Impact of urbanization level on the interactions of urban area, the urban climate, and human thermal comfort

Morris, Kenobi Isima; Chan, Andy; Morris, Kwami Justina Kwami; Ooi, Maggie Chel Gee; Oozeer, Muhammad Yaasiin; Abakr, Yousif Abdalla; Nadzir, Mohd Shahrul Mohd; Mohammed, Isah Yakub; Al-Qrimli, Haidar Fadhil Abbas

doi:10.1016/j.apgeog.2016.12.007

Cited by 79 publications

(29 citation statements)

References 52 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The sharp increase in the number of motor vehicles in the resulting Klang Valley conurbation has resulted in a new central area circulation plan and a number of road projects. Land-use and land-cover changes combined with other contributing anthropogenic factors relating to the urbanisation and conurbation processes (traffic and waste heat from air conditioning systems, population increases) have modified the energy balance and induced spatiotemporal changes of urban climate in this area (Morris et al 2017a).…”

Section: Introductionmentioning

confidence: 99%

“…Morris et al 2017a, b;Ooi et al 2017a) to evaluate the urban heat island around Kuala Lumpur. These studies reached a general consensus: (1) the urban heat island intensity (UHII) is continually increasing, with estimates within the last decade varying between 4.2 °C (Morris et al 2017a) and 9.5 °C (Ahmad et al 2010); (2) the UHII is higher on the weekdays, highlighting the contribution of traffic-induced heating (Elsayed 2012a, b, c); (3) urban cool islands (for instance, in the vicinity of Lake Garden Park, or within older and leafier districts such as Kampung Baru;Sani 1972Sani , 1984 are reducing in size and in some cases disappearing altogether, primarily due to heavy traffic in and surrounding these areas (Elsayed 2012a, b;cf. Azid et al 2015) and (4) the warmest core of the city is shifting from around Chow Kit to the commercial district Puduraya, presumably due to the development of the Pudu Sentral Bus Terminal (Elsayed 2012a, c; cf.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Urban heat island modelling of a tropical city: case of Kuala Lumpur

Wang¹,

Aktaş²,

Stocker

et al. 2019

Geosci. Lett.

View full text Add to dashboard Cite

The steep increase in urban populations results in the spatial extent of cities expanding both horizontally and vertically. The climatic response of urban areas differs greatly to rural areas exposed to the same environmental conditions, with urban temperatures generally being higher, particularly in the late afternoon and evening. Coupled with the upward trend in global temperatures, urban heating can be classified as an atmospheric hazard that affects a high proportion of the population in some countries, which needs to be addressed through local and national government planning strategies. This study presents preliminary findings from a city scale urban climate model developed using the fast climate modelling tool ADMS-Urban for the city of Kuala Lumpur, Malaysia, which is known to suffer from substantial urban heating, and discusses the extent and intensity of the urban heat island in light of existing literature based on field measurements. The model has been configured to use surface characteristic data derived from land-use data as input, and through comparison with temperature variations derived from satellite imagery, the model is seen to clearly capture the spatial variation of temperature over the domain. The urban heat island intensities predicted by the model are comparable to the values reported in literature. This study also demonstrates the strong relationship between temperatures and wind speed, which is generally much lower in tropical Kuala Lumpur compared to mid-latitudes, and the urban heat island intensity and nocturnal cooling. The future modelling studies should account for anthropogenic heating, for instance, from air conditioning units and traffic, which are important sources of heat in tropical areas, and expand more on building materials and morphology for a thorough appraisal of urban heating in Kuala Lumpur.

show abstract

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Urban heat island modelling of a tropical city: case of Kuala Lumpur

Wang¹,

Aktaş²,

Stocker

et al. 2019

Geosci. Lett.

View full text Add to dashboard Cite

show abstract

“…Esmaili and Fallah Ghalhari, (2014) evaluated the bio-climatic conditions of the tourists in Mashhad (northeast of Iran), through the use of PET index on an hourly scale. Morris et al (2017) considered the impact of urbanization level on the interactions of the urban area, the urban climate, and human thermal comfort. Anđelković et al, (2016) proposed a new mathematical formulation of climate parameters for calculating the tourism climate comfort index (TCCI) and determined the appropriate destinations and favorable resorts for tourists in each month in Serbia.…”

Section: Introductionmentioning

confidence: 99%

Investigation of climate change impacts on tourism climate comfort in Iran

2018

Global NEST Journal

View full text Add to dashboard Cite

In this study, Mieczkowski's Tourism Climate Index (TCI) was used for Iran to investigate the climate change impacts on outdoor human comfort. The long-term data covering a network of 153 stations were used to compute TCI under baseline conditions and a climate change scenario (HadCM3-A1B) for 2016-2045. In this study LARS-WG was used for downscaling of large spatial resolution GCM outputs to a finer spatial resolution. User-friendly and multi-platform software which is called ITCIC (Iran Tourism Climate Index Calculator) was designed to calculate TCI. The spatial distribution of TCI for baseline and climate change conditions was investigated and the covered area by each TCI class was calculated by using ArcGIS 10. The annual distributions of TCI were investigated based on Scott and McBoyle (2001) Models. Also, a suite of multiple linear and non-linear regression models was used to determine the relationship between TCI, latitudes, longitudes and elevations of regions. Root mean square error (RMSE), mean error (ME), mean absolute relative error (MARE) and coefficient of determination (R 2 ) were used to evaluate the modeling accuracy. The best time and regions for outdoor activities in the base and future periods were determined. Comparison of the covered area by each TCI class in the base and future periods showed that the climate change occurrence was led to improving climate comfort. The results of error evaluation criteria showed that non-linear regression was appropriate for all month except January and October.

show abstract

“…The impact of urbanization level is highly correlated to the urban thermal environment [6,7]. While indoor and outdoor thermal comfort is key to occupant's utilization of the space, achieving outdoor thermal comfort is critical to human health and increased activity level through encouraging citizens to use the outdoor open spaces.…”

Section: Introductionmentioning

confidence: 99%

Vegetation Impact on Microclimate in Hot Climate Zones

Manneh¹,

Taleb²

2017

Proceedings of the 2nd World Congress on Civil, Structural, and Environmental Engineering

View full text Add to dashboard Cite

Computational modelling has been used to investigate the impact of vegetation on the microclimate in a campus courtyard in Qatar. Sixteen scenarios were tested during a hot day with over twenty thousand data entry points analysed for Air Temperature, Wind Speed, Mean Radiant Temperature and Predicted Mean Vote parameters. Trees provide direct shading, evapotranspiration and wind shielding which impacts thermal comfort conditions experienced locally as well as mitigating heat island effect. Vegetation has the ability to reduce excessive air temperature through sunlight interception. Its geometric configuration influences the amount of solar radiation, air temperature, humidity and wind velocity on microclimate of a given area. The study indicates that an equally distributed vegetation cover results in improved thermal comfort and a significant MRT reduction of 28.3C within the courtyard. The arrangement provides MRT improvement of 7.4C compared to the baseline scenario. The vegetation type also impacts the microclimate where trees of the same leaf density and higher trunk result in an increase of 0.2m/s in wind speed. The shaded grass areas witness a reduction of 1.1C of air temperature and 22C surface temperature compared to exposed hardscape. When replacing trees by shading structures, an increase of 3-5C MRT is witnessed along with an increase in reflected solar radiation. The study concluded that the placement of trees in a configuration that allows air movement and provision of shading as well as having an equally distributed vegetation cover are key to reduce both shortwave and long-wave radiation, avoid solar absorption and heat being trapped in the space.

show abstract

Impact of urbanization level on the interactions of urban area, the urban climate, and human thermal comfort

Cited by 79 publications

References 52 publications

Urban heat island modelling of a tropical city: case of Kuala Lumpur

Urban heat island modelling of a tropical city: case of Kuala Lumpur

Investigation of climate change impacts on tourism climate comfort in Iran

Vegetation Impact on Microclimate in Hot Climate Zones

Contact Info

Product

Resources

About