Identifying the Risk Areas and Urban Growth by ArcGIS-Tools

Hamdy, Omar; Zhao, Shengchuan; Salheen, Mohamed A.; Eid, Youhansen Y.

doi:10.3390/geosciences6040047

Cited by 11 publications

(6 citation statements)

References 21 publications

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“…Heavily urbanised cities in developed countries have, of course, significantly higher ratios (the City of London: 0.98; [53]). This low built-up ratio around natural riverine systems partly justifies the use of DEM in ArcGIS, as also attested by Hamdy et al [54].…”

mentioning

confidence: 74%

“…This foreknowledge will help in planning and preparedness strategies. (ii) The modelled precipitation amounts can be used within ArcGIS to yield almost instantaneous locations of spill areas so that vulnerable parts are quickly identified (Hamdy et al, 2016). (iii) The ArcGIS outputs combining information from (i) and (ii) can then be used in a separate protocol coded in MATLAB to yield the drainage flow rates, again instantaneously, over the identified spill areas from run-off coefficient estimates given by Subramanya [57] and Konrad [58].…”

Section: Discussionmentioning

confidence: 99%

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Quick Predictions of Onset Times and Rain Amounts from Monsoon Showers over Urban Built Environments

Gumber

Ghosh

2022

Atmosphere

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Predicting the onset times of precipitation over densely populated cities for the purposes of timely evacuation is a challenge. This paper explored a flooding event over an urban built environment in a South Asian mega city, Chennai, where extant urban planning models rely on predicted rainwater amounts for early warning and impact assessment studies. However, the time duration of flooding events is related to the nature of the urban sprawl in the built environment. Any evacuation measure is invariably tied down to the time duration over which the precipitation event occurs, and therefore to the expected time of a precipitation event to begin. In this context, a crucial parameter useful to municipal authorities is the onset time of precipitation. This study used optimised analytical formulations to predict this time, and the derived analytical expressions for the case study yielded comparable times estimated from a computer-intensive full-scale large eddy model within an accuracy of 2%. It is suggested that municipal authorities (who are non-experts in fluid mechanics) use this early prediction for the purposes of quick alerts to a congested city’s most vulnerable citizens within urban sprawls. However, for the procedure to work at its best, it involves a two-stage procedure. The first step involves the use of a parcel model to obtain the expected cloud droplet spectral spreads based on the prevailing dynamical characterisations. The second step involves an optimisation procedure involving cloud spectral properties from the first step to quantify both the auto-conversion rates and the threshold. Thereafter, an onset time calculation based on cloud properties is estimated. These new results are cast in closed form for easy incorporation into meteorological applications over a variety of urban scales. Rain mass amounts were also predicted analytically and used to configure Aeronautical Reconnaissance Coverage Geographic Information System (ARCGIS) to compute low drainage flow rates over the vulnerable parts of Chennai city. It was found that heavy precipitation over the North Chennai region yielded discharge rates to the tune of ~250 m3s−1 during a 24 h period, causing intense flooding in the low-lying areas around the Cooum River basin with a large population density, with estimates sufficiently corroborating observations.

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mentioning

confidence: 74%

Section: Discussionmentioning

confidence: 99%

Quick Predictions of Onset Times and Rain Amounts from Monsoon Showers over Urban Built Environments

Gumber

Ghosh

2022

Atmosphere

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“…for experiments with large quantities of data and identification of problems in a very structured and practical way. The further and more detailed experiments should be carried out to solve the development problems of Vilnius districts and future sustainability [40].…”

Section: Results Of the Experiments And Discussion Of The Approachmentioning

confidence: 99%

An Approach for the Analysis of the Accessibility of Fire Hydrants in Urban Territories

Raškauskaitė

2019

IJGI

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Globally, fire causes considerable losses that can be alleviated by taking appropriate actions facilitated by systems supported by geo-information technologies. This research focuses upon the development of an approach for planning urban infrastructures, and particularly in the accessibility of fire hydrants. Accessibility of fire hydrants’ infrastructure in urban territories is one of the key elements in fire risk management and public safety. The main result of the research is a comprehensive and structured Geographic Information Systems (GISs)-based dataset for the fast and more efficient planning of fire hydrants in urban territories. The proposed framework for data collection and processing was used to determine the distribution of hydrants, location of fire brigade stations and areas and to demonstrate the capabilities of the existing municipal fire extinguishing systems in Vilnius City, Lithuania. Later on, research on fire hydrants’ accessibility, analysis of the location of protected and unprotected urban territories and marking of unprotected buildings, was carried out. The resulting map of unprotected urban territories can be of great benefit for understanding fire risks and offering more effective ways for fire risk management.

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“…The relief and hydrology type parameters were estimated by processing the necessary data from a Digital Terrain Model (DTM), with a resolution of 15 × 15 m, downloaded from INEGI [54]. The values of the basic parameters from the watersheds were obtained by using the Hydrology tool [55] of ArcMap© 10.3 (ESRI, Redlands, CA, USA; https://wwwesri.com/en-us/home). The values of the shape, relief, and linear type parameters were calculated from the equations listed in Table 1.…”

Section: Datamentioning

confidence: 99%

A Multivariate Geomorphometric Approach to Prioritize Erosion-Prone Watersheds

et al. 2019

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Soil erosion is considered one of the main degradation processes in ecosystems located in developing countries. In northern Mexico, one of the most important hydrological regions is the Conchos River Basin (CRB) due to its utilization as a runoff source. However, the CRB is subjected to significant erosion processes due to natural and anthropogenic causes. Thus, classifying the CRB’s watersheds based on their erosion susceptibility is of great importance. This study classified and then prioritized the 31 watersheds composing the CRB. For that, multivariate techniques such as principal component analysis (PCA), group analysis (GA), and the ranking methodology known as compound parameter (Cp) were used. After a correlation analysis, the values of 26 from 33 geomorphometric parameters estimated from each watershed served for the evaluation. The PCA defined linear-type parameters as the main source of variability among the watersheds. The GA and the Cp were effective for grouping the watersheds in five groups, and provided the information for the spatial analysis. The GA methodology best classified the watersheds based on the variance of their parameters. The group with the highest prioritization and erosion susceptibility included watersheds RH24Lf, RH24Lb, RH24Nc, and RH24Jb. These watersheds are potential candidates for the implementation of soil conservation practices.

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Identifying the Risk Areas and Urban Growth by ArcGIS-Tools

Cited by 11 publications

References 21 publications

Quick Predictions of Onset Times and Rain Amounts from Monsoon Showers over Urban Built Environments

Quick Predictions of Onset Times and Rain Amounts from Monsoon Showers over Urban Built Environments

An Approach for the Analysis of the Accessibility of Fire Hydrants in Urban Territories

A Multivariate Geomorphometric Approach to Prioritize Erosion-Prone Watersheds

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