Vol. 12(2), pp. 71-77, June 2024
https://doi.org/10.14662/arjasr2024210
Copyright 2024
Author(s) retain the copyright of this article
ISSN: 2360-7874
http://www.academicresearchjournals.org/ARJASR/Index.htm
 

Research paper

Development of Statistical Soil Quality Mapping Model in the Niger Delta for Improved Products and Service Efficiency in the Agriculture and Civil Engineering Sector

 

1 Obisue Edwin Ikechukwu, 2.Onwubuya Nwabudike and 3 Mr. Aderha O

 

1, 2 Dept. of Statistics, Delta state Polytechnic Otefe-Oghara) 3(Dept. of science Laboratory Technology, Delta state Polytechnic Otefe-Oghara)

 

Accepted 29 May 2024

Abstract

The study addresses critical concerns about soil quality and environmental degradation in the Niger Delta, a region significant for Nigeria's agriculture and natural resources. This research aims to create a comprehensive and functional soil map using robust statistical methods to enhance agricultural productivity and infrastructure development. Objectives: The primary objectives include assessing spatial variability in soil quality, understanding the relationship between terrain and soil characteristics, and developing functional soil maps that link soil quality to specific uses such as agriculture, construction, and erosion control. Methodology: The research employed a multi-step approach. Representative study sites were selected across seven states within the Niger Delta, where soil samples were collected and analyzed for primary properties (e.g., pH, organic matter, bulk density, soil texture, CEC) and secondary properties (e.g., heavy metal mobility, leaching potential). These data, integrated with terrain parameters, formed the basis for the soil quality mapping model. The research highlights the spatial variability of soil properties across the Niger Delta. The model incorporates key factors like soil texture, organic matter content, bulk density, CEC, and leaching potential to create a comprehensive Soil Quality Index (SQI). Results: The results revealed significant spatial variability in soil properties across the Niger Delta. the SQI ratings offer a tool for prioritizing areas that might benefit from improved soil management practices Delta, Akwa Ibom, and Cross River exhibited high functionality for agricultural yield.- Rivers, Delta, and Cross River showed high effectiveness for erosion control.- Akwa Ibom, Cross River, and Ondo were suitable for construction based on their soil texture, bulk density, and low heavy metal levels.- Delta, Akwa Ibom, and Cross River demonstrated high functionality for water regulation and carbon storage. Conclusion: This study successfully developed a functional soil map model that integrates critical soil properties and terrain features. The model serves as a valuable resource for environmental protection, agricultural productivity, and infrastructure development in the Niger Delta. The functional soil results provide crucial insights for stakeholders. Farmers can use these maps to enhance crop yields by identifying optimal soil conditions. Future research should focus on long-term impacts of land-use practices, site-specific soil management recommendations, and integrating climate change projections into soil health assessments.

 

Key words: Soil quality, functional soil maps, Niger Delta, spatial variability, land-use planning, sustainable development

 

How to cite this article (APA Style): Ikechukwu, O.E., Nwabudike, O., Aderha, O. (2024). Development of Statistical Soil Quality Mapping Model in the Niger Delta for Improved Products and Service Efficiency in the Agriculture and Civil Engineering Sector. Acad. Res. J. Agri. Sci. Res. 12(2): 71-77