Abstract

The population density as consequences of urbanisation in certain area may cause the occurrence of land utility shifting from natural site to impervious. Thus, this imperivious cover can be used as indicator of environment quality, particularly the water quality, such being the case of Jakarta, that 80% of ground water sample in Jakarta has been contaminated by E.Coli. Due to this condition, there are indicators which might be correlated with the water quality, namely building coverage ratio (BCR) and demographic factors such as population and building density. This study argues the influence of those three factors toward the ground water quality. The aim of this study is to formulate a spatial regression-correlation model between those three factors with the main indicator of water quality, namely E.Coli. The sampling data were obtained from a densely populated areas in Duren Sawit sub-district, in Jakarta. In term of statistical process, Geographically Weighted Regression (GWR) was used to analyse the spatial data. The result suggested that the value of R2 at 68.9% and the largest influence of E.Coli value in this models was more affected by the BCR rather than by demographic factors. This outcome would be an early recommendation for Jakarta.

Highlights

  • The land transfer function in urban areas tends to increase the surface area with the closure of cement, asphalt, and waterproof area [1,2]

  • The building density and building coverage ratio ( BCR ) increased, which is caused by a higher population density in the middle of the constant variable of land areas

  • This study was designed to determine the influence of building coverage ratio, population density and building density toward the ground water quality

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Summary

Introduction

The land transfer function in urban areas tends to increase the surface area with the closure of cement, asphalt, and waterproof area (impervious) [1,2]. Returning briefly to the environmental issues, DKI Jakarta become one of the largest metropolitan cities which experienced with the biggest impact of development This condition was illustrated by its rate of city growth and development which is higher than other cities [10]. The building density and building coverage ratio ( BCR ) increased, which is caused by a higher population density in the middle of the constant variable of land areas For those purpose, this study attempts to obtain a spatial regression correlation model among the variables of population density, the building density, and the building coverage ratio, toward one main indicator of water quality, that is E.Coli bacteria in urban area. The outcome of this study is expected would be able to deliver a positive contribution and the policy direction related to the law enforcement

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