Land–Water Transition Zone Monitoring in Support of Drinking Water Production

Author:

Kita Afroditi1ORCID,Manakos Ioannis1ORCID,Papadopoulou Sofia1,Lioumbas Ioannis2,Alagialoglou Leonidas1,Katsiapi Matina2,Christodoulou Aikaterini2

Affiliation:

1. Centre for Research and Technology Hellas, Information Technologies Institute, 57001 Thessaloniki, Greece

2. Thessaloniki Water Supply & Sewerage Co. S.A., 54622 Thessaloniki, Greece

Abstract

Water utilities often use extended open surface water reservoirs to produce drinking water. Biotic and abiotic factors influence the water level, leading to alterations in the concentration of the dissolved substances (in cases of flood or drought), entry of new pollutants (in case of flooding) or reduction in the availability and inflow speed of water to the treatment plant (in case of drought). Spaceborne image analysis is considered a significant surrogate for establishing a dense network of sensors to monitor changes. In this study, renowned inundation mapping techniques are examined for their adaptability to the inland water reservoirs’ conditions. The results, from the Polyphytos open surface water reservoir in northern Greece, showcase the transferability of the workflows with overall accuracies exceeding—in cases—98%. Hydroperiod maps generated for the area of interest, along with variations in the water surface extent over a four-year period, provide valuable insights into the reservoir’s hydrological patterns. Comparison among different inundation mapping techniques for the surface water extent and water level reveal challenges and limitations, which are related to the spatial resolution, the data take frequency and the influence of the landscape synthesis beyond the water reservoir boundaries.

Funder

European Union’s Horizon 2020 Research and Innovation Action program

Publisher

MDPI AG

Subject

Water Science and Technology,Aquatic Science,Geography, Planning and Development,Biochemistry

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Automated Surface Waters and Hydroperiod Mapping by Means of SAR Sentinel-1 Time Series;IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium;2024-07-07

2. Use of Unmanned Surface Vehicles (USVs) in Water Chemistry Studies;Sensors;2024-04-28

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