Development of an uncertain Gaussian diffusion model with its application to production-emission system management in coal-dependent city- a case study of Yulin, China

Zhu, Ying; Tong, Quanling; Yan, Xiaxia; Li, Y.X.

doi:10.1016/j.egypro.2019.01.993

Cited by 6 publications

(2 citation statements)

References 4 publications

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“…The number of crop burning spot correlates significantly to PM 2.5 situation in each region . In case of uncertainty context of PM 2.5 sources, an uncertain Gaussian diffusion model (UGD) should be applied to production-emission system (PES) for mitigating pressure on atmospheric control and managing multiplex data from industries, emission and period context (Zhu et al, 2019). The main purpose of network is sharing techniques and data to complete well policy simulation.…”

Section: Wongwatcharapaiboon: Review Articlementioning

confidence: 99%

Review Article: Toward Future Particulate Matter Situations in Thailand from Supporting Policy, Network and Economy

Wongwatcharapaiboon

2020

Future Cities and Environment

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In the era of climate uncertainty in 2019, PM 2.5 situations in Thailand are considered as big impacts to local livings in terms of health and well-being. This paper aims to investigate policies to decrease PM 2.5 levels and to examine reliable networking systems. International and domestic policies are literally found for controlling traffic emission, open burning activities, public health and industrial zoning, when strong satellite networks can be proved by the reliability and accuracy of PM 2.5 data collections, sources and chemicals identifications. Turning to financial loss during the PM 2.5 situation, cost estimations have been accounted in terms of environmental tax, pollution footprint, health mortality, public air cleaning payment, GDP and uncertainty cost of air pollution. The results related to policy can affect local social interventions, if policies match correctly to suitable techniques in this research series. Also real-time prospective warning of local PM 2.5 exceeding is required with accuracy, while all applicable methods are financially comparing in different contexts.

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Section: Wongwatcharapaiboon: Review Articlementioning

confidence: 99%

Review Article: Toward Future Particulate Matter Situations in Thailand from Supporting Policy, Network and Economy

Wongwatcharapaiboon

2020

Future Cities and Environment

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“…Ada beberapa metode yang digunakan untuk mengetahui pola persebaran gas buang hasil dari pembakaran batu bara. Salah satunya adalah dengan menggunakan Gaussian Model, dan dengan pendekatan model Plume dan Puff [9]. Model ini dapat memprediksi persebaran polutan (Xmax) pada jarak tertentu sehingga kita dapat mengetahui konsentrasi polutan di permukaan tanah (Ground Level Concentration Maximum) [10].…”

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Simulation of Dispersion Potential and Fatality Percentage of SO2 and CO2 Flue Gas from Combustion of Coal in West Lombok Power Plant using Gaussian Model

Amrullah

Oktaviananda²

2021

CHEMICA: Jurnal Teknik Kimia

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Pembangkit Listrik Tenaga Uap (PLTU) batu bara merupakan penyumbang terbesar emisi udara terhadap kelangsungan lingkungan dan dapat mengancam keberadaan makhluk hidup didalamnya. Pembakaran batu bara menghasilkan gas buang yang sangat berbahaya bagi makhluk hidup, dimana dari pembakarannya dihasilkan gas buang berupa CO2, NOx, SOx, dan impuritis yang notabene merupakan gas yang sangat berbahaya bagi lingkungan. Hal ini semakin diperparah dengan kebijakan pemerintah Indonesia tentang ketahanan energi. Namun di lain pihak Pemerintah telah berkomitmen untuk merealisasikan penyediaan listrik sebesar 35 ribu Megawatt (MW) dalam jangka waktu 5 tahun (2014)(2015)(2016)(2017)(2018)(2019), walaupun sampai sekarang masih berjalan. Sepanjang 5 tahun tersebut, pemerintah

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Learning with deep Gaussian processes and homothety in weather simulation

Coulibaly

Kounta

Kamsu-Foguem

et al. 2022

Neural Comput & Applic

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Development of an uncertain Gaussian diffusion model with its application to production-emission system management in coal-dependent city- a case study of Yulin, China

Cited by 6 publications

References 4 publications

Review Article: Toward Future Particulate Matter Situations in Thailand from Supporting Policy, Network and Economy

Review Article: Toward Future Particulate Matter Situations in Thailand from Supporting Policy, Network and Economy

Simulation of Dispersion Potential and Fatality Percentage of SO2 and CO2 Flue Gas from Combustion of Coal in West Lombok Power Plant using Gaussian Model

Learning with deep Gaussian processes and homothety in weather simulation

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