Investigating the salinity distribution using field measurements in the semi-arid region of southern Ethiopia

IF 3 4区环境科学与生态学 Q3 ENVIRONMENTAL SCIENCES

Environmental Monitoring and Assessment Pub Date : 2025-01-10 DOI:10.1007/s10661-024-13576-0

Gezimu Gelu, Katsuaki Komai, Chanako Dane, Alemnesh Ayza, Tuma Ayele

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Abstract

This study investigated the distribution of salinity and sodicity in the irrigated areas of Abaya Chamo. Representative water and soil samples were collected from different soil depths (0–30 cm and 30–60 cm). Sodium absorption ratio (SAR), electrical conductivity (Ec), pH, exchange sodium, magnesium, calcium, and potassium cations, and exchange sodium percentage (ESP) of the sampled sites were analyzed for soil salinity classification and severity analysis. The spatial analysis revealed predominant strongly saline (72%) and sodic (71.1%) conditions in the surface layer (0–30 cm), intensifying very strongly saline (78.7%) and sodic (71.9%) conditions at 30–60 cm depth. Combined saline-sodic conditions dominated both layers, increasing from 91.2% at the surface to 97.1% in the deeper layer, indicating severe agricultural limitations. The results show that soil in the catchments of Lakes Abaya and Chamo suffer from different salinity and sodium content classes. Therefore, appropriate remedial measures based on soil salinity and sodium content should be developed to achieve better reclamation, agricultural production, and land sustainability.

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利用实地测量调查埃塞俄比亚南部半干旱区的盐度分布

本研究调查了阿巴亚查莫灌区的盐度和碱度分布。在不同土层深度（0 ~ 30 cm和30 ~ 60 cm）采集具有代表性的水样和土样。通过对采样点的钠吸收比（SAR）、电导率（Ec）、pH、交换钠、镁、钙、钾阳离子和交换钠百分比（ESP）的分析，进行土壤盐渍化分类和严重程度分析。空间分析显示，表层（0 ~ 30 cm）以强盐水（72%）和钠盐（71.1%）为主，30 ~ 60 cm深度则以强盐水（78.7%）和钠盐（71.9%）为主。盐碱复合条件在两层中占主导地位，从表层的91.2%上升到深层的97.1%，表明严重的农业限制。结果表明，阿巴亚湖和查莫湖流域土壤具有不同的含盐量和钠含量等级。因此，应根据土壤盐分和钠含量制定适当的补救措施，以实现更好的复垦、农业生产和土地可持续性。

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来源期刊

Environmental Monitoring and Assessment 环境科学-环境科学

CiteScore

4.70

自引率

6.70%

发文量

1000

审稿时长

7.3 months

期刊介绍： Environmental Monitoring and Assessment emphasizes technical developments and data arising from environmental monitoring and assessment, the use of scientific principles in the design of monitoring systems at the local, regional and global scales, and the use of monitoring data in assessing the consequences of natural resource management actions and pollution risks to man and the environment.