基于格兰杰因果分析的大坝管理绩效评价

Sungchul Cho
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摘要

本文试图通过分析排放量、水温和污染指数之间的因果关系,寻找水资源管理和水质改善的启示,预计近年来随着水温的上升和降水变化作为变暖效应对水质产生很大影响。为此,利用韩国主要水系10座多用途水坝的流量、水温、BOD、COD和DO的时间序列数据,进行单位根检验、协整检验和格兰杰因果检验。分析表明,水温波动对污染指数的影响大于排水量波动。另外,陕川坝和忠州坝的水质与流量的因果关系较高,是水质管理效果最好的坝。排名第二的是大清坝。排在第三位的是龙坝和安东大坝,其水质与流量的因果关系较低。最后一组是剩下的五座大坝。
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The performance evaluation of dam management by using Granger causal analysis
This paper attempted to find implications for water resource management and water quality improvement by analyzing the causal relationship among discharge, water temperature and pollution index, which were expected to have a great effect on water quality with the rise of water temperature and precipitation change as the warming effect in recent years. For this purpose, the unit root test, cointegration test, and Granger causal test were carried out for 10 multi-purpose dams in Korean major water systems using time series data on discharge, water temperature, BOD, COD and DO. It was analyzed that the fluctuation of water temperature affected the pollution index more than the fluctuation of discharge volume. Also, Hapcheon dam and Chungju dam were the best water quality management dams based on the high causal relationship between water quality and discharge. The second rank was Daecheong dam. The third-ranking group were Yongdam and Andong dam, whose causal relationships between water quality and discharge were low. The last group were the remaining five dams.
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