李中宇¹,
金小伟²,
刘继凤³,
王业耀²
1. 黑龙江省环境监测中心站, 哈尔滨 150056;
2. 中国环境监测总站, 北京 100012;
3. 黑龙江省环境科学研究院, 哈尔滨 150056

作者简介: 李中宇(1967-),女,高级工程师,研究方向为水环境生物学,E-mail:jmslizy@163.com.

基金项目: 松花江水生态环境状况调查及国家水生生物监测应用示范(20160059)
国家水体污染控制与治理科技重大专项(2017ZX07302-001)
国家地理空气与水保护基金项目(GEFC28-15)


中图分类号: X171.5

Early Warning for Water Ecosystem in Main Stream of Songhua River with Benthic Macroinvertebrate

Li Zhongyu¹,
Jin Xiaowei²,
Liu Jifeng³,
Wang Yeyao²
1. Environmental Monitoring Centre of Heilongjiang Province, Harbin 150056, China;
2. China National Environmental Monitoring Centre, Beijing 100012, China;
3. Environmental Science Research Academy of Heilongjiang Province, Harbin 150056, China

CLC number: X171.5

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摘要:指示生物监测及水生态预警是利用水环境中指示物种的数量、群落结构指标和个体生理指标等描述水生态系统的健康状态，其相比于常规理化监测和预警更直接地反映水体的生态质量。本研究在松花江干流2012—2015年大型底栖无脊椎动物监测结果的基础上，结合各监测点生态质量管理目标，通过分析物种的种类、出现的频次、物种污染敏感性(耐污值)，尝试提出了松花江干流监控断面以底栖动物为指示生物的水生态预警模式，研究思路和结果对流域水环境风险管理指标的拓展有积极作用。
关键词: 水生态预警/
指示生物/
大型底栖动物/
生物指数/
松花江

Abstract:Biological indicator monitoring and early warning for water ecosystem is using the species number, structure index and some physiological and ecological index of aquatic species to describe the ecosystem health. Compared to the conventional physical and chemical monitoring, biological indicator monitoring has more obvious advantages in early warning for water ecosystem. In present study, an early warning method for water ecosystem was developed based on benthic macroinvertebrate monitoring results and biotic comprehensive evaluation index from 2012 to 2015 in main stream of Songhua River. The system should improve the evaluation index for environment risk and forewarning management.
Key words:ecological early warning/
biological indicator/
benthic macroinvertebrate/
biotic index/
Songhua River.