The relationship between land use change and flood flows, a case study in a transboundary watershed
DOI:
https://doi.org/10.31637/epsir-2024-1385Keywords:
Flood flows, hydrological model, HMS, land use change scenarios, TerrSet, transboundary basin, rain – runoff, ZarumillaAbstract
Introduction: Introduction: The HEC-HMS model was applied in the transboundary basin of the Zarumilla River (Ecuador – Peru) to simulate the flows that would occur during maximum precipitation events. Methodology: The model integrated the precipitation determined by intensity equations, the infiltration defined by the curve number, the rain - runoff transformation by unit hydrographs, the hydrological routing calculated by applying Muskingum - Cunge and was calibrated by a frequency analysis using the hydrometric information available. Results: The model was executed satisfactorily and the resulting maximum flows at the outlet of the basin varied between 1.100 m3/s and 1.670 m3/s depending on the return period. A land use scenario for the year 2027 was generated using information from 2014 and 2017 that was evaluated with the model. Discussion: The transitions with the largest area of influence observed were pasture to crop, forest to crop and crop to pasture. Other classifications do not present a significant change. Conclusions: The flows calculated with the coverage of the generated scenario are lower than those calculated for 2017, due to the expansion of crops, which are mostly fruit crops. Despite this, the variation in flow rates was not very significant.
Downloads
References
Ahmad, M. (2009). Estimation of Clark’s instantaneous unit hydrograph parameters and development of direct surface runoff hydrograph. Journal of Water Resources Management, 2417–2435. DOI:10.1007/s11269-008-9388-8 DOI: https://doi.org/10.1007/s11269-008-9388-8
Alcamo, J. (2007). Future long-term changes in global water resources driven by socioeconomic. Hydrol Sci J J Des Sciences Hydrol, 247–275. DOI:10.1623/hysj.52.2.247 DOI: https://doi.org/10.1623/hysj.52.2.247
Cadavid, A., & Rong, Y. (2016). Land cover change during a period of extensive landscape restoration in Ningxia Hui Autonomous Region, China. Science of The Total Environment, 669–679. https://doi.org/10.1016/j.scitotenv.2017.04.124 DOI: https://doi.org/10.1016/j.scitotenv.2017.04.124
Chow, V. T., Maidment, D., & Mays, L. (1994). Hidrología Aplicada. McGraw-Hill.
DeFries, R. (2010). Deforestation driven by urban population growth and agricultural trade in the twenty-first century. Natural GeoScience, 178-181. DOI: 10.1038/NGEO756 DOI: https://doi.org/10.1038/ngeo756
Eastman, J. (2016). TerrSet: Geospatial Monitoring and Modeling System Manual. Worcester: Clark Labs.
Halwatura, D. (2013). Application of the HEC-HMS model for runoff simulation in a tropical catchment. Environmental Modelling & Software, 155-162. https://doi.org/10.1016/j.envsoft.2013.03.006 DOI: https://doi.org/10.1016/j.envsoft.2013.03.006
INAMHI. (2011). Implementación del Sistema de Alerta Temprana en la Cuenca del río Zarumilla. Instituto nacional de Hidrología y Meteorología.
INHAMI. (2019). Determinación de ecuaciones para el cálculo de intensidades máximas de precipitación. Instituto Nacional de Meteorología e Hidrología.
Kurowska, K., Kryszk, H., Marks-Bielska, R., Mika, M., & Leń, P. (2020) Conversion of agricultural and forest land to other purposes in the context of land protection: Evidence from Polish experience, Land Use Policy, (95), 104614. https://doi.org/10.1016/j.landusepol.2020.104614. DOI: https://doi.org/10.1016/j.landusepol.2020.104614
Laouacheria, F., & Mansouri, R. (2015). Comparison of WBNM and HEC-HMS for Runoff Hydrograph Prediction in a Small Urban Catchment. Water Resour Manage, 2485–2501. DOI: 10.1007/s11269-015-0953-7 DOI: https://doi.org/10.1007/s11269-015-0953-7
Leimer, S. Pohlert T, Pfahl S, & Wilcke W. (2011). Towards a new generation of high-resolution meteorological input data for small scale hydrological modeling. Journal of Hydrology, 317-332. https://doi.org/10.1016/j.jhydrol.2011.03.026 DOI: https://doi.org/10.1016/j.jhydrol.2011.03.026
MAGAP. (2017). Geovisualizador de mapas. Geoportal del agro ecuatoriano. http://geoportal.agricultura.gob.ec
Mera-Parra, C., Oñate-Valdivieso, F., Massa-Sánchez, P., & Ochoa-Cueva, P. (2021) Establishment of the baseline for the IWRM in the ecuadorian andean basins: Land use change, water recharge, meteorological forecast and hydrological modeling. Land 10(5), 513. https://doi.org/10.3390/land10050513 DOI: https://doi.org/10.3390/land10050513
MINAM. (22 de 02 de 2017). Mapa de cobertura vegetal. Ministerio del Ambiente de Perú. https://bit.ly/4eZqix8
USGS. (2019). Earth Explorer. Shuttle Radar Topography Mission. https://earthexplorer.usgs.gov
Oleyiblo, J., & Li, Z.-J. (2010). Application of HEC-HMS for flood forecasting in Misai and Wan’an catchments in China. Water Science and Engineering, 14-22. https://doi.org/10.3882/j.issn.1674-2370.2010.01.002
Oñate-Valdivieso, F., & Bosque-Sendra, J. (2010). Application of GIS and remote sensing techniques in generation of land use scenarios for hydrological modeling. Journal of Hydrology, 256–263. https://doi.org/10.1016/j.jhydrol.2010.10.033 DOI: https://doi.org/10.1016/j.jhydrol.2010.10.033
Oñate-Valdivieso F, Oñate-Paladines A., & Díaz R (2024), Soil degradation in andean watersheds: a case study using remote sensing. Front. Earth Sci. 12:1325189. https://doi.org/10.3389/feart.2024.1325189 DOI: https://doi.org/10.3389/feart.2024.1325189
Oñate-Valdivieso, F., Bosque-Sendra, J., Sastre-Merlin, A., & Ponce, V.M. (2016) Calibration, validation and evaluation of a lumped hydrologic model in a mountain area in Southern Ecuador Agrociencia, 50(8), pp. 945–963.
Oñate-Valdivieso, F.; Oñate-Paladines, A., & Collaguazo, M. (2022) Spatiotemporal Dynamics of Soil Impermeability and Its Impact on the Hydrology of An Urban Basin. Land 11, 250. https://doi.org/10.3390/land11020250 DOI: https://doi.org/10.3390/land11020250
SENAGUA y ANA. (2013). Plan Binacional de Desarrollo de la Región Fronteriza. Ministerio del Interior del Ecuador.
Silveira, J.G.d., Oliveira Neto, S.N.d., Canto, A.C.B.d., Leite, F.F.G.D., Cordeiro, F.R., Assad, L.T., Silva, G.C.C., Marques, R.d.O., Dalarme, M.S.L., & Ferreira, I.G.M. (2022) Land Use, Land Cover Change and Sustainable Intensification of Agriculture and Livestock in the Amazon and the Atlantic Forest in Brazil. Sustainability 2022, 2563. https://doi.org/10.3390/su14052563 DOI: https://doi.org/10.3390/su14052563
Sugianto, S., Deli, A., Miswar, E., Rusdi, M., & Irham, M. (2022) The Effect of Land Use and Land Cover Changes on Flood Occurrence in Teunom Watershed, Aceh Jaya. Land, (11), 1271. https://doi.org/10.3390/land11081271 DOI: https://doi.org/10.3390/land11081271
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2024 Fernando Oñate-Valdivieso, Arianna Oñate-Paladines
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Authors who publish with this journal agree to the following terms:- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under Creative Commons Non Commercial, No Derivatives Attribution 4.0. International (CC BY-NC-ND 4.0.), that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).