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

Gaurav, Shubham; Shafia, A.; Hariharan, Bharath

doi:10.1088/1755-1315/169/1/012092

Cited by 6 publications

(3 citation statements)

References 15 publications

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“…km, is the capital of India. With a population density of 11,297 persons/km 2 in 2011, Delhi is one of the most populated and highly dense cities in the world (Gaurav et al, 2018;Jena et al, 2021). The city has an average annual growth rate in the population of 37.60% (The Census of India, 2011).…”

Section: Study Areamentioning

confidence: 99%

Effect of COVID-19-induced lockdown on NO2 pollution using TROPOMI and ground-based CPCB observations in Delhi NCR, India

Siddiqui

Chauhan

Halder

et al. 2022

Environ Monit Assess

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The present study investigates the reduction in nitrogen dioxide (NO 2 ) levels using satellite-based (Sentinel-5P TROPOMI) and ground-based (Central Pollution Control Board) observations of 2020. The lockdown duration, monthly, seasonal and annual changes in NO 2 were assessed comparing the similar time period in 2019. The study also examines the role of atmospheric parameters like wind speed, air temperature, relative humidity, solar radiation and atmospheric pressure in altering the monthly and annual values of the pollutant. It was ascertained that there was a mean reduction of ~ 61% (~ 66.5%), ~ 58% (~ 51%) in daily mean NO 2 pollution during lockdown phase 1 when compared with similar period of 2019 and pre-lockdown phase in 2020 from ground-based (satellite-based) measurements. April month with ~ 57% (~ 57%), summer season with ~ 48% (~ 32%) decline and an annual reduction of ~ 20% (~ 18%) in tropospheric NO 2 values were observed (p < 0.001) compared to similar time periods of 2019. It was assessed that the meteorological parameters remained almost similar during various parts of the year in 2019 and 2020, indicating a negligent role in reducing the values of atmospheric pollution, particularly NO 2 in the study area. It was concluded that the halt in anthropogenic activities and associated factors was mainly responsible for the reduced values in the Delhi conglomerate. Similar work can be proposed for other pollutants to holistically describe the pollution scenario as an aftermath of COVID-19-induced lockdown. Supplementary Information The online version contains supplementary material available at 10.1007/s10661-022-10362-8.

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Section: Study Areamentioning

confidence: 99%

Effect of COVID-19-induced lockdown on NO2 pollution using TROPOMI and ground-based CPCB observations in Delhi NCR, India

Siddiqui

Chauhan

Halder

et al. 2022

Environ Monit Assess

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“…Delhi is one of the most densely populated and aerosol-polluted urban environments [30] over the globe owing to a high population density (11,297 persons per sq. km) [31]- [33]. The administrative area of the National Capital Territory (NCT) Delhi is located between Haryana and Uttarakhand as depicted in Fig.…”

Section: Introductionmentioning

confidence: 99%

Gaseous air pollutants and its association with stubble burning: an integrated approach using ground and satellite based datasets and concentration weighted trajectory (CWT) analysis

Nirwan

Siddiqui

Shaeb

et al. 2023

Preprint

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The increase in intensity of anthropogenic activities in the world has induced increase in vulnerability to natural and man-made hazards, especially in densely populated metropolitan cities. Delhi faces severe health and infrastructure related issues due to the deteriorated air quality that worsens with variation in seasonal meteorological conditions. This study aims to identify the spatial sources of pollution contributing to Delhi and understand the role of anthropogenic activities and meteorological conditions in pollutant levels of the city in different years and seasons. This study assesses the variation in pollutant levels of CO, NO2 and SO2 in Delhi using ground and satellite observation data from 2018 to 2022. The pollutant levels are compared to the meteorological conditions to assess the role of environmental conditions in the change in pollutant levels along with its association to potentially contributing anthropogenic activities in and around Delhi region such as stubble burning in Punjab in 2019. The study further uses meteorological data and pollutant concentration data to develop back trajectories and carry out WCWT analysis that helps us identify the spatial hotspots contributing to the pollutant levels in Delhi on annual and seasonal basis. The exercise is carried out at winter, Pre-Monsoon, Monsoon, Post-Monsoon and Annual timespan for 2019 for 100m, 500m, 1000m and 1500m height above ground level composited to identify the spatially contributing hotspots. This study identifies the clear contributing hotspots in different seasons of 2019 and its overlap with observed active fire areas. This can help us segregate areas with similar fire intensity and varying contribution extent to pollutant levels of Delhi.

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“…The development pattern of Palembang's city started from the Musi riverbank towards the north. High population growth in cities and high intensity of activities trigger an increase in built-up areas (land use conversion) and vulnerability to the river subsystem (RSS) flood disasters in urban areas [11], [12], [13], [14]. The urban flood is caused by the imbalance of urban growth and urbanization with existing resources, and urban planning that is not well organized and integrated will lead to urban slum areas and a decrease in environmental quality [3], [15], [16], [17].…”

Section: Introductionmentioning

confidence: 99%

Inventory of River Basin Flood Events for Drainage System Examination Using Multi-Temporal Composite Remote Sensing Data

Hamim,

Gumano,

Sondang

et al. 2023

TEM Journal

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Palembang City is divided into two regions by the Musi river, and there are 114 tributaries streamed within Palembang City, with 31.58% located in the Seberang Ilir region and 68.42% in the Seberang Ulu region. In the lowland topography of Palembang City, with most of the region below 5 m above mean sea level, flooding becomes repetitive. This paper examines the flooded area within the Bendung river basin using multi-temporal composite remote sensing radar data from Sentinel 1. Flood events in November 2018 and December 2021 were selected. The flood extent and affected populations will be calculated using Google Earth Engine (GEE) and Geographic Information System (GIS) application. In this study, flood extent was delineated and compared for different digital elevation models. It is found that the threshold value, the DEM, and the availability of radar data in conjunction with the flood event will better delineate the affected area to the flood. The DEM contributed a 37.5% to 83% difference in the delineated area calculation. The script in the GEE is customizable for different areas of interest and can be applied to different areas with adjustments to the threshold value that should be a minimum of 1.0 or higher.

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

Cited by 6 publications

References 15 publications

Effect of COVID-19-induced lockdown on NO2 pollution using TROPOMI and ground-based CPCB observations in Delhi NCR, India

Effect of COVID-19-induced lockdown on NO2 pollution using TROPOMI and ground-based CPCB observations in Delhi NCR, India

Gaseous air pollutants and its association with stubble burning: an integrated approach using ground and satellite based datasets and concentration weighted trajectory (CWT) analysis

Inventory of River Basin Flood Events for Drainage System Examination Using Multi-Temporal Composite Remote Sensing Data

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