GIS-Based Urban Flood Risk Assessment and Management—A Case Study of Delhi National Capital Territory (NCT), India

Tomar, Pallavi; Singh, Suraj Kumar; Kanga, Shruti; Meraj, Gowhar; Kranjčić, Nikola; Đurin, Bojan; Pattanaik, A. B.

doi:10.3390/su132212850

Cited by 44 publications

(9 citation statements)

References 59 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The accuracy was assessed using the user's accuracy (manual classification accuracy), producer's accuracy, SVM classification accuracy and the kappa coefficient. The kappa coefficient (k) is mathematically expressed as [25][26][27][28]:…”

Section: Land Use and Land Cover Classificationmentioning

confidence: 99%

Understanding the Linkage between Urban Growth and Land Surface Temperature—A Case Study of Bangalore City, India

et al. 2022

Self Cite

View full text Add to dashboard Cite

Planning for a sustainable future involves understanding the past and present problems associated with urban centers. Rapid urbanization has caused significant adverse impacts on the environment and natural resources. In cities, one such impact is the unsettling urban growth, resulting in the urban heat island (UHI) effect, which causes considerable positive feedback in the climate system. It can be assessed by investigating the relationships between urban Land Use/Land Cover (LULC) changes and changes in land surface temperature. This study links the urban transformations in Bangalore, India, between 2001 and 2021, with the city’s changing average land surface temperatures. LULC classification was performed on Landsat satellite images for the years 2001, 2011, and 2021, using the support vector machine (SVM) classification algorithm. LULC change analysis revealed an increase in the built-up area coinciding with a decreasing trend of water bodies, vegetation, and the area under the others (wasteland/open land/barren land) category. The results show that built-up increased from 462.49 km2 to 867.73 km2, vegetation decreased from 799.4 km2 to 485.72 km2, and waterbody declined from 34.28 km2 to 24.69 km2 in 20 years. The impact of urbanization was evident in Bangalore’s land temperature changes between 2001 and 2021, showing the average temperature increased by 0.34 °C per year between the highest UHI events, contrary to 0.14 °C per year in non-urbanized areas. It is hoped that the results of this study can help the urban planners of Bangalore city identify critical areas where improvement in urban dwelling could be planned sustainably according to the global smart cities concept, an offshoot concept of the Sustainable Development Goal (SDG)-11.

show abstract

Section: Land Use and Land Cover Classificationmentioning

confidence: 99%

Understanding the Linkage between Urban Growth and Land Surface Temperature—A Case Study of Bangalore City, India

et al. 2022

Self Cite

View full text Add to dashboard Cite

show abstract

“…IDW produces surfaces by generating a neighborhood search of points and weighting these points by a power function, assuming that every input point has a local influence that reduces with distance [50]. Since the observation points were almost equally distributed, IDW was considered to be the appropriate interpolation technique as reported by various other workers [49][50][51][52][53][54][55]. Interpolation of the water table estimates was used to evaluate groundwater flow direction in pre-and post-monsoon seasons and determine the hydraulic gradient for estimating groundwater reserves.…”

Section: Methodsmentioning

confidence: 99%

Assessing the Groundwater Reserves of the Udaipur District, Aravalli Range, India, Using Geospatial Techniques

Shyam

Meraj

Kanga

et al. 2022

Water

Self Cite

View full text Add to dashboard Cite

Population increase has placed ever-increasing demands on the available groundwater (GW) resources, particularly for intensive agricultural activities. In India, groundwater is the backbone of agriculture and drinking purposes. In the present study, an assessment of groundwater reserves was carried out in the Udaipur district, Aravalli range, India. It was observed that the principal aquifer for the availability of groundwater in the studied area is quartzite, phyllite, gneisses, schist, and dolomitic marble, which occur in unconfined to semi-confined zones. Furthermore, all primary chemical ingredients were found within the permissible limit, including granum. We also found that the average annual rainfall days in a year in the study area was 30 from 1957 to 2020, and it has been found that there are chances to receive surplus rainfall once in every five deficit rainfall years. Using integrated remote sensing, GIS, and a field-based spatial modeling approach, it was found that the dynamic GW reserves of the area are 637.42 mcm/annum, and the total groundwater draft is 639.67 mcm/annum. The deficit GW reserves are 2.25 mcm/annum from an average rainfall of 627 mm, hence the stage of groundwater development is 100.67% and categorized as over-exploited. However, as per the relationship between reserves and rainfall events, surplus reserves are available when rainfall exceeds 700 mm. We conclude that enough static GW reserves are available in the studied area to sustain the requirements of the drought period. For the long-term sustainability of groundwater use, controlling groundwater abstraction by optimizing its use, managing it properly through techniques such as sprinkler and drip irrigation, and achieving more crop-per-drop schemes, will go a long way to conserving this essential reserve, and create maximum groundwater recharge structures.

show abstract

“…We obtained an overall accuracy for 1990 and 2020 equal to 80% and 81.45%, respectively. We used ArcGIS 10.2.1 to perform the GIS analysis [50,51]. Exploratory factor analysis is a multivariate technique widely used in geography and other social research [52].…”

Section: Component Variablesmentioning

confidence: 99%

Vulnerability and Risk Assessment to Climate Change in Sagar Island, India

Bera

Meraj

Kanga

et al. 2022

Water

Self Cite

View full text Add to dashboard Cite

Inhabitants of low-lying islands face increased threats due to climate change as a result of their higher exposure and lesser adaptive capacity. Sagar Island, the largest inhabited estuarine island of Sundarbans, is experiencing severe coastal erosion, frequent cyclones, flooding, storm surges, and breaching of embankments, resulting in land, livelihood, and property loss, and the displacement of people at a huge scale. The present study assessed climate change-induced vulnerability and risk for Sagar Island, India, using an integrated geostatistical and geoinformatics-based approach. Based on the IPCC AR5 framework, the proportion of variance of 26 exposure, hazard, sensitivity, and adaptive capacity parameters was measured and analyzed. The results showed that 19.5% of mouzas (administrative units of the island), with 15.33% of the population at the southern part of the island, i.e., Sibpur–Dhablat, Bankimnagar–Sumatinagar, and Beguakhali–Mahismari, are at high risk (0.70–0.80). It has been concluded that the island has undergone tremendous land system transformations and changes in climatic patterns. Therefore, there is a need to formulate comprehensive adaptation strategies at the policy- and decision-making levels to help the communities of this island deal with the adverse impacts of climate change. The findings of this study will help adaptation strategies based on site-specific information and sustainable management for the marginalized populations living in similar islands worldwide.

show abstract

GIS-Based Urban Flood Risk Assessment and Management—A Case Study of Delhi National Capital Territory (NCT), India

Cited by 44 publications

References 59 publications

Understanding the Linkage between Urban Growth and Land Surface Temperature—A Case Study of Bangalore City, India

Understanding the Linkage between Urban Growth and Land Surface Temperature—A Case Study of Bangalore City, India

Assessing the Groundwater Reserves of the Udaipur District, Aravalli Range, India, Using Geospatial Techniques

Vulnerability and Risk Assessment to Climate Change in Sagar Island, India

Contact Info

Product

Resources

About