| 山西晋祠泉在引水条件下的可再生性研究 |
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| 引用本文： | 孙才志,王金生,林学钰.山西晋祠泉在引水条件下的可再生性研究[J].中国岩溶,2001,20(1):11-16. |
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| 作者姓名： | 孙才志 王金生 林学钰 |
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| 作者单位： | 1. 北京师范大学环境科学研究所;辽宁师范大学地理系
2. 北京师范大学环境科学研究所, |
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| 基金项目： | 研究成果获国家重点基础研究项目－973项目(项目编号:G1999036406)资助 |
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| 摘 要： | 应用模糊线性回归时间序列分析手段，通过分析长期动态资料，建立起晋祠泉流量与降水量、汾河渗漏量、矿坑排水量及人工开采量之间的模糊关系方程；在此基础上预测了在万家寨引黄工程完工后，晋祠泉域在地下水得到涵养条件下的可再生性，同时还预测了不同方案调控条件下，晋祠泉的大致出流时间。在一般情况下，晋祠泉的大致出流时间在2007-2009年之间，为了实现晋祠早日复流，节流是今后最重要的管理措施，同时应该注意晋祠泉的水质保护问题。
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| 关 键 词： | 晋祠泉 可再生性 模糊预测 时间序列分析 引水条件 岩溶地下水 降水量 开采量 |
| 文章编号： | 1001-4810(2001)01-0011-06 |
| 修稿时间： | 2000年11月26 |
RESEARCH ON THE JINCI SPRING'S RECOVERY AFTER THE USE OF WATER FROM THE YELLOWRIVER ASMUNICIPAL WATER SUPPLY |
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| SUN Cai-zhi,WANG Jin-sheng and LIN Xue-yu.RESEARCH ON THE JINCI SPRING''S RECOVERY AFTER THE USE OF WATER FROM THE YELLOWRIVER ASMUNICIPAL WATER SUPPLY[J].Carsologica Sinica,2001,20(1):11-16. |
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| Authors: | SUN Cai-zhi WANG Jin-sheng and LIN Xue-yu |
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| Institution: | 1.Environment Science Research Institute of Beijing Normal University 2.Geography Department of Liaoning Normal University,1.Environment Science Research Institute of Beijing Normal University 2.Geography Department of Liaoning Normal University and 1.Environment Science Research Institute of Beijing Normal University 2.Geography Department of Liaoning Normal University |
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| Abstract: | This paper established a fuzzy equation of the discharge of the Jinci spring,precipitation,Fenhe river's leakage,drainage of coal mine and artificial yield of water on the basis of applying fuzzy linear regression and time series analysis and analyzing long-time regime information,and then forecasted the recovery of the Jinci spring after the completion of the Wanjiazhai project,the approximate recovery time of the Jinci spring was predicted under different conditions. In general,the recovery time is 2007～2009.Water saving is the most important countermeasures for the Jinci spring's recovery,and its water quality should be protected at the same time. |
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| Keywords: | Jinci spring Renewable capacity Fuzzy forecast Time series analysis |
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