Publication [J.04]
Samaras, A.G. and Koutitas, C.G. (2014). The impact of watershed management on coastal morphology: A case study using an integrated approach and numerical modeling. Geomorphology, 211, pp.52-63, DOI. (PDF*)
Watershed-Coast Systems •• sediment transport •• geomorphology •• integrated approach
Ranked 13th in the "Top 25 Hottest Articles" of the Journal (subject area: Earth and Planetary Sciences) for the period from January to March 2014 (PDF).
Abstract
Coastal morphology evolves as the combined result of both natural- and human- induced factors that cover a wide range of spatial and temporal scales of effect. Areas in the vicinity of natural stream mouths are of special interest, as the direct connection with the upstream watershed extends the search for drivers of morphological evolution from the coastal area to the inland as well. Although the impact of changes in watersheds on the coastal sediment budget is well established, references that study concurrently the two fields and the quantification of their connection are scarce. In the present work, the impact of land-use changes in a watershed on coastal erosion is studied for a selected site in North Greece. Applications are based on an integrated approach to quantify the impact of watershed management on coastal morphology through numerical modeling. The watershed model SWAT and a shoreline evolution model developed by the authors (PELNCON-M) are used, evaluating with the latter the performance of the three longshore sediment transport rate formulae included in the model formulation. Results document the impact of crop abandonment on coastal erosion (agricultural land decreased from 23.3% to 5.1% is accompanied by the retreat of approx. 35 m in the vicinity of the stream mouth) and show the effect of sediment transport formula selection on the evolution of coastal morphology. Analysis denotes the relative importance of the parameters involved in the dynamics of watershed-coast systems, and – through the detailed description of a case study – are deemed to provide useful insights for researchers and policy-makers involved in their study.
Coastal morphology evolves as the combined result of both natural- and human- induced factors that cover a wide range of spatial and temporal scales of effect. Areas in the vicinity of natural stream mouths are of special interest, as the direct connection with the upstream watershed extends the search for drivers of morphological evolution from the coastal area to the inland as well. Although the impact of changes in watersheds on the coastal sediment budget is well established, references that study concurrently the two fields and the quantification of their connection are scarce. In the present work, the impact of land-use changes in a watershed on coastal erosion is studied for a selected site in North Greece. Applications are based on an integrated approach to quantify the impact of watershed management on coastal morphology through numerical modeling. The watershed model SWAT and a shoreline evolution model developed by the authors (PELNCON-M) are used, evaluating with the latter the performance of the three longshore sediment transport rate formulae included in the model formulation. Results document the impact of crop abandonment on coastal erosion (agricultural land decreased from 23.3% to 5.1% is accompanied by the retreat of approx. 35 m in the vicinity of the stream mouth) and show the effect of sediment transport formula selection on the evolution of coastal morphology. Analysis denotes the relative importance of the parameters involved in the dynamics of watershed-coast systems, and – through the detailed description of a case study – are deemed to provide useful insights for researchers and policy-makers involved in their study.
Works that reference this work
[35] Yousefi, P., Hessari, B., Bruggeman, A. and Zarghami, M. (2023). Evaluating Water Resources Supply and Demand Using WEAP-MABIA (Case Study: Gadar River Basin). Iran-Water Resources Research, 19 (4), pp.80-94, DOI.
[34] Newell, E. and Maldonado, S. (2023). Acceleration of Morphodynamic Simulations Based on Local Trends in the Bed Evolution. Journal of Marine Science and Engineering, 11 (12), 2314, DOI.
[33] Budhathoki, S., Poudel, A. and Shrestha, H.L. (2023). Soil Erosion Analysis Using GIS and RS in Makawanpur District, Nepal. Journal of Forest and Natural Resource Management, 3 (1), pp.68-81, DOI.
[32] Zegait, R., Bouznad, I.E., Remini, B., Bengusmia, D., Ajia, F., Guastaldi, E., Lopane, N. and Petrone, D. (2024). Comprehensive model for sustainable water resource management in Southern Algeria: integrating remote sensing and WEAP model. Modeling Earth Systems and Environment, 10, pp.1027-1042, DOI.
[31] Mohammadi, M., Aliakbar, M. and Gholami, H. (2023). Spatial estimation of soil erosion using RUSLE model (a case study of Esfandak watershed in the east of Sistan and Baluchistan province). Proc. of the 17th National Conference on Watershed Management Sciences and Engineering of Iran (Watershed Management & Sustainable Food Security), Jiroft, Iran, February 28-29, 2023. (Link)
[30] Briones Ordóñez, O.V. (2021). Factores incidentes en los cambios espacio temporales de un canal fluvial en su planicie de inundación: el caso del río Portoviejo (Manabí-Ecuador). PhD Thesis, Universidad de Sevilla, Sevilla, p.128. (Link)
[29] Wibowo, A.A., Aditiya, M.I. and Damayanti, I.N. (2022). Pemanfaatan UAV untuk Identifikasi Penggunaan Lahan di Sekitar Pantai Sadranan Gunungkidul. Jurnal Indonesia Sosial Teknologi, 3 (9), pp.1036-1043, DOI.
[28] Saha, S., Sarkar, D. and Mondal, P. (2022). Assessing and mapping soil erosion risk zone in Ratlam District, central India. Regional Sustainability, 3 (4), pp.373-390, DOI.
[27] Aloui, S., Mazzoni, A., Elomri, A., Aouissi, J., Boufekane, A. and Zghibi, A. (2023). A review of Soil and Water Assessment Tool (SWAT) studies of Mediterranean catchments: Applications, feasibility, and future directions. Journal of Environmental Management, 326 (B), 116799, DOI.
[26] Kirthigaa, C. and Sakthivel, R. (2022). Estimation of soil erosion risk using RUSLE and debris flow susceptibility mapping using bivariate spatial models, Palakkad district, Kerala. International Research Journal of Modernization in Engineering Technology and Science4 (8), pp.1268-1127, DOI.
[25] Veličković, N., Todosijević, M. and Šulić, D. (2022). Erosion Map Reliability Using a Geographic Information System (GIS) and Erosion Potential Method (EPM): A Comparison of Mapping Methods, BELGRADE Peri-Urban Area, Serbia. Land, 11 (7), 1096, DOI.
[24] Dwivedi, C.S., Raza, R., Pandey, A.C. and Jhariya, D.C. (2022). Assessment of Soil Risk by RUSLE Model Using Remote Sensing and GIS in Pench River Basin, Madhya Pradesh, India. In: Singh, R. B., Kumar, M. and Tripathi, D. K. (Eds.), Remote Sensing and Geographic Information Systems for Policy Decision Support (pp.149-167). Springer Nature Singapore: Singapore, DOI.
[23] Costea, A., Bilasco, S., Irimus, I.-A., Rosca, S., Vescan, I., Fodorean, I. and Sestras, P. (2022). Evaluation of the Risk Induced by Soil Erosion on Land Use. Case Study: Guruslău Depression. Sustainability, 14 (2), 652, DOI.
[22] Lee, S.C. (2018). Application of geotube breakwater for muddy coastline protection in peninsular Malaysia. PhD Thesis, Faculty of Engineering, University of Malaya, Kuala Lumpur, Malaysia, p.186. (Link)
[21] Thapa, P. (2020). Spatial estimation of soil erosion using RUSLE modeling: a case study of Dolakha district, Nepal. Environmental Systems Research, 9 (1), 15, DOI.
[20] Malara, G., Zema, D.A., Arena, F., Bombino, G. and Zimbone, S.M. (2020). Coupling watershed - coast systems to study evolutionary trends: A review. Earth-Science Reviews, 201, 103040, DOI.
[19] Cantasano, N., Pellicone, G. and Ietto, F. (2020). The Coastal Sustainability Standard method: A case study in Calabria (Southern Italy). Ocean & Coastal Management, 183, 104962, DOI.
[18] Koirala, P., Thakuri, S., Joshi, S. and Chauhan, R. (2019). Estimation of soil erosion in Nepal using a RUSLE modeling and geospatial tool. Geosciences, 9 (4), 147, DOI.
[17] Agarwal, S., Patil, J.P., Goyal, V.C. and Singh, A. (2019). Assessment of water supply–demand using Water Evaluation and Planning (WEAP) model for Ur River watershed, Madhya Pradesh, India. Journal of The Institution of Engineers (India): Series A, 100 (1), pp.21-32, DOI.
[16] Tay, M.T.W. (2018). Numerical modelling approach for the management of seasonally influenced river channel entrance. Ph.D. Thesis, School of Civil Engineering and Surveying, University of Portsmouth, p.169. (Link)
[15] Lu, X., Wang, X., Yang, C., Liu, X. and Yang, Q. (2018). Changes and driving forces of the water-sediment relationship in the middle reaches of the Hanjiang River. Water, 10 (7), 887, DOI.
[14] Ezz-Aldeen, M., Rebwar, H., Ali, A. Al-Ansari, N. and Knutsson, S. (2018). Watershed sediment and its effect on storage capacity: case study of Dokan Dam reservoir. Water, 10 (7), 858, DOI.
[13] Ietto, F., Cantasano, N. and Pellicone, G. (2018). A New Coastal Erosion Risk Assessment Indicator: Application to the Calabria Tyrrhenian Littoral (Southern Italy). Environmental Processes, 5 (2), pp.201-223, DOI.
[12] Kim, M., You, S., Chon, J. and Lee, J. (2017). Sustainable land-use planning to improve the coastal resilience of the Social-Ecological Landscape. Sustainability, 9 (7), 1086, DOI.
[11] Sun, L., Yang, L., Hao, L., Fang, D., Jin, K. and Huang, X. (2017). Hydrological Effects of Vegetation Cover Degradation and Environmental Implications in a Semiarid Temperate Steppe, China. Sustainability, 9 (2), 281, DOI.
[10] Kim, J., Choi, J., Choi, C. and Hwang, C. (2017). Forecasting the Potential Effects of Climatic and Land-Use Changes on Shoreline Variation in Relation to Watershed Sediment Supply and Transport. Journal of Coastal Research, 33 (4), pp.874-888, DOI.
[09] Tarawneh, E.R. (2017). Robust hydrologic modelling for land and water management in data-scarce environments. Ph.D. Thesis, School of Engineering, University of Liverpool, Liverpool, UK, p.261. (Link)
[08] Khalkho, D. (2017). Distributed parameter modelling for the development of effective watershed management plan of Upper Mahanadi Basin. Ph.D. Thesis, Faculty of Agricultural Engineering, Indira Gandhi Agricultural University, Raipur, India, p.265. (Link)
[07] Tay, M.T.W., Mitchell, S.B., Chen, J. and Williams, J. (2016). Numerical modelling approach for the management of seasonal influenced river channel entrance. Ocean & Coastal Management, 130, pp.79-94, DOI.
[06] Rêgo, I.S., Aguiar, L.F.M.C. and Soares, M.O. (2016). Environmental zoning and coastal zone conservation: the case of a protected area in Northeastern Brazil. Journal of Integrated Coastal Zone Management, 16 (1), pp.35-43, DOI.
[05] Duong, T.M., Ranasinghe, R., Walstra, D. and Roelvink, D. (2016). Assessing climate change impacts on the stability of small tidal inlet systems: Why and how? Earth-Science Reviews, 154, pp.369-380, DOI.
[04] Balke, T. and Friess, D.A. (2016). Geomorphic knowledge for mangrove restoration: a pan-tropical categorization. Earth Surface Processes and Landforms, 41 (2), pp.231-239, DOI.
[03] Sang, N. and Ode Sang, Å. (2015). A Review on the State of the Art in Scenario Modelling for Environmental Management: Potential for Application in achieving the Swedish Environmental Objectives. Swedish Environmental Protection Agency, Naturvårdsverket: Stockholm, Sweden, pp.273. (Link)
[02] Hao, L., Sun, G., Liu, Y. and Qian, H. (2015). Integrated Modeling of Water Supply and Demand under Management Options and Climate Change Scenarios in Chifeng City, China. Journal of the American Water Resources Association (JAWRA), 51 (3), pp.655-671, DOI.
[01] dos Santos, K.G., Frigo, E.P., Eckert, C.T., Paschoal, T.S., de Carli, R.L. and Bastos, R.K. (2014). Viabilidade do cultivo de pinhão-manso na bacia do Rio Piquiri no município de Palotina-PR. Revista Brasileira de Energias Renováveis, 3 (2), pp.136-150, DOI.
[35] Yousefi, P., Hessari, B., Bruggeman, A. and Zarghami, M. (2023). Evaluating Water Resources Supply and Demand Using WEAP-MABIA (Case Study: Gadar River Basin). Iran-Water Resources Research, 19 (4), pp.80-94, DOI.
[34] Newell, E. and Maldonado, S. (2023). Acceleration of Morphodynamic Simulations Based on Local Trends in the Bed Evolution. Journal of Marine Science and Engineering, 11 (12), 2314, DOI.
[33] Budhathoki, S., Poudel, A. and Shrestha, H.L. (2023). Soil Erosion Analysis Using GIS and RS in Makawanpur District, Nepal. Journal of Forest and Natural Resource Management, 3 (1), pp.68-81, DOI.
[32] Zegait, R., Bouznad, I.E., Remini, B., Bengusmia, D., Ajia, F., Guastaldi, E., Lopane, N. and Petrone, D. (2024). Comprehensive model for sustainable water resource management in Southern Algeria: integrating remote sensing and WEAP model. Modeling Earth Systems and Environment, 10, pp.1027-1042, DOI.
[31] Mohammadi, M., Aliakbar, M. and Gholami, H. (2023). Spatial estimation of soil erosion using RUSLE model (a case study of Esfandak watershed in the east of Sistan and Baluchistan province). Proc. of the 17th National Conference on Watershed Management Sciences and Engineering of Iran (Watershed Management & Sustainable Food Security), Jiroft, Iran, February 28-29, 2023. (Link)
[30] Briones Ordóñez, O.V. (2021). Factores incidentes en los cambios espacio temporales de un canal fluvial en su planicie de inundación: el caso del río Portoviejo (Manabí-Ecuador). PhD Thesis, Universidad de Sevilla, Sevilla, p.128. (Link)
[29] Wibowo, A.A., Aditiya, M.I. and Damayanti, I.N. (2022). Pemanfaatan UAV untuk Identifikasi Penggunaan Lahan di Sekitar Pantai Sadranan Gunungkidul. Jurnal Indonesia Sosial Teknologi, 3 (9), pp.1036-1043, DOI.
[28] Saha, S., Sarkar, D. and Mondal, P. (2022). Assessing and mapping soil erosion risk zone in Ratlam District, central India. Regional Sustainability, 3 (4), pp.373-390, DOI.
[27] Aloui, S., Mazzoni, A., Elomri, A., Aouissi, J., Boufekane, A. and Zghibi, A. (2023). A review of Soil and Water Assessment Tool (SWAT) studies of Mediterranean catchments: Applications, feasibility, and future directions. Journal of Environmental Management, 326 (B), 116799, DOI.
[26] Kirthigaa, C. and Sakthivel, R. (2022). Estimation of soil erosion risk using RUSLE and debris flow susceptibility mapping using bivariate spatial models, Palakkad district, Kerala. International Research Journal of Modernization in Engineering Technology and Science4 (8), pp.1268-1127, DOI.
[25] Veličković, N., Todosijević, M. and Šulić, D. (2022). Erosion Map Reliability Using a Geographic Information System (GIS) and Erosion Potential Method (EPM): A Comparison of Mapping Methods, BELGRADE Peri-Urban Area, Serbia. Land, 11 (7), 1096, DOI.
[24] Dwivedi, C.S., Raza, R., Pandey, A.C. and Jhariya, D.C. (2022). Assessment of Soil Risk by RUSLE Model Using Remote Sensing and GIS in Pench River Basin, Madhya Pradesh, India. In: Singh, R. B., Kumar, M. and Tripathi, D. K. (Eds.), Remote Sensing and Geographic Information Systems for Policy Decision Support (pp.149-167). Springer Nature Singapore: Singapore, DOI.
[23] Costea, A., Bilasco, S., Irimus, I.-A., Rosca, S., Vescan, I., Fodorean, I. and Sestras, P. (2022). Evaluation of the Risk Induced by Soil Erosion on Land Use. Case Study: Guruslău Depression. Sustainability, 14 (2), 652, DOI.
[22] Lee, S.C. (2018). Application of geotube breakwater for muddy coastline protection in peninsular Malaysia. PhD Thesis, Faculty of Engineering, University of Malaya, Kuala Lumpur, Malaysia, p.186. (Link)
[21] Thapa, P. (2020). Spatial estimation of soil erosion using RUSLE modeling: a case study of Dolakha district, Nepal. Environmental Systems Research, 9 (1), 15, DOI.
[20] Malara, G., Zema, D.A., Arena, F., Bombino, G. and Zimbone, S.M. (2020). Coupling watershed - coast systems to study evolutionary trends: A review. Earth-Science Reviews, 201, 103040, DOI.
[19] Cantasano, N., Pellicone, G. and Ietto, F. (2020). The Coastal Sustainability Standard method: A case study in Calabria (Southern Italy). Ocean & Coastal Management, 183, 104962, DOI.
[18] Koirala, P., Thakuri, S., Joshi, S. and Chauhan, R. (2019). Estimation of soil erosion in Nepal using a RUSLE modeling and geospatial tool. Geosciences, 9 (4), 147, DOI.
[17] Agarwal, S., Patil, J.P., Goyal, V.C. and Singh, A. (2019). Assessment of water supply–demand using Water Evaluation and Planning (WEAP) model for Ur River watershed, Madhya Pradesh, India. Journal of The Institution of Engineers (India): Series A, 100 (1), pp.21-32, DOI.
[16] Tay, M.T.W. (2018). Numerical modelling approach for the management of seasonally influenced river channel entrance. Ph.D. Thesis, School of Civil Engineering and Surveying, University of Portsmouth, p.169. (Link)
[15] Lu, X., Wang, X., Yang, C., Liu, X. and Yang, Q. (2018). Changes and driving forces of the water-sediment relationship in the middle reaches of the Hanjiang River. Water, 10 (7), 887, DOI.
[14] Ezz-Aldeen, M., Rebwar, H., Ali, A. Al-Ansari, N. and Knutsson, S. (2018). Watershed sediment and its effect on storage capacity: case study of Dokan Dam reservoir. Water, 10 (7), 858, DOI.
[13] Ietto, F., Cantasano, N. and Pellicone, G. (2018). A New Coastal Erosion Risk Assessment Indicator: Application to the Calabria Tyrrhenian Littoral (Southern Italy). Environmental Processes, 5 (2), pp.201-223, DOI.
[12] Kim, M., You, S., Chon, J. and Lee, J. (2017). Sustainable land-use planning to improve the coastal resilience of the Social-Ecological Landscape. Sustainability, 9 (7), 1086, DOI.
[11] Sun, L., Yang, L., Hao, L., Fang, D., Jin, K. and Huang, X. (2017). Hydrological Effects of Vegetation Cover Degradation and Environmental Implications in a Semiarid Temperate Steppe, China. Sustainability, 9 (2), 281, DOI.
[10] Kim, J., Choi, J., Choi, C. and Hwang, C. (2017). Forecasting the Potential Effects of Climatic and Land-Use Changes on Shoreline Variation in Relation to Watershed Sediment Supply and Transport. Journal of Coastal Research, 33 (4), pp.874-888, DOI.
[09] Tarawneh, E.R. (2017). Robust hydrologic modelling for land and water management in data-scarce environments. Ph.D. Thesis, School of Engineering, University of Liverpool, Liverpool, UK, p.261. (Link)
[08] Khalkho, D. (2017). Distributed parameter modelling for the development of effective watershed management plan of Upper Mahanadi Basin. Ph.D. Thesis, Faculty of Agricultural Engineering, Indira Gandhi Agricultural University, Raipur, India, p.265. (Link)
[07] Tay, M.T.W., Mitchell, S.B., Chen, J. and Williams, J. (2016). Numerical modelling approach for the management of seasonal influenced river channel entrance. Ocean & Coastal Management, 130, pp.79-94, DOI.
[06] Rêgo, I.S., Aguiar, L.F.M.C. and Soares, M.O. (2016). Environmental zoning and coastal zone conservation: the case of a protected area in Northeastern Brazil. Journal of Integrated Coastal Zone Management, 16 (1), pp.35-43, DOI.
[05] Duong, T.M., Ranasinghe, R., Walstra, D. and Roelvink, D. (2016). Assessing climate change impacts on the stability of small tidal inlet systems: Why and how? Earth-Science Reviews, 154, pp.369-380, DOI.
[04] Balke, T. and Friess, D.A. (2016). Geomorphic knowledge for mangrove restoration: a pan-tropical categorization. Earth Surface Processes and Landforms, 41 (2), pp.231-239, DOI.
[03] Sang, N. and Ode Sang, Å. (2015). A Review on the State of the Art in Scenario Modelling for Environmental Management: Potential for Application in achieving the Swedish Environmental Objectives. Swedish Environmental Protection Agency, Naturvårdsverket: Stockholm, Sweden, pp.273. (Link)
[02] Hao, L., Sun, G., Liu, Y. and Qian, H. (2015). Integrated Modeling of Water Supply and Demand under Management Options and Climate Change Scenarios in Chifeng City, China. Journal of the American Water Resources Association (JAWRA), 51 (3), pp.655-671, DOI.
[01] dos Santos, K.G., Frigo, E.P., Eckert, C.T., Paschoal, T.S., de Carli, R.L. and Bastos, R.K. (2014). Viabilidade do cultivo de pinhão-manso na bacia do Rio Piquiri no município de Palotina-PR. Revista Brasileira de Energias Renováveis, 3 (2), pp.136-150, DOI.
Author's works that reference this work
[J.22] Samaras, A.G. (2023). Towards integrated modelling of Watershed-Coast System morphodynamics in a changing climate: A critical review and the path forward. Science of the Total Environment, 882, 163625, DOI.
[J.16] Bonaldo, D., Antonioli, F, Archetti, R., ... ..., Samaras, A.G., Scicchitano, G. and Carniel, S. (2019). Integrating multidisciplinary instruments for assessing coastal vulnerability to erosion and sea level rise: lessons and challenges from the Adriatic Sea, Italy. Journal of Coastal Conservation, 23 (1), pp.19-37, DOI.
[J.08] Samaras, A.G. and Koutitas, C.G. (2014). Comparison of three longshore sediment transport rate formulae in shoreline evolution modeling near stream mouths. Ocean Engineering, 92, pp.255-266, DOI.
[J.05] Samaras, A.G. and Koutitas, C.G. (2014). Modeling the impact of climate change on sediment transport and morphology in coupled watershed-coast systems: A case study using an integrated approach. International Journal of Sediment Research, 29 (3), pp.304-315, DOI.
[J.22] Samaras, A.G. (2023). Towards integrated modelling of Watershed-Coast System morphodynamics in a changing climate: A critical review and the path forward. Science of the Total Environment, 882, 163625, DOI.
[J.16] Bonaldo, D., Antonioli, F, Archetti, R., ... ..., Samaras, A.G., Scicchitano, G. and Carniel, S. (2019). Integrating multidisciplinary instruments for assessing coastal vulnerability to erosion and sea level rise: lessons and challenges from the Adriatic Sea, Italy. Journal of Coastal Conservation, 23 (1), pp.19-37, DOI.
[J.08] Samaras, A.G. and Koutitas, C.G. (2014). Comparison of three longshore sediment transport rate formulae in shoreline evolution modeling near stream mouths. Ocean Engineering, 92, pp.255-266, DOI.
[J.05] Samaras, A.G. and Koutitas, C.G. (2014). Modeling the impact of climate change on sediment transport and morphology in coupled watershed-coast systems: A case study using an integrated approach. International Journal of Sediment Research, 29 (3), pp.304-315, DOI.
