Spatiotemporal detection of land use/land cover change in the large basin using integrated approaches of remote sensing and GIS in the Upper Awash basin, Ethiopia

Shawul, Alemayehu A.; Chakma, Sumedha

doi:10.1007/s12665-019-8154-y

Cited by 68 publications

(40 citation statements)

References 28 publications

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“…The basin is known for its intensified agricultural activities at different scales, including small, medium, and large-scale farming practices. The 42 years historical period of land use land cover (LULC) change analysis in the Upper Awash River Basin shows continuous increment in the spatial extent of cropland and urban areas [45]. Major crops grown in the basin include teff (a crop native to Ethiopia cultivated around Debrezeit), maize (in Wonji and Metehara), and sorghum (in Melkassa).…”

Section: Study Areamentioning

confidence: 99%

Spatial and Temporal Analysis of Dry and Wet Spells in Upper Awash River Basin, Ethiopia

Adane

Hirpa

Lim

et al. 2020

Water

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This study aimed to analyze the probability of the occurrence of dry/wet spell rainfall using the Markov chain model in the Upper Awash River Basin, Ethiopia. The rainfall analysis was conducted in the short rainy (Belg) and long rainy (Kiremt) seasons on a dekadal (10–day) scale over a 30-year period. In the Belg season, continuous, three-dekad dry spells were prevalent at all stations. Persistent dry spells might result in meteorological, hydrological, and socio-economic drought (in that order) and merge with the Kiremt season. The consecutive wet dekads of the Kiremt season indicate a higher probability of wet dekads at all stations, except Metehara. This station experienced a short duration (dekads 20–23) of wet spells, in which precipitation is more than 50% likely. Nevertheless, surplus rainwater may be recorded at Debrezeit and Wonji only in the Kiremt season because of a higher probability of wet spells in most dekads (dekads 19–24). At these stations, rainfall can be harvested for better water management practices to supply irrigation during the dry season, to conserve moisture, and to reduce erosion. This reduces the vulnerability of the farmers around the river basin, particularly in areas where dry spell dekads are dominant.

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Section: Study Areamentioning

confidence: 99%

Spatial and Temporal Analysis of Dry and Wet Spells in Upper Awash River Basin, Ethiopia

Adane

Hirpa

Lim

et al. 2020

Water

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“…The Himalayan river systems are undergoing major modifications through changes in land use, climate and water resource development (Rajvanshi et al, 2012;Manel et al, 2000). A similar study was found useful for knowledge-based future land management practices in the Upper Awash basin, Ethiopia where river basins and sub-basins were considered as focal area to study the extent and the rate of landscape change (Shawul and Chakma, 2019). Our study is a pioneering attempt of landscapelevel assessment, ascertaining forest fragmentation patterns by select metrics across a time-span of two decades containing a substantial amount of riparian stands, which are otherwise not protected by law (Roy et al, 2013).…”

Section: Discussionmentioning

confidence: 99%

Dynamics of Landscape Change in a Mountainous River Basin: A Case Study of the Bhagirathi River, Western Himalaya

Gaur¹

2019

Appl. Ecol. Env. Res.

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Riverine systems are influenced by historical and current land use practices linked to alterations in the riparian zone across multiple scales. This study aims to explore the trend of spatiotemporal land cover changes and configuration along a major headstream of the river Ganges in India. Geo-spatial tools were used to quantify the changes in the landscape across a time span of 22 years. Landscape configuration was quantified by applying class level metrics using the software FRAGSTATS. A loss of 18.3% and 5.5% in the dense forest class was perceived in the upland and the riverine areas respectively aided by conversion of large contiguous forests into smaller isolated patches. Markov analysis showed that the forests in the landscape still possess inherent resilience capacity as indicated by a probability of 47% conversion of open forest class to dense forest class in future based on current land-use practices. Land cover changes and forest fragmentation can have inevitable impacts on ecological functioning and species persistence. Monitoring these changes is fundamental in planning future strategies for riverine landscape management. The present study underpins the utility of remote sensing and GIS in building useful baseline data for inaccessible mountainous landscapes at both local and regional scales.

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“…The spatiotemporal transition matrix analysis was one of the most widely used methods in geographic research and often used to study the change of the same spatial event over time. For instance, Shawul and Chakma have used this method to analysis the conversion of land use types in different periods 45 . The kernel density analysis could effectively identify the spatial agglomeration area of an event and was widely used in geographic, medical event analysis and case analysis 46 .…”

Section: Discussionmentioning

confidence: 99%

Coupling ITO3dE model and GIS for spatiotemporal evolution analysis of agricultural non-point source pollution risks in Chongqing in China

Zhu

Yang

Huang

et al. 2021

Sci Rep

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To determine the risk state distribution, risk level, and risk evolution situation of agricultural non-point source pollution (AGNPS), we built an ‘Input-Translate-Output’ three-dimensional evaluation (ITO3dE) model that involved 12 factors under the support of GIS and analyzed the spatiotemporal evolution characteristics of AGNPS risks from 2005 to 2015 in Chongqing by using GIS space matrix, kernel density analysis, and Getis-Ord Gi* analysis. Land use changes during the 10 years had a certain influence on the AGNPS risk. The risk values in 2005, 2010, and 2015 were in the ranges of 0.40–2.28, 0.41–2.57, and 0.41–2.28, respectively, with the main distribution regions being the western regions of Chongqing (Dazu, Jiangjin, etc.) and other counties such as Dianjiang, Liangping, Kaizhou, Wanzhou, and Zhongxian. The spatiotemporal transition matrix could well exhibit the risk transition situation, and the risks generally showed no changes over time. The proportions of ‘no-risk no-change’, ‘low-risk no-change’, and ‘medium-risk no-change’ were 10.86%, 33.42%, and 17.25%, respectively, accounting for 61.53% of the coverage area of Chongqing. The proportions of risk increase, risk decline, and risk fluctuation were 13.45%, 17.66%, and 7.36%, respectively. Kernel density analysis was suitable to explore high-risk gathering areas. The peak values of kernel density in the three periods were around 1110, suggesting that the maximum gathering degree of medium-risk pattern spots basically showed no changes, but the spatial positions of high-risk gathering areas somehow changed. Getis-Ord Gi* analysis was suitable to explore the relationships between hot and cold spots. Counties with high pollution risks were Yongchuan, Shapingba, Dianjiang, Liangping, northwestern Fengdu, and Zhongxian, while counties with low risks were Chengkou, Wuxi, Wushan, Pengshui, and Rongchang. High-value hot spot zones gradually dominated in the northeast of Chongqing, while low-value cold spot zones gradually dominated in the Midwest. Our results provide a scientific base for the development of strategies to prevent and control AGNPS in Chongqing.

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Spatiotemporal detection of land use/land cover change in the large basin using integrated approaches of remote sensing and GIS in the Upper Awash basin, Ethiopia

Cited by 68 publications

References 28 publications

Spatial and Temporal Analysis of Dry and Wet Spells in Upper Awash River Basin, Ethiopia

Spatial and Temporal Analysis of Dry and Wet Spells in Upper Awash River Basin, Ethiopia

Dynamics of Landscape Change in a Mountainous River Basin: A Case Study of the Bhagirathi River, Western Himalaya

Coupling ITO3dE model and GIS for spatiotemporal evolution analysis of agricultural non-point source pollution risks in Chongqing in China

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