Research Article

Evaluating the Probability of Rainwater Collection as part of Green Infrastructure using GIS and RS Technologies in Industrial Regions, Eskişehir, Türkiye

Volume: 10 Number: 1 February 1, 2025
EN

Evaluating the Probability of Rainwater Collection as part of Green Infrastructure using GIS and RS Technologies in Industrial Regions, Eskişehir, Türkiye

Abstract

The study aims to identify the possibility of rainwater harvesting in industrial zones (Eskisehir Organized Industrial Zone (EOIZ), Baksan Industrial Site, Matbaacılar Site, ESTIM Wholesalers Site, Auto Gallery, EMKO Furniture and Woodworks, Teksan Industrial Site, Auto Industrialists and Small Industry, Craft Industrial Site, New Organized Industrial Zone Development Area, and Small and Medium-sized Enterprises (SMEs)) with high water use and concentrated impermeable areas. In this case, the amount of rainwater accumulated in impermeable regions was calculated using GIS and RS to reduce the rainwater load that accumulated or reached the wastewater treatment plant. The study will directly contribute to the displaying of the green water footprint resulting from industrial impermeable zones. This work for industrial areas will be pioneering. This study was analyzed using open-source GIS software and Google Earth software, a free application that allows experts in various trade branches of rainwater harvesting in the industrial region, industrialists, and researchers who want to conduct research in this area to do so quickly and easily. When viewed from this perspective, it is clear that the work has original value in the subject and makes significant contributions to the literature. Furthermore, this work directly contributes to the Sustainable Development Goals of "Clean Water and Sanitation" and "Climate Action".

Keywords

References

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  3. Kılıç, M., Abuş, M. N. (2018). Rain Water Harvesting in a Garden House Sample. International Journal of Agriculture and Wildlife Science (IJAWS), 4(2), 209-215.
  4. Norman, M., Shafri, H. Z. M., Mansor, S. B., & Yusuf, B. (2019). Review of remote sensing and geospatial technologies in estimating rooftop rainwater harvesting (RRWH) quality. International Soil and Water Conservation Research, 7(3), 266-274. https://doi.org/10.1016/j.iswcr.2019.05.002
  5. Jamil, M., Mahmood, S., Hussain, S., & Saad, M. (2024). Assessing the impact of drought on groundwater resources using geospatial techniques in Balochistan Province, Pakistan. Advanced Remote Sensing, 4(1), 11-27.
  6. Yalılı Kılıç, M., & Adalı, S. (2022). Rainwater Harvesting in a Shopping Mall Example. Uludağ University Journal of The Faculty of Engineering, 29-40. https://doi.org/10.17482/uumfd.1034275
  7. General Directorate of State Hydraulic Works, Soil-Water Resources. (2023). https://www.dsi.gov.tr/Sayfa/Detay/754
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Details

Primary Language

English

Subjects

Geospatial Information Systems and Geospatial Data Modelling, Geographical Information Systems (GIS) in Planning

Journal Section

Research Article

Publication Date

February 1, 2025

Submission Date

May 16, 2024

Acceptance Date

September 12, 2024

Published in Issue

Year 2025 Volume: 10 Number: 1

APA
Çavdar, C., Demirtaş, İ., Yiğit Avdan, Z., & Avdan, U. (2025). Evaluating the Probability of Rainwater Collection as part of Green Infrastructure using GIS and RS Technologies in Industrial Regions, Eskişehir, Türkiye. International Journal of Engineering and Geosciences, 10(1), 59-73. https://doi.org/10.26833/ijeg.1485389
AMA
1.Çavdar C, Demirtaş İ, Yiğit Avdan Z, Avdan U. Evaluating the Probability of Rainwater Collection as part of Green Infrastructure using GIS and RS Technologies in Industrial Regions, Eskişehir, Türkiye. IJEG. 2025;10(1):59-73. doi:10.26833/ijeg.1485389
Chicago
Çavdar, Ceren, İlknur Demirtaş, Zehra Yiğit Avdan, and Uğur Avdan. 2025. “Evaluating the Probability of Rainwater Collection As Part of Green Infrastructure Using GIS and RS Technologies in Industrial Regions, Eskişehir, Türkiye”. International Journal of Engineering and Geosciences 10 (1): 59-73. https://doi.org/10.26833/ijeg.1485389.
EndNote
Çavdar C, Demirtaş İ, Yiğit Avdan Z, Avdan U (February 1, 2025) Evaluating the Probability of Rainwater Collection as part of Green Infrastructure using GIS and RS Technologies in Industrial Regions, Eskişehir, Türkiye. International Journal of Engineering and Geosciences 10 1 59–73.
IEEE
[1]C. Çavdar, İ. Demirtaş, Z. Yiğit Avdan, and U. Avdan, “Evaluating the Probability of Rainwater Collection as part of Green Infrastructure using GIS and RS Technologies in Industrial Regions, Eskişehir, Türkiye”, IJEG, vol. 10, no. 1, pp. 59–73, Feb. 2025, doi: 10.26833/ijeg.1485389.
ISNAD
Çavdar, Ceren - Demirtaş, İlknur - Yiğit Avdan, Zehra - Avdan, Uğur. “Evaluating the Probability of Rainwater Collection As Part of Green Infrastructure Using GIS and RS Technologies in Industrial Regions, Eskişehir, Türkiye”. International Journal of Engineering and Geosciences 10/1 (February 1, 2025): 59-73. https://doi.org/10.26833/ijeg.1485389.
JAMA
1.Çavdar C, Demirtaş İ, Yiğit Avdan Z, Avdan U. Evaluating the Probability of Rainwater Collection as part of Green Infrastructure using GIS and RS Technologies in Industrial Regions, Eskişehir, Türkiye. IJEG. 2025;10:59–73.
MLA
Çavdar, Ceren, et al. “Evaluating the Probability of Rainwater Collection As Part of Green Infrastructure Using GIS and RS Technologies in Industrial Regions, Eskişehir, Türkiye”. International Journal of Engineering and Geosciences, vol. 10, no. 1, Feb. 2025, pp. 59-73, doi:10.26833/ijeg.1485389.
Vancouver
1.Ceren Çavdar, İlknur Demirtaş, Zehra Yiğit Avdan, Uğur Avdan. Evaluating the Probability of Rainwater Collection as part of Green Infrastructure using GIS and RS Technologies in Industrial Regions, Eskişehir, Türkiye. IJEG. 2025 Feb. 1;10(1):59-73. doi:10.26833/ijeg.1485389

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