别大东河城市段潜在污染负荷点源的空间分布

E. Novita, Ahmad Zaidan Karomi, H. Pradana
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引用次数: 1

摘要

人们认为,城市地区各种各样的社区活动和糟糕的生活污水系统影响了贝大东江的水质。高水平的河流污染是由于大量的污染废物进入,从而增加了污染负荷。点源污染源是指来自某些可以直接识别的来源的污染物,例如家庭废物处理、工业活动等。生活垃圾中的有机污染物进入河流会降低河流中的溶解氧浓度,从而影响河流水质。通过了解水中氧含量的浓度,就可以判断水质是否不受污染物污染。为了找到答案,有必要测量BOD(生化需氧量)的量。BOD值可以用作衡量水系统中废物污染物水平的指数。此外,土地利用的变化也是人口增长和人类活动增加的影响。忽视生态系统可持续性原则的土地利用变化往往会损害环境,包括水质下降。利用别大洞河空间数据和污染物水质(BOD)数据,确定了别大洞河在市区的潜在点源污染负荷。所有数据都使用地理信息系统(GIS)技术进行组合和处理。对数据进行分析,并绘制成北大江城区段潜在点源污染物负荷分布图。基于边界的土地覆被污染源面积分析结果为:稻田占18.97%,农田占5.98%,园林占12.85%,河流占12.25%,聚落占研究区总面积的49.96%。潜在点源污染负荷计算结果表明,Kaliwates村的潜在污染负荷值最高,为13.966 kg/d, Antirogo村的潜在污染负荷值最低,为0.004 kg/d,总点源污染负荷为36.31 kg/d。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Spatial Distribution of Potential Pollution Load Point Source of Bedadung River in the Urban Area Segment
The variety of community activities in urban areas and a poor domestic sewage system are thought to affect the water quality of the Bedadung River. The high level of river pollution is caused by the high amount of polluting waste that enters, thus increasing the pollution load. Point source pollutant sources are sources of pollutants originating from certain sources that can be identified directly, such as domestic waste disposal, industrial activities, and others. Organic pollutants from domestic waste that enter the river can reduce the dissolved oxygen concentration in the river which can affect the quality of river water. The quality of water from pollutants can be indicated by knowing the concentration of the oxygen content in the water. To find out, it is necessary to measure the amount of BOD (Biochemical Oxygen Demand). The BOD value can be used as an index number to measure the level of pollutants from waste in a water system. In addition, changes in land use are also the impact of population growth and increased human activity. Land-use changes that ignore the principles of ecosystem sustainability tend to harm the environment, including a decrease in water quality. This study was conducted to determine the potential point source pollution load of Bedadung River in the Urban Area using information about the Bedadung River both spatial data and pollutant water quality (BOD) data. All data is combined and processed using Geographical Information Systems (GIS) technology. The data were analyzed and plotted into a map depicting the distribution of potential point source pollutant loads in the Bedadung River Urban Area Segment. The results of the analysis of land cover pollutant source areas based on the boundary include rice fields of 18.97%, fields of 5.98%, gardens of 12.85%, rivers of 12.25%, and settlements having the largest land area of 49.96% of the total area of the study area. The results of the calculation of the potential point source pollution load showed that the highest potential pollution load value was in the Kaliwates village of 13.966 kg/day, the lowest was in the Antirogo village of 0.004 kg/day and the total point source pollution load was 36.31 kg/day.
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