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阿什河流域水生态评价模型与分区管控策略研究

Water ecological assessment model and zoning control strategy in Ashe River basin

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【作者】 赵英潘奕霖王卫慧卢俊峰郭亮

【Author】 ZHAO Ying;PAN Yilin;WANG Weihui;LU Junfeng;GUO Liang;School of Environment, Harbin Institute of Technology;State Key Laboratory of Urban Water Resource and Environment, Harbin Institute of Technology;

【通讯作者】 郭亮;

【机构】 哈尔滨工业大学环境学院哈尔滨工业大学城市水资源与水环境国家重点实验室

【摘要】 基于"三水"统筹背景,按照"流域统筹、区域落实"的思路,对阿什河流域展开水生态评价模型与分区管控策略研究,有利于为寒地环境治理精细化智慧运维模式提供科技支撑。对阿什河流域寒冷环境各时期进行采样,基于DNA宏条形码技术对阿什河流域真核微型生物群落进行测定,研究结果表明,不同时期的流域真核微型生物群落分布和优势种群有显著差异,植物界中的真核微生物种类较多,硅藻门和金藻门丰度最高、真核动物主要为原生动物门;基于水质和水生物指标构建水生态质量评价体系,通过熵权法-层次分析法的组合方法,对寒冷环境下阿什河流域健康状态进行评价,通过对阿什河流域进行子流域划分、"自下而上"实现子流域聚类,并结合当前"河(湖)长制"等现实流域管控制度,对流域进一步细化管理做出了规划。基于SOM和K-means算法进行聚类,将21个子流域划定为3个阿什河流域水生态精准管控区域,为了能够更有效地管理阿什河流域水生态精准管控区域,分别对每个管控区域提出了一些管控建议。

【Abstract】 Based on the background of "three rivers" and the idea of "basin planning and regional implementation", the study on the water ecological assessment model and zoning management and control strategy of The Ash River Basin is beneficial to provide scientific and technological support for the refined and intelligent operation and maintenance mode of environmental governance in the cold region. In this paper, samples were collected in different periods of cold environment in the Ash River Basin, and eukaryotic microcommunities were measured based on DNA macro barcoding technology. The results showed that there were significant differences in the distribution and dominant population of eukaryotic microcommunities in different periods, and there were many eukaryotic microflora in the plant kingdom. The abundance of diatoms and chrysophyta was the highest, and the eukaryotes were mainly protozoa. The water ecological quality evaluation system was established based on water quality and aquatic biological indicators. The health status of the Ash River Basin in cold environment was evaluated by the combined method of entropy weight method and analytic hierarchy process. By dividing the Ashe River basin into sub-basins, realizing sub-basin clustering "from bottom to top", and combining with the current watershed management and control system such as "river(lake) chief system", the further detailed management of the basin is planned. Based on SOM and K-means algorithm, the 21 sub-basins were divided into 3 accurate water ecological control regions of the Ash River Basin. In order to more effectively manage the accurate water ecological control regions of the Ash River Basin, some control suggestions were put forward for each control region.

  • 【文献出处】 给水排水 ,Water & Wastewater Engineering , 编辑部邮箱 ,2021年S2期
  • 【分类号】X826;X52
  • 【被引频次】1
  • 【下载频次】118
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