院报 ›› 2019, Vol. 36 ›› Issue (6): 14-19.DOI: 10.11988/ckyyb.20180128

• 水资源与环境 • 上一篇    下一篇

贵州草海水质时空变化和水体营养状况

王灿1, 袁婷2, 张建利3, 喻记新2,4, 5, 徐萌6, 刘勇6   

  1. 1.纳雍县环境保护局环境监测站,贵州 毕节 553300;
    2.中国科学院水生生物研究所, 武汉 430072;
    3.贵州科学院 贵州山地资源研究所,贵州 贵阳 550001;
    4. 江汉大学 生命科学学院,武汉 430056;
    5. 江汉大学 湖北省汉江流域特色生物资源保护开发与利用工程技术研究中心,武汉 430056;
    6.毕节市环境监测中心站,贵州 毕节 553300
  • 收稿日期:2018-02-02 出版日期:2019-06-01 发布日期:2019-06-12
  • 通讯作者: 张建利(1981-),男,甘肃庆阳人,博士,副研究员,主要从事植物生态和喀斯特退化森林生态系统恢复相关的研究。E-mail:zhangjl-z@163.com
  • 作者简介:王灿(1987-),男,贵州毕节人,本科,研究方向为水体和土壤污染修复。E-mail:2167815575 @qq.com
  • 基金资助:
    贵州省重大专项(黔科合重大专项字[2016]3022-03号)

Spatial-temporal Fluctuations of Water Quality and Nutritional Status Partitioning of Caohai Lake in Guizhou

WANG Can1, YUAN Ting2, ZHANG Jian-li3, YU Ji-xin2,4,5, XU Meng6, LIU Yong6   

  1. 1.Environmental Monitoring Station of Nayong County, Bijie 553300, China;
    2.Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan 430072, Chian;
    3.Institute of Mountain Resources of Guizhou Province, Guiyang 550001,China;
    4.College of Life Sciences, Jianghan University, Wuhan 430056, China;
    5.Hubei Engineering Research Center for Protection and Utilization of Special Biological Resources in the Hanjiang River Basin, Jianghan University, Wuhan 430056, China;
    6.The Central Environmental Monitoring Station of Bijie City, Bijie 551500, China
  • Received:2018-02-02 Online:2019-06-01 Published:2019-06-12

摘要: 为了解和改善草海水质现状,于2017年分季度监测了12个样点的11项水质指标,并分别采用综合营养状态指数法(TLI)和ArcGIS软件对全湖水体进行了营养状况评价和分区,根据《地表水环境质量标准》(GB 3838—2002)对水质进行了类别划分。研究表明:①除pH值和溶氧(DO)外,其他指标季节差异显著,悬浮物(SPM)在秋季最高,TN,TP浓度在春季最高,CODMn,NH4+-N和Chl.a浓度在夏季最高;TN,TP,NH4+-N和SPM浓度从上游到下游逐渐降低;②草海水体呈中营养-轻度富营养化(45.3≤TLI(∑)≤57.7);根据TLI(∑)值将全湖分为入水口(轻度富营养化)、近县城和入水口(主要为轻度富营养化)、湖中部(中营养-轻度富营养化)、中下游至近出水口(中营养水平)4个区;③草海水质主要为 Ⅱ— Ⅳ类,TN和CODMn是影响水质类别的主要指标。因此,草海水质保护的关键是周边污水排放治理,重点区域是湖区上游和入湖河流。

关键词: 水质保护, 草海, 时空变化, 营养状况分区, 综合营养状态指数(TLI)

Abstract: In the purpose of revealing and moreover improving the water quality of Caohai Lake, eleven water quality parameters were monitored seasonally in 2017 at 12 sampling sites, and in subsequence, the nutritional status in the lake was assessed and divided into different partitions by employing comprehensive trophic status index (TLI) and ArcGIS. According to national standard Quality Standard for Surface Water Environment(GB 3838-2002), the water quality in the lake was classified. Results unveiled that: (1) except for pH and dissolved oxygen, all parameters showed significant seasonal differences. The concentration of suspended solid material (SPM) was highest in autumn, and the concentrations of TN and TP were highest in spring, while those of CODMn, NH4+-N, and Chl.a were highest in summer; concentrations of TN, TP, NH4+-N and SPM decreased gradually from the upstream to the downstream. (2) In a holistic sense, the water body in Caohai Lake was mesotrophic to slightly eutrophic (45.3≤ TLI(∑)≤57.7). According to the TLI(∑) values, the lake was divided into four sectors, namely, the inlet area of the lake (slightly eutrophic in general), the areas located near the urban area of Weining county and river inlet (slightly eutrophic), the middle area of the lake (mesotrophic to slightly eutrophic), and the middle-lower reach to the outlet of the lake (mesotrophic). (3) The water quality classification of Caohai Lake was mainly Ⅱ-Ⅳ, dominantly affected by TN and CODMn. In conclusion, controlling the discharge of waste water in surrounding areas, in particular, the upstream of the lake area and the water inlets, should be the key of improving the water quality of Caohai Lake.

Key words: water quality protection, Caohai Lake, spatial-temporal fluctuation, nutritional status partition, comprehensive trophic status index (TLI)

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