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Salinization pattern and its spatial distribution in the irrigated agriculture of Northern Ethiopia: An integrated approach of quantitative and spatial analysis

机译:埃塞俄比亚北部灌溉农业的盐渍化模式及其空间分布:一种定量和空间分析的综合方法

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Salinity adversely affects the environment, agro-ecosystems and agricultural productivity of arid and semi-arid regions worldwide. This salinization occurs due to natural, human or both actions on the dynamic earth system. This study was conducted to quantify the magnitude and map the spatial distributions of salinity of the irrigated agriculture in northern Ethiopia. A total of 717 soil and 13 water samples from nine irrigation schemes were used for analysis. The soil samples were collected on a grid basis from 0 to 15 cm and 15-30 cm soil depths in the plant's root zone whilst surface water samples were collected from the irrigation water source, middle and lower cross-sections of the irrigation schemes. These soil and water samples were analyzed quantitatively for 14 salinity parameters and results compared with worldwide standard values. In addition, the spatial analysis was made for three basic salinity parameters of hydrogen ion concentrations (pH), Electrical Conductivity (EC) and Sodium Adsorption Ratio (SAR). Even if, there are non-significant variations between soil depths and among the irrigation cross-sections, a salinity is observed at 33% of the schemes. Higher pH average values are spatially concentrated downstream whilst SAR and EC showed inconsistent variations among irrigation schemes. The quantitative and spatial salinity analysis revealed that Gum Selassa, Gereb Kunchi and Tegahne irrigation schemes have potential salinity levels. As a result, salinity management strategies and community-based salinity management approaches that involve farmers' participation is vital to create a sense of ownership. Irrigation users and decision makers should consider possible measures of minimizing salinity build-up thereby increasing agricultural productivity in a sustainable way.
机译:盐度对全世界干旱和半干旱地区的环境,农业生态系统和农业生产力产生不利影响。这种遗产由于自然,人体或两种动态地球系统而行动而发生。进行了该研究,以量化埃塞俄比亚北部灌溉农业的盐度空间分布的量度和地图。共有717个土壤和13种来自九个灌溉方案的水样用于分析。将土壤样品在植物根区的0〜15cm和15-30厘米的土壤深度上收集到植物根区,而从灌溉水源,中间和下部横截面收集地表水样。与全球标准值相比,定量地分析了这些土壤和水样,并进行了14个盐度参数和结果。此外,对氢离子浓度(pH),导电性(EC)和吸附比(SAR)进行三个基本盐度参数进行了空间分析。即使,土壤深度和灌溉横截面之间存在非显着变化,在33%的方案中观察到盐度。较高的pH平均值在空间上浓缩下游,而SAR和EC在灌溉方案中显示出不一致的变化。定量和空间盐度分析显示,胶塞萨,GEREAB Kunchi和Tegahne灌溉方案具有潜在的盐度水平。因此,融资管理策略和涉及农民参与的社区良性管理方法对于创造所有权感至关重要。灌溉用户和决策者应考虑最小化盐度积聚的可能措施,从而以可持续的方式增加农业生产力。

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