Assessing impacts of land use/land cover changes on the hydrology of Upper Gilgel Abbay watershed using the SWAT model

Abuhay, Wassie; Gashaw, Temesgen; Tsegaye, Lewoye

doi:10.1016/j.jafr.2023.100535

Cited by 16 publications

(7 citation statements)

References 64 publications

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“…Our study can make up for this defect and help in assessing past or future aquatic ecosystems by using various watershed environmental data. Many studies have predicted and assessed the impacts of watershed hydrology and water quality on environmental change using SWAT [59][60][61][62][63][64][65]. Also, [66] evaluated the aquatic ecosystem health index using stream water temperature and quality by applying the random forest technique.…”

Section: Discussionmentioning

confidence: 99%

Design of Ecological Flow (E-Flow) Considering Watershed Status Using Watershed and Physical Habitat Models

Kim,

Lee,

Woo

et al. 2023

Water

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Ecological flow (E-flow) determination is an essential component of stream management and the preservation of aquatic ecosystems within a watershed. E-flow should be determined while considering the overall status of the watershed, including the hydrological cycle, hydraulic facility operation, and stream ecology. The purpose of this study is to determine E-flow by considering watershed status through coupled modeling with SWAT and PHABSIM. SWAT was calibrated to ensure reliability when coupling the two models, using observed data that included streamflow and dam inflows. The calibration result of SWAT showed that the averages of R2, NSE, and RMSE were 0.62, 0.57, and 1.68 mm/day, respectively, showing satisfactory results. Flow duration analysis using the SWAT results was performed to apply to discharge boundary conditions for PHABSIM. The averages of Q185 (mid-range flows) and Q275 (dry conditions) were suitable to simulate fish habitat. The habitat suitability index derived through a fish survey was applied to PHABSIM to estimate E-flow. E-flow was estimated at 20.0 m3/s using the coupled model and compared with the notified instream flow by the Ministry of Environment. The results demonstrate a high level of applicability for the coupled modeling approach between the watershed and physical habitat simulation models. Our attempt at coupled modeling can be utilized to determine E-flow considering the watershed status.

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Section: Discussionmentioning

confidence: 99%

Design of Ecological Flow (E-Flow) Considering Watershed Status Using Watershed and Physical Habitat Models

Kim,

Lee,

Woo

et al. 2023

Water

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“…The distribution of the changes that occurred for the specified period is also presented in the matrix tables. A change matrix plots LULC changes from 2001 to 2020, assessing overall changes in LULC classes [ 4 , 9 ]. The examination of alterations in LULC from 2001 to 2020 was also demonstrated through the measurement of variation, the amount of change, and the distribution of maps that highlight the spatial and temporal differences.…”

Section: Methodsmentioning

confidence: 99%

“…LULC change is exacerbated by human activities such as population growth, urbanization, and deforestation [8]. Several studies have identifed these changes as a current challenge to the ecohydrological system of the environment [8][9][10][11][12].…”

Section: Introductionmentioning

confidence: 99%

Spatio-Temporal Change of Land Use/Land Cover and Vegetation Using Multi-MODIS Satellite Data, Western Ethiopia

Seifu,

Woldesenbet,

Alemayehu

et al. 2023

The Scientific World Journal

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Land use and land cover (LULC) change and variability are some of the challenges to present-day water resource management. The purpose of this study was to determine LULC and Normalized Difference Vegetation Index (NDVI) fluctuations in western Ethiopia during the last 20 years. The first part of the study used MODIS LULC data for the change analysis, change detection, and spatial and temporal coverage in the study region. In the second part, the study analyzes the NDVI change and its spatial and temporal coverage. In this study, The Moderate Resolution Imaging Spectroradiometer (MODIS) satellite data were applied to determine LULC and NDVI changes over four different periods. Evergreen broadleaf forests, deciduous broadleaf forests, mixed forests, woody savannas, savannas, grasslands, permanent wetlands, croplands, urban and built-up lands, and water bodies are the LULC in the period of analysis. The overall classification accuracy for the classified image from 2001 to 2020 was 85.4% and the overall kappa statistic was 81.2%. The results indicate a substantial increase in woody savannas, deciduous broadleaf, grasslands, permanent wetlands, and mixed forest areas by 119.6%, 57.7% 45.2%, 37%, and 21.3%, respectively, followed by reductions in croplands, water bodies, savannas, and evergreen broadleaf forest by 90.1%, 19.8%, 13.2%, and 4.8%, respectively, for the catchment between 2001 and 2020. The result also showed that the area’s vegetation cover increased by 64% from 2001 to 2022. This study could provide valuable information for water resource and environmental management as well as policy and decision-making.

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“…Controlling erosion and sedimentation requires participatory farming communities by cultivating the land according to the local geological conditions of the land [22]. Handling erosion and sedimentation is more effective using a combination of vegetation methods and check dam construction methods [23], [24].…”

Section: Introductionmentioning

confidence: 99%

Analysis of Wanggu River Sedimentation Due to Land Cover Change using ArcSWAT and its Alternative Control

Kwin Hariyanto,

Sisinggih,

Andawayanti

2024

Civense

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The downstream Wanggu watershed is located in Kendari City, the capital of Southeast Sulawesi Province, with an area of 329.59 km2. So it is very important to arrange the right space. In this research, an analysis of the impact of changes in land cover on sedimentation levels will be carried out, as a basis for considering space utilization so as not to exceed the carrying capacity of the watershed. The analysis method uses the Arcswat application, and land cover changes using comparative data for 2001, 2006, 2009, 2014, and 2020. One of the obstacles in land cover classification is the presence of clouds that cover part of the image. In this research, Google Earth Engine (GEE) is used which will automatically process historical data so that areas covered by clouds are replaced with images that are clear of clouds. The research results show that agricultural land cover has the greatest influence, and overall the watershed shows accumulated sedimentation of 2,515,409.90 tons or a rate of 76.40 tons/ha for land cover in 2001 and sedimentation of 2,808,683.45 tons or rate 85.31 tons/ha. for land cover in 2020.

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Assessing impacts of land use/land cover changes on the hydrology of Upper Gilgel Abbay watershed using the SWAT model

Cited by 16 publications

References 64 publications

Design of Ecological Flow (E-Flow) Considering Watershed Status Using Watershed and Physical Habitat Models

Design of Ecological Flow (E-Flow) Considering Watershed Status Using Watershed and Physical Habitat Models

Spatio-Temporal Change of Land Use/Land Cover and Vegetation Using Multi-MODIS Satellite Data, Western Ethiopia

Analysis of Wanggu River Sedimentation Due to Land Cover Change using ArcSWAT and its Alternative Control

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