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Pregled bibliografske jedinice broj: 1158877

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, Amitanshu
GIS-Based Urban Flood Risk Assessment and Management—A Case Study of Delhi National Capital Territory (NCT), India // Sustainability, 13 (2021), 22; 1-20 doi:10.3390/su132212850 (međunarodna recenzija, članak, znanstveni)


CROSBI ID: 1158877 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

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

Autori
Tomar, Pallavi ; Singh, Suraj Kumar ; Kanga, Shruti ; Meraj, Gowhar ; Kranjčić, Nikola ; Đurin, Bojan ; Pattanaik, Amitanshu

Izvornik
Sustainability (2071-1050) 13 (2021), 22; 1-20

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
Yamuna river ; urban flood management ; warning tool ; decisional support system (DSS)

Sažetak
Urban floods are very destructive and have significant socioeconomic repercussions in regions with a common flooding prevalence. Various researchers have laid down numerous approaches for analyzing the evolution of floods and their consequences. One primary goal of such approaches is to identify the areas vulnerable to floods for risk reduction and management purposes. The present paper proposes an integrated remote sensing, geographic information system (GIS), and field survey-based approach for identifying and predicting urban flood-prone areas. The work is unique in theory since the methodology proposed finds application in urban areas wherein the cause of flooding, in addition to heavy rainfall, is also the inefficient urban drainage system. The work has been carried out in Delhi’s Yamuna River National Capital Territory (NCT) area, considered one of India’s most frequently flooded urban centers, to analyze the causes of its flooding and supplement the existing forecasting models. Research is based on an integrated strategy to evaluate and map the highest flood boundary and identify the area affected along the Yamuna River NCT of Delhi. In addition to understanding the causal factors behind frequent flooding in the area, using field-based information, we developed a GIS model to help authorities to manage the floods using catchment precipitation and gauge level relationship. The identification of areas susceptible to floods shall act as an early warning tool to safeguard life and property and help authorities plan in advance for the eventuality of such an event in the study area.

Izvorni jezik
Engleski

Znanstvena područja
Geodezija, Građevinarstvo, Interdisciplinarne tehničke znanosti



POVEZANOST RADA


Projekti:
NadSve-Sveučilište Sjever-UNIN-TEH-20-1-8 - Potencijal vodotoka za proizvodnju električne energije iz malih hidroelektrana (Đurin, Bojan, NadSve - Natječaj za potpore znanstvenim istraživanjima i umjetničkom radu Sveučilišta Sjever u 2020. godini, 1. krug) ( CroRIS)

Ustanove:
Geotehnički fakultet, Varaždin,
Sveučilište Sjever, Koprivnica

Profili:

Avatar Url Nikola Kranjčić (autor)

Avatar Url Bojan Đurin (autor)

Poveznice na cjeloviti tekst rada:

doi www.mdpi.com

Citiraj ovu publikaciju:

Tomar, Pallavi; Singh, Suraj Kumar; Kanga, Shruti; Meraj, Gowhar; Kranjčić, Nikola; Đurin, Bojan; Pattanaik, Amitanshu
GIS-Based Urban Flood Risk Assessment and Management—A Case Study of Delhi National Capital Territory (NCT), India // Sustainability, 13 (2021), 22; 1-20 doi:10.3390/su132212850 (međunarodna recenzija, članak, znanstveni)
Tomar, P., Singh, S., Kanga, S., Meraj, G., Kranjčić, N., Đurin, B. & Pattanaik, A. (2021) GIS-Based Urban Flood Risk Assessment and Management—A Case Study of Delhi National Capital Territory (NCT), India. Sustainability, 13 (22), 1-20 doi:10.3390/su132212850.
@article{article, author = {Tomar, Pallavi and Singh, Suraj Kumar and Kanga, Shruti and Meraj, Gowhar and Kranj\v{c}i\'{c}, Nikola and \DJurin, Bojan and Pattanaik, Amitanshu}, year = {2021}, pages = {1-20}, DOI = {10.3390/su132212850}, keywords = {Yamuna river, urban flood management, warning tool, decisional support system (DSS)}, journal = {Sustainability}, doi = {10.3390/su132212850}, volume = {13}, number = {22}, issn = {2071-1050}, title = {GIS-Based Urban Flood Risk Assessment and Management—A Case Study of Delhi National Capital Territory (NCT), India}, keyword = {Yamuna river, urban flood management, warning tool, decisional support system (DSS)} }
@article{article, author = {Tomar, Pallavi and Singh, Suraj Kumar and Kanga, Shruti and Meraj, Gowhar and Kranj\v{c}i\'{c}, Nikola and \DJurin, Bojan and Pattanaik, Amitanshu}, year = {2021}, pages = {1-20}, DOI = {10.3390/su132212850}, keywords = {Yamuna river, urban flood management, warning tool, decisional support system (DSS)}, journal = {Sustainability}, doi = {10.3390/su132212850}, volume = {13}, number = {22}, issn = {2071-1050}, title = {GIS-Based Urban Flood Risk Assessment and Management—A Case Study of Delhi National Capital Territory (NCT), India}, keyword = {Yamuna river, urban flood management, warning tool, decisional support system (DSS)} }

Časopis indeksira:


  • Current Contents Connect (CCC)
  • Web of Science Core Collection (WoSCC)
    • Science Citation Index Expanded (SCI-EXP)
    • Social Science Citation Index (SSCI)
    • SCI-EXP, SSCI i/ili A&HCI
  • Scopus


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