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2018, 11, v.49;No.541 129-136
水电工程下泄生态基流常用计算方法及软件开发
基金项目(Foundation): 国家自然科学基金项目(51420105014);国家自然科学基金项目(51509079)
邮箱(Email):
DOI: 10.13928/j.cnki.wrahe.2018.11.018
摘要:

为了分析及确立生态基流,为水电工程环境影响评价提供依据,针对水电工程生态基流估算及决策过程繁复等问题,以2001—2015年水电工程环境影响评价及相关法律法规为基础,分析我国生态基流管理实践中使用最广泛的4种计算方法,即Tennant法、月基本流量法、最小流量法及7Q10法,并编制生态基流决策支持软件,并应用软件在汉江流域进行实例验证。结果表明,该软件能够提供多种计算方法及对比分析功能,可为水电工程下泄生态基流计算及决策提供计算平台。4种计算方法在汉江流域计算结果差异较大。总体而言,干流适合最小流量法及Tennant法,支流适合Tennant法。研究成果具有较大的实际应用和推广价值。

Abstract:

In order to analyze and determine the ecological basic flow for providing a basis for environment assessment of hydropower project,four calculation methods widely applied to the practice of the basic ecological flow management in China,i. e.Tennant method,monthly basic flow method,minimum flowrate method and 7 Q10 method,are analyzed herein for the complexities of the estimation of the basic geological flow of hydropower project and its decision-making process on the basis of the environmental impact assessments of 2001 ~ 2015 and the relevant laws and regulations,while the ecological basic flow decision-making supporting software is developed as well. The applied software is verified through the actual case of Hanjiang River Basin. The result shows that the software can provide several calculation methods and functions of comparative analysis,and then can provide computing platform for the calculation and decision-making of the ecological basic flow discharged from hydropower project. The results from the calculations made on Hanjiang River Basin are largely different among the four calculation methods. Generally,the minimum flowrate method and Tennant method are suitable for the calculation of the main stream,while Tennant method is suitable for the calculation of the tributary. This study result has larger actual application and popularization value.

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基本信息:

DOI:10.13928/j.cnki.wrahe.2018.11.018

中图分类号:TV213.4;X143

引用信息:

[1]马乐军,王欢,张行南,等.水电工程下泄生态基流常用计算方法及软件开发[J].水利水电技术,2018,49(11):129-136.DOI:10.13928/j.cnki.wrahe.2018.11.018.

基金信息:

国家自然科学基金项目(51420105014);国家自然科学基金项目(51509079)

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