Strategy for mitigating health and environmental risks from vehicle emissions in South Tangerang
Ernyasih , Anwar Mallongi , Anwar Daud , Sukri Palutturi , Stang , Abdul Razak Thaha , Erniwati Ibrahim , Wesam Al Madhoun , Andriyani
AIMS Environmental Science ›› 2023, Vol. 10 ›› Issue (6) : 794 -808.
Increasing emissions from mobile sources have become a major focus in terms of health, environmental sustainability, and climate change. South Tangerang City is the Indonesian city with the highest yearly average pollution level. This study's objectives are to quantify the levels of pollutant concentrations that endanger human health and the environment and to devise a plan for reducing the pollution brought on by vehicle emissions. This study used an analytic observational research design. Data was taken from 32 points in 7 sub-districts in the city of South Tangerang with human and environmental samples. Human samples using the Hazard Quotient. Data is processed using Stella for the next 30 years. HQ value of PM2.5, NO2, SO2, and CO pollution has risen to greater than 1, endangering human health. CO and PM2.5, with HQ values of 3.315 and 1.644, both present serious health concerns. The accumulation of PM2.5, NO2, SO2, and CO pollutants over the next 30 years will have a substantial impact on South Tangerang's environmental conditions. South Tangerang could encourage the growth of a smart city by supporting the use of electric vehicles. Human health is at risk due to the increase in the HQ value of PM2.5, NO2, SO2, and CO pollution above 1. The environmental conditions in South Tangerang be significantly impacted by PM2.5, NO2, SO2, and CO pollutants over the ensuing 30 years. A mitigation strategy is needed in the form of smart transportation in the form of electric vehicles
vehicle emission / pollution / ecological and health risk / strategy mitigation / electric vehicles
| [1] |
|
| [2] |
He M, Zhong Y, Chen Y, |
| [3] |
|
| [4] |
|
| [5] |
|
| [6] |
|
| [7] |
Danish, Baloch Muhammad A, Suad S (2018) Modeling the impact of transport energy consumption on CO2 emission in Pakistan: Evidence from ARDL approach . Environ Sci Pollut Res 25: 9461-9473. https://doi.org/10.1007/s11356-018-1230-0 |
| [8] |
|
| [9] |
|
| [10] |
|
| [11] |
|
| [12] |
|
| [13] |
|
| [14] |
|
| [15] |
Guney T (2019) Renewable energy, non-renewable energy and sustainable development. Int J of Sustain Dev World Ecol 26: 389-397. https://doi.org/10.1080/13504509.2019.1595214 |
| [16] |
|
| [17] |
|
| [18] |
|
| [19] |
|
| [20] |
|
| [21] |
U S Department of Transportation, Bureau of Transportation Statistics (2022) Transportation Statistics Annual Report. https://doi.org/https://doi.org/10.21949/1528354 |
| [22] |
Arias S, |
| [23] |
|
| [24] |
|
| [25] |
|
| [26] |
|
| [27] |
Ernyasih, |
| [28] |
|
| [29] |
|
| [30] |
|
| [31] |
|
| [32] |
The economic consequences of air pollution (2016) OECD . https://doi.org/10.1016/0013-9327(78)90018-6 |
| [33] |
|
| [34] |
|
| [35] |
|
| [36] |
|
| [37] |
|
| [38] |
|
| [39] |
|
| [40] |
|
| [41] |
|
| [42] |
|
| [43] |
BPS (2019) Kota Tangerang Selatan dalam Angka . BPS Kota Tangerang Selatan |
| [44] |
|
| [45] |
|
| [46] |
|
| [47] |
|
| [48] |
|
| [49] |
|
| [50] |
|
| [51] |
|
| [52] |
Mallongi A, |
| [53] |
|
| [54] |
|
| [55] |
Khreis H, De Hoogh K, Nieuwenhuijsen M J (2018) Full-chain health impact assessment of traffic-related air pollution and childhood asthma. Environ Int 114: 365-375. https://doi.org/10.1016/j.envint.2018.03.008 |
| [56] |
|
| [57] |
|
| [58] |
|
| [59] |
|
| [60] |
Ernyasih, |
| [61] |
|
| [62] |
|
| [63] |
|
| [64] |
|
| [65] |
|
| [66] |
|
| [67] |
|
| [68] |
|
| [69] |
|
| [70] |
|
| [71] |
|
| [72] |
|
| [73] |
|
/
| 〈 |
|
〉 |