Assessment of water resource pressure of Heihe River basin at the county level from 1995 to 2014

doi:10.7523/j.issn.2095-6134.2018.02.004

Abstract

Abstract: Facing the great challenge of water shortage, assessment of water resources pressure has become a prominent issue. This study used the SWAT (soil and water assessment tool) model, Mann-Kendall detection method, and the 1995-2014 statistics of Heihe River basin to analyze the spatial and temporal dynamics of water resource pressure at the level of county. The assessment indicator system includes the total water resource pressure (TP), ecology consuming water pressure (EP), product consuming water pressure (PP), and domestic consuming water pressure (DP). The results show an obvious spatial variation in water resource pressur. Ganzhou has the largest TP, followed by Ejila and Shandan. The facts attribute to the high PPs in Ganzhou and Ejila and high EP in Shandan. Linze and Mingle have high TPs, close to 1. EPs presented decrease trends in Qilian, Sunan, Gaotai, Shandan, and Ejila in 1995-2014 and the maximum occurred in Suzhou. Other counties displayed increase trends and the maximum occurred in Suzhou. The increase trends of PP occurred in Linze, Gaotai, Sunan, Jiayuguan, Jinta, and Ejila in 1995-2014, and the decrease trends in Qilian, Sunan, Ganzhou, Shandan, and Mingle. These variations in water resource pressure were the comprehensive and interactive results of climate, population, vegetation, ecology, urbanization, and policies. The dynamic variations in different counties suggest that the decision makers adopt different policies in different counties in the basin. The present study illustrates the status of the water resource pressure at the county level, and provides an example for water resource assessment of arid and semi-arid basins.

Key words: SWAT, county level, water resource pressure, ecological water, Heihe River basin

CLC Number:

P954
S127

LUO Kaisheng, TAO Fulu. Assessment of water resource pressure of Heihe River basin at the county level from 1995 to 2014[J]. , 2018, 35(2): 172-179.

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