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Ecohydrological Conditions and Modeling of Wetlands
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Ecohydrological Conditions and Modeling of Wetlands

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

Deadline for manuscript submissions: closed (20 December 2022) | Viewed by 9176

Special Issue Editors

Prof. Dr. Guangxin Zhang

E-Mail Website
Guest Editor
Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, 4888 Shengbei Street, Changchun 130102, China
Interests: wetland ecohydrology and water environment; integrated management of water resources; impact of climate changes on hydrology and water resources and groundwater-surface water interactions
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Ligang Xu

E-Mail Website
Guest Editor
Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, China
Interests: ecohydrology; carbon sequestration; soil organic carbon; wetlands
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Yijun Xu

E-Mail Website
Guest Editor
Coastal Studies Institute, Louisiana State University, Baton Rouge, LA 70803, USA
Interests: hydrology; fluvial geomorphology; biogeochemical cycling; sediment transport
Special Issues, Collections and Topics in MDPI journals
Dr. Xuemei Liu

E-Mail Website
Guest Editor
Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, 4888 Shengbei Street, Changchun 130102, China
Interests: lake ecohydrology; hydrodynamic - water quality - water ecology simulation; water resource management; algae bloom
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Hydrology plays a central role in wetland ecosystems. Assessing the ecohydrological conditions of wetlands through modeling can help local and regional ecological restoration and environmental management, including the tendency of eutrophication, algae bloom, biodiversity, nutrients, and their response to climate change in rivers, lakes, reservoirs, and swamps. Water structure and the function of ecosystems and wetlands are gradually deteriorating with anthropogenic and climatically induced environmental change. Our understanding of the transport and dispersion of contaminant phenomena in natural fluid flows is gaining increasing relevance for ecological restoration and protection. This Special Issue aims to assemble contributions on understandings of hydrologic conditions and the modeling of wetlands and ecology problems. Model construction, mechanism disclosure, management measures, as well as review papers are encouraged for submission to this Special Issue.

Prof. Dr. Guangxin Zhang
Prof. Dr. Ligang Xu
Prof. Dr. Y. Jun Xu
Dr. Xuemei Liu
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Water is an international peer-reviewed open access semimonthly journal published by MDPI.

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

  • wetlands
  • lakes, river
  • reservoirs
  • hydrodynamic water quality modeling
  • hydrodynamic–ecological modeling
  • eutrophication
  • algae bloom
  • wetland water purification simulation
  • basin water purification
  • water quality response to climate change
  • best management practices
  • integrated watershed management

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Published Papers (3 papers)

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Research

16 pages, 2683 KiB  
Article
Potential of Sentinel Images to Evaluate Physicochemical Parameters Concentrations in Water Bodies—Application in a Wetlands System in Northern Colombia
by César Padilla-Mendoza, Franklin Torres-Bejarano, Gabriel Campo-Daza and Luis Carlos González-Márquez
Water 2023, 15(4), 789; https://doi.org/10.3390/w15040789 - 17 Feb 2023
Cited by 4 | Viewed by 2437
Abstract
This research demonstrated the feasibility of applying Sentinel-2 images to generate empirical models and estimate physicochemical parameters concentration, particularly nutrients in the wetland system called Bajo Sinú wetlands complex, Colombia. Spearman correlations were determined between water quality parameters, which were monitored at 17 [...] Read more.
This research demonstrated the feasibility of applying Sentinel-2 images to generate empirical models and estimate physicochemical parameters concentration, particularly nutrients in the wetland system called Bajo Sinú wetlands complex, Colombia. Spearman correlations were determined between water quality parameters, which were monitored at 17 points in the wetland on 5 February 2021, with Sentinel-2 images reflectance values from the same monitoring date; the correlations allowed the identification of statistically significant bands in the multiple linear regression algorithm implementation to determine empirical water quality models. The results show significant correlations between the optically active parameters, TSS-Turbidity, which in turn correlated with the optically inactive parameters Turbidity-NO3 and TSS-DO, as well as non-optically active parameters among themselves, TDS-NO3 and TDS-TP; the empirical models presented higher than 74.5% fit (R2), particularly DO (R2 = 0.948), NO3 (R2 = 0.858) and TP (R2 = 0.779) were the models with the highest fits (R2). These models allowed us to properly estimate the spatial distribution of nutrient-forming compounds in the wetlands complex. The determinant role played by turbidity in this type of water body is highlighted; it acts as a connecting constituent that makes the estimation of water quality parameters without spectral response through remote sensing feasible. Sentinel-2 images and multiple linear regression algorithms have been shown to be effective in estimating the concentration of water quality parameters without spectral response, such as NO3 and TP in shallow tropical wetlands, due to the processes of transformation, interaction and dependence between the different environmental variables in aquatic ecosystems. Full article
(This article belongs to the Special Issue Ecohydrological Conditions and Modeling of Wetlands)
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16 pages, 7917 KiB  
Article
Numerical Modeling of COD Transportation in Liaodong Bay: Impact of COD Loads from Rivers Flowing into the Sea
by Hexin Yu, Ge Jin, Sheng Jin, Zhen Chen, Wei Fan and Dan Xiao
Water 2022, 14(19), 3114; https://doi.org/10.3390/w14193114 - 2 Oct 2022
Cited by 4 | Viewed by 2562
Abstract
Pollution loads pose a major threat to the health of the marine environment and the long-term viability of the coastal economy. The present study developed a coupling model to simulate the chemical oxygen demand (COD) transport in upper rivers (1D) and subsequent diffusion [...] Read more.
Pollution loads pose a major threat to the health of the marine environment and the long-term viability of the coastal economy. The present study developed a coupling model to simulate the chemical oxygen demand (COD) transport in upper rivers (1D) and subsequent diffusion in the coastal zone (2D) in Liaodong Bay, based on the HydroInfo system. Three main seagoing rivers, including Daliao, Liao, and Daling Rivers, were selected and investigated for hydrodynamic and hydrochemical analyses. The mathematical model was evaluated by monitoring data from state-controlled cross-sections scattered along the three rivers, and the observation data showed good agreement with simulated values, confirming the model’s accuracy in terms of spatial and temporal distribution. The transport and propagation process of COD in inlet rivers, such as Daliao, Liao, and Daling, including the sea area of Liaodong Bay, were simulated and analyzed. Simulated results revealed that the pollution range of COD in Liaodong Bay was 258–391 km2 in different seasons. The pollutant leakage scenarios for the three rivers entering the sea were simulated utilizing the developed mathematical model. The study simulated and predicted that, in the event of a sudden water pollution accident (e.g., sneak discharge and leakage at various sections of sea-entering rivers, such as Daliao, Liao, and Daling), pollutants might take 2–11 days to reach the sea-entering mouth, and the sea area would take 8–32 days to reach the maximum pollution range. Our numerical modeling may be used to analyze and make decisions on pollution control in Liaodong Bay and major sea-entry rivers, and be useful to water environment management in sea-entry rivers and Liaodong Bay, and water pollution emergency responses. Full article
(This article belongs to the Special Issue Ecohydrological Conditions and Modeling of Wetlands)
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18 pages, 6201 KiB  
Article
Temporal and Spatial Characteristics of River Water Quality and Its Influence Factors in the TAIHU Basin Plains, Lower Yangtze River, China
by Bin Gao, Youpeng Xu, Zhixin Lin, Miao Lu and Qiang Wang
Water 2022, 14(10), 1654; https://doi.org/10.3390/w14101654 - 22 May 2022
Cited by 8 | Viewed by 2338
Abstract
Water quality pollution has been a serious problem in the Taihu Basin plains, which is a highly urbanized area in China. This study aims to detect the interannual and seasonal changes and spatial patterns of water quality in this region. Based on cluster [...] Read more.
Water quality pollution has been a serious problem in the Taihu Basin plains, which is a highly urbanized area in China. This study aims to detect the interannual and seasonal changes and spatial patterns of water quality in this region. Based on cluster analysis, Moran’s I, and standard deviational ellipses, the site clusters, spatial heterogeneity of water quality characteristics and identified polluted regions were clarified. Results showed that (1) water quality improved since 2002, and nutrient concentrations were lower in summer and autumn than in winter and spring. (2) The monitoring sites were divided into six clusters according to the water quality during the period from 2010 to 2014. Water quality worsened from Cluster 1 to Cluster 4. Cluster 1 sites were mostly distributed beside the Yangtze River and Taihu Lake. Cluster 4 sites were mainly located along the southeast border near Shanghai, while the remaining sites were separately distributed in the main cities. (3) A polluted region of both total nitrogen (TN) and total phosphorus (TP) was present in the southeastern part of the study area near the border from 2010 to 2014. In addition, polluted regions were most likely to form near the junctions of main cities. (4) Anthropogenic factors had greater impacts on water quality than natural factors. More attention should be given to water quality protection around impervious surface areas due to the greatest considerable effect. Full article
(This article belongs to the Special Issue Ecohydrological Conditions and Modeling of Wetlands)
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