Understanding the multifaceted influence of urbanization, spectral indices, and air pollutants on land surface temperature variability in Hyderabad, India

被引:1
|
作者
Suthar, Gourav [1 ]
Singh, Saurabh [1 ,2 ]
Kaul, Nivedita [1 ]
Khandelwal, Sumit [1 ]
机构
[1] Malaviya Natl Inst Technol, Dept Civil Engn, Jaipur 302017, Rajasthan, India
[2] North Dakota State Univ, Dept Civil Construct & Environm Engn, Fargo, ND 58105 USA
关键词
Land surface temperature; Air pollutant; MODIS; Urban heat island; Regression; Correlation; URBAN HEAT-ISLAND; OZONE POLLUTION; SULFUR-DIOXIDE; PM2.5; INVERSIONS; MEGACITIES; IMPACT; DELHI;
D O I
10.1016/j.jclepro.2024.143284
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Hyderabad, similar to many cities worldwide, has experienced accelerated urbanization, leading to increased surface temperature and air pollution. The present study investigated the relationship between land surface temperature (LST) and various air pollutants, urbanization, surface indices, and meteorological parameters, which are associated with Sustainable Development Goals (SDGs), especially Goal 13 (Climate Action) and Goal 11 (Sustainable Cities and Communities). The effect of air pollution on LST across seasons was also examined for five years (2018-2022). LST images collected from MODIS satellite. Data on air pollutants and meteorological parameters were collected from air quality monitoring stations. The results showed that PM2.5 exceeded the WHO guidelines. A weak or moderate relationship was observed between LST and individual air pollutants. However, the association significantly improved when all air pollutants were considered simultaneously. The relationship improved even further when additional parameters such as Normalized Difference Built-up Index (NDBI), Normalized Difference Vegetation Index (NDVI), Digital Elevation Model (DEM), road line density (RLD), and global population density (GPD), were also included. The resulting relationship was very strong (R-2 > 0.80) during the summer and winter seasons. The study identified that NH3 had a prominent influence on LST during winter, while PM2.5 and NH3 exhibited a higher influence during summer. The research findings emphasized that LST variations were influenced by both air pollutants and meteorological conditions, along with urbanization factors represented by various parameters and indices. The research underscores the importance of considering these findings in future studies. It suggests the need to explore efficient approaches to address the combined problem of rising LST and concentration of air pollutants in urban areas.
引用
收藏
页数:16
相关论文
共 50 条
  • [21] Spatiotemporal variability of urban heat island: Influence of urbanization on seasonal pattern of land surface temperature in the Metropolitan Region of Belem, Brazil
    de Oliveira Souto, Jefferson Inayan
    Paiva Cohen, Julia Clarinda
    URBE-REVISTA BRASILEIRA DE GESTAO URBANA, 2021, 13
  • [22] Biennial variability of boreal spring surface air temperature over India
    Lakshma, Kethavath
    Konda, Gopinadh
    Chowdary, J. S.
    Gnanaseelan, C.
    ATMOSPHERIC RESEARCH, 2024, 311
  • [23] Machine learning assisted prediction of land surface temperature (LST) based on major air pollutants over the Annamayya District of India
    Mogaraju, Jagadish Kumar
    INTERNATIONAL JOURNAL OF ENGINEERING AND GEOSCIENCES, 2024, 9 (02): : 233 - 246
  • [24] Exploring the relationship of land surface parameters and air pollutants with land surface temperature in different cities using satellite data
    Bala, Ruchi
    Yadav, Vijay Pratap
    Kumar, D. Nagesh
    Prasad, Rajendra
    ADVANCES IN SPACE RESEARCH, 2024, 74 (07) : 2958 - 2975
  • [25] The influence of global sea surface temperature variability on the large-scale land surface temperature
    Nicholas L. Tyrrell
    Dietmar Dommenget
    Claudia Frauen
    Scott Wales
    Mike Rezny
    Climate Dynamics, 2015, 44 : 2159 - 2176
  • [26] The influence of global sea surface temperature variability on the large-scale land surface temperature
    Tyrrell, Nicholas L.
    Dommenget, Dietmar
    Frauen, Claudia
    Wales, Scott
    Rezny, Mike
    CLIMATE DYNAMICS, 2015, 44 (7-8) : 2159 - 2176
  • [27] Impact of land use/land cover on land surface temperature and its relationship with spectral indices in Dakahlia Governorate, Egypt
    Morsy, Salem
    Hadi, Mashaan
    INTERNATIONAL JOURNAL OF ENGINEERING AND GEOSCIENCES, 2022, 7 (03): : 272 - 282
  • [28] Geospatial analysis of unplanned urbanization: impact on land surface temperature and habitat suitability in Cuttack, India
    Patra, Prasanta Kumar
    Behera, Duryadhan
    Chettry, Vishal
    Jena, Krishna Manjari
    Goswami, Shreerup
    Jothimani, Muralitharan
    DISCOVER SUSTAINABILITY, 2025, 6 (01):
  • [29] Land surface temperature variability across India: a remote sensing satellite perspective
    Satya Prakash
    Hamid Norouzi
    Theoretical and Applied Climatology, 2020, 139 : 773 - 784
  • [30] Land surface temperature variability across India: a remote sensing satellite perspective
    Prakash, Satya
    Norouzi, Hamid
    THEORETICAL AND APPLIED CLIMATOLOGY, 2020, 139 (1-2) : 773 - 784