Implications of land use/cover dynamics on soil erosion potential of agricultural watershed, northwestern highlands of Ethiopia

Esa, Ebrahim; Assen, Mohammed; Legass, Asmamaw

doi:10.1186/s40068-018-0122-0

Cited by 54 publications

(33 citation statements)

References 15 publications

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“…Nesse ponto, o sensoriamento remoto e os sistemas de informações geográficas (SIG) destacam-se por apresentarem diversas possibilidades de aplicações. Como vantagens dessa estratégia, tem-se a possibilidade de analisar grande volume de dados, obter informações em diferentes escalas de tempo e espaço (Esa et al, 2018) e relativo baixo investimento em recursos financeiros, logísticos e de mão de obra especializada.…”

Section: Dinâmica Espaço Temporal Da Cobertura Da Terra Em Uma Bacia unclassified

Space-Temporal Dynamics of Soil Coverage in a Watershed of the MATOPIBA Region, Brazil

et al. 2020

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ResumoA expansão da fronteira agrícola e pecuária no Cerrado brasileiro já levou à perda de 46% da sua cobertura vegetal original, desde o início da década de 1980. Isso causou significativa fragmentação a paisagem natural, sendo a região do MATOPIBA (Maranhão, Tocantins, Piauí e Bahia), diretamente relacionada à essa expansão. O monitoramento do uso e cobertura da terra a partir de dados do sensoriamento remoto e ferramentas do geoprocessamento, podem contribuir para a compreensão da dinâmica do desmatamento nesta região. Dessa forma, o objetivo do estudo foi analisar a dinâmica espaço-temporal do uso e cobertura da terra para a bacia hidrográfica do Rio Corrente, localizado em território do MATOPIBA, especificamente ao sul do Piauí. Neste estudo, foram utilizadas imagens dos satélites Landsat-5 Thematic Mapper (TM) e Landsat-8 Operational Land Imager(OLI), referentes aos anos de 1986, 1996, 2006 e 2016 e realizada classificação supervisionada para os anos avaliados, através do Algoritmo de Máxima Verossimilhança (Maxver), com auxílio do software QGIS 2.14.3. A acurácia da classificação foi averiguada com uso do Índice Kappa. Entre 1986 e 2016 a classe Mata Ciliar/Cerradão foi reduzida em 39,54 km² (9,1%). A classe Cerrado Denso/Cerrado Ralo reduziu 129,71 km², equivalente a 47,8% a menos da cobertura que havia em 1986 desta classe. Paralelamente houve expressivo aumento nas classes Solo Exposto e Agricultura/Pastagem, sendo 43,5% e 333%, respectivamente. A classificação supervisionada apresentou concordância do tipo muito boa, variando entre 0,91 a 0,96. Os resultados obtidos evidenciam o avanço das atividades agropecuárias na região do MATOPIBA, necessitando de maior atenção do ponto de vista do manejo do solo e proteção ambiental. Palavras-Chave: dinâmica da paisagem; desmatamento; geoprocessamento. AbstractThe expansion of agricultural and pasture frontier in the Brazilian Cerrado has already led to the loss of 46% of its original vegetation cover since the beginning of the 1980sThis fact caused significant fragmentation of the natural landscape, being the region of MATOPIBA (Maranhão, Tocantins, Piauí and Bahia states) directly related to this expansion. Monitoring land use and land cover from remote sensing data and geoprocessing tools can contribute to understand the deforestation dynamics in this region. Thus, the goal of this study was to analyze the space-temporal dynamics of land use and land cover for the Rio Corrente basin, located in the territory of MATOPIBA, specifically to the south of Piauí. In this study, we used images from Landsat-5 Thematic Mapper (TM) e Landsat-8 Operational Land Imager (OLI) satellites for the years 1986, 1996, 2006, and 2016 and we performed a supervised classification for these years using the Maximum Likelihood Algorithm (Maxver), in QGIS 2.14.3. The classification had the accuracy assessment using the Kappa Index. Between 1986 and 2016, the Mata Ciliar/Cerradão class was reduced 39.54 km² (9.1%). The Cerrado Denso/Cerrado Ralo class reduced 129.71 km², corresponding...

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Section: Dinâmica Espaço Temporal Da Cobertura Da Terra Em Uma Bacia unclassified

Space-Temporal Dynamics of Soil Coverage in a Watershed of the MATOPIBA Region, Brazil

et al. 2020

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“…It determines the relative effectiveness of soil and land cover management systems in controlling soil erosion (Kaltenrieder, 2007). Vegetation cover is a significant factor to control soil erosion rate (Esa et al, 2018). The land cover determines the portion of rainfall that infiltrates into the soil and converted into surface runoff, which is a driving force for soil erosion.…”

Section: Land Cover Management Factor (C)mentioning

confidence: 99%

“…Support practice factor (P) describes the effectiveness of erosion control measures like contours, strip cropping and terracing to reduce soil loss rate from its average rate from unprotected land to tolerable estimated rate (Esa et al, 2018). The lesser P value represents the more effective support practice to reduce soil erosion and the larger P value represents the lesser effective support practice to reduce soil erosion (Adugna et al, 2015).…”

Section: Support Practice Factor (P)mentioning

confidence: 99%

Spatial Distribution of Soil Loss in Upper Didessa Watershed, Ethiopia

Tufa

Feyissa

2019

J. Sed. Env.

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Soil erosion is dramatically increasing and accelerating in developing countries like Ethiopia. It has worrisome economic and environmental impacts and causes nutrient loss on agricultural land, sedimentation in rivers and reservoirs, clogged canals and other water supply systems. Determination of spatial distribution of soil loss rate in upper Didessa watershed is an important priority for prioritizing the area for watershed management practices in order to reduce soil erosion. The Revised Universal Soil Loss Equation (RUSLE) framed with geographical information system and remote sensing technique was used to estimate the mean annual soil loss in Upper Didessa Watershed, Ethiopia. Digital elevation model (DEM) with 30mx30m resolution was collected from Ministry of Water, Irrigation and Energy and used to delineate the watershed. Soil loss factors of the watershed like length and slope factor (LS), soil erodibility factor (K), cover management factor (C), support practicing factor (P) and rain fall erosivity factor (R) were evaluated and integrated in GIS to compute the annual soil loss rate of the watershed. The results of this work reveal that the annual rate of soil loss in the watershed is 5.23 t / ha / year. They also show that the central part of the watershed is an area prone to soil erosion. DISTRIBUIÇÃO ESPACIAL DA PERDA DO SOLO NA BACIA HIDROGRÁFICA SUPERIOR DIDESSA, ETIÓPIA ResumoA erosão do solo está aumentando e acelerando dramaticamente em países em desenvolvimento como a Etiópia. Tem impactos econômicos e ambientais preocupantes e causa perda de nutrientes em terras agrícolas, sedimentação em rios e reservatórios, entupimento de canais e outros sistemas de fornecimento de água. A determinação da distribuição espacial da taxa de perda de solo na bacia hidrográfica superior do Rio Didessa é uma prioridade importante para priorizar a área para práticas de manejo de bacias hidrográficas a fim de reduzir a erosão do solo. A Equação Universal de Perda de Solo Revisada (RUSLE), enquadrada com sistema de informação geográfica e técnica de sensoriamento remoto, foi usada para estimar a perda média anual de solo na Bacia do Alto Didessa, na Etiópia. O modelo digital de elevação (DEM) com resolução de 30mx30m foi coletado no Ministério da Água, Irrigação e Energia e utilizado para delinear a bacia hidrográfica. Os fatores de perda de solo da bacia hidrográfica, como comprimento e fator de inclinação (LS), fator de erodibilidade do solo (K), fator de manejo da cobertura (C), fator de prática de apoio (P) e fator de erosividade da chuva (R) foram avaliados e integrados no SIG para calcular a taxa anual de perda de solo da bacia hidrográfica. Os resultados deste trabalho revelam que taxa anual de perda de solo da bacia hidrográfica é de 5,23 t / ha / ano. Mostram ainda que a parte central da bacia hidrográfica é uma área propensa à erosão do solo. Palavras-chave: SIG. Perda de solo. RUSLE. Didessa superior da bacia hidrográfica.

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“…Urbanization is undeniably an ongoing global trend with substantial alterations of land use/land cover (LULC) (Rasul et al 2018;Deribew & Dalacho 2019). LULC changes are the main causes of global environmental change (Gashaw et al 2017;Hassen & Assen 2017;Esa et al 2018;Guzha et al 2018), and manifest in climatological, biodiversity and hydrological responses.…”

Section: Introductionmentioning

confidence: 99%

Analyzing the impacts of urbanization on runoff characteristics in Adama city, Ethiopia

Bulti

Girma²

2019

Preprint

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Background It has been increasingly recognized that urbanization is responsible for alterations of land use/land cover globally with substantial environmental impacts on all temporal and spatial scales. Particularly, it significantly affects the hydrologic cycle. Floods are the major threats to several cities worldwide with more effects in developing countries. Likewise, urban water management has become the main focus of sustainable urban development and poses higher demand for information related to the interaction between the urbanization process and hydrological attributes, but little is known in the context of Ethiopian urban centers. For this, Adama city, a fast grown and flood vulnerable urban area is considered to examine the impacts of urbanization on the storm runoff at different spatial scales from 1995 to 2019. Preparing land use/land cover (LULC) maps for different periods, the dynamics of LULC transformations were analyzed. The SCS-CN method was used to compute runoff at respective years from which spatiotemporal changes of the city’s hydrology were assessed at the city and watershed levels. Regression analysis was used for exploring the relation between the spatiotemporal changes of imperviousness ratio and runoff.Results The findings show that the urban built-up area undergone about 22% expansion annually from 1995 to 2019. Besides the runoff is increased by 23% in the City and 31% and 16.6% in the watersheds. Moreover, the significant direct linear relationship is found between the spatiotemporal variations of runoff and imperviousness ratio at both spatial scales.Conclusions Adama city has experienced significant LULC transformations over the last 24 years with significant effects on hydrological attributes, which pressed an alarm for increasing ﬂood hazards. Hence, in order to realize sustainable growth of the city, future developments should be guided by impervious surface-based land use regulations.

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Implications of land use/cover dynamics on soil erosion potential of agricultural watershed, northwestern highlands of Ethiopia

Cited by 54 publications

References 15 publications

Space-Temporal Dynamics of Soil Coverage in a Watershed of the MATOPIBA Region, Brazil

Space-Temporal Dynamics of Soil Coverage in a Watershed of the MATOPIBA Region, Brazil

Spatial Distribution of Soil Loss in Upper Didessa Watershed, Ethiopia

Analyzing the impacts of urbanization on runoff characteristics in Adama city, Ethiopia

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