Urban growth pattern with urban flood and temperature vulnerability using AI: a case study of Delhi

9th IGRSM International Conference and Exhibition on Geospatial & Remote Sensing

地球科学;计算机科学

Gaurav, S.^1 ; Shafia, A.^1 ; Bharath, H.A.^1

Ranbir and Chitra Gupta School of Infrastructure Design and Management, Indian Institute of Technology Kharagpur, West Bengal

721302, India^1

关键词: Agent-based analysis;    Irreversible damage;    Land surface temperature;    Landscape dynamics;    Remote sensing data;    Spatio-temporal changes;    Sustainable management;    Urban growth patterns;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/169/1/012092/pdf
DOI  :  10.1088/1755-1315/169/1/012092

学科分类：计算机科学（综合）

来源: IOP

【 摘 要 】

Urbanisation and its growth patterns are attribute of spatio-temporal changes in an area. Rapid and irreversible urbanization is the primary driver in changing landscape dynamics of the urban areas causing significant damage to the natural ecosystems. Cities in India are experiencing extensive urban growth and change through increasing population, changing social aspects, geographical influence, and increased complexity. This paper aims at modelling urban expansion through agent-based analysis considering the effect on the phenomenon of urban flood and urban heat island formation. Urban pattern analysis was analysed using temporal remote sensing data for the period 2003-2017. The results obtained depict that urban footprint has increased by 49.7% whereas vegetation has decreased by 27% in the study region. The study also identified various zones vulnerable to urban flood and land surface temperature variation in the region. This analysis would aid in managing urban stress and irreversible damages that it may cause to the environment through structural and non-structural measures, which can significantly help in sustainable management of natural resources.