| Issue |
E3S Web Conf.
Volume 483, 2024
The 3rd International Seminar of Science and Technology (ISST 2023)
|
|
|---|---|---|
| Article Number | 01013 | |
| Number of page(s) | 12 | |
| Section | Collaborative Contribution to Sustainable Environment | |
| DOI | https://doi.org/10.1051/e3sconf/202448301013 | |
| Published online | 31 January 2024 | |
The Spatio-Temporal of NO2 Density Weighting in The Region of Malang, East Java Province, Indonesia
Universitas Terbuka, Urban and Regional Planning Department, 15437 South Tangerang, Banten, Indonesia
* Corresponding author: gunturbagusp@ecampus.ut.ac.id
The paper aimed to present the spatio-temporal of NO2 Density Weighting during the period April 2022 – March 2023 (1 year) with weighting model in The Region of Malang, East Java Province, Indonesia. It is based on the remote sensing data of Sentinel-5p provided by ESA Copernicus Product. The data have been processed into the following indicators: low, small, and intermediate of NO2 density weighting. During the analysed period, low weight has continuously no constant, so that in the month of November 2022 there are mostly 3470.11 ha in Malang Region Area of which in this region part are raised about 95.83 %. Intermediate weight has significant reduction from 2926.96 ha in the month of July 2022 to 929.39 ha in the month of March 2023, therefore health plant increased considering the reduced area of NO2. As a conclusion, The Region of Malang is very closely developed commercial household, industrial processed, and energy production. Therefore, the Malang Region Government needs to be firm regarding the cultivation of protected areas such as green open space with various types of plant in it. In addition, the local government is also expected to always control industrial activities both on a factory and home scale.
Note to the reader: The email address of the corresponding author has been corrected according to the PDF, on February 2, 2024.
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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