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Integrated Watershed Pollution Control: From Source Tracing to Systematic Management

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

Deadline for manuscript submissions: 20 August 2026 | Viewed by 897

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Special Issue Information

Dear Colleagues,

As a fundamental unit of the aquatic environment, watersheds are characterized by complex pollution sources, diverse transport pathways, and profound ecological and societal impacts. Effective watershed pollution control requires moving beyond traditional single-technology or localized management approaches to establish a holistic scientific framework that spans pollution source tracing to systematic regulation. This Special Issue aims to synthesize cutting-edge research on integrated watershed pollution control, with a focus on the following key areas:

1. Pollution Source Apportionment and Multi-Dimensional Tracing Techniques
  • Integration of isotope tracing, chemical fingerprinting, and model inversion to accurately identify spatial and sectoral contributions from industrial, agricultural, domestic, and non-point sources.
  • Development of dynamic pollution source inventories based on multi-source data fusion to support refined management.
2. Multi-Process Coupled Modeling of Pollutant Migration and Transformation
  • Advancement of watershed-scale hydrology–water quality–ecology coupled models to elucidate the transport mechanisms and fate of pollutants across multiple media (atmosphere, surface water, groundwater, and soil).
  • Focus on interactive effects and combined impacts of emerging pollutants (e.g., microplastics, antibiotics) and traditional pollutants (e.g., nitrogen, phosphorus, heavy metals).
3. Innovation and Optimization of Integrated Control Technologies
  • Exploration of the efficacy of ecological restoration engineering, green infrastructure, and synergistic treatment technologies in reducing watershed pollution and improving water quality.
  • Evaluation of sustainable pathways combining natural restoration and engineering measures.
4. Systematic Regulation and Intelligent Management Strategies for Watersheds
  • Optimization of pollution control strategies through scenario-based simulations, quantifying the environmental, economic, and social benefits of management measures.
  • Integration of Internet of Things, artificial intelligence, and digital twin technologies to build intelligent watershed management platforms for “monitoring–modeling–decision-making” integration.
5. Cross-Scale Governance Mechanisms and Policy Innovations
  • Investigation of institutional design, ecological compensation mechanisms, and multi-stakeholder engagement models for transboundary pollution co-governance.
  • Exploration of synergistic pathways aligning watershed water quality objectives with national strategies such as carbon neutrality and ecological security.

This Special Issue encourages interdisciplinary and multi-methodological research to advance the paradigm shift in watershed pollution control from localized treatment to systematic regulation, providing theoretical foundations and technical solutions for watershed water security and sustainable development.

Prof. Dr. Haiqing Liao
Guest Editor

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Keywords

  • watershed pollution
  • pollution source
  • pollution control technologies
  • pollutant migration and transformation

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Published Papers (1 paper)

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Research

19 pages, 16580 KB  
Article
Spatiotemporal Distribution of Chlorophyll-a and Dissolved Organic Matter in Ganjiang River Estuary of Lake Poyang
by Zitong Huang, Haiqing Liao, Meichen Ji, Yule Luo, Fang Yang, Danni Liu, Yiling Zhong, Dongxia Feng, Weilong Jiang, Yuying Shi and Matti Leppäranta
Water 2026, 18(10), 1160; https://doi.org/10.3390/w18101160 - 12 May 2026
Viewed by 607
Abstract
Dissolved organic matter (DOM) plays a central role in estuarine carbon cycling and exhibits dynamically coupled interactions with chlorophyll-a (Chl-a). Under increasing nutrient loads, elevated Chl-a concentrations and shifts in DOM composition serve as key indicators of eutrophication in estuarine aquatic ecosystems. Previous [...] Read more.
Dissolved organic matter (DOM) plays a central role in estuarine carbon cycling and exhibits dynamically coupled interactions with chlorophyll-a (Chl-a). Under increasing nutrient loads, elevated Chl-a concentrations and shifts in DOM composition serve as key indicators of eutrophication in estuarine aquatic ecosystems. Previous studies have mainly focused on the composition and fluorescence properties of DOM in rivers and lakes. Here, 84 water samples were collected from the Ganjiang River Estuary of Lake Poyang during wet, normal, and dry seasons across the mainstream, middle, and south branches. The average Chl-a concentration showed wet season (6.61 μg·L−1) > normal season (4.54 μg·L−1) > dry season (2.01 μg·L−1). By employing EEM-PARAFAC, five fluorescent components were identified, including C1, C2, C3, C4, and C5. Notably, microbial humic-like substances remained consistently high during the wet season. Two-dimensional correlation spectroscopy was further employed to evaluate sequential changes in DOM components, while a moving window was used to identify temporal variation characteristics. Based on Noda’s rules, the DOM response sequence was identified as C3→C2→C1→C4→C5. Kernel PCA showed that the variable cluster represented by PC1, which consisted of organic pollutants and nutrients, co-varied negatively with Chl-a, whereas the PC2 cluster, representing biogenic organic matter, co-varied positively with Chl-a. Moreover, partial least squares path modeling showed that humic-like and tryptophan-like substances were positively correlated with Chl-a, with the path coefficients of 0.47 and 0.19, respectively. These findings revealed the interaction patterns between DOM components and Chl-a at the river-lake confluence zone, thereby enhancing our understanding of the factors influencing the spatio-temporal variations in Chl-a concentration, and further providing a guide for the control of algal blooms. Full article
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