Bibliometric Analysis of River Erosion Control Measures: Examination of Practices and Barriers in Colombia
Abstract
:1. Introduction
- Bibliometric Analysis: Utilize VOSviewer (version 1.6.20) and Scopus data to map global scientific production, identifying research trends, temporal evolution, leading countries, and keyword co-occurrence networks. This analysis will allow for the visualization of the thematic structure of the field and the detection of gaps in the existing literature.
- Establishment of a Baseline: Conduct a survey targeting professionals in Colombia to delineate key areas, assess current practices, and gather perceptions on riverbank protection. This survey will serve to compare local practices with global trends.
- Evaluation of Practices and Perceptions: Collect and analyze data on local riverbank protection practices, contrasting them with the best global practices identified in the bibliometric analysis.
- Identification of Gaps and Future Proposals: Highlight gaps in current research and propose future directions, including the development of more accurate predictive models and the integration of interdisciplinary approaches that consider climate change and nature-based methods.
2. Materials and Methods
2.1. Bibliometric Analysis
- Development of the Keyword Co-occurrence Network: A keyword co-occurrence network was developed to identify frequent terms and interconnections. Central nodes such as “riverbank”, “erosion”, and “control” were visualized, highlighting their fundamental role in erosion research. VOSviewer was used to map relationships and determine centrality and frequency, following well-established approaches in the literature [25].
- Identification of the Most Cited Articles: The most cited articles were identified by assessing citations in Scopus to evaluate the impact of publications. These articles were ranked according to their impact, emphasizing those with the most significant influence on current research on erosion and fluvial structures based on consolidated analyses in the field [26].
- Analysis of the Geographical Distribution of Research: A study was conducted to identify the geographical distribution of scientific production, highlighting countries and cities with the highest contributions. Global contributions were mapped, and factors influencing the research capacity in different regions were evaluated, employing recognized analytical approaches in comparable studies [27].
- Temporal Evolution of Publications: The temporal evolution of publications was analyzed to identify trends and changes over time. Time series were used to evaluate the number of publications per year and determine factors influencing peaks and troughs in scientific production, inspired by established techniques from previous studies [28].
- Evaluation of Major Thematic Areas and Subtopics: The major thematic areas and subtopics in erosion research in fluvial structures were evaluated. Research was categorized according to thematic areas, and the relevance of each topic within the field was analyzed, following detailed procedures outlined in previous works [29].
2.2. Evaluation of Scour Mitigation Practices in Colombia
2.2.1. Establishment of the Question Bank
- Awareness and General Practices: Questions on the awareness of scour failures, using manuals and documents, and evaluating design criteria.
- Technical Details: Inquiries about specific erosion mitigation measures, equations for calculating erosion depth, and criteria for selecting different countermeasures.
- Monitoring and Updates: The frequency of supervision, willingness to share information, and periodic review of manuals and documents.
- Challenges and Environmental Considerations: Identification of the most significant challenges in designing riverbank protection structures and critical environmental factors to consider.
2.2.2. Pilot Testing and Final Survey Establishment
2.2.3. Main Survey Application
3. Results
3.1. Co-Occurrence Analysis
3.1.1. Green Cluster: Fluvial Dynamics and Erosion Management
3.1.2. Blue Cluster: Sediment Transport and Deposition
3.1.3. Red Cluster: Soil Erosion and Bioengineering Techniques
3.1.4. Yellow Cluster: Floodplains and Soil Reinforcement Techniques
3.2. Highly Cited Articles on Riverbank Erosion Control
3.3. Distribution of the Thematic Axis of Research
3.4. Temporal Evolution of Publications and Citation
3.5. Bibliometric Analysis by Geographical Location
3.6. Validation of the Question Pool
3.7. Implementation and Analysis of the Survey
4. Discussion
4.1. Co-Occurrence Analysis
4.2. Highly Cited Articles on Riverbank Erosion Control
4.3. Distribution of the Thematic Axis of Research
4.4. Temporal Evolution of Publications and Citations
4.5. Bibliometric Analysis by Geographical Location
4.6. Validation of the Question Pool
4.7. Implementation and Analysis of the Survey
4.8. Future Perspectives on Riverbank Protection
5. Conclusions
Author Contributions
Funding
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
- Broadus, R.N. Early Approaches to Bibliometrics. J. Am. Soc. Inf. Sci. 1987, 38, 127–129. [Google Scholar] [CrossRef]
- Laursen, E.M.; Richardson, E.V.; Richardson, J.R.; Melville, B.W. Discussions and Closure: Pier and Abutment Scour: Integrated Approach. J. Hydraul. Eng. 1998, 124, 769–774. [Google Scholar] [CrossRef]
- Barman, T. Relation of Riverbank Erosion with Agricultural Landuse Practices on Floodplain of River Jaldhaka (Mansai) at Tikiner Char, Bhowerthana Village, Coochbehar, Westbengal, India. Int. J. Res. Geogr. 2016, 2, 1–7. [Google Scholar] [CrossRef]
- Berkovich, K.M.; Zlotina, L.V.; Turykin, L.A. Riverbank Erosion: Factors, Mechanism, Human Activity. Geomorphol. RAS 2019, 3–17. [Google Scholar] [CrossRef]
- Khan, B.; Nabia, S.A.; Rahman, M.A. The Effect of Riverbank Erosion on Lives and Livelihoods of Rural People: A Study on Nolian Village, Khulna, Bangladesh. J. Sci. Technol. Environ. Inform. 2018, 6, 466–473. [Google Scholar] [CrossRef]
- McMahon, J.M.; Olley, J.M.; Brooks, A.P.; Smart, J.C.R.; Stewart-Koster, B.; Venables, W.N.; Curwen, G.; Kemp, J.; Stewart, M.; Saxton, N.; et al. Vegetation and Longitudinal Coarse Sediment Connectivity Affect the Ability of Ecosystem Restoration to Reduce Riverbank Erosion and Turbidity in Drinking Water. Sci. Total Environ. 2020, 707, 135904. [Google Scholar] [CrossRef] [PubMed]
- Florsheim, J.L.; Mount, J.F.; Chin, A. Bank Erosion as a Desirable Attribute of Rivers. Bioscience 2008, 58, 519–529. [Google Scholar] [CrossRef]
- Schmitt, K.; Schäffer, M.; Koop, J.; Symmank, L. River Bank Stabilisation by Bioengineering: Potentials for Ecological Diversity. J. Appl. Water Eng. Res. 2018, 6, 262–273. [Google Scholar] [CrossRef]
- Huang, L.; Sato, T.; Kano, Y. Effect of Bank Type on Fish Biodiversity in the Middle-Lower Reaches of East Tiaoxi River, China. Shengtai Xuebao/Acta Ecol. Sin. 2011, 31, 3415–3423. [Google Scholar]
- Chardon, V.; Schmitt, L.; Clutier, A. Bank Re-erosion Action to Promote Sediment Supply and Channel Diversification: Feedback from a Restoration Test on the Rhine. River Res. Appl. 2022, 38, 975–987. [Google Scholar] [CrossRef]
- Cavaillé, P.; Ducasse, L.; Breton, V.; Dommanget, F.; Tabacchi, E.; Evette, A. Functional and Taxonomic Plant Diversity for Riverbank Protection Works: Bioengineering Techniques Close to Natural Banks and beyond Hard Engineering. J. Environ. Manag. 2015, 151, 65–75. [Google Scholar] [CrossRef] [PubMed]
- Piton, G.; Loucougaray, G.; Daumergue, N.; Breton, V.; Evette, A. The Beaver’s Menu: Species and Spatial Selection of a European Beaver Population and Implications for Riverbank Bioengineering. Wetl. Ecol. Manag. 2020, 28, 901–908. [Google Scholar] [CrossRef]
- Lanau, S. The Growth Return of Infrastructure in Latin America. IMF Work. Pap. 2017, 17, 1. [Google Scholar] [CrossRef]
- Cañizares, R.; Alfageme, S.; Mahoney, T. Design of Navigation Channel Deepening Works Using a Morphological Model in Barranquilla, Columbia. In Proceedings of the Coastal Sediments ’07; American Society of Civil Engineers: Reston, VA, USA, 2007; pp. 2345–2357. [Google Scholar]
- Fleskens, L.; Kirkby, M.J.; Irvine, B.J. The PESERA-DESMICE Modeling Framework for Spatial Assessment of the Physical Impact and Economic Viability of Land Degradation Mitigation Technologies. Front. Environ. Sci 2016, 4, 31. [Google Scholar] [CrossRef]
- Posthumus, H.; Deeks, L.K.; Rickson, R.J.; Quinton, J.N. Costs and Benefits of Erosion Control Measures in the UK. Soil Use Manag. 2015, 31, 16–33. [Google Scholar] [CrossRef]
- Sittig, S.; Sur, R.; Baets, D. Runoff Mitigation via Micro-dams and Conservation Tillage—Numerical Modeling of Runoff and Erosion from Maize Field Trials. Integr. Environ. Assess. Manag. 2022, 18, 1348–1363. [Google Scholar] [CrossRef]
- Aurbacher, J.; Dabbert, S. Integrating GIS-Based Field Data and Farm Modeling in a Watershed to Assess the Cost of Erosion Control Measures: An Example from Southwest Germany. J. Soil Water Conserv. 2009, 64, 350–362. [Google Scholar] [CrossRef]
- Gu, Y.; Lu, F.; Zhang, J. A Bibliometric Analysis of Measures for Controlling Slope and Watershed Erosion from 2010 to 2019. IOP Conf. Ser. Earth Environ. Sci. 2021, 675, 012039. [Google Scholar] [CrossRef]
- Bordoloi, K.; Nikam, B.R.; Srivastav, S.K.; Sahariah, D. Assessment of Riverbank Erosion and Erosion Probability Using Geospatial Approach: A Case Study of the Subansiri River, Assam, India. Appl. Geomat. 2020, 12, 265–280. [Google Scholar] [CrossRef]
- Chadegani, A.A.; Salehi, H.; Yunus, M.M.; Farhadi, H.; Fooladi, M.; Farhadi, M.; Ebrahim, N.A. A Comparison between Two Main Academic Literature Collections: Web of Science and Scopus Databases. Asian Soc. Sci. 2013, 9, 18–26. [Google Scholar] [CrossRef]
- Mongeon, P.; Paul-Hus, A. The Journal Coverage of Web of Science and Scopus: A Comparative Analysis. Scientometrics 2016, 106, 213–228. [Google Scholar] [CrossRef]
- Harzing, A.-W.; Alakangas, S. Google Scholar, Scopus and the Web of Science: A Longitudinal and Cross-Disciplinary Comparison. Scientometrics 2016, 106, 787–804. [Google Scholar] [CrossRef]
- Mutz, R.; Daniel, H.-D. How to Consider Fractional Counting and Field Normalization in the Statistical Modeling of Bibliometric Data: A Multilevel Poisson Regression Approach. J. Inf. 2019, 13, 643–657. [Google Scholar] [CrossRef]
- Duró, G.; Crosato, A.; Kleinhans, M.G.; Uijttewaal, W.S.J. Bank Erosion Processes Measured with UAV-SfM along Complex Banklines of a Straight Mid-Sized River Reach. Earth Surf. Dyn. 2018, 6, 933–953. [Google Scholar] [CrossRef]
- Bezak, N. A Global Bibliometric Perspective on Soil Erosion Modelling. In Proceedings of the EGU General Assembly 2020, Online, 4–8 May 2020. [Google Scholar]
- Lima, C.O.; Bonetti, J. Bibliometric Analysis of the Scientific Production on Coastal Communities’ Social Vulnerability to Climate Change and to the Impact of Extreme Events. Nat. Hazards 2020, 102, 1589–1610. [Google Scholar] [CrossRef]
- Iqbal, U.; Riaz, M.Z.B.; Zhao, J.; Barthelemy, J.; Perez, P. Drones for Flood Monitoring, Mapping and Detection: A Bibliometric Review. Drones 2023, 7, 32. [Google Scholar] [CrossRef]
- Ankrah, J.; Monteiro, A.; Madureira, H. Bibliometric Analysis of Data Sources and Tools for Shoreline Change Analysis and Detection. Sustainability 2022, 14, 4895. [Google Scholar] [CrossRef]
- Thorne, C.R.; Abt, S.R. Analysis of Riverbank Instability Due to Toe Scour and Lateral Erosion. Earth Surf. Process. Landf. 1993, 18, 835–843. [Google Scholar] [CrossRef]
- Marta, R.; Pedro, M.-V.J.; Koen, B. Reduction of Bend Scour by an Outer Bank Footing: Footing Design and Bed Topography. J. Hydraul. Eng. 2007, 133, 139–147. [Google Scholar] [CrossRef]
- Park, C.G. Implementing Alternative Estimation Methods to Test the Construct Validity of Likert-Scale Instruments. Korean J. Women Health Nurs. 2023, 29, 85–90. [Google Scholar] [CrossRef]
- Sammut, R.; Griscti, O.; Norman, I.J. Strategies to Improve Response Rates to Web Surveys: A Literature Review. Int. J. Nurs. Stud. 2021, 123, 104058. [Google Scholar] [CrossRef] [PubMed]
- Shiyab, W.; Ferguson, C.; Rolls, K.; Halcomb, E. Solutions to Address Low Response Rates in Online Surveys. Eur. J. Cardiovasc. Nurs. 2023, 22, 441–444. [Google Scholar] [CrossRef]
- Cely, N. Survey on Engineering Practices in Riverbank Protection and Erosion Control in Colombian Rivers: Dataset. Mendeley Data. 2024. Available online: https://data.mendeley.com/datasets/9hyd8cbhnk/1 (accessed on 1 September 2024). [CrossRef]
- Stewart, R.J.; Hallet, B.; Zeitler, P.K.; Malloy, M.A.; Allen, C.M.; Trippett, D. Brahmaputra Sediment Flux Dominated by Highly Localized Rapid Erosion from the Easternmost Himalaya. Geology 2008, 36, 711. [Google Scholar] [CrossRef]
- Wilkinson, S.N.; Prosser, I.P.; Rustomji, P.; Read, A.M. Modelling and Testing Spatially Distributed Sediment Budgets to Relate Erosion Processes to Sediment Yields. Environ. Model. Softw. 2009, 24, 489–501. [Google Scholar] [CrossRef]
- Julian, J.P.; Torres, R. Hydraulic Erosion of Cohesive Riverbanks. Geomorphology 2006, 76, 193–206. [Google Scholar] [CrossRef]
- Atkinson, P.M.; German, S.E.; Sear, D.A.; Clark, M.J. Exploring the Relations Between Riverbank Erosion and Geomorphological Controls Using Geographically Weighted Logistic Regression. Geogr. Anal. 2003, 35, 58–82. [Google Scholar] [CrossRef]
- Jaffe, B.E.; Smith, R.E.; Foxgrover, A.C. Anthropogenic Influence on Sedimentation and Intertidal Mudflat Change in San Pablo Bay, California: 1856–1983. Estuar. Coast. Shelf Sci. 2007, 73, 175–187. [Google Scholar] [CrossRef]
- Hubble, T.C.T.; Docker, B.B.; Rutherfurd, I.D. The Role of Riparian Trees in Maintaining Riverbank Stability: A Review of Australian Experience and Practice. Ecol. Eng. 2010, 36, 292–304. [Google Scholar] [CrossRef]
- Evette, A.; Labonne, S.; Rey, F.; Liebault, F.; Jancke, O.; Girel, J. History of Bioengineering Techniques for Erosion Control in Rivers in Western Europe. Environ. Manag. 2009, 43, 972–984. [Google Scholar] [CrossRef]
- Martha, T.R.; Roy, P.; Govindharaj, K.B.; Kumar, K.V.; Diwakar, P.G.; Dadhwal, V.K. Landslides Triggered by the June 2013 Extreme Rainfall Event in Parts of Uttarakhand State, India. Landslides 2015, 12, 135–146. [Google Scholar] [CrossRef]
- Rinaldi, M.; Casagli, N.; Dapporto, S.; Gargini, A. Monitoring and Modelling of Pore Water Pressure Changes and Riverbank Stability during Flow Events. Earth Surf. Process. Landf. 2004, 29, 237–254. [Google Scholar] [CrossRef]
- Notebaert, B.; Verstraeten, G.; Govers, G.; Poesen, J. Qualitative and Quantitative Applications of LiDAR Imagery in Fluvial Geomorphology. Earth Surf. Process. Landf. 2009, 34, 217–231. [Google Scholar] [CrossRef]
- Cobos Alvarado, F.; Peñaherrera León, M.; Ortiz Colon, A.M. Validation of a Questionnaire on Research-Based Learning with Engineering Students. J. Technol. Sci. Educ. 2016, 6, 219. [Google Scholar] [CrossRef]
- Yan, T. Survey Questionnaire Design. In Wiley StatsRef: Statistics Reference Online; Wiley: New York, NY, USA, 2017; pp. 1–12. [Google Scholar]
- Das, V.K.; Roy, S.; Barman, K.; Chaudhuri, S.; Debnath, K. Cohesive River Bank Erosion Mechanism under Wave-Current Interaction: A Flume Study. J. Earth Syst. Sci. 2020, 129, 99. [Google Scholar] [CrossRef]
- Chassiot, L.; Lajeunesse, P.; Bernier, J.-F. Riverbank Erosion in Cold Environments: Review and Outlook. Earth Sci. Rev. 2020, 207, 103231. [Google Scholar] [CrossRef]
- Gao, P.; Li, Z.; Yang, H. Variable Discharges Control Composite Bank Erosion in Zoige Meandering Rivers. Catena 2021, 204, 105384. [Google Scholar] [CrossRef]
- Dubey, A.A.; Ravi, K.; Shahin, M.A.; Dhami, N.K.; Mukherjee, A. Bio-Composites Treatment for Mitigation of Current-Induced Riverbank Soil Erosion. Sci. Total Environ. 2021, 800, 149513. [Google Scholar] [CrossRef]
- Jia, X.; Wang, H.; Li, Y. Desert Channel Erosion, Accretion Characteristics and Their Implications for Aeolian–Fluvial Interactions: A Case Study in a Desert Watershed in the Ordos Plateau, China. Environ. Earth Sci. 2021, 80, 371. [Google Scholar] [CrossRef]
- Spyropoulos, E.; Darby, S.E. Computational Fluid Dynamics (CFD) Modelling to Estimate Fluvial Bank Erosion—A Case Study. J. Geosci. Environ. Prot. 2020, 8, 17–43. [Google Scholar] [CrossRef]
- Hayes, E.; Higgins, S.; Mullan, D.; Geris, J. High-Resolution Assessment of Riverbank Erosion and Stabilization Techniques with Associated Water Quality Implications. Int. J. River Basin Manag. 2023, 23, 1–15. [Google Scholar] [CrossRef]
- Akinola, A.I.; Wynn-Thompson, T.; Olgun, C.G.; Mostaghimi, S.; Eick, M.J. Fluvial Erosion Rate of Cohesive Streambanks Is Directly Related to the Difference in Soil and Water Temperatures. J. Environ. Qual. 2019, 48, 1741–1748. [Google Scholar] [CrossRef]
- Gasser, E.; Perona, P.; Dorren, L.; Phillips, C.; Hübl, J.; Schwarz, M. A New Framework to Model Hydraulic Bank Erosion Considering the Effects of Roots. Water 2020, 12, 893. [Google Scholar] [CrossRef]
- Gholami, V.; Khaleghi, M.R. The Impact of Vegetation on the Bank Erosion (Case Study: The Haraz River). Soil Water Res. 2013, 8, 158–164. [Google Scholar] [CrossRef]
- Arora, S.; Patel, H.K.; Lade, A.D.; Kumar, B. Turbulence Structure and Bank Erosion Process in a Dredged Channel. River Res. Appl. 2023, 39, 613–628. [Google Scholar] [CrossRef]
- Liu, X.; Shi, C.; Zhou, Y.; Gu, Z.; Li, H. Response of Erosion and Deposition of Channel Bed, Banks and Floodplains to Water and Sediment Changes in the Lower Yellow River, China. Water 2019, 11, 357. [Google Scholar] [CrossRef]
- Capobianco, V.; Robinson, K.; Kalsnes, B.; Ekeheien, C.; Høydal, Ø. Hydro-Mechanical Effects of Several Riparian Vegetation Combinations on the Streambank Stability—A Benchmark Case in Southeastern Norway. Sustainability 2021, 13, 4046. [Google Scholar] [CrossRef]
- Valyrakis, M.; Liu, D.; Turker, U.; Yagci, O. The Role of Increasing Riverbank Vegetation Density on Flow Dynamics across an Asymmetrical Channel. Environ. Fluid Mech. 2021, 21, 643–666. [Google Scholar] [CrossRef]
- Hao, Y.; Jia, D.; Zhang, X.; Shang, Q.; Zhu, H.; Fei, X.; Yang, J.; Wu, L.; Chen, C. Stability Analysis of Riverbanks with a Dual Structure under Water–Root–Soil Coupling. Water Sci. Technol. 2023, 88, 658–676. [Google Scholar] [CrossRef]
- Krzeminska, D.; Kerkhof, T.; Skaalsveen, K.; Stolte, J. Effect of Riparian Vegetation on Stream Bank Stability in Small Agricultural Catchments. Catena 2019, 172, 87–96. [Google Scholar] [CrossRef]
- Vianna, V.F.; Fleury, M.P.; Menezes, G.B.; Coelho, A.T.; Bueno, C.; Lins da Silva, J.; Luz, M.P. Bioengineering Techniques Adopted for Controlling Riverbanks’ Superficial Erosion of the Simplício Hydroelectric Power Plant, Brazil. Sustainability 2020, 12, 7886. [Google Scholar] [CrossRef]
- Gragnano, C.G.; Gottardi, G.; Toth, E. Monitoring Soil Retention Properties in a Riverbank Susceptible to Fluvial Erosion. In Proceedings of the EGU General Assembly Conference Abstracts, Virtual Event, 19–30 April 2021. [Google Scholar]
- Yusuf, A.R.; Ardi, M.; Mandra, M.A. Community Engagement in Erosion Control of Riverbank in Walanae Watershed, South Sulawesi, Indonesia. In Proceedings of the 3rd International Conference on Education, Science, and Technology (ICEST 2019), Makassar, Indonesia, 19–20 October 2019; Atlantis Press: Paris, France, 2020. [Google Scholar]
- Lopes, B.T.; Eliasy, A.; Elhalwagy, M.; Vinciguerra, R.; Bao, F.; Vinciguerra, P.; Ambrósio, R.; Elsheikh, A.; Abass, A. Determination of Optic Axes by Corneal Topography among Italian, Brazilian, and Chinese Populations. Photonics 2021, 8, 61. [Google Scholar] [CrossRef]
- Brown, D.R.N.; Brinkman, T.J.; Bolton, W.R.; Brown, C.L.; Cold, H.S.; Hollingsworth, T.N.; Verbyla, D.L. Implications of Climate Variability and Changing Seasonal Hydrology for Subarctic Riverbank Erosion. Clim. Chang. 2020, 162, 1–20. [Google Scholar] [CrossRef]
- Nam, S.; Gutierrez, M.; Diplas, P.; Petrie, J. Effects of Hydropower Dam Operation on Riverbank Stability. Infrastructures 2021, 6, 127. [Google Scholar] [CrossRef]
- Tri, V.P.D.; Trung, P.K.; Trong, T.M.; Parsons, D.R.; Darby, S.E. Assessing Social Vulnerability to Riverbank Erosion across the Vietnamese Mekong Delta. Int. J. River Basin Manag. 2023, 21, 501–512. [Google Scholar] [CrossRef]
- Saleem, A.; Dewan, A.; Rahman, M.M.; Nawfee, S.M.; Karim, R.; Lu, X.X. Spatial and Temporal Variations of Erosion and Accretion: A Case of a Large Tropical River. Earth Syst. Environ. 2020, 4, 167–181. [Google Scholar] [CrossRef]
- Tha, T.; Piman, T.; Bhatpuria, D.; Ruangrassamee, P. Assessment of Riverbank Erosion Hotspots along the Mekong River in Cambodia Using Remote Sensing and Hazard Exposure Mapping. Water 2022, 14, 1981. [Google Scholar] [CrossRef]
- Langhorst, T.; Pavelsky, T. Global Observations of Riverbank Erosion and Accretion from Landsat Imagery. J. Geophys. Res. Earth Surf. 2023, 128, e2022JF006774. [Google Scholar] [CrossRef]
- Li, P.; Qian, H. Water Resources Research to Support a Sustainable China. Int. J. Water Resour. Dev. 2018, 34, 327–336. [Google Scholar] [CrossRef]
- Aleixandre-Tudó, J.L.; Castelló-Cogollos, L.; Aleixandre, J.L.; Aleixandre-Benavent, R. Emerging Topics in Scientific Research on Global Water-Use Efficiency. J. Agric. Sci. 2019, 157, 480–492. [Google Scholar] [CrossRef]
- Mamun, A.A.; Islam, A.R.M.T.; Alam, E.; Chandra Pal, S.; Alam, G.M.M. Assessing Riverbank Erosion and Livelihood Resilience Using Traditional Approaches in Northern Bangladesh. Sustainability 2022, 14, 2348. [Google Scholar] [CrossRef]
- Ramírez-Castañeda, V. Disadvantages in Preparing and Publishing Scientific Papers Caused by the Dominance of the English Language in Science: The Case of Colombian Researchers in Biological Sciences. PLoS ONE 2020, 15, e0238372. [Google Scholar] [CrossRef]
- Clerici, N.; Cote-Navarro, F.; Escobedo, F.J.; Rubiano, K.; Villegas, J.C. Spatio-Temporal and Cumulative Effects of Land Use-Land Cover and Climate Change on Two Ecosystem Services in the Colombian Andes. Sci. Total Environ. 2019, 685, 1181–1192. [Google Scholar] [CrossRef]
- López-Valencia, A.P. Vulnerability Assessment in Urban Areas Exposed to Flood Risk: Methodology to Explore Green Infrastructure Benefits in a Simulation Scenario Involving the Cañaveralejo River in Cali, Colombia. Nat. Hazards 2019, 99, 217–245. [Google Scholar] [CrossRef]
- Munar, A.M.; Mendez, N.; Narvaez, G.; Campo Zambrano, F.; Motta-Marques, D.; Lyra Fialho Brêda, J.P.; Santos Fleischmann, A.; Angarita, H. Modelling the Climate Change Impacts on River Discharge and Inundation Extent in the Magdalena River Basin–Colombia. Hydrol. Sci. J. 2023, 68, 1286–1300. [Google Scholar] [CrossRef]
- Jeuken, A.; Bouaziz, L.; Corzo, G.; Alfonso, L. Analyzing Needs for Climate Change Adaptation in the Magdalena River Basin in Colombia. In Climate Change Adaptation, Resilience and Hazards; Springer: Cham, Switzerland, 2016; pp. 329–344. [Google Scholar]
- Richerzhagen, C.; Rodríguez de Francisco, J.; Weinsheimer, F.; Döhnert, A.; Kleiner, L.; Mayer, M.; Morawietz, J.; Philipp, E. Ecosystem-Based Adaptation Projects, More than Just Adaptation: Analysis of Social Benefits and Costs in Colombia. Int. J. Environ. Res Public Health 2019, 16, 4248. [Google Scholar] [CrossRef]
- Mellado, D.E.G.; de Mello, C.R.; Curi, N. Environmental Degradation Risk by Water Erosion in a Water Producer Colombian Andes Basin. Ciênc. Agrotecnol. 2021, 45, e010021. [Google Scholar] [CrossRef]
- Rojas, C.; De Meulder, B.; Shannon, K. Water Urbanism in Bogotá. Exploring the Potentials of an Interplay between Settlement Patterns and Water Management. Habitat Int. 2015, 48, 177–187. [Google Scholar] [CrossRef]
- Leroy, D. Farmers’ Perceptions of and Adaptations to Water Scarcity in Colombian and Venezuelan Páramos in the Context of Climate Change. Mt. Res. Dev. 2019, 39, R21–R34. [Google Scholar] [CrossRef]
- Martín, T.; Guzmán, P.A.; Lizundia, E.; Arizti, P. Public Investment Management in Colombia; World Bank: Washington, DC, USA, 2018. [Google Scholar]
- Parreira, M.R.; Soares, P.T.; Nabout, J.C. Spatial Structure of National and International Scientific Collaboration in the Brazilian Cerrado Research. Front. J. Soc. Technol. Environ. Sci. 2022, 11, 83–95. [Google Scholar] [CrossRef]
- He, C.; Wu, J.; Zhang, Q. Characterizing Research Leadership on Geographically Weighted Collaboration Network. Scientometrics 2021, 126, 4005–4037. [Google Scholar] [CrossRef]
- Kelman, G.; Levy, M.; Manes, E. Does Our World “Weigh” Less Right Now? The Gravitational Pull in a Scientific Collaboration Network Is Getting Weaker with Time. In Proceedings of the 53rd Hawaii International Conference on System Sciences (HICSS 2020), Maui, HI, USA, 7–10 January 2020. [Google Scholar]
- Jager, N.W.; Newig, J.; Challies, E.; Kochskämper, E.; von Wehrden, H. Case Study Meta-analysis in the Social Sciences. Insights on Data Quality and Reliability from a Large-N Case Survey. Res. Synth. Methods 2022, 13, 12–27. [Google Scholar] [CrossRef] [PubMed]
- Arnold, F.; Khan, S.M. Perspectives and Implications of the Improving Coverage Measurement Core Group’s Validation Studies for Household Surveys. J. Glob. Health 2018, 8, 010606. [Google Scholar] [CrossRef] [PubMed]
- Schwab, T.; Fassl, B.; Langell, J. The Importance of Design Validation in Global Health Surgical Innovation. Surg. Innov. 2018, 25, 563–569. [Google Scholar] [CrossRef]
- Nelitz, M.A.; Beardmore, B. Eliciting Judgments, Priorities, and Values Using Structured Survey Methods. In Environmental Modeling with Stakeholders; Springer International Publishing: Cham, Switzerland, 2017; pp. 65–81. [Google Scholar]
- Kluemper, D.H. Survey Design. In Oxford Research Encyclopedia of Business and Management; Oxford University Press: Oxford, UK, 2021. [Google Scholar]
- Irvine, K.M.; Rodhouse, T.J.; Wright, W.J.; Olsen, A.R. Occupancy Modeling Species–Environment Relationships with Non-ignorable Survey Designs. Ecol. Appl. 2018, 28, 1616–1625. [Google Scholar] [CrossRef] [PubMed]
- Aginako, Z.; Peña-Lang, M.B.; Bedialauneta, M.T.; Guraya, T. Analysis of the Validity and Reliability of a Questionnaire to Measure Students’ Perception of Inclusion of Sustainability in Engineering Degrees. Int. J. Sustain. High. Educ. 2021, 22, 1402–1420. [Google Scholar] [CrossRef]
- Xiong, M.; Sun, R.; Chen, L. Effects of Soil Conservation Techniques on Water Erosion Control: A Global Analysis. Sci. Total Environ. 2018, 645, 753–760. [Google Scholar] [CrossRef]
- Toth, E.; Guerrero, M.; Gragnano, C.; Domeneghetti, A.; D’agostino, D. Laboratory Experiments for Analysing the Impact of Herbaceous Vegetation on Riverbank Erosion. In Proceedings of the EGU General Assembly Conference Abstracts, Online, 4–8 May 2020. [Google Scholar]
- Poesen, J. Soil Erosion in the Anthropocene: Research Needs. Earth Surf. Process. Landf. 2018, 43, 64–84. [Google Scholar] [CrossRef]
- da Luz, M.; Aparicio Ardila, M.; dos Santos Junior, R.; Valentin, C.; Schliewe, M.; Coelho, A.; Lins da Silva, J. Geomats Used to Control Erosion on Reservoir Margins in Brazilian Hydroelectric Power Plants. Water 2021, 13, 1444. [Google Scholar] [CrossRef]
- Velázquez-Luna, L.; Ventura-Ramos, E.; Revuelta-Acosta, J.D. Effectiveness of Gabions Dams on Sediment Retention: A Case Study. J. Environ. Sci. Eng. A 2016, 5, 516–521. [Google Scholar] [CrossRef]
- Do, J.; Montoya, B.M.; Gabr, M.A. Scour Mitigation and Erodibility Improvement Using Microbially Induced Carbonate Precipitation. Geotech. Test. J. 2021, 44, 1467–1483. [Google Scholar] [CrossRef]
- Restrepo, J.D.; Kettner, A.J.; Syvitski, J.P.M. Recent Deforestation Causes Rapid Increase in River Sediment Load in the Colombian Andes. Anthropocene 2015, 10, 13–28. [Google Scholar] [CrossRef]
- Gendaszek, A.S.; Burton, K.; Magirl, C.S.; Konrad, C.P. Streambed Scour of Salmon Spawning Habitat in a Regulated River Influenced by Management of Peak Discharge. Freshw. Biol. 2018, 63, 917–927. [Google Scholar] [CrossRef]
- Arneson, L.A.; Zevenbergen, L.W.; Lagasse, P.F.; Clopper, P. Evaluating Scour at Bridges, 5th ed.; National Highway Institute (US): Arlington, VA, USA, 2012. [Google Scholar]
- Rangel-Buitrago, N.; Williams, A.T.; Anfuso, G. Hard Protection Structures as a Principal Coastal Erosion Management Strategy along the Caribbean Coast of Colombia. A Chronicle of Pitfalls. Ocean Coast. Manag. 2018, 156, 58–75. [Google Scholar] [CrossRef]
- Williams, P.; Balachandar, R.; Roussinova, V.; Barron, R. PIV measurements around a submerged cylinder with local scour protection. In Proceedings of the 38th IAHR World Congress, Panama City, Panama, 1–6 September 2019; pp. 2073–2080. [Google Scholar]
- Nsiah, P.K.; Schaaf, W. The Potentials of Biological Geotextiles in Erosion and Sediment Control during Gold Mine Reclamation in Ghana. J. Soils Sediments 2019, 19, 1995–2006. [Google Scholar] [CrossRef]
- Ali, M.R.; Ahmed, Z.; Islam, A.H.; Rahman, M.M. River Bank Erosion, Induced Population Migration and Adaptation Strategies in the Sirajganj Sadar Upazila, Bangladesh. Eur. J. Environ. Earth Sci. 2021, 2, 39–47. [Google Scholar] [CrossRef]
Protection Structure | Common Use | Advantages | Disadvantages | Reference |
---|---|---|---|---|
Articulated Concrete Block Walls | Rivers and canals requiring high durability | High stability under strong hydraulic conditions, excellent erosion resistance, and a long lifespan reduce maintenance needs, ensuring durability. | High initial cost due to specialized materials’ complex installation, requiring heavy machinery and skilled labor, potentially disrupting habitats. | [9] |
Artificial Stone Hexapod Walls | Areas with extreme erosion conditions | Exceptional stability in high-energy environments, high resistance to wave and tidal actions, and long-term durability enhance project longevity. | High manufacturing and transportation costs due to weight installation require precise placement and may disrupt local aquatic ecosystems. | [8] |
Concrete Bag Walls | Temporary and emergency projects | Quick and low-cost installation suitable for emergency deployment, ideal for budget-constrained projects with minimal equipment needs. | Limited durability in harsh conditions, leading to eventual replacement and low esthetic appeal, is often viewed as a temporary fix. | [9] |
Concrete Walls | Urban areas and critical infrastructure | High strength and durability, adequate in flood-prone areas, and capable of withstanding significant loads. | Significant environmental impact from production emissions, high installation and maintenance costs, with potential for cracking over time. | [9] |
Construction of Artificial Banks | Navigable rivers and urban areas | High durability offers long-term flood protection and stabilizes riverbanks, supporting additional infrastructure. | Negative impact on biodiversity by disrupting natural habitats, artificial appearance may not integrate well with the environment, requires extensive planning. | [9] |
Covers | Soil protection in various areas | Effective in preventing soil erosion and surface runoff across diverse environments and terrains. | Durability varies with material choice, leading to frequent maintenance or replacement risk of inadequate protection if not correctly installed. | [8] |
Gabion Walls | Areas with high water flow energy | Durable and flexible in response to environmental stress, effective in dissipating water energy while allowing vegetation growth. | High cost due to durable wire mesh and filling materials, complex maintenance required in corrosive environments, and installation can be labor-intensive. | [8] |
Geobags | Rivers and coasts need stabilization | Flexible and adaptable to various shapes and sizes, easy to install with minimal equipment, often using locally available materials to reduce costs. | Durability depends on material quality, which is susceptible to UV degradation, high relative cost, and potential environmental impact if bags degrade or rupture. | [8] |
Geocontainers | Large coastal and river projects | High storage capacity, ideal for large-scale projects, providing significant protection against erosion and creating stable structures. | High material and installation costs, handling requires specialized equipment, and it is difficult to remove or modify once installed. | [8] |
Geotextiles | Areas with surface erosion problems | Controls surface erosion while reinforcing soil, allowing water permeability and combining well with other erosion control methods. | Performance is heavily dependent on proper substrate preparation and the high cost for durable materials, with potential clogging reducing long-term effectiveness. | [8] |
Natural Stone Rip-Rap Walls | Riverbanks and coasts with high erosion | Easy installation with minimal equipment provides permeability to reduce hydrostatic pressure while blending naturally with the environment. | Esthetic appeal may be low in some contexts, with the potential for stone displacement during high-flow events requiring maintenance limited in high-energy environments. | [8] |
Pile Walls | High-load structural zones | High load-bearing capacity and durability, adequate in deep foundation applications, ensuring long-term stability. | Very high cost due to heavy-duty materials, installation can be challenging in deep or unstable soils, with potential environmental disturbance. | [9] |
Removal of Bank Protection | Regulated rivers and protected areas | Restores natural riverbank processes, promoting long-term biodiversity and ecological improvements while reducing maintenance costs. | It may initially increase erosion and instability until natural vegetation is established. Temporary destabilization may affect nearby infrastructure. | [10] |
Riparian Vegetation | Riverbanks in agricultural and urban regions | Reduces erosion by stabilizing soil with plant roots, improves water quality by filtering runoff, and enhances local wildlife habitats. | It requires significant time to establish fully effective root systems, needs regular maintenance to manage invasive species and ensure plant health, and effectiveness varies with soil and climate. | [6] |
Sandbag Walls | Temporary or emergency solutions | Low-cost and rapid deployment in emergencies, easy to install with minimal equipment, suitable for creating temporary barriers in flood-prone areas. | Limited durability, particularly when exposed to prolonged moisture, and low esthetic value; is often viewed as a temporary solution requiring frequent replacement. | [8] |
Soil Bioengineering | Riverbanks in mountainous and plain regions | It increases ecological diversity by incorporating living plants, improves wildlife habitat, and stabilizes soil as a sustainable, low-impact solution. | Less effective in areas with severe erosion or high-energy flows, it requires long-term maintenance and monitoring to ensure success, with slow initial establishment. | [11] |
Soil-Cement Bag Walls | Rural and low-cost projects | It is low-cost, suitable for budget-limited projects, and provides good resistance to erosion and water flow with simple installation using local materials. | Durability depends on the soil–cement mix and environmental conditions. Frequent maintenance may be needed, with limited esthetic appeal. | [8] |
Use of Wood and Stone Structures | Riverbanks in mountainous areas | Effective stabilization using natural materials improves habitat by providing niches for wildlife and blends well with natural surroundings. | High installation costs due to skilled labor and heavy materials, high maintenance costs, and potential damage from pests, rot, or waterlogging. | [12] |
Used Tire Walls | Low-cost and recycling projects | They have a low cost, use recycled materials, are environmentally friendly, and ae easy to construct with minimal equipment. | Limited durability as tires degrade over time, especially under UV exposure, potential environmental issues from chemical leaching, and low esthetic value. | [8] |
Questions | Percentage | Mean | Standard Deviation | Kendall’s W | ||||
---|---|---|---|---|---|---|---|---|
SD (1) | D (2) | N (3) | A (4) | SA (5) | ||||
1 | 0.0% | 0.0% | 13.3% | 46.7% | 40.0% | 4.3 | 0.69 | 0.833 |
2 | 0.0% | 0.0% | 16.7% | 63.3% | 20.0% | 4.0 | 0.61 | 0.734 |
3 | 0.0% | 0.0% | 3.3% | 66.7% | 30.0% | 4.3 | 0.52 | 0.677 |
4 | 0.0% | 0.0% | 10.0% | 60.0% | 30.0% | 4.2 | 0.61 | 0.757 |
5 | 0.0% | 0.0% | 10.0% | 63.3% | 26.7% | 4.2 | 0.59 | 0.727 |
6 | 0.0% | 3.3% | 13.3% | 83.3% | 0.0% | 3.8 | 0.41 | 0.419 |
7 | 0.0% | 0.0% | 6.7% | 66.7% | 26.7% | 4.2 | 0.55 | 0.685 |
8 | 0.0% | 0.0% | 3.3% | 63.3% | 33.3% | 4.3 | 0.53 | 0.71 |
9 | 0.0% | 0.0% | 100.0% | 0.0% | 0.0% | 3.0 | 0.00 | 0 |
10 | 0.0% | 3.3% | 16.7% | 50.0% | 30.0% | 4.1 | 0.78 | 0.844 |
11 | 0.0% | 3.3% | 56.7% | 40.0% | 0.0% | 3.4 | 0.56 | 0.755 |
12 | 0.0% | 3.3% | 63.3% | 33.3% | 0.0% | 3.3 | 0.53 | 0.71 |
13 | 0.0% | 6.7% | 56.7% | 36.7% | 0.0% | 3.3 | 0.59 | 0.769 |
14 | 0.0% | 3.3% | 63.3% | 33.3% | 0.0% | 3.3 | 0.53 | 0.71 |
15 | 0.0% | 6.7% | 56.7% | 36.7% | 0.0% | 3.3 | 0.59 | 0.769 |
16 | 80.0% | 3.3% | 16.7% | 0.0% | 0.0% | 1.4 | 0.67 | 0.769 |
Category | Subcategory | Frequency | Percentage |
---|---|---|---|
Role | Designer | 32 | 29% |
Consultant | 29 | 26% | |
Supervisor | 20 | 18% | |
Researcher | 18 | 16% | |
Builder | 9 | 8% | |
None of the above | 2 | 2% | |
Total | 110 | 100% | |
Riverbank Protection Structures | Gabion Walls | 18 | 16% |
Natural Stone Rip-Rap Walls | 18 | 16% | |
Concrete Walls | 16 | 15% | |
Concrete-Filled Bags Walls | 15 | 14% | |
Artificial Stone Hexapod Walls | 11 | 10% | |
Sheet Pile Walls | 10 | 9% | |
Sand-Filled Bags Walls | 9 | 8% | |
Articulated Concrete Block Walls | 8 | 7% | |
Used Tire Walls | 5 | 5% | |
None of the above | 0 | 0% | |
Total | 110 | 100% | |
Erosion Mitigation Measures | No | 44 | 40% |
Geobags | 22 | 20% | |
Geotextiles | 11 | 10% | |
Geocontainers | 11 | 10% | |
Soil-Cement Bag Walls | 11 | 10% | |
Coverings | 11 | 10% | |
Total | 110 | 100% | |
Awareness of Scour Failures | Yes | 68 | 61% |
No | 42 | 39% | |
Total | 110 | 100% | |
Manuals and Documents Employed | Road Drainage Manual (National Road Institute “Invías”—Colombia) | 35 | 32% |
Erosion Control in Tropical Areas (Research Document on Erosion and Landslides—Colombia) | 21 | 19% | |
HEC-23 Manual (Bridge Scour and Stream Instability Countermeasures—United States) | 21 | 19% | |
Others | 13 | 12% | |
River Engineering Manual (Document on Hydraulic Behavior of Natural Channels—Mexico) | 8 | 7% | |
River Hydraulics (Methodological Guide on River and Basin Hydraulics—Argentina) | 6 | 5% | |
None of the above | 6 | 5% | |
Total | 110 | 100% | |
Design Criteria Assessment | None exist | 67 | 61% |
Inadequate | 31 | 28% | |
Adequate | 12 | 11% | |
Total | 110 | 100% | |
Erosion Depth Calculation Equations Employed | Lishchvan–Lebediev Equation | 33 | 30% |
None of the above | 21 | 19% | |
US Department of Transportation Federal Highway Administration Equation | 14 | 13% | |
Artamonov Equation | 9 | 8% | |
Hire Equation | 6 | 5% | |
Froehlich Equation | 6 | 5% | |
Blench Equation | 6 | 5% | |
Neill Equation | 3 | 3% | |
Borges Equation | 3 | 3% | |
Maynord Equation | 3 | 3% | |
Lacey Equation | 3 | 3% | |
Others | 3 | 3% | |
Khosronejad et al. Equation | 0 | 0% | |
Universidad de los Andes “ULA Equation” | 0 | 0% | |
Total | 110 | 100% | |
Countermeasures for Scour Employed | Rip-Rap | 32 | 29% |
Gabions | 20 | 18% | |
Sand-Filled Bags | 12 | 11% | |
Tires | 12 | 11% | |
None of the above | 12 | 11% | |
Vegetation (multiple rows) at flow attack edge | 10 | 9% | |
Shoe | 8 | 7% | |
Deflector Wall | 2 | 2% | |
Pavers and vegetation | 2 | 2% | |
Submerged paddles combined with Rip-Rap | 0 | 0% | |
Others | 0 | 0% | |
Total | 110 | 100% | |
Frequency of Supervision for Erosion Control Measures | Never | 55 | 50% |
Annually | 31 | 28% | |
More than once a year | 19 | 17% | |
Biennially | 5 | 5% | |
Total | 110 | 100% |
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Calixto, N.J.C.; Castaño, A.G.; Contreras-Ropero, J.E. Bibliometric Analysis of River Erosion Control Measures: Examination of Practices and Barriers in Colombia. Hydrology 2024, 11, 139. https://doi.org/10.3390/hydrology11090139
Calixto NJC, Castaño AG, Contreras-Ropero JE. Bibliometric Analysis of River Erosion Control Measures: Examination of Practices and Barriers in Colombia. Hydrology. 2024; 11(9):139. https://doi.org/10.3390/hydrology11090139
Chicago/Turabian StyleCalixto, Nelson Javier Cely, Alberto Galvis Castaño, and Jefferson E. Contreras-Ropero. 2024. "Bibliometric Analysis of River Erosion Control Measures: Examination of Practices and Barriers in Colombia" Hydrology 11, no. 9: 139. https://doi.org/10.3390/hydrology11090139
APA StyleCalixto, N. J. C., Castaño, A. G., & Contreras-Ropero, J. E. (2024). Bibliometric Analysis of River Erosion Control Measures: Examination of Practices and Barriers in Colombia. Hydrology, 11(9), 139. https://doi.org/10.3390/hydrology11090139