Arid
DOI10.1080/23311932.2018.1514959
Top-soil salinity mapping using geostatistical approach in the agricultural landscape of Timuga irrigation scheme, South Tigray, Ethiopia
Aredehey, Gebrejewergs; Libsekal, Hintsa; Brhane, Medhn; Welde, Kidane; Giday, Abadi
通讯作者Aredehey, G
来源期刊COGENT FOOD & AGRICULTURE
ISSN2331-1932
出版年2018
卷号4期号:1
英文摘要Long-term irrigation activities in arid and semi-arid areas causes soil salinity problem. Thus, knowing soil salinity status is a prerequisite for designing appropriate irrigation management strategies. This study was therefore conducted to predict top-soil salinity of Timuga irrigation scheme and to map its spatial distribution using geostatistical techniques. An area of 33.5 km(2) was delineated, and regularly spaced grid (cell size: 500 m) of sampling points were generated using fishnet of the ArcGIS 10.2. A total of 106 composite soil samples were collected from each sampling points at a depth of 20 cm and geo-referenced using global positioning system. Soil samples were analyzed for pH, electrical conductivity (ECe), cation exchange capacity, and exchangeable bases (Ca++, Mg++, K+, and Na+) following the standard laboratory procedure. Both descriptive statistics and ordinary kriging interpolation techniques were used to analyze the data. The result showed that electrical conductivity ranged from 0.125 to 12.89 mScm(-1) and the exchangeable sodium percentage ranged from 0.094% to 27.514%. This indicated that soils of the irrigation scheme are characterized by saline and sodic soils with different degree of spatial variability. The total area of 75.3% and 24.7% has classified as low and medium salinity hazards, respectively. However, 3.11%, 76%, and 20.89% of the total area have classified as high, medium, and low sodicity levels, respectively. Therefore, it was concluded that soil salinity hazard is existed and is building up of gradually in parallel with irrigation expansion. Hence, prevention and recovery measures are needed considering a variety of options such as leaching, fertilization, and planting salinity-resistant crop varieties to sustain irrigation productivity.
英文关键词Geostatistical approach irrigation scheme soil salinity spatial interpolation
类型Article
语种英语
开放获取类型DOAJ Gold
收录类别ESCI
WOS记录号WOS:000456828400001
WOS关键词INTERPOLATION ; GERMINATION ; PREDICTION ; TOLERANCE ; EXCHANGE ; STRESS ; GROWTH ; YIELD
WOS类目Agriculture, Multidisciplinary
WOS研究方向Agriculture
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/333246
作者单位[Aredehey, Gebrejewergs] Mekelle Univ, Collage Dry Land Agr & Nat Resources, POB 231, Mekelle, Ethiopia; [Libsekal, Hintsa; Welde, Kidane; Giday, Abadi] Tigray Agr Res Inst, Alamata Agr Res Ctr, Alamata, Ethiopia; [Brhane, Medhn] Tigray Agr Res Inst, Mekelle Soil Res Ctr, Mekelle, Ethiopia
推荐引用方式
GB/T 7714
Aredehey, Gebrejewergs,Libsekal, Hintsa,Brhane, Medhn,et al. Top-soil salinity mapping using geostatistical approach in the agricultural landscape of Timuga irrigation scheme, South Tigray, Ethiopia[J],2018,4(1).
APA Aredehey, Gebrejewergs,Libsekal, Hintsa,Brhane, Medhn,Welde, Kidane,&Giday, Abadi.(2018).Top-soil salinity mapping using geostatistical approach in the agricultural landscape of Timuga irrigation scheme, South Tigray, Ethiopia.COGENT FOOD & AGRICULTURE,4(1).
MLA Aredehey, Gebrejewergs,et al."Top-soil salinity mapping using geostatistical approach in the agricultural landscape of Timuga irrigation scheme, South Tigray, Ethiopia".COGENT FOOD & AGRICULTURE 4.1(2018).
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