Investigation Of Emissions And Fuel Consumption In Diesel-Engine Vehicles During Idle Conditions DOI Creative Commons

S H Samsudin,

Shaharin Anwar Sulaıman, Samson Mekbib Atnaw

и другие.

Deleted Journal, Год журнала: 2024, Номер 8(1), С. 29 - 29

Опубликована: Март 30, 2024

Idling engines when automobiles are not moving leads to inefficient fuel consumption and may harm human health the environment. No scientific reports have evaluated effects of idling diesel on public wastage in Malaysia; thus, a study is required. This work aims characteristics emissions, heat dissipation, due operations diesel-engine vehicles under idle concerning The was conducted by measuring emissions during conditions using various instruments, namely gas analyser, particulate matter monitor, temperature sensor, meter at selected locations where heavy were commonly found left with engines. It that idling-vehicle vicinity pedestrians far higher than limits set Malaysia Ambient Air Quality Standard 2020, implying an unhealthy practice. levels also 15 200 times more standard limit. silent hazard would be detrimental public, leading problems. Furthermore, it lead hefty medical bills for government. emission high, discomfort issues passersby. From economic point view, waste from exorbitantly thus suggesting authorities should regulate practice Keywords: engine, wastage, emission, engines, pollutant

Язык: Английский

Impacts of Land Use Characteristics on Extreme Heat Events: Insights from Explainable Machine Learning Model DOI
Hangying Su, Zhuoxu Qi,

Q. Wang

и другие.

Sustainable Cities and Society, Год журнала: 2025, Номер unknown, С. 106139 - 106139

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

6

Rapid urbanization and meteorological changes are reshaping the urban vegetation pattern in urban core area: A national 315-city study in China DOI
Peng Zhang, Yulin Dong, Zhibin Ren

и другие.

The Science of The Total Environment, Год журнала: 2023, Номер 904, С. 167269 - 167269

Опубликована: Сен. 22, 2023

Язык: Английский

Процитировано

32

Modeling the intensity of surface urban heat island based on the impervious surface area DOI
Zitong Shi, Xuecao Li, Tengyun Hu

и другие.

Urban Climate, Год журнала: 2023, Номер 49, С. 101529 - 101529

Опубликована: Май 1, 2023

Язык: Английский

Процитировано

31

Characterizing the indicator-based, day-and-night, and climate-based variations in response of surface urban heat island during heat wave across global 561 cities DOI
Kangning Li,

Yunhao Chen

Sustainable Cities and Society, Год журнала: 2023, Номер 99, С. 104877 - 104877

Опубликована: Авг. 23, 2023

Язык: Английский

Процитировано

24

Classifying seasonal patterns of clear-sky surface urban heat island worldwide and investigating impacts from surface energy variations DOI
Kangning Li,

D. Lyu,

Yunhao Chen

и другие.

Sustainable Cities and Society, Год журнала: 2024, Номер 106, С. 105367 - 105367

Опубликована: Март 22, 2024

Язык: Английский

Процитировано

9

Understanding the differences in the effect of urbanization on land surface temperature and air temperature in China: insights from heatwave and non-heatwave conditions DOI Creative Commons
Nan Wang, Jiayue Chen, Tong He

и другие.

Environmental Research Letters, Год журнала: 2023, Номер 18(10), С. 104038 - 104038

Опубликована: Сен. 22, 2023

Abstract Accelerated urbanization and frequent heatwave events pose significant threats to human health. Analyses of the differences in air land surface temperature (LST) under extreme climates can aid understanding human-nature ecosystem coupling required adaptations climate change. In this study, we quantified urban rural temperatures China (CHW) non-heatwave periods (NHW) conditions influence meteorological factors on these differences. Based impervious data, 2421 stations were dynamically classified from 2008 2017. Heatwaves identified using relative thresholds, explored data MODIS LST data. For LST, urban–rural difference (U-R Tempdiff ) was highest during day, whereas peaks occurred at night, both NHW CHW conditions. During CHWs, daytime U-R greater for than temperature, reaching 4.24 ± 3.38 °C. At slightly lower (1.04 1.41 °C). The proportion contributed by significantly higher nights nights, remained relatively stable daytime. Spatially, north decreased with latitude, south lower. Under had a stronger effect smaller (0.01 °C yr −1 day larger (0.03 night. contribution that particularly (16.34%). effects wind speed precipitation average those CHW, accounting 16.13%, being more significant. These results show comprehensive perspective is needed understand risks associated rise risk formulate effective mitigation measures will they improve thermal comfort

Язык: Английский

Процитировано

16

Synergies or trade-offs between surface urban heat island and hot extreme: Distinct responses in urban environments DOI
Chen Yang, Shuqing Zhao

Sustainable Cities and Society, Год журнала: 2023, Номер 101, С. 105093 - 105093

Опубликована: Ноя. 29, 2023

Язык: Английский

Процитировано

15

Grading surface urban heat island and investigating factor weight based on interpretable deep learning model across global cities DOI Creative Commons
Kangning Li, Yunhao Chen, Jinbao Jiang

и другие.

Environment International, Год журнала: 2023, Номер 180, С. 108196 - 108196

Опубликована: Сен. 9, 2023

Significant urbanization resulted in increasing surface urban heat island (SUHI) that caused negative impacts on ecological environment, and residential comfort. Accurately monitoring the spatiotemporal variations understanding controls of SUHI were essential to propose effective mitigation measurements. However, grades across global cities remained unknown, which cloud greatly support for mitigations. Additionally, quantitative evaluating factor weights different indicators worldwide further investigations. Therefore, this paper proposed grading based agglomerative hierarchical clustering, quantified an interoperable machine learning named TabNet. There three major findings. (1) Global grouped into five grades, including SUCI (surface cool island), insignificant, low-value, medium-value, high-value indicating significant differences among grades. showed climate-based variations, wherein arid climate was dominated by grade at daytime but nighttime. (2) Vegetation difference important SUHII accounting 27%. Daytime frequency controlled vegetation difference, temperature, evaporation nighttime light, 78%. The factors albedo 45%. (3) Related contributed differently various weight △EVI gradually increased with while it maximum duration decreased low-value affected background climate, medium-value strongly impacted anthropogenic flux. diurnal contrast coupling effects wave discussed. This aimed provide information proposal.

Язык: Английский

Процитировано

14

Impacts of coordinated development policies on urban heat islands in the Beijing-Tianjin-Hebei urban agglomeration, China DOI
Wen Fang, Jianjun Cao, Asim Biswas

и другие.

Sustainable Cities and Society, Год журнала: 2024, Номер 112, С. 105614 - 105614

Опубликована: Июль 2, 2024

Язык: Английский

Процитировано

6

Evaluation of the intensity of urban heat islands during heat waves using local climate zones in the semi-arid, continental climate of Tehran DOI
Gholamreza Roshan,

Saleh Arekhi,

Zainab Bayganeh

и другие.

Urban Climate, Год журнала: 2024, Номер 56, С. 102079 - 102079

Опубликована: Июль 1, 2024

Язык: Английский

Процитировано

5