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Evaluation and Monitoring of Ecological and Hydrological Status of Rivers and Lakes

A special issue of Water (ISSN 2073-4441). This special issue belongs to the section "Water Quality and Contamination".

Deadline for manuscript submissions: closed (20 August 2024) | Viewed by 768

Special Issue Editors


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Guest Editor
Department of Hydrobiology, Faculty of Biological Sciences, University of Kazimierz Wielki, Bydgoszcz, Poland
Interests: ecology; aquatic biodiversity macroinverebrates; freshwater ecosystems; floodplain lakes; coastal lakes; water quality
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Guest Editor
Department of Hydrobiology, Kazimierz Wielki University, Bydgoszcz, Poland
Interests: coastal lakes; ecology integry; macrozoobenthos; biomoinitoring; antrhopogenic water pollution

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Guest Editor
Department of Revitalisation of Waterway, Kazimierz Wielki University, Bydgoszcz, Poland
Interests: ecohydrology; coastal lakes; ecological integry; restoration; biomonitoring; environmental stressors; ecosystem health

Special Issue Information

Dear Colleagues,

Recently, various techniques and models for assessing the function of aquatic ecosystems have emerged to address the limitations of their natural potential. The intensification of natural factors and anthropogenic pressures has disrupted the established impact streams of matter circulation and energy flow in the ecosystem, leading to habitat degradation. Assessing the resilience of aquatic ecosystems to the destructive effects of physical, chemical, and biological stressors is crucial for effective ecological management, protection of ecological health, and implementation of a culture of sustainable development. However, the type and level of impact of stressors from an evolutionary-system view requires a constant search for new methods of assessment or thr improvement of existing methods. Therefore, simulation of changes based on the principles of artificial intelligence and analysis of factors affecting the functioning of river and lake ecosystems are reliable methods for implementing a culture of sustainability.

Considering the established scientific challenges, we would like to invite scientists involved in hydrological–ecological monitoring research to contribute to this Special Issue, which will focus on the analysis, evaluation, and/or prediction of changes in the functioning of lakes and rivers caused by physical, chemical and biological stressors treated as causal factors, as well as temporal and spatial changes in the level of ecosystem health. As such, manuscripts in the form of case studies on how to ecohydrologically monitor the health of aquatic ecosystems, analyze and assess habitat quality, bioassess the effects of restoration and rehabilitation projects, as well as studies assessing trends in volatile and lentic environmental change, and examining the temporal and spatial variability of ecosystem service functions at different scales and using different indicators will be welcomed.

Prof. Dr. Krystian Obolewski
Dr. Natalia Mrozińska
Dr. Monika Szymańska-Walkiewicz
Guest Editors

Manuscript Submission Information

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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • monitoring integrity
  • ecohealth
  • restoration effect monitoring
  • natural potential
  • modelling approach
  • anthropogenic impact
  • ecosystem services

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Published Papers (1 paper)

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Research

20 pages, 17607 KiB  
Article
Remote Sensing Evaluation of Trophic Status in the Daihai Lake Based on Fuzzy Classification
by Fang Wang, Song Qing, Chula Sa, Quan Lai and An Chang
Water 2024, 16(21), 3032; https://doi.org/10.3390/w16213032 - 23 Oct 2024
Viewed by 522
Abstract
Trophic state index (TSI) is a critical ecological and environmental issue in water resource management that has garnered significant attention. Given the complexity of optical characteristics in aquatic environments, this study employs fuzzy classification methods (FCM) and composite nutrient status indices to meticulously [...] Read more.
Trophic state index (TSI) is a critical ecological and environmental issue in water resource management that has garnered significant attention. Given the complexity of optical characteristics in aquatic environments, this study employs fuzzy classification methods (FCM) and composite nutrient status indices to meticulously classify in-situ remote sensing reflectance data, aiming to develop evaluation models for different nutrient status categories to facilitate the assessment of the Daihai River in Inner Mongolia, China. Subsequently, we applied this model to MSI data to analyze the nutrient status of Daihai Lake from 2016 to 2021. Furthermore, a structural equation model (SEM) was utilized to explore the primary driving factors influencing nutrient status. The results indicated that the water bodies in Daihai Lake can be broadly classified into three categories, with the nutrient status models demonstrating robust performance for each category (R2 = 0.80, R2 = 0.83, and R2 = 0.74). Comparisons were made between nutrient status accuracies obtained through the NCM and FCM based on measured data, yielding R2 values of 0.74 and 0.85, respectively. Furthermore, the TSI results derived from MSI inversion were validated, with NCM achieving an R2 of 0.49, RMSE of 6.88, and MAPE of 10.36%, while FCM exhibited an R2 of 0.55, RMSE of 8.89, and MAPE of 13.18%. An SEM–based analysis revealed that over the long term, human activities exerted a more substantial impact on eutrophication in Daihai Lake, while climatic factors played an accelerating and reinforcing role. These results are consistent with prior research in the Daihai area, indicating a state of mild eutrophication and the potential of the fuzzy classification method and comprehensive trophic status index method in eutrophication assessment. Full article
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