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Modeling of Wastewater Collection Network Using Arc GIS and SewerGEMS in Kabul, Afghanistan

EasyChair Preprint 4098

15 pagesDate: August 27, 2020

Abstract

This study was conducted to find out the feasibility of a decentralized wastewater collection system and model it in planned and unplanned areas by using Arc GIS and SewerGEMS software. One of the most critical environmental challenges of the Kabul city is the lack of a sewage collection, treatment, and disposal system. This has caused many health and environmental problems. For this study, the fifth district of Kabul city was selected as a study area and divided into nine study zones. The geometric model of the network was created in Arc GIS using Landuse and landcover, Digital Elevation Model, and Satellite Imagery. Hydraulic analysis and design of the system done by SewerGEMS software and the control of the parameters based on the design results done according to the standard design criteria of sewerage networks. The result of the hydraulic design of the modeled system shows that creating and implementing a decentralized and regional sewer collection network is the best solution for the city. After studying the results of hydraulic analysis and design and after reviewing and controlling the control parameters such as flow velocity, pipe diameter, slopes, pipe profiles, etc., it concluded that the hydraulic model has successfully designed and created. Implementation of such a model is applicable to district scales in the city and looks at the appropriate solution for this issue. It can cover almost all of the planned areas of the city and also most of the unplanned areas.

Keyphrases: Arc GIS, Kabul, Kabul City, Sewer networks, SewerGEMS, wastewater

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
@booklet{EasyChair:4098,
  author    = {Ali Reza Noori and S.K. Singh},
  title     = {Modeling of Wastewater Collection Network Using Arc GIS and SewerGEMS in Kabul, Afghanistan},
  howpublished = {EasyChair Preprint 4098},
  year      = {EasyChair, 2020}}
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