Long-term trends and chemometric analysis of atmospheric air quality matrices in Nigeria (2003–2023) using NASA GIOVANNI satellite data

Deleted Journal, Journal Year: 2025, Volume and Issue: 7(5)

Published: May 2, 2025

Language: Английский

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Enhancing urban awareness for respiratory disease prevention: a socio-environmental approach to air pollution in Indonesia

Management of Environmental Quality An International Journal, Journal Year: 2025, Volume and Issue: unknown

Published: May 7, 2025

Purpose This study builds upon previous research that employed spatial modeling techniques to explore the link between urbanization drivers and respiratory disease exposure in DKI Jakarta. aims investigate whether there is a relationship condition of categories (J06–J022; J44–J44.9; J10–J18) socio-environmental factors. underpins extent which Material Social Deprivation Index (MSDI) indicators contribute reducing health among vulnerable populations, such as children elderly. Design/methodology/approach The analysis using Pearson’s correlation test Local Moran’s I autocorrelation method found strong J44 J44.9 Chronic Obstructive Pulmonary Disease (COPD) levels per 1,000 population city ( p = 0.05). Findings Optimal weighting Geographically Weighted Regression (GWR) models analyzing deprivation on MSDI revealed high reciprocity factors diseases. Bivariate statistics for material Dissemination Area (DA) J44–J44.9 identified Hotspot (H-H) detection pattern. means sensitivity trend component showed positive influence across three clusters In contrast, social seems decrease DA J06–J022 J10–J18 with Coldspot (L-L) pattern tends have negative insignificant Originality/value Therefore, play different roles influencing susceptibility sustained exposure.

Language: Английский

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Examining the Influence of Congestion, Industry, and Green Open Space on Air Quality Vulnerability in Towards Green Development in Jakarta

Innovation and Green Development, Journal Year: 2025, Volume and Issue: 4(3), P. 100247 - 100247

Published: May 9, 2025

Language: Английский

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Air Pollution Prediction Using Long Short-Term Memory Variants

Lecture notes on data engineering and communications technologies, Journal Year: 2024, Volume and Issue: unknown, P. 122 - 132

Published: Jan. 1, 2024

Language: Английский

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Quantification of Ecosystem Services from Urban Mangrove Forest: A Case Study in Angke Kapuk Jakarta

Forests, Journal Year: 2023, Volume and Issue: 14(9), P. 1796 - 1796

Published: Sept. 3, 2023

Coastal urban areas in Indonesia commonly encounter complex environmental problems, including bad air pollution and high risk of flooding due to sea level rise land subsidence. The existence mangrove forests potentially contributes mitigating the problems. Preserving coastal requires continuous support from all stakeholders, which can be strengthened by good understanding on comprehensive benefits provided these ecosystems. This study aims quantify key ecosystem services forest, with a case Angke Kapuk Jakarta. Four types were quantified, i.e., carbon storage, pollutant absorption, microclimate regulation, nature recreation. A vegetation survey was conducted 30 sample plots collect data for covers above-ground carbon, below-ground deadwood. absorption six pollutants (CO, NO2, O3, SO2, PM10, PM2.5) analysed using i-Tree Eco model. Field measurements temperature humidity, as well interviews 99 visitors, performed analyse regulation. found quantity storage within trees deadwood area (111.6 tonnes C/ha) amounts absorbed (11.3 tonnes/year). Mangrove effectively regulated conditions, indicated significant difference average daily humidity between inside outside forest. Meanwhile, number visitors benefiting its recreation has fluctuated during last five years, an 138,550 people per year. We discuss implications findings this forest management, how integrate quantification into preservation rehabilitation.

Language: Английский

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Determinants of PM2.5 Concentration in DKI Jakarta Province: A VAR Model Approach

Inferensi, Journal Year: 2024, Volume and Issue: 7(1), P. 27 - 27

Published: March 25, 2024

Air pollution in the DKI Jakarta Province is a serious issue as it related to public health and environmental concerns. Therefore, this research aims analyze causality of PM2.5 concentration with meteorological factors such air temperature, humidity, rainfall, wind speed. The data source used from MERRA-2 satellite, which provides information at spatial resolution 0.5° × 0.625°. covers period January 1, 1980, November 2023, hourly time intervals. variables involve response variable, well predictor analytical method employed Vector Autoregressive (VAR) approach, all are stationary level. constructed VAR model tends indicate that have low explanatory power for concentration, while changes itself sustained impacts both short long term. This suggests fluctuations not significantly influenced by factors.

Language: Английский

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Effects of Pollution and Transportation on Public Health in Jakarta

West Science Interdisciplinary Studies, Journal Year: 2023, Volume and Issue: 1(03), P. 22 - 26

Published: April 30, 2023

This study aims to investigate the impact of pollution and transportation on public health in Jakarta, Indonesia. Data was collected from a cross-sectional survey 500 residents including measurements exposure air noise pollution, behavior, status. The results showed that use private associated with higher while lower exposure. Exposure has also been linked poor outcomes such as respiratory cardiovascular diseases mental problems. findings highlight need for measures reduce promote transport active modes improve Jakarta. More research is needed long-term impacts identify effective interventions those impacts.

Language: Английский

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Exposure particulate matter (PM2.5) and health risk assessment on informal workers in landfill site, Indonesia

Environmental Challenges, Journal Year: 2023, Volume and Issue: 13, P. 100795 - 100795

Published: Nov. 17, 2023

This study investigates the extent of informal workers' exposure to PM2.5 and associated health risks in landfill. The location this investigation is a landfill, which unique characteristic developing countries, especially Indonesia. research was conducted landfills where few studies have been conducted. In location, many are workers cows. Workers sector continually exposed dust for working. To assess air quality, high volume sampler personal used measure particulate matter concentrations eight hours. Direct interviews with were determine effects exposure. concentration ranged from 87.5 1080 µg/m3, exceeding threshold value. real-time lifetime Risk Quotients (RQ) found be RQ > 1, risk causing problems, precisely 1.61 3.02, indicating that hazard posed substantial health. complaints cough (74.3%) headache (84.6%). addition, some respondents also reported symptoms respiratory infections, such as eye irritation (12.8%), shortness breath (12.8%) chest tightness (28.2%). Respiratory infection cough, headache, irritation, breathlessness, wheezing significantly dust. concludes increases landfill Informal workers. A management strategy required reduce protect workplace.

Language: Английский

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Spatial patterns of PM_2.5 air pollution in Jakarta: Insights from mobile monitoring

E3S Web of Conferences, Journal Year: 2024, Volume and Issue: 485, P. 06002 - 06002

Published: Jan. 1, 2024

A mobile air quality monitoring study in Jakarta was undertaken 2022 by the Clean Air Catalyst consortium, partnership with Google Earth Outreach and Aclima, taking pollution measurements using four specially equipped Street View cars. This aims to map street-level PM 2.5 a set of neighborhoods (polygons) throughout evaluate variability caused local emission sources observe exposure areas different income levels. To address these aims, we monitored concentration five days week, 8 am 5 pm, from September December eight polygons, stratified include high low-income areas. The cars covered distance 7,750 km at least 22 visits per location. concentrations were measured 1-second intervals light-scattering sensor. high-resolution data collection allowed for detailed analysis area. showed temporal consistent meteorological activity patterns Jakarta, higher morning compared afternoon most polygons. Median varied 2x - >5x within individual this particularly evident northern part encompassing both high-income neighborhoods, where are significantly affected traffic industrial activities. results demonstrate extent which exposures depend on proximity sources.

Language: Английский

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Air Quality Index Classification for Imbalanced Data using Machine Learning Approach

SISTEMASI, Journal Year: 2024, Volume and Issue: 13(3), P. 951 - 951

Published: May 13, 2024

Air pollution is one of the problems in society. pollutions affect human health and environment. In Indonesia, air quality index measured by level particulate matter 10 (PM10), carbon monoxide (CO), sulfur dioxide (SO2), ozone (O3), nitrogen (NO2). This research conducted to evaluate performance machine learning algorithms, e.g., Support Vector Machine (SVM), Naïve Bayes, Logistic Regression, Decision Tree, AdaBoost, classify based on PM10, CO, SO2, O3, NO2 with imbalanced samples. The classified into Good, Moderate, Unhealthy. dataset downloaded from Open Data Jakarta 2010 -2021. data containing 4383 samples consist 1155 3087 141 experimental results show that Tree outperforms other methods. produces accuracy, precision, recall, F1-score 99%, 98%, respectively.

Language: Английский

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