Abstract

Sensitivity to pollution in Burullus Lake was estimated based on the proximity analysis. The category of sensitivity was based on six factors including: agricultural areas, industrial areas, drains, Elboughaz, urban areas and fish farms. A statistical model was developed to estimate trophic state index (TSI) based on laboratory measurements of water samples at two different periods of time (Mach 2020 and June 2020) (R² = 0.96 and 0.94, respectively). The important factors that were considered at the first period were chlorophyll, phosphate PO₄ and oxidizable organic matter OOM. In the second period, the considered factors were ammonia NH₄, silicates SiO₄, and dissolved oxygen (DO). The category of TSI varied from oligotrophic to hyper-eutrophic conditions in March 2020, whereas it varied from eutrophic to hyper-eutrophic in June 2020. The eutrophication condition was higher in June than in March. This may be attributed to the huge amount of wastewaters, their contaminant load and season. The compatibility between sensitivity model and the obtained results in March 2020 was about 54.5%, whereas it was about 27.3% in June 2020. This reveals that the lake is highly sensitive to pollution and therefore it needs to be monitored regularly.

摘要

布鲁勒斯湖的污染敏感性是根据邻近分析估计的。敏感性类别基于六个因素，包括：农业区、工业区、排水沟、Elboughaz、城市地区和养鱼场。基于两个不同时间段（2020 年马赫和 2020 年 6 月）（分别为R ² = 0.96 和 0.94 ）的实验室水样测量结果，开发了一种统计模型来估计营养状态指数 (TSI )。第一期考虑的重要因素是叶绿素、磷酸盐PO ₄和可氧化有机物OOM。第二阶段考虑的因素为氨NH ₄、硅酸盐SiO ₄, 和溶解氧 (DO)。2020 年 3 月 TSI 类别由贫营养向超富营养化变化，而 2020 年 6 月由富营养化向超富营养化变化。6 月富营养化状况高于 3 月。这可能归因于大量废水、污染物负荷和季节。敏感性模型与2020年3月所得结果的相容性约为54.5%，而2020年6月约为27.3%，说明该湖对污染高度敏感，需要定期监测。