has been widening since 1978, which can only be explained in terms of increasing human activity in the region. Furthermore, comparisons of similar annual precipitation in 3 dry-years and 3 wet-years representing hydrological processes in the 1970s, 1980s, and 1990s were used to isolate the magnitude of runoff decline under similar annual precipitations. The results clearly show that human activity, rather than climate, is the main driving factor of runoff decline in the basin.

摘要

近几十年来,华北地区的径流量大幅减少。尽管气候变化和人类活动已被认为是主要驱动因素,但这两个因素对径流量减少的影响程度仍不完全清楚。本研究以深受人类活动影响的米流域为代表,量化了人类和气候对华北地区径流量减少的贡献。SWAT(土壤和水评估工具)模型被用来分离人类和气候的可能影响。SWAT 模拟表明,虽然气候变化仅占平均年径流量总减少量的 23.89%,但人类活动在流域中占了更大的 76.11%。自 1978 年以来,模拟和实测径流量之间的差距一直在扩大,这只能用该地区人类活动的增加来解释。此外,还比较了代表 20 世纪 70 年代、80 年代和 90 年代水文过程的 3 个枯水年和 3 个丰水年的类似年降水量,以分离在类似年降水量下径流量减少的幅度。结果清楚地表明,人类活动而不是气候是流域径流量减少的主要驱动因素。

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