The study analyzed the present land covers that have taken place in the catchment and its effect on the hydrological responses of the catchment. The Soil and Water Assessment Tool (SWAT2009) model was used to investigate the impact of land cover change on hydrological responses of the study area. Sensitivity analysis result shown SCN curve number (CN), Soil Evaporation Compensation Factor (ESCO), Soil Depth (m) (Sol_Z), Threshold water depth in the shallow aquifer for flow (GWQMN), Base flow alpha factor (Alpha_Bf), (REVAPMN) and Soil Available Water Capacity (SOL_AWC) were found the most influential parameters affecting flow and USLE equation support practice (USLE_P), Linear parameter for maximum sediment yield (SPCON), Exponential parameter for maximum sediment yield in channel sediment routing (SPEXP), Cropping practice factor (USLE_C), channel cover factor (CH_COV1), channel erodiability factor (CH_ERODMO) were the most sensitive parameters affecting sediment yield of the catchment respectively. Scenarios were developed to analyze the impact of land use/cover changes to the hydrological regime. Base scenario: current land use practices has cultivated land, grass land, shrub and bush land, forest land, built up area and water body, scenario1: shrub and bush lands completely changed to forest land and scenario2: Grass land changed to cultivated land. The result for different land use scenarios show that: conversion of shrub land to forest area reduced surface runoff, reduced the amount of sediment transported out and increase base flow but conversion of grass land in to cultivated land areas increased surface runoff during wet seasons and reduced base flow during the dry seasons and also as the peak flow increases it is suspected of carrying more sediment.
Published in | Hydrology (Volume 9, Issue 1) |
DOI | 10.11648/j.hyd.20210901.11 |
Page(s) | 1-12 |
Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
Copyright |
Copyright © The Author(s), 2021. Published by Science Publishing Group |
SWAT, LULCC, SUFI-2, Ribb, Stream Flow, Sediment Yield, Hydrological Modeling, Water Balance, Model Calibration, Validation
[1] | Verburg PH, Kok K, Pontius RG, Veldkamp A. Modeling land-use and land-cover change. Land-use and land-cover change: Springer; 2006. p. 117-35. |
[2] | Haghighi AT, Darabi H, Shahedi K, Solaimani K, Kløve B. A scenario-based approach for assessing the hydrological impacts of land use and climate change in the Marboreh Watershed, Iran. Environmental Modeling & Assessment. 2020; 25 (1): 41-57. |
[3] | Turner BL, Meyer WB. Global land-use and land-cover change: an overview. Changes in land use and land cover: a global perspective. 1994; 4 (3). |
[4] | Schäfer MP, Dietrich O, Mbilinyi B. Streamflow and lake water level changes and their attributed causes in Eastern and Southern Africa: state of the art review. International Journal of Water Resources Development. 2016; 32 (6): 853-80. |
[5] | Genovese E. A methodological approach to land use-based flood damage assessment in urban areas: Prague case study. Technical EUR Reports, EUR. 2006; 22497. |
[6] | Rayner S, Lach D, Ingram H. Weather forecasts are for wimps: why water resource managers do not use climate forecasts. Climatic change. 2005; 69 (2-3): 197-227. |
[7] | Woldesenbet TA, Diekkrüger B. Assessing Impacts of Land Use/Cover and Climate Changes on Hydrological Regime in the Headwater Region of the Upper Blue Nile River Basin, Ethiopia: Universität Leipzig; 2017. |
[8] | Boongaling CGK, Faustino-Eslava DV, Lansigan FP. Modeling land use change impacts on hydrology and the use of landscape metrics as tools for watershed management: The case of an ungauged catchment in the Philippines. Land use policy. 2018; 72: 116-28. |
[9] | REDA KW. HYDROLOGICAL RESPONSE TO LAND USE LAND COVER DYNAMICS AND SUB WATERSHED PRIORITIZATION FOR LAND AND WATER MANAGEMENT. 2015. |
[10] | Wang R. Modeling hydrologic and water quality responses to changing climate and land use/cover in the Wolf Bay Watershed, South Alabama 2010. |
[11] | Yasir S, Crosato A, Mohamed YA, Abdalla SH, Wright NG. Sediment balances in the Blue Nile River basin. International Journal of Sediment Research. 2014; 29 (3): 316-28. |
[12] | Cunderlik JM, Burn DH. Non-stationary pooled flood frequency analysis. Journal of Hydrology. 2003; 276 (1-4): 210-23. |
[13] | Gassman PW, Sadeghi AM, Srinivasan R. Applications of the SWAT model special section: overview and insights. Journal of Environmental Quality. 2014; 43 (1): 1-8. |
[14] | Liu Y, Yang W, Wang X. Development of a SWAT extension module to simulate riparian wetland hydrologic processes at a watershed scale. Hydrological Processes: An International Journal. 2008; 22 (16): 2901-15. |
[15] | Welde K, Gebremariam B. Effect of land use land cover dynamics on hydrological response of watershed: Case study of Tekeze Dam watershed, northern Ethiopia. International Soil and Water Conservation Research. 2017; 5 (1): 1-16. |
[16] | Gevaert V, Van Griensven A, Holvoet K, Seuntjens P, Vanrolleghem PA. SWAT developments and recommendations for modelling agricultural pesticide mitigation measures in river basins. Hydrological sciences journal. 2008; 53 (5): 1075-89. |
[17] | Chaplot V. Impact of DEM mesh size and soil map scale on SWAT runoff, sediment, and NO3–N loads predictions. Journal of hydrology. 2005; 312 (1-4): 207-22. |
[18] | Arnold JG, Fohrer N. SWAT2000: current capabilities and research opportunities in applied watershed modelling. Hydrological Processes: An International Journal. 2005; 19 (3): 563-72. |
[19] | Getachew HE, Melesse AM. The impact of land use change on the hydrology of the Angereb Watershed, Ethiopia. International Journal of Water Sciences. 2012; 1 (4). |
[20] | Di Luzio M, Srinivasan R, Arnold JG. Integration of Watershed Tools and Swat Model into Basins 1. JAWRA Journal of the American Water Resources Association. 2002; 38 (4): 1127-41. |
[21] | Tejaswini V, Sathian K. Calibration and validation of swat model for Kunthipuzha basin using SUFI-2 algorithm. International Journal of Current Microbiology and Applied Sciences. 2018; 7 (1): 2162-72. |
[22] | Abbaspour KC. Swat-cup 2012. SWAT Calibration and uncertainty program—a user manual. 2013. |
[23] | Arnold JG, Moriasi DN, Gassman PW, Abbaspour KC, White MJ, Srinivasan R, et al. SWAT: Model use, calibration, and validation. Transactions of the ASABE. 2012; 55 (4): 1491-508. |
[24] | Zhang X, Beeson P, Link R, Manowitz D, Izaurralde RC, Sadeghi A, et al. Efficient multi-objective calibration of a computationally intensive hydrologic model with parallel computing software in Python. Environmental modelling & software. 2013; 46: 208-18. |
[25] | Baker TJ, Miller SN. Using the Soil and Water Assessment Tool (SWAT) to assess land use impact on water resources in an East African watershed. Journal of hydrology. 2013; 486: 100-11. |
[26] | Wang J, Ishidaira H, Sun W, Ning S. Development and interpretation of new sediment rating curve considering the effect of vegetation cover for Asian basins. The Scientific World Journal. 2013; 2013. |
[27] | Luo Y, Zhang M. Management-oriented sensitivity analysis for pesticide transport in watershed-scale water quality modeling using SWAT. Environmental Pollution. 2009; 157 (12): 3370-8. |
[28] | Olivera F, Valenzuela M, Srinivasan R, Choi J, Cho H, Koka S, et al. ARCGIS-SWAT: A GEODATA MODEL AND GIS INTERFACE FOR SWAT 1. JAWRA Journal of the American Water Resources Association. 2006; 42 (2): 295-309. |
[29] | Hrachowitz M, Soulsby C, Tetzlaff D, Malcolm I. Sensitivity of mean transit time estimates to model conditioning and data availability. Hydrological Processes. 2011; 25 (6): 980-90. |
[30] | Marino S, Hogue IB, Ray CJ, Kirschner DE. A methodology for performing global uncertainty and sensitivity analysis in systems biology. Journal of theoretical biology. 2008; 254 (1): 178-96. |
[31] | Zhan C-S, Song X-M, Xia J, Tong C. An efficient integrated approach for global sensitivity analysis of hydrological model parameters. Environmental Modelling & Software. 2013; 41: 39-52. |
[32] | Setegn SG, Srinivasan R, Melesse AM, Dargahi B. SWAT model application and prediction uncertainty analysis in the Lake Tana Basin, Ethiopia. Hydrological Processes: An International Journal. 2010; 24 (3): 357-67. |
[33] | Einheuser MD, Nejadhashemi AP, Sowa SP, Wang L, Hamaamin YA, Woznicki SA. Modeling the effects of conservation practices on stream health. Science of the total environment. 2012; 435: 380-91. |
[34] | Song X, Zhang J, Zhan C, Xuan Y, Ye M, Xu C. Global sensitivity analysis in hydrological modeling: Review of concepts, methods, theoretical framework, and applications. Journal of hydrology. 2015; 523: 739-57. |
[35] | Saha PP, Zeleke K, Hafeez M. Streamflow modeling in a fluctuant climate using SWAT: Yass River catchment in south eastern Australia. Environmental earth sciences. 2014; 71 (12): 5241-54. |
[36] | Roy K. On some aspects of validation of predictive quantitative structure–activity relationship models. Expert Opinion on Drug Discovery. 2007; 2 (12): 1567-77. |
APA Style
Solomon Bogale. (2021). Hydrological Response to Land Use and Land Cover Changes of Ribb Watershed, Ethiopia. Hydrology, 9(1), 1-12. https://doi.org/10.11648/j.hyd.20210901.11
ACS Style
Solomon Bogale. Hydrological Response to Land Use and Land Cover Changes of Ribb Watershed, Ethiopia. Hydrology. 2021, 9(1), 1-12. doi: 10.11648/j.hyd.20210901.11
AMA Style
Solomon Bogale. Hydrological Response to Land Use and Land Cover Changes of Ribb Watershed, Ethiopia. Hydrology. 2021;9(1):1-12. doi: 10.11648/j.hyd.20210901.11
@article{10.11648/j.hyd.20210901.11, author = {Solomon Bogale}, title = {Hydrological Response to Land Use and Land Cover Changes of Ribb Watershed, Ethiopia}, journal = {Hydrology}, volume = {9}, number = {1}, pages = {1-12}, doi = {10.11648/j.hyd.20210901.11}, url = {https://doi.org/10.11648/j.hyd.20210901.11}, eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.hyd.20210901.11}, abstract = {The study analyzed the present land covers that have taken place in the catchment and its effect on the hydrological responses of the catchment. The Soil and Water Assessment Tool (SWAT2009) model was used to investigate the impact of land cover change on hydrological responses of the study area. Sensitivity analysis result shown SCN curve number (CN), Soil Evaporation Compensation Factor (ESCO), Soil Depth (m) (Sol_Z), Threshold water depth in the shallow aquifer for flow (GWQMN), Base flow alpha factor (Alpha_Bf), (REVAPMN) and Soil Available Water Capacity (SOL_AWC) were found the most influential parameters affecting flow and USLE equation support practice (USLE_P), Linear parameter for maximum sediment yield (SPCON), Exponential parameter for maximum sediment yield in channel sediment routing (SPEXP), Cropping practice factor (USLE_C), channel cover factor (CH_COV1), channel erodiability factor (CH_ERODMO) were the most sensitive parameters affecting sediment yield of the catchment respectively. Scenarios were developed to analyze the impact of land use/cover changes to the hydrological regime. Base scenario: current land use practices has cultivated land, grass land, shrub and bush land, forest land, built up area and water body, scenario1: shrub and bush lands completely changed to forest land and scenario2: Grass land changed to cultivated land. The result for different land use scenarios show that: conversion of shrub land to forest area reduced surface runoff, reduced the amount of sediment transported out and increase base flow but conversion of grass land in to cultivated land areas increased surface runoff during wet seasons and reduced base flow during the dry seasons and also as the peak flow increases it is suspected of carrying more sediment.}, year = {2021} }
TY - JOUR T1 - Hydrological Response to Land Use and Land Cover Changes of Ribb Watershed, Ethiopia AU - Solomon Bogale Y1 - 2021/03/12 PY - 2021 N1 - https://doi.org/10.11648/j.hyd.20210901.11 DO - 10.11648/j.hyd.20210901.11 T2 - Hydrology JF - Hydrology JO - Hydrology SP - 1 EP - 12 PB - Science Publishing Group SN - 2330-7617 UR - https://doi.org/10.11648/j.hyd.20210901.11 AB - The study analyzed the present land covers that have taken place in the catchment and its effect on the hydrological responses of the catchment. The Soil and Water Assessment Tool (SWAT2009) model was used to investigate the impact of land cover change on hydrological responses of the study area. Sensitivity analysis result shown SCN curve number (CN), Soil Evaporation Compensation Factor (ESCO), Soil Depth (m) (Sol_Z), Threshold water depth in the shallow aquifer for flow (GWQMN), Base flow alpha factor (Alpha_Bf), (REVAPMN) and Soil Available Water Capacity (SOL_AWC) were found the most influential parameters affecting flow and USLE equation support practice (USLE_P), Linear parameter for maximum sediment yield (SPCON), Exponential parameter for maximum sediment yield in channel sediment routing (SPEXP), Cropping practice factor (USLE_C), channel cover factor (CH_COV1), channel erodiability factor (CH_ERODMO) were the most sensitive parameters affecting sediment yield of the catchment respectively. Scenarios were developed to analyze the impact of land use/cover changes to the hydrological regime. Base scenario: current land use practices has cultivated land, grass land, shrub and bush land, forest land, built up area and water body, scenario1: shrub and bush lands completely changed to forest land and scenario2: Grass land changed to cultivated land. The result for different land use scenarios show that: conversion of shrub land to forest area reduced surface runoff, reduced the amount of sediment transported out and increase base flow but conversion of grass land in to cultivated land areas increased surface runoff during wet seasons and reduced base flow during the dry seasons and also as the peak flow increases it is suspected of carrying more sediment. VL - 9 IS - 1 ER -