PREDIKSI DISTRIBUSI PENCEMARAN AIR SUNGAI DAS BRANTAS HULU KOTA BATU PADA MUSIM HUJAN DAN KEMARAU MENGGUNAKAN METODE SPASIAL INVERSE DISTANCE WEIGHTED

Novianthi Lusiana, Bambang Rahadi
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引用次数: 1

Abstract

The diversity of activities along the Brantas watershed causes waste disposal, which contributes to an increase in pollution load in the Brantas watershed and a decrease in water quality. It is necessary to periodically monitor water quality changes, but the constraints faced are the high cost of sample testing. The solution that can be done is to predict changes in water quality through the neighborhood method to reduce the number of samples. The purpose of this study is to predict the water quality conditions spatially by using the Inverse Distance Weighted (IDW) method, especially in the watershed area of ??Batu Upper Brantas and find out the differences in the spread of pollution water in the conditions of the rainy and dry season, as the last output is to determine the water purification zone. The IDW method is able to visualize the spread of water pollution with distance-based interpolation calculations, where the advantages of IDW compared to other methods are that the calculations are at the minimum limit and the maximum limit of input values. The results obtained from this study were from 13 sampling points obtained 1 point experienced an increase in pollution status in the rainy season to dry season, namely from weight to moderate, 1 sample point that experienced changes in pollution status from mild to moderate, 7 points experienced a change in status from moderate to severe and 4 sample points experiencing changes in status from mild to severe. Branats River degradation zone upstream of Batu City at a distance of 2 km has experienced a decrease in DO during the rainy and dry season, the decomposition zone of Sunga Upper Brantas in Batu City is at a distance of 3 km to 6 km in the rainy season, and at a distance of 3-4 km dry season conditions , rehabilitation zone in the Brantas River in the Upper Batu City at a distance of 7 km to 8 km in the rainy season and at a distance of 5-11 km during the dry season and a re-purification zone, there was no purification zone at a distance of 11 km along the Brantas River in the Upper Batu City.   Keywords : distribution, prediction, purification zone, water pollution
在雨季和旱季,达斯布兰塔斯河上游的水污染的预测使用有限的空间耕作方法
布兰塔斯流域活动的多样性导致废物处理,这导致布兰塔斯流域污染负荷增加,水质下降。定期监测水质变化是必要的,但面临的制约因素是样品检测成本高。解决方法是通过邻域法预测水质变化,减少样本数量。本研究的目的是利用逆距离加权(IDW)方法对流域水质状况进行空间预测,特别是在??Batu Upper Brantas和找出污染水在雨季和旱季条件下扩散的差异,作为最后的输出是确定水的净化区。IDW方法能够通过基于距离的插值计算可视化水污染的传播,与其他方法相比,IDW方法的优点是计算是在输入值的最小限制和最大限制。本研究得到的结果是,在13个采样点中,有1个采样点的污染状况在雨季向旱季增加,即从重度到中度,1个采样点的污染状况从轻度到中度变化,7个采样点的污染状况从中度到重度变化,4个采样点的污染状况从轻度到重度变化。Branats拔都的上游河流退化区城市的距离2公里经历了做减少雨季和旱季期间,分解区Sunga上Brantas拔都城市的距离3公里6公里的雨季,在干燥季节条件下3 - 4公里,距离康复区Brantas河上拔都城市的距离7公里8公里在雨季和第5 - 11的距离4公里处,在旱季re-purification区,上巴图市布兰塔斯河沿岸11公里处没有净化区。关键词:分布预测净化区水污染
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