Electrical Geophysical method and GIS in Agricultural Crop Productivity in a Typical Sedimentary Environment

K. Ozegin, S. O. Salufu
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引用次数: 2

Abstract

ABSTRACT Accurate information about soil properties is required in plant growth and yield. Hence, the rising knowledge in the preservation of favourable soil properties is basically driven by its vital role in agricultural crop productivity. Electrical Resistivity Tomography (ERT) and GIS were used for site selection, soil suitability for agricultural use and topographical effect on soil properties distribution in Ambrose Alli University. Twelve traverses were conducted across the study area using Wenner array configuration. The least-square inversion method was adopted for the inversion model using RES2Dinver. Seven soil samples were collected from the selected site for soil test and grain analysis using IS standard in order to validate the ERT results. The results of the ERT gave resistivity signatures in the form of colour variations that depict the organic matter and mineral constituents of the soil. Soil in the valley side of the study area showed low resistivity signatures < 100 Ωm, slopy portion ranged from 100 to 600 Ωm, and soil at the top of the slope has resistivity values > 600 Ωm. GIS results generally classified spatial distribution of soil parameters across the area. Soil with low resistivity values < 100 Ωm has Organic Matter (OM): 4.27–4.80 %, Phosphorus (P): 50.23–54.22 mg/kg, Potassium (K): 290.0–340.0 cmol/kg, Total Nitrogen (TN): 62.20–65.11%, and pH: 6.8 to 6.9. Soil with resistivity values ranging from 100 to 600 Ωm has OM: 2.21–2.75%, P: 30.14–34.00 mg/kg, K: 100.2–107.2 cmol/kg, TN: 54.00–59.20%, and pH: 6.7–6.8. Soil with resistivity values > 600 Ωm showed lowest value ranges for OM: 0.51–0.61%, P: 10.20–15.20 cmol/kg, K: 37.20–40.20 mg/kg, TN: 10.20–15.20 %, and pH: 7.0 − 7.2. This study has shown that the study area with resistivity values < 100 Ωm would be most appropriate for high agricultural productivity as well as soil management.
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典型沉积环境下农作物生产力的电地球物理方法和GIS研究
植物生长和产量需要准确的土壤性质信息。因此,保护有利土壤特性的知识不断增加,主要是由于土壤在农业作物生产力中的重要作用。利用电阻率层析成像(ERT)和地理信息系统(GIS)对安布罗斯·阿利大学(Ambrose Alli University)土壤进行选址、土壤适宜性和地形对土壤性质分布的影响。使用温纳阵列配置在研究区域进行了12次穿越。RES2Dinver反演模型采用最小二乘反演方法。为了验证ERT的结果,在选定的地点采集了7个土壤样品,使用IS标准进行土壤测试和颗粒分析。ERT的结果以颜色变化的形式给出了电阻率特征,描绘了土壤的有机物和矿物成分。研究区谷侧土壤呈现低电阻率特征< 100 Ωm,坡面部分在100 ~ 600 Ωm之间,坡顶土壤电阻率值> 600 Ωm。GIS结果对整个区域土壤参数的空间分布进行了大致分类。低电阻率< 100 Ωm土壤有机质(OM): 4.27 ~ 4.80%,磷(P): 50.23 ~ 54.22 mg/kg,钾(K): 290.0 ~ 340.0 cmol/kg,总氮(TN): 62.20 ~ 65.11%, pH: 6.8 ~ 6.9。电阻率为100 ~ 600 Ωm的土壤,OM: 2.21 ~ 2.75%, P: 30.14 ~ 34.00 mg/kg, K: 100.2 ~ 107.2 cmol/kg, TN: 54.00 ~ 59.20%, pH: 6.7 ~ 6.8。电阻率> 600 Ωm的土壤,OM: 0.51 ~ 0.61%, P: 10.20 ~ 15.20 cmol/kg, K: 37.20 ~ 40.20 mg/kg, TN: 10.20 ~ 15.20%, pH: 7.0 ~ 7.2。研究表明,电阻率< 100 Ωm的研究区最适合农业高产和土壤管理。
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