Modeling Unhealthy Air Pollution Index Using a Peaks-Over-Threshold Method

Nasr Ahmed Al-Dhurafi, Nurulkamal Masseran, Zamira Hasanah Zamzuri, Ahmad Mahir Razali

Research output: Contribution to journalArticle

4 Citations (Scopus)

Abstract

The pollutants that significantly contribute in determining the value of unhealthy API and later to model the unhealthy air pollution index (API) and its critical dominants, using peaks over a threshold method that has been utilized in the highest polluted cities in peninsular Malaysia. Dependency between unhealthy API and its main dominants has been evaluated by the Pickands dependence function. The generalized Pareto distirbution (GPD) has been fit to all variables. The GPD fits well with all variables except O3 in Klang and Malacca. Results showed that PM10 and O3 are the underlying pollutants of unhealthy API values in three highly polluted areas of Peninsular Malaysia.

Original languageEnglish
Pages (from-to)101-110
Number of pages10
JournalEnvironmental Engineering Science
Volume35
Issue number2
DOIs
Publication statusPublished - 1 Feb 2018

Fingerprint

Air pollution
atmospheric pollution
modeling
pollutant
index
method

Keywords

  • critical pollutants
  • generalized Pareto model
  • peaks over threshold
  • Pickands dependence function
  • unhealthy air pollution index

ASJC Scopus subject areas

  • Environmental Chemistry
  • Waste Management and Disposal
  • Pollution

Cite this

Modeling Unhealthy Air Pollution Index Using a Peaks-Over-Threshold Method. / Al-Dhurafi, Nasr Ahmed; Masseran, Nurulkamal; Zamzuri, Zamira Hasanah; Razali, Ahmad Mahir.

In: Environmental Engineering Science, Vol. 35, No. 2, 01.02.2018, p. 101-110.

Research output: Contribution to journalArticle

@article{52ac363fb3164671975987d8f8c7feb7,
title = "Modeling Unhealthy Air Pollution Index Using a Peaks-Over-Threshold Method",
abstract = "The pollutants that significantly contribute in determining the value of unhealthy API and later to model the unhealthy air pollution index (API) and its critical dominants, using peaks over a threshold method that has been utilized in the highest polluted cities in peninsular Malaysia. Dependency between unhealthy API and its main dominants has been evaluated by the Pickands dependence function. The generalized Pareto distirbution (GPD) has been fit to all variables. The GPD fits well with all variables except O3 in Klang and Malacca. Results showed that PM10 and O3 are the underlying pollutants of unhealthy API values in three highly polluted areas of Peninsular Malaysia.",
keywords = "critical pollutants, generalized Pareto model, peaks over threshold, Pickands dependence function, unhealthy air pollution index",
author = "Al-Dhurafi, {Nasr Ahmed} and Nurulkamal Masseran and Zamzuri, {Zamira Hasanah} and Razali, {Ahmad Mahir}",
year = "2018",
month = "2",
day = "1",
doi = "10.1089/ees.2017.0077",
language = "English",
volume = "35",
pages = "101--110",
journal = "Environmental Engineering Science",
issn = "1092-8758",
publisher = "Mary Ann Liebert Inc.",
number = "2",

}

TY - JOUR

T1 - Modeling Unhealthy Air Pollution Index Using a Peaks-Over-Threshold Method

AU - Al-Dhurafi, Nasr Ahmed

AU - Masseran, Nurulkamal

AU - Zamzuri, Zamira Hasanah

AU - Razali, Ahmad Mahir

PY - 2018/2/1

Y1 - 2018/2/1

N2 - The pollutants that significantly contribute in determining the value of unhealthy API and later to model the unhealthy air pollution index (API) and its critical dominants, using peaks over a threshold method that has been utilized in the highest polluted cities in peninsular Malaysia. Dependency between unhealthy API and its main dominants has been evaluated by the Pickands dependence function. The generalized Pareto distirbution (GPD) has been fit to all variables. The GPD fits well with all variables except O3 in Klang and Malacca. Results showed that PM10 and O3 are the underlying pollutants of unhealthy API values in three highly polluted areas of Peninsular Malaysia.

AB - The pollutants that significantly contribute in determining the value of unhealthy API and later to model the unhealthy air pollution index (API) and its critical dominants, using peaks over a threshold method that has been utilized in the highest polluted cities in peninsular Malaysia. Dependency between unhealthy API and its main dominants has been evaluated by the Pickands dependence function. The generalized Pareto distirbution (GPD) has been fit to all variables. The GPD fits well with all variables except O3 in Klang and Malacca. Results showed that PM10 and O3 are the underlying pollutants of unhealthy API values in three highly polluted areas of Peninsular Malaysia.

KW - critical pollutants

KW - generalized Pareto model

KW - peaks over threshold

KW - Pickands dependence function

KW - unhealthy air pollution index

UR - http://www.scopus.com/inward/record.url?scp=85041551132&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85041551132&partnerID=8YFLogxK

U2 - 10.1089/ees.2017.0077

DO - 10.1089/ees.2017.0077

M3 - Article

AN - SCOPUS:85041551132

VL - 35

SP - 101

EP - 110

JO - Environmental Engineering Science

JF - Environmental Engineering Science

SN - 1092-8758

IS - 2

ER -