Numerical analysis of the impact of anthropogenic emissions on the urban environment of Singapore

Singh, Vivek Kumar; Mughal, Muhammad Omer; Martilli, Alberto; Acero, Juan A.; Ivanchev, Jordan; Norford, Leslie K.

doi:10.1016/j.scitotenv.2021.150534

Cited by 22 publications

(11 citation statements)

References 46 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Quantitatively, the comparison indicates a very small MBE, which is found at most sites. Values of RMSE are moderately larger but still within the range of what has been reported in other urban climate modelling studies over Singapore (Mughal et al, 2019;Simón-Moral et al, 2020;Singh et al, 2022). The moderately large RMSE may be due to the strong weather variability associated with the tropical climate (e.g., cloud cover change and precipitation).…”

Section: Model Evaluationsupporting

confidence: 77%

“…The results of this study indicate that the full fleet electrification (FE) produces a reduction in near-surface air temperature, which is moderate at the daily scale but substantial during the morning traffic peak (up to 0.6 °C). In this work, the estimated heat mitigation potential of EVs is lower than what found by Li et al (2015) but on the same order of what found by Singh et al (2022). Beside differences in climatic and traffic conditions, we argue that the estimation provided by Li et al (2015) may overestimate the heat mitigation potential of EVs due to oversimplification of the complex interactions between exhaust heat emissions and atmospheric dynamics.…”

Section: Heat Mitigation Potential Of Electric Vehiclessupporting

confidence: 39%

“…Currently, the Cooling Singapore project (Cooling Singapore, 2021) is performing an in-depth investigation on the urban climate impact of vehicular traffic in the city-state of Singapore. A preliminary modelling study shows that vehicular traffic has a small but considerable warming effect in the urban area of Singapore (Singh et al, 2022). Employing the Weather Research and Forecasting (WRF) model (Skamarock et al, 2005;Chen et al, 2011), previous studies found that traffic contributes up to 1.1 °C to near-surface air temperature and a full transition to EVs could produce a reduction up to 0.9 °C.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Do Electric Vehicles Mitigate Urban Heat? The Case of a Tropical City

Mussetti

Davin

Schwaab

et al. 2022

Front. Environ. Sci.

Self Cite

View full text Add to dashboard Cite

On top of their well known positive impact on air quality and CO2 emissions, electric vehicles generate less exhaust heat compared to traditional vehicles thanks to their high engine efficiency. As such, electric vehicles have the potential to mitigate the excessive heat in urban areas—a problem which has been exacerbated due to urbanisation and climate change. Still, the heat mitigation potential of electric vehicles has not been fully understood. Here, we combine high-resolution traffic heat emission inventories with an urban climate model to simulate the impact of the fleet electrification to the near-surface air temperature in the tropical city of Singapore. We show that a full replacement of traditional internal combustion engine vehicles with electric vehicles reduces the near-surface air temperature by up to 0.6°C. The heat mitigation potential is highest during the morning traffic peak and over areas with the largest traffic density. Interestingly, the reduction in exhaust heat emissions due to the fleet electrification during the evening traffic peak hardly leads to a reduction of near-surface air-temperatures, which is attributed to the different atmospheric conditions during morning and evening. This study presents a new quantification of the city-wide impact of electric vehicles on the air temperature in a tropical urban area. The results may support policy-makers toward designing holistic solutions to address the challenge of climate change adaptation and mitigation in cities.

show abstract

Section: Model Evaluationsupporting

confidence: 77%

Section: Heat Mitigation Potential Of Electric Vehiclessupporting

confidence: 39%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Do Electric Vehicles Mitigate Urban Heat? The Case of a Tropical City

Mussetti

Davin

Schwaab

et al. 2022

Front. Environ. Sci.

Self Cite

View full text Add to dashboard Cite

show abstract

“…The spatial distribution of high and low LST levels strongly influences regional climatic conditions. Previous studies show that the causes affecting LST changes are divided into three categories [ 16 ]: (1) land cover factors, including land use/land cover (LUCC) [ 17 ], land use intensity [ 18 ], land use landscape pattern [ 19 , 20 ], and vegetation cover [ 21 ]; (2) socio-economic factors, including anthropogenic heat and air pollution [ 22 , 23 ], population density [ 24 ], industrial layout [ 25 ], and energy consumption [ 26 ]; and (3) natural elements, including elevation [ 27 ], slope [ 28 ], precipitation [ 29 ], and light [ 30 ]. Numerous studies have shown that conditions such as a smaller density and shape of landscape pattern patches, higher vegetation cover, and more rivers and precipitation have a cooling effect on LST [ 31 ].…”

Section: Introductionmentioning

confidence: 99%

Spatial and Temporal Variation of Land Surface Temperature and Its Spatially Heterogeneous Response in the Urban Agglomeration on the Northern Slopes of the Tianshan Mountains, Northwest China

Zhang

Kasimu

Liang

et al. 2022

IJERPH

View full text Add to dashboard Cite

An in-depth study of the influence mechanism of oasis land surface temperature (LST) in arid regions is essential to promote the stable development of the ecological environment in dry areas. Based on MODIS, MYD11A2 long time series data from 2003 to 2020, the Mann–Kendall nonparametric test, the Sen slope, combined with the Hurst index, were used to analyze and predict the trend of LST changes in the urban agglomeration on the northern slopes of the Tianshan Mountains. This paper selected nine influencing factors of the slope, aspect, air temperature, normalized vegetation index (NDVI), precipitation (P), nighttime light index (NTL), patch density (PD), mean patch area (AREA_MN), and aggregation index (AI) to analyze the spatial heterogeneity of LST from global and local perspectives using the geodetector (GD) model and multi-scale geo-weighted regression (MGWR) model. The results showed that the average LSTs of the urban agglomeration on the northern slopes of the Tianshan Mountains in spring, summer, autumn, and winter were 31.53 °C, 47.29 °C, 22.38 °C, and −5.20 °C in the four seasons from 2003 to 2020, respectively. Except for autumn, the LST of all seasons showed an increasing trend, bare soil and grass land had a warming effect, and agricultural land had a cooling effect. The results of factor detection showed that air temperature, P, and NDVI were the dominant factors affecting the spatial variation of LST. The interaction detection results showed that the interaction between air temperature and NDVI was the most significant, and the two-factor interaction was more effective than the single-factor effect on LST. The MGWR model results showed that the effects of PD on LST were positively correlated, and the impact of AREA_MN and AI on LST were negatively correlated, indicating that the dense landscape of patches has a cooling effect on LST. Overall, this study provides information for managers to carry out more targeted ecological stability regulations in arid zone oases and facilitates the development of regulatory measures to maintain the cold island effect and improve the environment.

show abstract

“…In Pakistan's megacities, for example, surface UHII dropped by an average of 20%(Ali et al, 2021) (Table1). Most researchers relate this to lower human heat emissions since anthropogenic heat causes a 2-3°C increase in near-surface air temperature(Singh et al, 2022). This was highly supported by the case of Osaka, Japan that, when heat emissions from AC in business sectors decreased by 90.2 % during the city closure, the surface temperature dropped by 0.13°C(Nakajima et al, 2021).…”

mentioning

confidence: 96%

An overview of the impact of the COVID-19 pandemic on urban heat challenges

Wang

2022

IOP Conf. Ser.: Earth Environ. Sci.

View full text Add to dashboard Cite

This study aims to present an overview of the impact of COVID-19 on urban heat challenges. First, this study developed a framework for understanding the linkages between COVID-19 and urban heat challenges. In particular, the framework considered COVID-19 pandemic in aspects of anti-pandemic measures (restriction, protection, individual consciousness) and anti-pandemic periods (lockdown and normalization), and analyzed urban heat challenges in aspects hazards, mitigation, and adaptation and hazards. Built upon this, this study collected the evidence of the impact of the COVID-19 on urban heat challenges in air quality, energy, economy, heat illnesses, and adaptation and mitigation strategies. This study will allow government authorities and experts in various fields to recognize the increasing vulnerability of entire cities to high temperatures as a result of current anti-epidemic strategies. Meanwhile, it provides a reference to the development of a robust, effective, and stable system for addressing urban heat challenges during public health events.

show abstract

Numerical analysis of the impact of anthropogenic emissions on the urban environment of Singapore

Cited by 22 publications

References 46 publications

Do Electric Vehicles Mitigate Urban Heat? The Case of a Tropical City

Do Electric Vehicles Mitigate Urban Heat? The Case of a Tropical City

Spatial and Temporal Variation of Land Surface Temperature and Its Spatially Heterogeneous Response in the Urban Agglomeration on the Northern Slopes of the Tianshan Mountains, Northwest China

An overview of the impact of the COVID-19 pandemic on urban heat challenges

Contact Info

Product

Resources

About