IDEAS home Printed from https://ideas.repec.org/a/gam/jlands/v13y2024i8p1273-d1454944.html
   My bibliography  Save this article

Harnessing Machine Learning Algorithms to Model the Association between Land Use/Land Cover Change and Heatwave Dynamics for Enhanced Environmental Management

Author

Listed:
  • Kumar Ashwini

    (Department of Civil Engineering Chaibasa Engineering College, Jhinkpani 833215, Jharkhand, India)

  • Briti Sundar Sil

    (Department of Civil Engineering, National Institute of Technology, Silchar 788010, Assam, India)

  • Abdulla Al Kafy

    (Department of Geography & the Environment, The University of Texas at Austin, 305 E 23rd St, Austin, TX 78712, USA)

  • Hamad Ahmed Altuwaijri

    (Department of Geography, College of Humanities and Social Sciences, King Saud University, Riyadh 11451, Saudi Arabia)

  • Hrithik Nath

    (Department of Civil Engineering, Khulna University of Engineering & Technology (KUET), Khulna 9203, Bangladesh
    Department of Civil Engineering, University of Creative Technology Chittagong (UCTC), Chattogram 4212, Bangladesh)

  • Zullyadini A. Rahaman

    (Department of Geography & Environment, Faculty of Human Sciences, Sultan Idris Education University, Tanjung Malim 35900, Malaysia)

Abstract

As we navigate the fast-paced era of urban expansion, the integration of machine learning (ML) and remote sensing (RS) has become a cornerstone in environmental management. This research, focusing on Silchar City, a non-attainment city under the National Clean Air Program (NCAP), leverages these advanced technologies to understand the urban microclimate and its implications on the health, resilience, and sustainability of the built environment. The rise in land surface temperature (LST) and changes in land use and land cover (LULC) have been identified as key contributors to thermal dynamics, particularly focusing on the development of urban heat islands (UHIs). The Urban Thermal Field Variance Index (UTFVI) can assess the influence of UHIs, which is considered a parameter for ecological quality assessment. This research examines the interlinkages among urban expansion, LST, and thermal dynamics in Silchar City due to a substantial rise in air temperature, poor air quality, and particulate matter PM 2.5 . Using Landsat satellite imagery, LULC maps were derived for 2000, 2010, and 2020 by applying a supervised classification approach. LST was calculated by converting thermal band spectral radiance into brightness temperature. We utilized Cellular Automata (CA) and Artificial Neural Networks (ANNs) to project potential scenarios up to the year 2040. Over the two-decade period from 2000 to 2020, we observed a 21% expansion in built-up areas, primarily at the expense of vegetation and agricultural lands. This land transformation contributed to increased LST, with over 10% of the area exceeding 25 °C in 2020 compared with just 1% in 2000. The CA model predicts built-up areas will grow by an additional 26% by 2040, causing LST to rise by 4 °C. The UTFVI analysis reveals declining thermal comfort, with the worst affected zone projected to expand by 7 km 2 . The increase in PM 2.5 and aerosol optical depth over the past two decades further indicates deteriorating air quality. This study underscores the potential of ML and RS in environmental management, providing valuable insights into urban expansion, thermal dynamics, and air quality that can guide policy formulation for sustainable urban planning.

Suggested Citation

  • Kumar Ashwini & Briti Sundar Sil & Abdulla Al Kafy & Hamad Ahmed Altuwaijri & Hrithik Nath & Zullyadini A. Rahaman, 2024. "Harnessing Machine Learning Algorithms to Model the Association between Land Use/Land Cover Change and Heatwave Dynamics for Enhanced Environmental Management," Land, MDPI, vol. 13(8), pages 1-30, August.
    • Handle: RePEc:gam:jlands:v:13:y:2024:i:8:p:1273-:d:1454944
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2073-445X/13/8/1273/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2073-445X/13/8/1273/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Kleerekoper, Laura & van Esch, Marjolein & Salcedo, Tadeo Baldiri, 2012. "How to make a city climate-proof, addressing the urban heat island effect," Resources, Conservation & Recycling, Elsevier, vol. 64(C), pages 30-38.
    2. Alireza Karimi & Pir Mohammad & Antonio García-Martínez & David Moreno-Rangel & Darya Gachkar & Sadaf Gachkar, 2023. "New developments and future challenges in reducing and controlling heat island effect in urban areas," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(10), pages 10485-10531, October.
    3. Sandeep Thakur & Debapriya Maity & Ismail Mondal & Ganesh Basumatary & Phani Bhushan Ghosh & Papita Das & Tarun Kumar De, 2021. "Assessment of changes in land use, land cover, and land surface temperature in the mangrove forest of Sundarbans, northeast coast of India," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(2), pages 1917-1943, February.
    4. Abdul Munaf Mohamed Irfeey & Hing-Wah Chau & Mohamed Mahusoon Fathima Sumaiya & Cheuk Yin Wai & Nitin Muttil & Elmira Jamei, 2023. "Sustainable Mitigation Strategies for Urban Heat Island Effects in Urban Areas," Sustainability, MDPI, vol. 15(14), pages 1-26, July.
    5. Kumar Ashwini & Briti Sundar Sil, 2022. "Impacts of Land Use and Land Cover Changes on Land Surface Temperature over Cachar Region, Northeast India—A Case Study," Sustainability, MDPI, vol. 14(21), pages 1-31, October.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Tsung-Ming Tsao & Jing-Shiang Hwang & Sung-Tsun Lin & Charlene Wu & Ming-Jer Tsai & Ta-Chen Su, 2022. "Forest Bathing Is Better than Walking in Urban Park: Comparison of Cardiac and Vascular Function between Urban and Forest Parks," IJERPH, MDPI, vol. 19(6), pages 1-15, March.
    2. Bohong Zheng & Rui Guo & Komi Bernard Bedra & Yanfen Xiang, 2022. "Quantitative Evaluation of Urban Style at Street Level: A Case Study of Hengyang County, China," Land, MDPI, vol. 11(4), pages 1-28, March.
    3. Susca, T. & Zanghirella, F. & Colasuonno, L. & Del Fatto, V., 2022. "Effect of green wall installation on urban heat island and building energy use: A climate-informed systematic literature review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 159(C).
    4. Vassiliades, C. & Savvides, A. & Buonomano, A., 2022. "Building integration of active solar energy systems for façades renovation in the urban fabric: Effects on the thermal comfort in outdoor public spaces in Naples and Thessaloniki," Renewable Energy, Elsevier, vol. 190(C), pages 30-47.
    5. Ying Zheng & Qiyao Han & Greg Keeffe, 2024. "An Evaluation of Different Landscape Design Scenarios to Improve Outdoor Thermal Comfort in Shenzhen," Land, MDPI, vol. 13(1), pages 1-17, January.
    6. Ehsan Daneshyar, 2024. "Residential Rooftop Urban Agriculture: Architectural Design Recommendations," Sustainability, MDPI, vol. 16(5), pages 1-34, February.
    7. Schneider, Philipp & Walz, Ariane & Albert, Christian & Lipp, Torsten, 2021. "Ecosystem-based adaptation in cities: Use of formal and informal planning instruments," Land Use Policy, Elsevier, vol. 109(C).
    8. Juan Manuel Núñez & Andrea Santamaría & Leonardo Avila & D. A. Perez-De La Mora, 2024. "Using Local Entropy Mapping as an Approach to Quantify Surface Temperature Changes Induced by Urban Parks in Mexico City," Land, MDPI, vol. 13(10), pages 1-16, October.
    9. Florian Reinwald & Christiane Brandenburg & Anna Gabor & Peter Hinterkörner & Astrid Kainz & Florian Kraus & Zita Ring & Bernhard Scharf & Tanja Tötzer & Doris Damyanovic, 2021. "Multi-Level Toolset for Steering Urban Green Infrastructure to Support the Development of Climate-Proofed Cities," Sustainability, MDPI, vol. 13(21), pages 1-23, November.
    10. Anette Shekanino & Avaleen Agustin & Annette Aladefa & Jason Amezquita & Demetri Gonzalez & Emily Heldenbrand & Alyssa Hernandez & Maximus May & Anthony Nuno & Joshua Ojeda & Ashley Ortiz & Taylor Pun, 2023. "Differential Stomatal Responses to Surface Permeability by Sympatric Urban Tree Species Advance Novel Mitigation Strategy for Urban Heat Islands," Sustainability, MDPI, vol. 15(15), pages 1-11, August.
    11. You Jin Kwon & Dong Kun Lee & You Ha Kwon, 2020. "Is Sensible Heat Flux Useful for the Assessment of Thermal Vulnerability in Seoul (Korea)?," IJERPH, MDPI, vol. 17(3), pages 1-26, February.
    12. Golnoosh Manteghi & Hasanuddin limit & Dilshan Remaz, 2015. "Water Bodies an Urban Microclimate: A Review," Modern Applied Science, Canadian Center of Science and Education, vol. 9(6), pages 1-1, June.
    13. Guo, Jinyu & Ma, Jinji & Li, Zhengqiang & Hong, Jin, 2022. "Building a top-down method based on machine learning for evaluating energy intensity at a fine scale," Energy, Elsevier, vol. 255(C).
    14. Maram Ahmed & Mohammed A. Aloshan & Wisam Mohammed & Essam Mesbah & Naser A. Alsaleh & Islam Elghonaimy, 2024. "Characterizing Land Surface Temperature (LST) through Remote Sensing Data for Small-Scale Urban Development Projects in the Gulf Cooperation Council (GCC)," Sustainability, MDPI, vol. 16(9), pages 1-23, May.
    15. Yang Zhang & Chao Zhang & Kun Yang & Zongqi Peng & Linfeng Tang & Haimei Duan & Changhao Wu & Yi Luo, 2022. "Temporal and Spatial Effects of Urbanization on Regional Thermal Comfort," Land, MDPI, vol. 11(5), pages 1-19, May.
    16. Zhang, Xin & Chen, Fanglin & Chen, Zhongfei & Zhang, Jie, 2024. "Temperature exposure and health inequality," Journal of Asian Economics, Elsevier, vol. 92(C).
    17. Alireza Karimi & Pir Mohammad & Antonio García-Martínez & David Moreno-Rangel & Darya Gachkar & Sadaf Gachkar, 2023. "New developments and future challenges in reducing and controlling heat island effect in urban areas," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(10), pages 10485-10531, October.
    18. Elias Naber & Rebekka Volk & Kai Mörmann & Denise Boehnke & Thomas Lützkendorf & Frank Schultmann, 2022. "Namares—A Surface Inventory and Intervention Assessment Model for Urban Resource Management," Sustainability, MDPI, vol. 14(14), pages 1-34, July.
    19. Cheng, Xuanmei & Ge, Fangting & Xu, Mark & Li, Ying, 2024. "The heat island effect, digital technology, and urban economic resilience: Evidence from China," Technological Forecasting and Social Change, Elsevier, vol. 209(C).
    20. Siddique, Sumaiya & Uddin, Md. Mahin, 2022. "Green space dynamics in response to rapid urbanization: Patterns, transformations and topographic influence in Chattogram city, Bangladesh," Land Use Policy, Elsevier, vol. 114(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jlands:v:13:y:2024:i:8:p:1273-:d:1454944. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.