Fifteen-year analysis of constructed wetland clogging: A critical review

Fang, Yuxin; Kong, Lingwei; Zhang, Pei; Zhang, Lu; Zhao, Haixia; Xiang, Xiaoqin; Cheng, Shuiping; Zhang, Hangjun; Feng, Jianhua; Li, Ling

doi:10.1016/j.jclepro.2022.132755

Cited by 29 publications

(11 citation statements)

References 98 publications

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“…To identify the core content of publications and popular topics in the field, keyword cooccurrence and cluster analyses were conducted to calculate the frequency of keywords and create a connection network in CiteSpace (V 6.2.2 Advanced) [25,27,29,35]. Some irrelevant keywords, such as "I."…”

Section: Analysis Methodsmentioning

confidence: 99%

“…Consequently, 935 published works were obtained from 1996 to 2023, including 903 articles (77 proceedings papers and 26 review articles), 5 editorial materials, and 1 correction. The correction was excluded in the following analysis because its content is less related to the keywords [25]. Finally, a database of 934 published articles was selected.…”

Section: Data Collection and Processingmentioning

confidence: 99%

“…Hilt et al (2006) [18] developed a step-by-step guideline to access the restoration of submerged vegetation in shallow eutrophic lakes, and Rodrigo (2021) [20] synthesized the knowledge in wetlands restoration with macrophytes. However, traditional review methods of analysis cannot extract and summarize all kinds of the information from large amounts of published literature, such as cooperative author relationships, development processes, and potential trends in specific research fields [24,25].…”

Section: Introductionmentioning

confidence: 99%

“…It has been widely used to analyze quantitatively relevant knowledge carriers and explore the development and growth of a specific research field [27][28][29]. With the development of hardware and software, substantial reference and citation data can be efficiently handled via bibliometric analysis, and the results can be applied to different schemes to guide future data-processing practices [25,30,31]. Among these kinds of software, VOSviewer and CiteSpace are two popular tools for science mapping and have been used in many research fields, including ecological and environmental fields [25,29,[32][33][34].…”

Section: Introductionmentioning

confidence: 99%

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A Bibliometric Analysis of Lake Restoration with Submerged Macrophytes

Gao

2023

Water

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Submerged macrophytes have attracted increasing attention in lake restoration due to the importance of their structuring communities and stabilizing functions in lake ecosystems. However, there is still a lack of systematic reviews on lake restoration with submerged macrophytes. Thus, we performed a systematic review based on a bibliometric analysis via analyzing and visualizing 934 published works from 1996 to 2023 from the Web of Science core collection. Publication characteristics were summarized, and keyword co-occurrence networks, reference co-citation analysis, and keyword burst tests were conducted. Our results suggest that the increasing attention in this field has partly resulted from the many water treatments and scientific schemes in Europe, China, and the USA and extensive international cooperation. The development of this field was divided into three stages based on keyword bursts (e.g., early, turning, and recent stages). Alternative stable states and biomanipulation laid the foundations of this field in the early stage. Progress in the field was discussed based on four aspects, the influence of environmental factors on submerged macrophytes, theory and mechanisms, targets, and evaluation and methods. Therefore, our results provide a new and comprehensive understanding of lake restoration with submerged macrophytes.

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Section: Analysis Methodsmentioning

confidence: 99%

Section: Data Collection and Processingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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A Bibliometric Analysis of Lake Restoration with Submerged Macrophytes

Gao

2023

Water

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“…In general, there is no direct method to measure the degree of filter bed clogging. A significant decrease in the substrate's porosity and hydraulic conductivity is observed as a direct cause of clogging (Fang et al, 2022; Singh, Samal, et al, 2019). Hence in this mathematical approach, clogging in the HSSF‐MAVF has been quantified by determining the porosity reduction as per Hua et al (2010).…”

Section: Introductionmentioning

confidence: 99%

Clogging index: A tool to quantify filter bed clogging in horizontal subsurface flow macrophyte‐assisted vermifilter

Suhaib

Bhunia

2023

Water Environment Research

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This study aimed to develop a mathematical index for quantifying filter bed clogging in horizontal subsurface flow macrophyte-assisted vermifilter (HSSF-MAVF). The developed clogging index (CI) simulates the porosity reduction in the HSSF-MAVF bed due to the combined actions of deposition of suspended solids, biofilm generation, and plant growth. A series of experiments based on HSSF-MAVF were conducted to examine the key parameters related to clogging of the vermifilter such as hydraulic loading rates (HLR), organic strength (COD), and total suspended solid (TSS) at different operating conditions for the treatment of synthetic dairy wastewaters. The index was then validated using the data collected from the experiments. The predicted CI was observed to be highly capable of replicating the clogging phenomenon, as observed in this experimental study within the error range of 2-8%. Based on the visual observation and value of CI, filter beds can be grouped as unclogged (CI < 25), partially clogged (25 < CI < 40), and clogged (40 < CI). Clogged filter beds with higher CI resulted in a 5-15% reduction in the COD removal performance of HSSF-MAVFs. Moreover, the CI also envisages one to understand the individual contributions of biofilm growth, suspended solid deposition, and plant roots growth on the filter bed clogging during the operation of vermifilter and thus helps in deciding the proper setting of operational conditions to prolong the time of HSSF-MAVF operations within the acceptable range of bed materials clogging. Practitioner Points:• A mathematical index was developed to quantify clogging of the HSSF-MAVF.• Flow is the most sensitive parameter based upon the sensitivity analysis.• Dairy wastewater was used for the validation of CI.

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