
Prediction of spatial pollution load using the PLOAD Model
Author(s) -
Arya Rezagama,
Anik Sarminingsih,
S Sariffudin,
Hadi Hariyanto,
Carolina Raras Ajeng Daniswara,
D G Febbyany
Publication year - 2021
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/623/1/012102
Subject(s) - environmental science , watershed , pollutant , pollution , nonpoint source pollution , environmental engineering , wastewater , nitrate , population , water resource management , structural basin , hydrology (agriculture) , engineering , ecology , computer science , geotechnical engineering , geology , environmental health , machine learning , biology , medicine , paleontology
The rapidly growing population density has decreased water quality due to waste from human activities originating from industrial, agricultural, and household activities that produce waste. Non Point Sources pollutants are difficult to control because their formation is very complicated. The BASINS-PLOAD model is used to predict the amount of pollutant load and non-point sources based on spatial data. The pollution loading model using BASIN PLOAD shows good results. The estimated pollution load of Nitrate and Phosphate parameters in the Garang watershed from 2006 to 2012 and 2012 to 2017 increased. It was related by a massive increase in residential land area. Settlements produce domestic waste, which contains nitrate and phosphate parameters.