Identification of Sensitive Factors for Placement of Flood Monitoring Sensors in Wastewater/Stormwater Network Using GIS
Identification of optimal sensor placement in wastewater/stormwater networks plays a crucial role in monitoring the network’s status. This study proposes and verifies a new approach based on the fuzzy Analytical Hierarchy Process (AHP) and Geographic Info
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of Science and Technology, NO-6025 Ålesund, Trondheim, Norway {Lam.V.Nguyen,rase}@ntnu.no 2 Department of Geodesy, Faculty of Geomatics and Land Administration, Hanoi University of Mining and Geology, No. 18 Pho Vien, Duc Thang, Bac Tu Liem, Hanoi 10000, Vietnam 3 Geographic Information Science Group, Department of Business and IT, University of South-Eastern Norway, N-3800 Bø, Telemark, Norway [email protected]
Abstract. Identification of optimal sensor placement in wastewater/stormwater networks plays a crucial role in monitoring the network’s status. This study proposes and verifies a new approach based on the fuzzy Analytical Hierarchy Process (AHP) and Geographic Information System for delineating potential areas for placing sensors of the wastewater/stormwater networks. The coastal city of Ålesund (Norway) was selected as a case study. In this regard, a GIS database was constructed, which consists of eight criteria, altitude, rainfall, geology, manholes, population density, critical infrastructures, road network, and traffic load. Using the fuzzy AHP, weights for the eight criteria were computed, and then, suitability maps for placement of the sensor position were generated in a GIS environment. The results showed that manholes, altitude, and rainfall are sensitive factors for placing sensors in wastewater and stormwater pipe network. The suitability maps in this study may provide initial information for the placement of flood monitoring sensors in the wastewater/stormwater network. Keywords: Optimal location · Geographic information system · Fuzzy analytical hierarchy process · Climate projection · Ålesund · Norway
1 Introduction Underground pipeline network infrastructure, including wastewater and stormwater pipes, play a crucial role in cities across the world. Wastewater and stormwater pipelines are designed to transport wastewater and stormwater from the city-sphere to protect © The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2021 D. Tien Bui et al. (Eds.): Proceedings of the International Conference on Innovations for Sustainable and Responsible Mining, LNCE 108, pp. 79–97, 2021. https://doi.org/10.1007/978-3-030-60269-7_5
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public health, environment, and properties. The robustness of wastewater and stormwater pipelines to perform this role can be significantly reduced overtime during their operational period due to intrinsic factors (size, age, material, and type) and extrinsic factors (earthquake, high pressure, and temperature environment) [1–3]. The adoption of the right maintenance strategies is, therefore, critical to ensure that the wastewater and stormwater pipes are performing their role effectively. This can be achieved through the development of a good predictive maintenance framework to support the maintenance activities of the pipes. Predictive maintenance is essential to ensure that the system can work efficiently, enhance equipment’s longevity, and minimize maintenance costs as well [4]. Predicting futu
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