Effect of land use/land cover changes on surface water availability in the Omo-Gibe basin, Ethiopia

Chaemiso, Shiferaw E.; Kartha, Suresh A.; Pingale, Santosh Murlidhar

doi:10.1080/02626667.2021.1963442

Cited by 21 publications

(12 citation statements)

References 40 publications

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“…The R 2 , ENS, and PBIAS values for monthly flow rate and sediment yield imply the model predictive capacity, and it is appropriate to estimate the HCs and SED owing to LULC changes in the Ajora-Woybo watershed. Similar model efficiency perfections were also recorded during the calibration and validation periods by Chaemiso et al (2021) and Choto and Fetene (2019). Following that, the information can be used…”

Section: Calibration and Validationmentioning

confidence: 65%

“…The Ajora-Woybo watershed was divided into low, moderate, high, very high, severe, and very severe risk areas, with 0-10 t ha −1 y −1 , 10-20 t ha −1 y −1 , 20-30 t ha −1 y −1 , 30-50 t ha −1 y −1 , 50-75 t ha −1 y −1 , and >75 t ha −1 y −1 , respectively, to better understand the prioritization and classification of SED severity. The soil loss ranks were established based on Ethiopian study findings (Assfaw, 2020;Chaemiso et al, 2021;Chimdessa et al, 2018;Dibaba et al, 2021). (Toma et al, 2022).…”

Section: Identifying Places That Are Prone To Erosionmentioning

confidence: 99%

“…The impact of LULC change on HCs such as surface runoff (SURQ), lateral flow (LATQ), groundwater flow (GWQ), and evapotranspiration (ET) in a river basin is a well-studied issue around the world (Abe et al, 2018; Chilagane et al, 2021; Kumar et al, 2018). LULC variations have been studied at various geographical and temporal ranges for their impact on hydrology and soil loss (Assfaw, 2020; Baig et al, 2022; Chaemiso et al, 2021; Choto & Fetene, 2019; Gebremichael, 2021; Wang et al, 2022). Furthermore, evaluations of multiple research papers indicate that LULC modification might modify streamflow, hence altering a basin’s hydrological components (HCs) and sediment yield (SED) (Afonso de Oliveira Serrão et al, 2022; Kumar et al, 2018; Negese, 2021).…”

Section: Introductionmentioning

confidence: 99%

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Hydrological Components and Sediment Yield Response to Land Use Land Cover Change in The Ajora-Woybo Watershed of Omo-Gibe Basin, Ethiopia

Toma

Belete

Ulsido

2023

Air, Soil and Water Research

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Understanding how watersheds respond to ecological changes and how LULC alteration affects watershed hydrology is crucial for water and soil resource management. LULC changes in the Ajora-Woybo watershed, Ethiopia, have momentously affected the water and soil resources. The researchers aimed to see how LULC changes affect hydrological components (HCs) and sediment yield (SED) in the watershed, both historically and in the future. The Soil and Water Assessment Tool (SWAT2012) and Partial Least Squares Regression (PLSR) models were used to investigate the contribution of each of the LULC classes to achieve the goal. The findings revealed a continual growth of cultivated land, built-up areas, and bare land, and a retreat of shrub land and forest land during the 2000 to 2020 periods, which is expected to continue in the 2035 and 2050 periods. Changes in LULC that happened over the historical era increased yearly surface runoff (23.5%), water yield (5.7%), and sediment yield (23.5%). On the other hand, the observed modifications have reduced lateral flow (12.8%) and groundwater flow (10.9%). Except for the 2020 LULC period, evapotranspiration decreased during the studied years. The future impacts of LULC states are predicted to increase in line with the historical trend. The PLSR results showed that cultivated land and built-up areas had a positive association with surface runoff and sediment yield, but shrub land and forest land had a negative correlation. This highlights the importance of controlling the LULC change as soon as possible to maintain long-term watershed stability.

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Section: Calibration and Validationmentioning

confidence: 65%

Section: Identifying Places That Are Prone To Erosionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Hydrological Components and Sediment Yield Response to Land Use Land Cover Change in The Ajora-Woybo Watershed of Omo-Gibe Basin, Ethiopia

Toma

Belete

Ulsido

2023

Air, Soil and Water Research

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“…The models also perform well due to their ability to project dynamically, use effective calibration methods, and simulate different types of LULC (Dey et al, 2021;Girma et al, 2022;Hakim et al, 2021;Kafy et al, 2021;Leta et al, 2021;Nath et al, 2020;Tadese et al, 2021). Due to the growth of rural populations and the settlement areas, land use practices in the Omo-Gibe basin (Chaemiso et al, 2021), particularly in the Ajora-Woybo watershed, have altered dramatically in the last 20 years and are no longer sustainable. Land degradation, in turn, poses a threat to the environment and livelihoods of local communities (Chaemiso et al, 2021).…”

Section: Recommendations For Resource Managersmentioning

confidence: 99%

“…Due to the growth of rural populations and the settlement areas, land use practices in the Omo‐Gibe basin (Chaemiso et al, 2021), particularly in the Ajora‐Woybo watershed, have altered dramatically in the last 20 years and are no longer sustainable. Land degradation, in turn, poses a threat to the environment and livelihoods of local communities (Chaemiso et al, 2021). Numerous land and water resource development initiatives rely on LULC change knowledge because it provides crucial decision‐making information (Edan et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

Historical and future dynamics of land use land cover and its drivers in Ajora‐Woybo watershed, Omo‐Gibe basin, Ethiopia

Toma

Belete

Ulsido

2022

Natural Resource Modeling

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Land use land cover (LULC) dynamics have long been recognized as a significant driver of natural resource change. As a result, understanding the spatial and temporal variation of LULC in the watershed is essential for effective natural resource management and long‐term development. This study attempts to analyze the dynamics and change drivers from 1990 to 2020 and predict the situation for 2035 and 2050 in the Ajora‐Woybo watershed. ArcGIS 10.3 and ERDAS 2015 were used to analyze quantitative data from Landsat imagery. For supervised image classification, a Maximum‐Likelihood classification algorithm was used. To identify driver variables, focus groups and key informants' interviews were done. TerrSet 18.31 software was used to predict LULC utilizing the Multi‐Layer Perceptron Neural Network and Cellular Automata‐Markov Chain models incorporated in Land Change Modeler. Six LULC classes were discovered: cultivated land, built‐up, shrub land, forest land, bare land, and water body. Cultivated land, built‐up area, and bare land have increased at the expense of shrub land and forest land over the last three decades. Trends in water bodies show both decreasing and increasing trends. According to the predicted outcomes, cultivated land, built‐up and bare land has increased, while shrub land and forest land have declined. Finally, agricultural expansion, population growth, wood extraction, resettlement, urbanization, and lack of environmental consideration were identified as the major drivers of LULC change. The study demonstrated that there have been significant changes in the watershed LULC. As a result, reversing the predicted conditions is critical to ensuring the watershed long‐term viability.

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Modeling streamflow responses to land use and land cover change using MIKE SHE model in the upper Omo Gibe catchment of Ethiopia

Werede,

Lohani,

Neka

et al. 2024

World Water Policy

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The land use and land cover (LULC) changes in the upper Gibe catchment were studied intricately using the MIKE SHE model and analyzed through statistical tests. The Mann–Kendall test was used to identify potential trends, while the Pettit test was used to detect abrupt changes in rainfall, temperature, and streamflow. A set of three maps of LULC change (1990, 2003, and 2018) was developed to observe how they affect the hydrological pattern of the catchment. Statistical analyses were conducted at mean annual time scales to establish relationships among the anomalies. It has been noted that certain temperature gauges showed statistically significant increases in temperature. Change points in the 1980s and 1990s were identified during the study period. The annual streamflow trends displayed an increasing trend that was not that significant. LULC changes contributed to increased surface runoff, attributed to agricultural, settlement, and water body expansion, as well as reductions in bare land, forest, shrubland, and grassland. The MIKE SHE model performed well during both the calibration and validation periods on the monthly time scale. The alterations in LULC had a noticeable impact on stream flows during both wet and dry seasons, resulting in increased mean monthly stream flows during the wet season and decreased flows during the dry season. The MIKE SHE study and related statistical analysis is quite a different method to perceive the results.

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Effect of land use/land cover changes on surface water availability in the Omo-Gibe basin, Ethiopia

Cited by 21 publications

References 40 publications

Hydrological Components and Sediment Yield Response to Land Use Land Cover Change in The Ajora-Woybo Watershed of Omo-Gibe Basin, Ethiopia

Hydrological Components and Sediment Yield Response to Land Use Land Cover Change in The Ajora-Woybo Watershed of Omo-Gibe Basin, Ethiopia

Historical and future dynamics of land use land cover and its drivers in Ajora‐Woybo watershed, Omo‐Gibe basin, Ethiopia

Modeling streamflow responses to land use and land cover change using MIKE SHE model in the upper Omo Gibe catchment of Ethiopia

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