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<p>Managed aquifer recharge (MAR) has emerged as a cost-effective technology for sustainable groundwater resource management, yet the efficiency of MAR systems is significantly impaired by porous media clogging. The study employs CiteSpace-based scientometric analysis (SA) to systematically investigate 440 MAR clogging-related articles indexed in the Web of Science Core Collection (WoSCC) from 1995 to 2025. A comprehensive analysis, including article keywords, author productivity and institutional/country collaboration mapping, were conducted to reveal the current research status, development, and research frontier of MAR clogging. The results reveal three prevalent clogging types—physical clogging, chemical clogging, and bioclogging—thereby confirming the long-standing focus on single clogging type and the progressively deepening understanding of intrinsic mechanisms. Bioclogging, in particular, remains a persistent hotspot. By contrast, keywords related to gas clogging and combined clogging do not appear in the co-occurrence mapping. This absence does not indicate a lack of research on these mechanisms; rather, it likely reflects the limited volume of gas-clogging studies and studies that investigate combined clogging without explicitly labeling it in author keywords. Furthermore, this review critically examines the methodological constraints of SA and identifies persistent challenges such as unequal research development and insufficient collaboration, also proposes recommendations for the future development of the clogging research. The study suggests that the combined clogging mechanism requires continued attention. Extending modelling approaches and strengthening cross-border collaboration constitute the promising direction for future research on MAR clogging. The study enables researchers to identify emerging research frontiers and hotspots through a scientometric lens, thereby providing novel insights into MAR clogging research.</p>

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Knowledge Mapping for Porous Media Clogging During Managed Aquifer Recharge by Scientometric Analysis

  • 期刊论文

  • 发表日期：

    2026年2月28日

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  • Huan Wang,
  • Dengbo Yang,
  • Junjie Wu,
  • Yunhai Fang

摘要

Managed aquifer recharge (MAR) has emerged as a cost-effective technology for sustainable groundwater resource management, yet the efficiency of MAR systems is significantly impaired by porous media clogging. The study employs CiteSpace-based scientometric analysis (SA) to systematically investigate 440 MAR clogging-related articles indexed in the Web of Science Core Collection (WoSCC) from 1995 to 2025. A comprehensive analysis, including article keywords, author productivity and institutional/country collaboration mapping, were conducted to reveal the current research status, development, and research frontier of MAR clogging. The results reveal three prevalent clogging types—physical clogging, chemical clogging, and bioclogging—thereby confirming the long-standing focus on single clogging type and the progressively deepening understanding of intrinsic mechanisms. Bioclogging, in particular, remains a persistent hotspot. By contrast, keywords related to gas clogging and combined clogging do not appear in the co-occurrence mapping. This absence does not indicate a lack of research on these mechanisms; rather, it likely reflects the limited volume of gas-clogging studies and studies that investigate combined clogging without explicitly labeling it in author keywords. Furthermore, this review critically examines the methodological constraints of SA and identifies persistent challenges such as unequal research development and insufficient collaboration, also proposes recommendations for the future development of the clogging research. The study suggests that the combined clogging mechanism requires continued attention. Extending modelling approaches and strengthening cross-border collaboration constitute the promising direction for future research on MAR clogging. The study enables researchers to identify emerging research frontiers and hotspots through a scientometric lens, thereby providing novel insights into MAR clogging research.