Anticipating urbanization-led land cover change and its impact on local climate using time series model: a study on Dhaka city

Urbanization-led changes in natural landscape often result in environmental degradation and subsequently contribute to local climate variability. Therefore, apart from global climate change, Dhaka city’s ongoing rapid urban growth may result in altering future local climate patterns significantly....

Descripción completa

Guardado en:
Detalles Bibliográficos
Autor principal: Ripan Debnath
Formato: article
Lenguaje:EN
Publicado: The White Horse Press 2020
Materias:
Acceso en línea:https://doaj.org/article/cf4c651a1c15444db8e807740bc7cd79
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
id oai:doaj.org-article:cf4c651a1c15444db8e807740bc7cd79
record_format dspace
spelling oai:doaj.org-article:cf4c651a1c15444db8e807740bc7cd792021-12-02T19:08:47ZAnticipating urbanization-led land cover change and its impact on local climate using time series model: a study on Dhaka city2398-54882398-5496https://doaj.org/article/cf4c651a1c15444db8e807740bc7cd792020-06-01T00:00:00Zhttps://whp-journals.co.uk/JPS/article/view/649https://doaj.org/toc/2398-5488https://doaj.org/toc/2398-5496 Urbanization-led changes in natural landscape often result in environmental degradation and subsequently contribute to local climate variability. Therefore, apart from global climate change, Dhaka city’s ongoing rapid urban growth may result in altering future local climate patterns significantly. This study explores transition relationships between urbanization (population), land cover, and climate (temperature) of Dhaka city beginning in 1975 through to forecast scenarios up to 2035. Satellite image, geographic, demographic, and climatic data were analyzed. Change in core urban land cover (area) was regarded as a function of population growth and was modeled using linear regression technique. The study developed and validated a time series (ARIMA) model for predicting mean maximum temperature change where (forecasted) land cover scenarios were regressors. Throughout the studied period, the city exhibited an increasing urbanization trend that indicated persistent growth of core urban land cover in future. As a result, the city’s mean maximum temperature was found likely to increase by around 1.5-degree Celsius during 2016–2035 on average from that of observed 1996–2015 period. It is expected that findings of this study may help in recognizing urbanization-led climate change easily, which is crucial to effective climate change management actions and urban planning. Ripan DebnathThe White Horse Pressarticleurbanizationland coverclimate changetime series modelDhaka cityEnvironmental sciencesGE1-350Demography. Population. Vital eventsHB848-3697ENThe Journal of Population and Sustainability, Vol 4, Iss 2 (2020)
institution DOAJ
collection DOAJ
language EN
topic urbanization
land cover
climate change
time series model
Dhaka city
Environmental sciences
GE1-350
Demography. Population. Vital events
HB848-3697
spellingShingle urbanization
land cover
climate change
time series model
Dhaka city
Environmental sciences
GE1-350
Demography. Population. Vital events
HB848-3697
Ripan Debnath
Anticipating urbanization-led land cover change and its impact on local climate using time series model: a study on Dhaka city
description Urbanization-led changes in natural landscape often result in environmental degradation and subsequently contribute to local climate variability. Therefore, apart from global climate change, Dhaka city’s ongoing rapid urban growth may result in altering future local climate patterns significantly. This study explores transition relationships between urbanization (population), land cover, and climate (temperature) of Dhaka city beginning in 1975 through to forecast scenarios up to 2035. Satellite image, geographic, demographic, and climatic data were analyzed. Change in core urban land cover (area) was regarded as a function of population growth and was modeled using linear regression technique. The study developed and validated a time series (ARIMA) model for predicting mean maximum temperature change where (forecasted) land cover scenarios were regressors. Throughout the studied period, the city exhibited an increasing urbanization trend that indicated persistent growth of core urban land cover in future. As a result, the city’s mean maximum temperature was found likely to increase by around 1.5-degree Celsius during 2016–2035 on average from that of observed 1996–2015 period. It is expected that findings of this study may help in recognizing urbanization-led climate change easily, which is crucial to effective climate change management actions and urban planning.
format article
author Ripan Debnath
author_facet Ripan Debnath
author_sort Ripan Debnath
title Anticipating urbanization-led land cover change and its impact on local climate using time series model: a study on Dhaka city
title_short Anticipating urbanization-led land cover change and its impact on local climate using time series model: a study on Dhaka city
title_full Anticipating urbanization-led land cover change and its impact on local climate using time series model: a study on Dhaka city
title_fullStr Anticipating urbanization-led land cover change and its impact on local climate using time series model: a study on Dhaka city
title_full_unstemmed Anticipating urbanization-led land cover change and its impact on local climate using time series model: a study on Dhaka city
title_sort anticipating urbanization-led land cover change and its impact on local climate using time series model: a study on dhaka city
publisher The White Horse Press
publishDate 2020
url https://doaj.org/article/cf4c651a1c15444db8e807740bc7cd79
work_keys_str_mv AT ripandebnath anticipatingurbanizationledlandcoverchangeanditsimpactonlocalclimateusingtimeseriesmodelastudyondhakacity
_version_ 1718377177478594560