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为探究滆湖水环境质量的时空变化特征,在全湖布设20个采样点,开展逐月监测并分析水环境时空变化现状,对滆湖水体进行营养状态评价,通过多元统计分析的手段识别水质时空变化特征。结果表明:春季DO、Chl-a、TN较高,DO最高月均值为11.90 mg/L,Chl-a最高月均值为50.46 mg/m3,TN最高月均值为3.41 mg/L;夏季藻密度、TP较高,藻密度最高月均值为5 462.3万个/L,TP最高月均值为0.29 mg/L;春冬季的SD较高,春冬季SD均值为31.1 cm;春夏季的pH、EC较高,春夏季pH均值为8.063,春夏季EC均值为358.9μS/cm;北部湖区SD、水温、DO、TN、TP高于其他两个湖区,中心湖区的pH、Chl-a和EC高,南部湖区的藻密度高。滆湖水体综合营养状态指数为中营养状态与水环境因子有显著相关性。将滆湖9个水质指标数据,可概括为3个主成分,聚类分析将20个样点按时间尺度上分为2组;按空间尺度上分为2组。DO、水温、TP是导致月份差异的主要指标,SD、DO、EC是导致空间差异的主要指标。通过对水质时空变化的进行客观全面的分析更有助于界定水质特征,为湖泊修复提供理论依据。
Abstract：In order to explore the characteristics of the temporal and spatial changes of the water environmental quality of Gehu Lake, 20 sampling points were set up throughout the lake to conduct monthly monitoring and analysis of the spatiotemporal changes of the water environment, evaluate the nutritional status of the Gehu Lake water body, and identify the spatiotemporal water quality by means of multiple statistical analysis. Change characteristics. The results showed that DO, Chl-a and TN were higher in spring, the highest monthly average of DO was 11.90 mg/L, the highest monthly average of Chl-a was 50.46 mg/m3, and the highest monthly average of TN was 3.41 mg/L; summer algae density, TP is high, the highest monthly average of algae density is 54.623 million/L, and the highest monthly average of TP is 0.29 mg/L; the SD in spring and winter is higher, and the average SD in spring and winter is 31.1 cm; the pH and EC are higher in spring and summer. The average pH value in spring and summer is 8.063, and the average EC value in spring and summer is 358.9 μS/cm. The SD, water temperature, DO, TN, and TP in the northern lake area are higher than those in the other two lake areas. The pH, Chl-a and EC in the central lake area are higher than those in the southern lake area. The density of algae is high. The comprehensive trophic state index of Gehu Lake water body is that the mesotrophic state has a significant correlation with water environmental factors. The 9 water quality index data of Gehu Lake can be summarized into 3 principal components. The cluster analysis divides the 20 samples into 2 groups on the time scale and 2 groups on the space scale. DO, water temperature, and TP are the main indicators that cause monthly differences, while SD, DO, and EC are the main indicators that cause spatial differences. An objective and comprehensive analysis of the temporal and spatial changes of water quality is more helpful to define the characteristics of water quality and provide a theoretical basis for lake restoration.
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基本信息:
DOI：10.13928/j.cnki.wrahe.2021.01.012
中图分类号:X524
引用信息:
[1]钱文瀚,高月香,张毅敏,等.基于多元统计分析的滆湖水质时空变化特征及原因解析[J],2021,52(01):116-128.DOI:10.13928/j.cnki.wrahe.2021.01.012.
基金信息:
国家重大水体污染治理专项(2017ZX07202006);; 第二次全国污染源普查农业源入水体复核核算项目;; 江苏省研究生科研创新计划项目(KYCX_2604);; 中央级公益性科研院所基本业务收费项目(CYZX200204)