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Development of Data Quality Improvement Method for Hydrodynamic Model of Urban Drainage System Using GIS Capabilities

Authors:
Cagri Cimen
Anil Olgac
Rouhollah Nasirzadehdizaji

Keywords: Geographic Information System; sustainable urban drainage; urbanization; stormwater system; climate change.

Abstract:
The pressure on urban drainage systems has increased in recent years due to population growth, urbanization, industrialization, and climate change. The rise in impervious surfaces, such as buildings, roads, and parking lots, as well as airports, ports, and logistics centers, exacerbates the situation. This situation can cause overflows, particularly downstream, as the increase in impervious surfaces leads to shorter periods for surface runoff to be collected and quickly diverted into the drainage system, resulting in large increases in peak flow rates. To plan the existing urban drainage system with current and accurate data using hydrodynamic model tools, it is essential to consider accurate and based on real conditions planning of urban drainage systems and the application of hydrodynamic models that can simplify complex structures into mathematical expressions. In this regard, Geographic Information Systems (GIS) are an effective method for the preparation of various input datasets in accordance with the format and precision required by the hydrodynamic models. This study proposed a methodological approach to prepare critical large-scale data for the hydrodynamic model set up in a GIS environment, aiming to improve the accuracy of analysis results and reflect the real-world situation. Through geospatial analysis and the use of GIS environmental capabilities, key input data, such as Digital Elevation Models (DEMs), land use, buildings’ polygons, and catchment areas, were prepared to represent real-world conditions in the model scenarios. The prepared data in the GIS environment provide a detailed and precise representation of complex structures for mathematically realistic simulations. The main finding of this work highlights the importance of using geospatial analysis and GIS tools to prepare input data for hydrodynamic models of urban drainage systems, leading to improved accuracy and efficiency of urban drainage services.

Pages: 19 to 24

Copyright: Copyright (c) IARIA, 2023

Publication date: April 24, 2023

Published in: conference

ISSN: 2308-393X

ISBN: 978-1-68558-079-7

Location: Venice, Italy

Dates: from April 24, 2023 to April 28, 2023