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IJAIR NAAS Score : 3.99 (2016 - 2020)
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IJAIR NAAS Score : 3.99 (2016 - 2020)
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IJAIR NAAS Score : 3.99 (2016 - 2020)
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Submissions open
IJAIR NAAS Score : 3.99 (2016 - 2020)
"Submissions Open For Vol. 14,Issue 6, May - June, 2026"
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IJAIR NAAS Score : 3.99 (2016 - 2020)
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Journals Published by TimeLine Publication Pvt. Ltd.
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Submissions open
IJAIR NAAS Score : 3.99 (2016 - 2020)
"Submissions Open For Vol. 14,Issue 6, May - June, 2026"
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Volumes / Issues
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IJAIR NAAS Score : 3.99 (2016 - 2020)
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Journals Published by TimeLine Publication Pvt. Ltd.
IJECCE , IJEIR , IJAIR,
IJAIM , IJRAS , IJISM ,
IJIRES , IJASM , IJRIES,IJAHVS
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Submissions open
IJAIR NAAS Score : 3.99 (2016 - 2020)
"Submissions Open For Vol. 14,Issue 6, May - June, 2026"
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IJAIR NAAS Score : 3.99 (2016 - 2020)
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Estimation of Soil and Nutrient Loss Rates from Rill Erosion in Biu Town, Borno State, Nigeria
- Ibrahim Madu
- The loss of soil from land surfaces by erosion is widespread and reduces productivity of agricultural lands. Concurrently due to increasing human population, agricultural land expansion and exploitation, soil and nutrients (Nitrogen, Phosphorus, Potassium, Magnesium, Calcium and Sulphur) losses are the major environmental problem in Biu. This study was conducted to estimate annual losses of soil and nutrient due to rill erosion. There are six sites (Kigir 1, Kigir 2, Dam 1, Dam 2, Piku 1, and Piku 2) for this study. Consequently, the crop land was delineated to estimate soil and nutrient loss. At each site, six hectares of land were selected at random and one (1) soil sample was collected at crest, shoulder, backslope and fore slope in each hectare, making a total of 24 samples per site. The total number of samples (6 x24) is 144 for the six sites. Soil nutrient content was determined for the various sites. At each site a transect of 200 m by 100 m was selected at random and rill erosion features was observed along the corridors, in terms of length, depth and width. Physical and chemical properties of the soil samples collected were determined in the field and in the laboratory following standard procedures. The annual precipitation varied from 698 - 897.00mm, rainfall and runoff factor ranges from 447.57 - 536.43mm and erosivity ranged from 355.00 - 486.00 MJmmha-1 yr-1, respectively, across sites. Regression analysis was performed on some of the data in order to determine the relationship between dependent variable (outcome) and independent variable (predictors). Conceptual model that explains the rill erosion mechanics and theoretical framework of Revised Universal Soil Loss Equation version 2 (RUSLE2), was developed and tried in this work. The soil loss was quantified using field erosion measured soil loss. Developed empirical predictor model and RUSLE2, in this study. Soil loss varied from 395.72 - 629.53 kgha-1yr-1 across sites. The data generated was subjected to generalized linear model using statistix 10. Statistically different means at (p0.05) was separated using standard error (SE). The losses of organic matter ranged from 1.85 - 3.88kgha-1yr-1,nitrogen varied from 1.04 - 2.26kgha-1yr-1, phophorus ranged from 107 - 1.99kgha-1yr-1, potassium varied from 1.12 - 2.78kgha-1yr-1, calcium ranged from 1.19 - 2.48kgha-1yr-1, magnesium varied from 1.13 - 1.92kgha-1yr-1 and Sulphur ranged from 1.04 - 1, 94kgha-1yr-1, respectively. Water erosion in the form of rill erosion is severely affecting soil fertility management and crop production in the study watershed. Hence, effective integrated watershed management interventions and farmland management could combat soil erosion.
- Select Volume / Issue:
- Year:
- 2025
- Type of Publication:
- Article
- Keywords:
- Soil Erosion; Nutrient Loss; Precipitation; Erosivity; Erodibility; RUSLE2; Models; Sponsored by TET Fund
- Journal:
- IJAIR
- Volume:
- 14
- Number:
- 3
- Pages:
- 34-44
- Month:
- November
- ISSN:
- 2319-1473
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