Physical Land Suitability Evaluation for Irrigation in the Lower Alwero River Area of Abobo, Western Ethiopia

Yitbarek, Teshome

doi:10.11648/j.ajaf.20170503.14

Cited by 5 publications

(5 citation statements)

References 3 publications

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“…According to Zabel (2014) Dystric and Eutric Plinthosols, Dystric and Chromic Cambisols, Eutric Vertisols and Planosols are the major soils of the district. The major land use types of Abobo district include forest (143,086 ha), woodland (75,227 ha), shrub (5,793 ha), grass (62,997 ha) and cultivated lands (19,854 ha) (Yitbarek et al 2017). Maize (Zea mays L.), sorghum (Sorghum bicolor), groundnut (Arachis hypogae), sesame (Sesamum astivum), cotton (Gossypium sp.)…”

Section: Methodsmentioning

confidence: 99%

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Spatiotemporal variability and trends in rainfall and temperature in Alwero watershed, western Ethiopia

Alemayehu

Maru

Bewket

et al. 2020

Preprint

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Background: Climate analysis at relevant time scales is important for water resources management, agricultural planning, flood risk assessment, ecological modeling and climate change adaptation. This study analyses spatiotemporal variability and trends in rainfall and temperature in Alwero watershed, western Ethiopia. The study is based on gridded monthly rainfall and maximum and minimum temperature data series at a resolution of 4x4 km which were obtained from the National Meteorological Agency of Ethiopia for the period 1983-2016. The study area is represented by 558 points (each point representing 4×4 km area). Results: Mean annual rainfall of the watershed is >1600mm. Annual, June-September (Kiremt), March-May (Belg) rainfall totals exhibit low inter-annual variability. Annual and October-February (Bega) rainfalls show statistically significant increasing trends at p=0.01 level. May and November rainfall show statistically significant increasing trends at p=0.01 level. March shows statistically significant decreasing trend at p=0.1 level. The mean annual temperature of the watershed is 25 0C with standard deviation of 0.31 0C and coefficient of variation of 0.01 0C. Mean annual minimum and maximum temperatures show statistically non-significant decreasing trends. Bega season experienced statistically significant deceasing trend in the maximum temperature at p = 0.01 level. The year-to-year variability in the mean annual minimum and maximum temperatures showed that the 2000s is cooler than the preceding decades. Unlike our expectations, annual and seasonal rainfall totals showed increasing trends while maximum and minimum temperatures showed decreasing trends. Conclusions: Our results suggest that local level investigations such as this one are important in developing context-specific climate change adaptation and agricultural planning, instead of coarse-scale national level analysis guiding local level decisions.

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Section: Methodsmentioning

confidence: 99%

“…Maize (Zea mays L.), sorghum (Sorghum bicolor), groundnut (Arachis hypogae), sesame (Sesamum astivum), cotton (Gossypium sp.) and rice (Oryza sativa L.) are major crops grown in the area (Yitbarek et al 2017). From these, maize and sorghum are the dominant in terms of production (Degife et al 2019) and consumption (Dorosh and Rashid 2013).…”

Section: Methodsmentioning

confidence: 99%

Spatiotemporal variability and trends in rainfall and temperature in Alwero watershed, western Ethiopia

Alemayehu

Maru

Bewket

et al. 2020

Preprint

View full text Add to dashboard Cite

show abstract

“…The major land use types of Abobo district include forest (143,086 ha), woodland (75,227 ha), shrub (5,793 ha), grass (62,997 ha) and cultivated lands (19,854 ha) (Yitbarek et al 2017). Maize (Zea mays L.), sorghum (Sorghum bicolor), groundnut (Arachis hypogae), sesame (Sesamum astivum), cotton (Gossypium sp.)…”

Section: Fig 1 Location Of the Study Areamentioning

confidence: 99%

Section: Fig 1 Location Of the Study Areamentioning

confidence: 99%

Spatiotemporal variability and trends in rainfall and temperature in Alwero watershed, western Ethiopia

et al. 2020

View full text Add to dashboard Cite

Climate analysis at relevant time scales is important for water resources management, agricultural planning, flood risk assessment, ecological modeling and climate change adaptation. This study analyses spatiotemporal variability and trends in rainfall and temperature in Alwero watershed, western Ethiopia. Our analysis is focused on describing spatial and temporal variability of rainfall in the study area including detection of trends, with no attempt at providing meteorological explanations to any of the patterns or trends. The study is based on gridded monthly rainfall and maximum and minimum temperature data series at a resolution of 4 × 4 km which were obtained from the National Meteorological Agency of Ethiopia for the period 1983–2016. The study area is represented by 558 points (each point representing 4 × 4 km area). Mean annual rainfall of the watershed is > 1600 mm. Annual, June–September (Kiremt), March–May (Belg) rainfall totals exhibit low inter-annual variability. Annual and October-February (Bega) rainfalls show statistically significant increasing trends at p = 0.01 level. May and November rainfall show statistically significant increasing trends at p = 0.01 level. March shows statistically significant decreasing trend at p = 0.1 level. The mean annual temperature of the watershed is 25 °C with standard deviation of 0.31 °C and coefficient of variation of 0.01 °C. Mean annual minimum and maximum temperatures show statistically non-significant decreasing trends. Bega season experienced statistically significant deceasing trend in the maximum temperature at p = 0.01 level. The year-to-year variability in the mean annual minimum and maximum temperatures showed that the 2000s is cooler than the preceding decades. Unlike our expectations, annual and seasonal rainfall totals showed increasing trends while maximum and minimum temperatures showed decreasing trends. Our results suggest that local level investigations such as this one are important in developing context-specific climate change adaptation and agricultural planning, instead of coarse-scale national level analysis guiding local level decisions.

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“…The land suitability was evaluated by developing and assigning weight to the key factors [19] that affect the irrigation potential of the land from Surface water potential. The factors considered under this study were adopted from different kinds of literature [12,14,16,17,[20][21][22][23][24][25][26]] such as physical land features (LULC, soil types and slope derived from DEM of the sub-river basin), climate characteristics, river proximity and market access.…”

Section: Methodsmentioning

confidence: 99%

Evaluation of Land Suitability for Irrigation Development and Sustainable Land Management Using ArcGIS on Katar Watershed in Rift Valley Basin, Ethiopia

Gurara¹

2020

WROS

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Evaluating land suitability from the available land and water resources potential for irrigation development is very important for planning sustainable use of limited land and water resources. The critical objective of this study was to evaluate the suitable land resource potential for irrigation development for the Katar River watershed in the Rift Valley Basin in Ethiopia by using ArcGIS based on Multi-Criteria Evaluation (MCE) techniques. The steps undertaken were watershed delineation, characterizing the watershed by suitability parameters such as slope, soil texture, soil depth, drainage classes, proximity to river and urban, and land use land cover. And then, re-classification and mapping according to suitability classification, identification of irrigable land, and estimation of surface water potential and irrigation water requirements were followed. After reclassified, the suitability analyses of the each parameter were classified based on suitability classes for irrigation development. The weighting analysis of all parameters resulted that 34.08% was classified as high suitable (S1), 58.08% moderately suitable (S2), 3.8% marginally suitable (S3), whereas 3.21% not suitable (N) for surface irrigation development. Finally, comparing the required gross irrigation water requirement and available monthly flow of the River, the River has the capacity for the fulfilling irrigation water demand to irrigate command area of the watershed during dry season.

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Physical Land Suitability Evaluation for Irrigation in the Lower Alwero River Area of Abobo, Western Ethiopia

Cited by 5 publications

References 3 publications

Spatiotemporal variability and trends in rainfall and temperature in Alwero watershed, western Ethiopia

Spatiotemporal variability and trends in rainfall and temperature in Alwero watershed, western Ethiopia

Spatiotemporal variability and trends in rainfall and temperature in Alwero watershed, western Ethiopia

Evaluation of Land Suitability for Irrigation Development and Sustainable Land Management Using ArcGIS on Katar Watershed in Rift Valley Basin, Ethiopia

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