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Jurnal Geografi Lingkungan Tropik (Journal of Geography of Tropical Environments)

Abstract

Air pollution is a significant problem in many urban areas. WHO declares 91% of people in the world breathe unhealthy air. Bandung, as a metropolitan city continues to experience increased population growth is causing an increase in the land area, woke up and dropped in the green area. The raises the problem of the decline in air quality. This research aims to analyze the spatial distribution of pollutants in Bandung City and its relation to distribution patterns of land surface temperature, the building density, and density of vegetation. The data used in the form of pollutant levels and Landsat 8 images in the dry month of 2018. The methods used in the study of spatial interpolation methods of the form IDW, LST, NDBI, and NDVI. Statistical tests using correlation and regression. The results showed that the spatial distribution of CO concentrations showed a pattern that was spread almost the same in the dry month of 2018, namely at a relatively high land surface temperature and building density and relatively low vegetation density, high levels of pollutants. The results of statistical tests declared land surface temperature, the density of buildings and vegetation density correlated moderate level against the distribution of CO and regression results declared land surface temperature, the density of buildings and vegetation density there are influences that significantly to the distribution of CO.

Bahasa Abstract

Pencemaran udara merupakan permasalahan penting yang banyak terjadi di daerah perkotaan. WHO menyatakan 91% manusia di dunia menghirup udara tidak sehat. Kota Bandung sebagai kota metropolitan terus mengalami peningkatan pertumbuhan penduduk yang menyebabkan peningkatan luas lahan terbangun dan penurunan luas area hijau. Hal ini menimbulkan permasalahan penurunan kualitas udara. Penelitian ini bertujuan menganalisis secara spasial distribusi polutan di Kota Bandung dan hubungannya dengan pola persebaran suhu permukaan daratan, kerapatan bangunan dan kerapatan vegetasi. Metode yang digunakan pada penelitian ini metode spasial berupa interpolasi IDW, LST, NDBI, dan NDVI. Uji statistik menggunakan korelasi dan regresi. Hasil penelitian menunjukkan model spasial distribusi konsentrasi CO menunjukkan pola yang tersebar hampir sama pada bulan kering 2018 yaitu pada suhu permukaan daratan dan kerapatan bangunan yang relatif tinggi serta kerapatan vegetasi yang relatif rendah maka kadar polutan tinggi. Hasil uji statistik menyatakan suhu permukaan daratan, kerapatan bangunan dan kerapatan vegetasi berkorelasi cukup kuat terhadap distribusi Karbon Monoksida dan hasil regresi menyatakan suhu permukaan daratan, kerapatan bangunan dan kerapatan vegetasi terdapat pengaruh yang signifikan terhadap distribusi Karbon Monoksida.

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