长江科学院院报 ›› 2022, Vol. 39 ›› Issue (4): 49-55.DOI: 10.11988/ckyyb.20201360

• 水环境与水生态 • 上一篇    下一篇

基于WQImin模型的武汉市金银湖水质时空特性

杨列1, 闫霄珂1, 刘艳丽1, 朱静2, 吴丽1, 张祖麟1   

  1. 1.武汉理工大学 资源与环境工程学院,武汉 430070;
    2.湖北省生态环境厅武汉生态环境监测中心,武汉 430022
  • 收稿日期:2020-12-29 修回日期:2021-04-29 出版日期:2022-04-01 发布日期:2022-04-14
  • 通讯作者: 朱 静(1984-),女,湖北黄石人,高级工程师,博士,主要从事生态环境质量监测综合分析评价研究。E-mail:alicezhu84@gmail.com
  • 作者简介:杨 列(1987-),男,湖北天门人,副教授,博士,博士生导师,主要从事环境生态修复与污染控制研究。E-mail:yanglie612@whut.edu.cn
  • 基金资助:
    国家自然科学基金项目(51878523)

Analyzing Spatio-temporal Characteristics of Water Quality in Jinyin Lake Using Water Quality Crucial Index (WQImin)

YANG Lie1, YAN Xiao-ke1, LIU Yan-li1, ZHU Jing2, WU Li1, ZHANG Zu-lin1   

  1. 1. School of Resources and Environmental Engineering, Wuhan University of Technology, Wuhan 430070, China;
    2. Wuhan Environmental Monitoring Center, Department of Ecology and Environment of Hubei Province, Wuhan 430022, China
  • Received:2020-12-29 Revised:2021-04-29 Published:2022-04-01 Online:2022-04-14

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摘要： 为确定武汉市金银湖水域水质状况,提出水质评价报告,对武汉市金银湖7个水系10个典型水质指标的时空变化特征进行研究,建立了包含五日生化需氧量(BOD5)、高锰酸盐指数(PI)、化学需氧量(COD)和溶解氧(DO)的4个主要污染指标的水质指数模型(WQImin)。结果表明:①金银湖水质空间分布特征差异较大;位于其上游的东银湖、上金湖和墨水湖属于水质较差的污染区域(WQImin=25.63~31.79);位于金银湖下游的东大湖、下金湖、下银湖和上银湖属于水质中等的低污染区域(WQImin=45.64~53.19)。②金银湖水质时间格局分为3段:2019年1月水质状况最佳(WQImin=61.68);2018年8月—2019年3月(2019年1月除外)为低污染时期(WQImin=47.17~52.70);2019年4—10月份为水质较差的污染时期(WQImin=24.41~35.95)。③2019年8—9月份与2018年同期相比水质下降,其原因应为外源和内源污染物的排放增长,金银湖水体治理管控需进一步加强。

关键词: 水质, WQImin模型, 污染指标, 时空特征, 生态系统, 武汉市金银湖

Abstract: The spatial and temporal changes of ten water quality indicators obtained monthly from August 2018 to October 2019 in seven water systems of Jinyin Lake in Wuhan were investigated by constructing a water quality crucial index model (WQImin) consisting of four crucial indices, namely, five-day biochemical oxygen demand (BOD5), permanganate index (PI), chemical oxygen demand (COD), and dissolved oxygen (DO) using principal component analysis. Result demonstrated that the water quality in Jinyin Lake differed notably in spatial scale: Dongyin Lake, Shangjin Lake, and Moshui Lake in the upstream of Jinyin Lake belonged to polluted area of inferior water quality with the WQImin values ranging between 25.63 and 31.79; Dongda Lake, Xiajin Lake, Xiayin Lake and Shangyin Lake in the downsteam were low-polluted areas of medium level with their average WQImin values ranging from 45.64 to 53.19. In temporal scale, water quality in Jinyin Lake can be divided according to three time periods: January 2019 witnessed the optimum water quality with an average WQImin value amounting to 61.68; August 2018 to March 2019 (except for January 2019) undergone low pollution with the average WQImin value from 47.17 to 52.70; April 2019 to October 2019 presented inferior water quality with the WQImin value from 24.41 to 35.95. The water quality in August-September 2019 declined compared with the same period in 2018 because of the increasing discharge of xenobiotic and endogenous pollutants. In conclusion, the water management of Jinyin Lake needs to be further strengthened.

Key words: water quality, WQImin model, pollution indicators, temporal and spatial characteristics, ecological system, Jinyin Lake in Wuhan

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