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引用本文:彭兆亮,胡维平.基于水生态改善的太湖分区分时动态水质目标制定方法.湖泊科学,2019,31(4):988-997. DOI:10.18307/2019.0417
PENG Zhaoliang,HU Weiping.A modelling approach for dynamic water quality target setting on multiple time-scales for subzones of Lake Taihu based on ecosystem improvement. J. Lake Sci.2019,31(4):988-997. DOI:10.18307/2019.0417
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基于水生态改善的太湖分区分时动态水质目标制定方法
彭兆亮, 胡维平
中国科学院南京地理与湖泊研究所湖泊与环境国家重点实验室, 南京 210008
摘要:
科学、合理地制定水体主要污染物浓度控制目标,即水质目标是实施河、湖"水质目标管理"的基础和前提.本文基于环境条件决定生态系统结构以及自组织适应生态学原理,提出一种可促进水生态改善的太湖分区分时动态水质目标制定方法.该方法在出入湖河道流量情景及分区污染物浓度情景设计的基础上,进行不同情境下水生态系统要素时空演化的数值试验;然后以藻类生物量减小、沉水植物生物量增加为判据,构造水质目标优化模型;最后将湖泊水生态模型与水质目标优化模型耦合,判断各污染物浓度情景下水生态系统健康状况,进而确定不同时间尺度下太湖各分区总氮、总磷、氨氮、高锰酸盐指数等主要污染物指标的动态控制目标.结果表明:本方法制定的太湖各湖区分时水质目标相比传统的"静态"目标更能促进太湖水生态系统健康发展,并为太湖水环境的精细化管理提供了可能.
关键词:  太湖  水质目标  分区  分时段  水生态改善
DOI:10.18307/2019.0417
分类号:
基金项目:国家自然科学基金项目(41701567)、江苏省自然科学基金项目(BK20151064)和中国科学院重点部署项目(KZZD-EW-10-01)联合资助.
A modelling approach for dynamic water quality target setting on multiple time-scales for subzones of Lake Taihu based on ecosystem improvement
PENG Zhaoliang, HU Weiping
State Key Laboratory of Lake Science and Environment, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, P. R. China
Abstract:
Setting a scientific and reasonable water quality target is the basis for water quality target management for water bodies such as rivers and lakes. The purpose of this study is to develop a dynamic water quality target setting approach on multiple time-scales for subzones of Lake Taihu in China. This approach is based on the ecological principles of self-organizing adaptation and that the ecosystem structure is decided by environment conditions. Monthly flow scenarios of main tributaries and pollutant concentration scenarios of each of the eight subzones of Lake Taihu were designed firstly. These scenarios were then fed into the EcoLake model to simulate the evolution of water ecosystem variables. A water quality target optimization model was set up to identify the best pollutant concentration scenarios. The optimization model uses algal biomass and submerged plant biomass as optimization metrics. The optimization model was integrated to the EcoLake model lastly to determine the best control targets of total nitrogen, total phosphorus, ammonia nitrogen and permanganate index. The results suggest that the water quality target set in this study is more advanced in terms of promoting water ecosystem condition and supporting fine water environment management for Lake Taihu, comparing to traditional water quality target.
Key words:  Lake Taihu  water quality target  subzones  multiple time-scales  ecosystem improvement
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