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Automated in Situ Water Quality Monitoring—Characterizing System Dynamics in Urban-Impacted and Natural Environments

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Methodological Approaches in Physical Geography

Part of the book series: Geography of the Physical Environment ((GEOPHY))

Abstract

The application of in situ monitoring to characterize the dynamics of urban, peri-urban, and natural water environments from Southeast Asia, North America, and Australia is explored in this chapter. Focusing on water temperature, dissolved oxygen, turbidity, chlorophyll a, specific conductivity, and pH, important considerations in the deployment and maintenance of in situ monitoring systems is examined, followed by discussions of signature temporal trends (e.g. storm event versus dry weather, daily, seasonal) and specific spatial trends (e.g. land use impacts, water sensitive urban design (WSUD) performance, water column profiling). The value of in situ monitoring as a surrogate for other water quality parameters, such as nutrients, is explained; and finally, data analysis techniques are discussed, with a specific focus on deterministic modelling, geospatial modelling with GIS, and Artificial Intelligence (AI).

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Authors and Affiliations

  1. Faculty of Architecture and Planning, Thammasat University, Bangkok, Thailand

    Kim N. Irvine

  2. School of Engineering, Faculty of Science Engineering and Built Environment, Deakin University, Geelong, Australia

    Lloyd H. C. Chua

  3. Grand River Conservation Authority, Cambridge, Canada

    Cameron A. Irvine

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  1. Kim N. Irvine
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  2. Lloyd H. C. Chua
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  3. Cameron A. Irvine
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Correspondence to Kim N. Irvine .

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Editors and Affiliations

  1. Department of Geography, University Malaya, Kuala Lumpur, Malaysia

    Firuza Begham Mustafa

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Irvine, K.N., Chua, L.H.C., Irvine, C.A. (2022). Automated in Situ Water Quality Monitoring—Characterizing System Dynamics in Urban-Impacted and Natural Environments. In: Mustafa, F.B. (eds) Methodological Approaches in Physical Geography. Geography of the Physical Environment. Springer, Cham. https://doi.org/10.1007/978-3-031-07113-3_6

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