Li Kun, Wang Ling, Li Zhao-hua, Wang Xiang-rong, Chen Hong-bing, Wu Zhong, Zhu Peng
Huan Jing Ke Xue. 2015 Apr;36(4):1285-92.
Based on the high-density analysis of 139 monitoring points and samples in water of honghu lake with different degrees of eutrophication during the high water-level period, we could get the figures of spatial variability characteristics of pollution factors, the biomass of aquatic plants and water quality in Honghu Lake using the GIS interpolation methods. The result showed that the concentrations of TN, TP, NH4(+) -N, permanganate index gradually increased from south to north during this period, the trend of water pollution degree in Honghu Lake was the region of inflowing rivers > enclosure culture area > open water area > the lake protection area > region of the Yangtze river into the lake; and the contribution rate of water quality parameters was in the order of TN > TP > permanganate index > NH4(+), -N > DO; under the influence of industrial sewage, agricultural sewage, domestic sewage, bait, aquatic plants and water exchange, 59% of TN, 35.2% of TP, 13.7% of permanganate index, 4.3% of NH4(+)-N exceeded the water quality targets, respectively, accordingly, 66.2% of the water quality also exceeded the water quality target. Nonetheless, DO reached the water quality target due to the influences of monsoon climate and other environment factors. The spatial variation analysis could directly reflect the mutual interaction among human activity, land-use types and environment factors which had an enormous impact on Honghu Lake water environment. In order to ensure that the lake water environment is beneficial for human productions and livings, it is necessary for us to control the discharge of industrial sewage, agricultural sewage and domestic sewage, as well as the expanding area of aquaculture, all the above measures would be significant for gradually resuming the self-purification capacity of water body and finally achieving the ecological sustainable development of Honghu Lake water environment.
通过对洪湖高水位期不同富营养化程度的139个监测点位及水样进行高密度分析,利用GIS插值方法得到洪湖污染因子、水生植物生物量及水质的空间变异特征数据。结果表明,该时期TN、TP、NH4(+) -N、高锰酸盐指数浓度自南向北逐渐升高,洪湖水污染程度趋势为入河区域>围网养殖区>敞水区>湖泊保护区>长江入湖区域;水质参数贡献率排序为TN>TP>高锰酸盐指数>NH4(+) -N>DO;受工业污水、农业污水、生活污水、饵料、水生植物及水体交换影响,TN、TP、高锰酸盐指数、NH4(+) -N分别有59%、35.2%、13.7%、4.3%超过水质目标,相应地,66.2%的水质也超标。不过,由于季风气候等环境因素影响,DO达到水质目标。空间变异分析能直接反映人类活动、土地利用类型与环境因素之间的相互作用,这些因素对洪湖水环境影响巨大。为确保湖泊水环境有利于人类生产生活,则需控制工业污水、农业污水及生活污水排放,以及养殖面积的扩张,上述措施对于逐步恢复水体自净能力、最终实现洪湖水环境生态可持续发展具有重要意义。