Urban waterlogging risk as an undervalued environmental challenge: An Integrated MCDA-GIS based modeling approach

Roy, Subham; Bose, Arghadeep; Singha, Nimai; Basak, D. K.; Chowdhury, Indrajit Roy

doi:10.1016/j.envc.2021.100194

Cited by 105 publications

(34 citation statements)

References 83 publications

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“…Object recognition is an integral part of image interpretation. For this purpose, the image identity and object type are essential during the problemsolving analysis (Saing et al 2021). Object characteristics in the image can be used to recognize objects referred to by interpretation elements.…”

Section: Methodsmentioning

confidence: 99%

“…The habitability of a community is unachievable when environmental problems such as floods, droughts, groundwater pollution, ecological diseases, and waste occur (Widodo et al 2015). Furthermore, deteriorating water quality, possible epidemics, and urban disturbances can pose policy threats to sustainable urban growth (Roy et al 2021). Hence, environmental carrying capacity is essential to support the development and improve the quality of life.…”

Section: Introductionmentioning

confidence: 99%

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Settlement Development Based On Environmental Carrying Capacity In Batu City, Indonesia

Witjaksono¹,

Gai²,

Maulida³

2023

GES

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The increase in population and demand for settlement facilities and infrastructure affects the attractiveness of Batu city (Indonesia) and has a significant impact on the environmentWe perform spatial mapping of the environmental carrying capacity in developing settlements using the overlay-geoprocessing method. This method is based on unit indicators such as slope, morthology, soil type, elevation, and potential for disasters for obtaining the data on land capability, land suitability, and settlement development plans. Land capability analysis shows that slope, morthology and altitude are the main factors for attributing moderate, low, and poor development capability. The land capability unit shows the areas with slope steepness and land morthology that are not appropriate for intensively developing areas. Batu City areas of moderate, low, and poor development capacity cover 13,365.14 ha, 3193.04 ha, and 2858.07 ha. We also demonstrate that there is about 2,363 ha of unsuitable land use with poor land capability and 3,784.28 ha of land can be developed for settlement. Using this approach we determine saturation point in the residential area plan, because the environmental impact will increase if no threshold is given for residential development.

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Settlement Development Based On Environmental Carrying Capacity In Batu City, Indonesia

Witjaksono¹,

Gai²,

Maulida³

2023

GES

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“…Any kind of model after its nal outcome accuracy assessment is needed. The area under curve (AUC) method is found suitable for validation among the multi-criteria decision making models (Rahmati et al, 2015;Roy, Bose, Singha, et al, 2021) due to its simple design, completeness and capacity of prediction. Field survey, annual reports, literature etc.…”

Section: Accuracy Assessmentmentioning

confidence: 99%

“…were considered to select those ood inventory points. The AUC is measured by dividing the cumulative percentage of area under the ood susceptible zone and cumulative percentage of areas under the ood inventory points (Roy, Bose, Singha, et al, 2021). The accuracy outcome of the AUC is explained as; 0.90-1.00 = excellent, 0.80-0.90 = good, 0.70-0.80 = fair, 0.60-0.70 = poor and 0.50-0.60 = fail (Rimba et al, 2017).…”

Section: Accuracy Assessmentmentioning

confidence: 99%

Flood Susceptibility Assessment Using Geospatial Multi-Criteria Framework: A Study in Lower Mahananda Basin, India

Paul

Sarkar

2022

Preprint

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Flood is the common natural hazard in the plains of Lower Ganga that causes considerable damage to the society and its infrastructure every year. During the monsoon, Mahananda river carries voluminous discharge and often it overtops the bank and spills out to the surrounding plains, especially in the northern parts of Bihar and West Bengal. Therefore, an attempt has been made to identify and assess the flood risk prone area in the comprised zone of Lower Mahananda basin, India. Seven geospatial parameters have been incorporated to the weighted overlay analysis in GIS environment using multi-criteria based analytical hierarchy process (AHP). The prepared final map is classified into five spatial zones considering their susceptibility to the flood. In this regard, cross-sectional profile of the river at six different sites was made for assessing the water level during the flood. The very high flood susceptible zone comprises about 64.46 km2 area (0.80%) and remains waterlogged for most part of the year. The high flood susceptible zone is consists of 1441.38 km2 of area (17.99%) and widely spread over the populated zone of Malda district when water level in the channels can rise up to 3m from its normal level. The bulk of the area (56.02%) falls in the moderate category and the chances of inundation here only during the major floods. The reliability of the model has been assessed using the AUC, where the accuracy is more than 80%. The overall framework is thus useful for policy implementation and mitigation purposes.

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“…Waterlogging risk assessments have been performed with respect to a hazard–exposure–vulnerability (H–E–V) model in previous studies (Džebo et al, 2020; Tacnet et al, 2012). After combining the vulnerability and exposure indicators to quantify risk, weights are determined subjectively based on the analytic hierarchy process (Roy et al, 2021), and a road waterlogging risk indicator system is constructed. The formula for the MCA method is given from the risk triangle perspective (Crichton, 1999).…”

Section: Introductionmentioning

confidence: 99%

Urban road waterlogging risk assessment based on the source–pathway–receptor concept in Shenzhen, China

Sun

Wang

Huang

et al. 2022

J Flood Risk Management

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Urban roads are especially vulnerable to waterlogging during rainfall events.Assessments of urban road waterlogging risk are critical for disaster prevention and mitigation. This paper presents a rapid and practical approach for assessing the risk of urban road waterlogging based on a source-pathway-receptor concept and a digital elevation model (DEM). Waterlogging sources are identified by neighborhood analysis, overland flow pathways are extracted using a DEM, and the properties of cross-nodes between pathways and roads are used to assess the waterlogging risk of roads. Futian District in Shenzhen, China, is selected as the study area. The risk results show that the waterlogging risk sources are clustered in residential land parcels and low-lying road sections, while most road intersections and overpasses in the central area are at higher risks. The results also found that the waterlogging risk decreases as the road grade increases. Actual telephonic flooding records and reported waterlogging areas were used to validate the method, with the risk results displaying good agreement with the actual conditions. The prospects for generalizing this framework and its usage are discussed. The proposed approach provides support for pluvial flooding risk assessment and urban road waterlogging prevention.

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Urban waterlogging risk as an undervalued environmental challenge: An Integrated MCDA-GIS based modeling approach

Cited by 105 publications

References 83 publications

Settlement Development Based On Environmental Carrying Capacity In Batu City, Indonesia

Settlement Development Based On Environmental Carrying Capacity In Batu City, Indonesia

Flood Susceptibility Assessment Using Geospatial Multi-Criteria Framework: A Study in Lower Mahananda Basin, India

Urban road waterlogging risk assessment based on the source–pathway–receptor concept in Shenzhen, China

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