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Advances in Resilience Assessment and Adaptive Strategies for Watershed Non-Point Source Pollution Systems Under Climate Change

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  • Bao-Ling Liu

    (School of Geography and Tourism, Harbin University, Harbin 150086, China
    Harbin Institute of Technology National Engineering Research Center for Water Resources Co., Ltd., Harbin 150001, China
    State Key Laboratory of Urban-Rural Water Resource and Environment, School of Environment, Harbin Institute of Technology, Harbin 150090, China)

  • Chun-Xue Yang

    (School of Geography and Tourism, Harbin University, Harbin 150086, China)

  • Shao-Peng Yu

    (School of Geography and Tourism, Harbin University, Harbin 150086, China)

  • Chuan-Qi Shi

    (School of Geography and Tourism, Harbin University, Harbin 150086, China)

  • Jian-Lin Rong

    (College of Economics and Management, Jilin Agricultural University, Changchun 130118, China)

Abstract

The changing climate raises the level of hydroclimatic non-stationarity and export of pollutants at the event scale in agricultural, mixed-land-use, and urbanizing watersheds. In this review, there is an emphasis on nitrogen, phosphorus, and sediment; however, selective references are made to pesticides, pathogens, microplastics, and wet-weather mixed-source processes when characteristics similar to event-driven transport, threshold exceedance, and adaptive control are identified. Drawing on a structured literature search of studies published from 2000 to December 2025, this narrative review synthesizes evidence from 138 selected references on how extreme rainfall, drought–rewetting, warming, and freeze–thaw processes alter source activation, hydrological connectivity, biogeochemical processing, and receiving-water hazards. Our resilience assessment is based on resistance, recovery, robustness, and persistence, which we interpret using exposure, sensitivity, and adaptive capacity. It is shown that standard average-load and fixed-baseline measurements may not detect short pollution pulses, cross-scenario failure, and long-term drift; operational measurement must thus involve event thresholds, recovery trajectories, tail-risk measures, and propagation of uncertainty. Extrapolation, interpretability, data demand, and applicability for data-sparse basins are used to compare process-based, data-driven, and hybrid models. Adaptation options are associated with measurable triggers as part of a monitoring–trigger–action cycle with location-specific instructions for monsoon-agricultural, cold-region, semi-arid and urban systems. The novel aspect of this framework is the integration of mechanism-based evidence, quantitative resilience indicators, model uncertainty, and adaptive governance into one decision-focused workflow. This sustainability-oriented framework advances long-term watershed management by linking water-quality protection and resilient development.

Suggested Citation

  • Bao-Ling Liu & Chun-Xue Yang & Shao-Peng Yu & Chuan-Qi Shi & Jian-Lin Rong, 2026. "Advances in Resilience Assessment and Adaptive Strategies for Watershed Non-Point Source Pollution Systems Under Climate Change," Sustainability, MDPI, vol. 18(13), pages 1-27, July.
  • Handle: RePEc:gam:jsusta:v:18:y:2026:i:13:p:6917-:d:1985524
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