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Handika, Rendi
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Agriculture, Biological Sciences & Forestry Chemical Engineering, Chemistry & Bioengineering Earth & Planetary Sciences Engineering Environmental Science

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Air Quality Assessment Based on Real-Time Continuous Monitoring: Particulate and Nitrogen Dioxide Concentrations in South Tangerang Ihsan, Iif Miftahul; Ma'rufatin, Anies; Zahroh, Nyayu Fatimah; Ikhsan, Iik Nurul; Suwedi, Nawa; Pratama, Reba Anindyajati; Adhi, Rizky Pratama; Handika, Rendi; Lusia, Akira; Nishihashi, Masahide; Terao, Yukio; Hashimoto, Shigeru; Nara, Hideki; Mukai, Hitoshi
Jurnal Teknologi Lingkungan Vol. 26 No. 1 (2025)
Publisher : BRIN Publishing (Penerbit BRIN)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55981/jtl.2025.2887

Abstract

The increasing concentration of PM2.5, PM10, and NO2 in urban areas will impact human health. Measuring and calculating the concentration of PM2.5, PM10, and NO2 is one of the efforts to control pollution because it can obtain information on the status or category of these air pollutants. Therefore, this study aims to analyze air quality, including PM2.5, PM10, and NO2 particulates calculated based on the Air Quality Index. Pollutant measurements are carried out continuously and in real-time for 24 hours. Pollutant measurements use a continuous dichotomous aerosol chemical speciation analyzer (ACSA-14) tool placed in the BJ Habibie Science and Technology Area, Serpong, South Tangerang. Analysis of PM2.5, PM10, and NO2 concentrations were analyzed to obtain the average daily concentration during the measurement period and the ISPU method was regulated in the Regulation of the Minister of Environment and Forestry Number 14 of 2020. During the measurement period, the daily average concentrations of PM2.5, PM10, and NO2 were 40.0 μg/m3, 60.4 μg/m3, and 37.4 μg/m3, respectively, with the highest concentrations of 170.8 μg/m3, 336.0 μg/m3, 647.5 μg/m3. The moderate and unhealthy categories dominated the results of the ISPU PM2.5 analysis during the measurement period, respectively, at 55.5% and 23.0%. The good and moderate categories dominate the ISPU PM10 and NO2 analysis results, namely 38.0% and 52.2% for PM10 and 82.5% and 7.5% for NO2, respectively.
Combined Land Subsidence Analysis in Jakarta Based on Ps-InSAR and MICMAC Methods Handika, Rendi; Widodo, Joko; Pravitasari, Andrea Emma
Jurnal Teknologi Lingkungan Vol. 25 No. 1 (2024)
Publisher : BRIN Publishing (Penerbit BRIN)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55981/jtl.2024.1125

Abstract

Penurunan muka tanah menjadi salah satu masalah di kota-kota pesisir delta di dunia, seperti Jakarta. Di kota ini, penurunan tanah sudah merata di seluruh wilayah. Berbagai faktor penyebab penurunan muka tanah dapat menimbulkan dampak secara ekologi, ekonomi, maupun sosial. Dampak yang terjadi umumnya berupa retaknya bangunan dan perluasan banjir. Oleh karena itu, kami perlu melakukan pengukuran dan pemantauan secara cepat dan berkala. Persistent Scatterer Interferometry Synthetic Aperture Radar (PS-InSAR) ialah metode yang digunakan untuk mendeteksi besaran nilai penurunan muka tanah di daerah perkotaan. Metode ini mampu menghasilkan gambar SAR dari distribusi ribuan titik pantau identifikasi faktor penyebab penurunan muka tanah di Jakarta. Hasil PS-InSAR terdeteksi nilai laju penurunan muka tanah rata-rata sebesar -5,71 cm/tahun, yang dominan berada di wilayah Jakarta Utara dan Jakarta Barat. Terdapat beberapa faktor penyebab penurunan muka tanah, kami melakukan analisis faktor ini menggunakan metode MICMAC (Matrix of Cross Impact Multiplications Applied to a Classification). Metode ini membantu mengidentifikasi hubungan dan relevansi antar faktor penyebab penurunan muka tanah. Hasil metode ini menunjukkan bahwa eksploitasi air tanah berlebihan dan konsolidasi alami tanah aluvial sebagai faktor yang berpengaruh signifikan terjadinya penurunan muka tanah di wilayah Jakarta. Abstract Land subsidence is one of the problems in delta coastal cities in the world, such as Jakarta. In this city, land subsidence has been evenly distributed throughout the region. Various factors causing land subsidence can have ecological, economic, and social impacts. The impacts that occur generally include the cracking of buildings and the expansion of flooding. Therefore, we need to carry out measurements and monitoring quickly and regularly. Persistent Scatterer Interferometry Synthetic Aperture Radar (PS-InSAR) is a method used to detect the magnitude of land subsidence in urban areas. This method is capable of producing SAR images from the distribution of thousands of monitoring points to identify factors causing land subsidence in Jakarta. PS-InSAR results detected an average land subsidence rate of -5.71 cm/year, which was dominant in the North Jakarta and West Jakarta areas. Several factors cause land subsidence, we analyzed these factors using the MICMAC (Matrix of Cross Impact Multiplications Applied to a Classification) method. This method helps identify the relationship and relevance between factors causing land subsidence. The results of this method produce excessive groundwater exploitation and natural consolidation of alluvial soil as factors that have a significant influence on land subsidence in the Jakarta area.
Co-Authors Adhi, Rizky Pratama Andrea Emma Pravitasari, Andrea Emma Djoko Widodo Hashimoto, Shigeru Ihsan, Iif Miftahul Ikhsan, Iik Nurul Lusia, Akira Ma'rufatin, Anies Mukai, Hitoshi Nara, Hideki Nawa Suwedi Nishihashi, Masahide Nyayu Fatimah Zahroh, Nyayu Fatimah Reba Anindyajati Pratama, Reba Anindyajati Terao, Yukio