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Advanced Research in Non-Point Source Pollution of Watersheds

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

Deadline for manuscript submissions: 31 December 2025 | Viewed by 129

Special Issue Editors


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Guest Editor
Changsha Research Station for Agricultural & Environmental Monitoring, Key Laboratory of Agro-Ecological Processes in Subtropical Regions, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha 410125, China
Interests: agricultural non-point pollution; bioreactor; agricultural water resource management; nutrient removal and recovery; wetland
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu, China
Interests: non-point pollution; soil quality; water quality; nutrient cycle in agriculture; watershed

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Guest Editor
Agro-Environmental Protection Institute, Ministry of Agriculture and Rural Affairs, Tianjin 300191, China
Interests: emerging contaminants; antibiotics; bacterial resistance; microbiome; metagenomic; bioinformatics

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Guest Editor
Changsha Research Station for Agricultural & Environmental Monitoring, Key Laboratory of Agro-Ecological Processes in Subtropical Regions, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha 410125, China
Interests: nutrient cycling; legacy pollutants; sustainable agriculture; agroecosystems; environmental drivers; landscape patterns

Special Issue Information

Dear Colleagues,

Many lakes, reservoirs, and coastal and marine environments are reported to be severely affected by agricultural non-point source (NPS) pollution from upstream sub-watersheds. In particular, surface runoff during raining periods acts as an important cause of eutrophication. The NPS pollutants of excessive nitrogen and phosphorus, pesticides, and heavy metals are not compatible with agricultural green production. For scientific control of NPS pollution, the analysis of the causes of pollution, cost-effective treatments, and sustainable management are essential. Achieving a deep understanding of the spatial and temporal characteristics is the primary task. Secondly, the wise selection and combined application of best management practices (BMPs) contribute to practical and cost-effective prevention and control of NPS pollution. Thirdly, steady treatment performances rely on sustainable management, especially for win-win achievements in local economic development and ecological protection.

In this Special Issue, the transfer and transformation of NPS pollutants relating to their losses from agricultural fields, the assessment of NPS pollution risks and aquatic ecosystem quality, and strategies and combined technology for cost-effective BMPs are welcomed. Novel practices to improve the treatment performances of wetlands, bioreactors, riparian and coastal buffer zones, etc., are encouraged. In addition, studies on the intelligent supply of agricultural water resources and fertilizer, runoff regulation, and resource utilization, and on the description of environmental conservation for agricultural green production, are invited.

Prof. Dr. Feng Liu
Dr. Tao Wang
Dr. Yan Xu
Dr. Cen Meng
Guest Editors

Manuscript Submission Information

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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

  • non-point source pollution
  • landscape patterns
  • ecological treatments
  • pollutant removal and resource recovery
  • emerging contaminants
  • agriculture green development
  • watershed intelligent management

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Published Papers (1 paper)

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Research

25 pages, 2764 KiB  
Article
The Optimal Capacity Estimation of Nature-Based Facilities Considering Land Cover Characteristics
by Jinsun Kim and Dongwoo Kim
Water 2025, 17(9), 1323; https://doi.org/10.3390/w17091323 - 28 Apr 2025
Abstract
Non-point source (NPS) pollution in agricultural land continues to rise despite urbanization in South Korea. NPS pollution management in rural areas has been conducted using Best Management Practices (BMPs) to reduce NPS pollution in rural areas. Among them, nature-based facilities are commonly used [...] Read more.
Non-point source (NPS) pollution in agricultural land continues to rise despite urbanization in South Korea. NPS pollution management in rural areas has been conducted using Best Management Practices (BMPs) to reduce NPS pollution in rural areas. Among them, nature-based facilities are commonly used to reduce runoff NPS pollution. To design such facilities, it is necessary to determine the Water Quality Volume (WQv), which serves as a key indicator for evaluating the performance of pollution reduction facilities, as well as the estimation of the design rainfall intensity. These are critical factors for the design of the delineation of catchment areas and NPS pollution reduction. However, conventional methods for capacity estimation often rely on total area rather than considering the specific land use distribution, leading to lower pollution reduction efficiency and excessive project costs. Therefore, this study uses actual monitoring data from existing nature-based facilities, and an analysis was performed to establish a method for determining their optimal capacity while accounting for land use characteristics. A regression analysis was conducted based on the land use area ratio, and the results demonstrated that the proposed method yields similar or improved outcomes in terms of water quality improvement and economic feasibility compared to conventional capacity estimation methods. These findings highlight the importance of incorporating diverse land use distributions into capacity estimation for improving NPS pollution management efficiency by enhancing water quality and reducing project costs. Full article
(This article belongs to the Special Issue Advanced Research in Non-Point Source Pollution of Watersheds)
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