ASSESSMENT OF RADIATION EXPOSURE LEVEL IN BLACKSMITHING WORKSHOP IN GOMBE, GOMBE STATE
DOI:
https://doi.org/10.33003/fjs-2020-0404-270Keywords:
background radioactivity, equivalent dose, effective dose and excess lifetime cancer riskAbstract
Measurement of terrestrial background ionizing radiation of blacksmith workshops of Gombe State, Nigeria was carried out using well-calibrated Geiger-Muller counter meters and a meter tape. The measured average exposure rate of two line-sections are 0.018±0.002 and 0.017±0.002 mRh-1. Estimated equivalent dose rates for the two line-sections are 1.50 and 1.45 mSvy-1. The average absorbed dose rates estimated in line-section one and line-section two are 154.94 and 149.97 nGyh-1 respectively. Annual effective dose equivalent (AEDE) of 0.48 mSvy-1 was obtained for outdoor exposure in line-section one while in line-section two, AEDE was 0.23 mSvy-1. The calculated mean excess lifetime cancer risk values for the blacksmith workshop sections are 0.83x 10-3 and 0.80 x 10-3. The obtained values for background ionizing radiation in the line-sections of blacksmith workshop were above the recommended standard limit by ICRP while the absorbed doses (D) were above the recommended value and AEDE calculated in two line-sections of blacksmithing workshops were within the safe values this implies that blacksmithing activities in these areas may not influence the doses received by public. The excess lifetime cancer risk (ELCR) estimated were higher than their world permissible values of 0.29 x 10-3 respectively. The calculated dose to organs showed that the testes have the highest organ dose of 0.153 mSvy-1while liver has the lowest organ dose of 0.086 mSvy-1. This result shows that exposure to
References
Abadie A (2003). Semi-parametric Instrumental Variable Estimation of Treatment Response Models. Journals of econometrics. 113: pp 231-263
Ayanwale, A.B, and Alimi T (2004): The Impact of the National Fadama Facility in Alleviating Rural Poverty and Enhancing Agricultural Development in South-Western Nigeria. Journal of Social Science.Vol.9 (3): pp 157 – 161.
Akande T. (2001). An overview of the Nigerian Rice Economy, the National Institute for Social and Economic Research (NISER), Ibadan. https://www.google.com/overviewoftheNigerianRiceEconomy.
Awotide, B.A. Fashogbon, A and Awoyemi, T.T (2015) Impact of Agro-Industrial Development Strategies on small holder Rice Farmers Productivity, Income and Poverty: the case of contract Farming in Nigeria. A Paper Presented at the International Conference of the Center for the Studies of African Economies (CSAE) 22-24th, March 2015
Bello A. (2004).“Nigeria Imported 700 Million Rice in 2003 Federal Minister of Agriculture and Rural Development†in Nigerian Tribune Newspaper, Monday 7th June.
Balogun O.S. (2016) Effect of Agricultural Transformation on the Productivity and Poverty Status of Rice Farmers in Kano Nigeria. A PhD dissertation submitted to the Department of Agricultural Economics and Rural Sociology, Ahmadu Bello University Zaria, Nigeria.
Cadoni P and Angelucci F., (2013). Analysis of Incentives and Disincentives for Rice in Nigeria. Technical Notes Series, MAFAP, FAO, Rome.
Caliendo, M., and Kopeinig, S. (2008) Some Practical Guidance for the Implementation of Propensity Score Matching. IZA Discussion Paper No. 1588, University of Cologne. Central Bank of Nigeria (CBN), 2010, Statistical Bulletin
Daramola, B. (2005): Government Policies and Competitiveness of Nigerian Rice Economy. A Paper presented at the `Workshop on Rice Policy & Food Security in Sub-Saharan Africa’ Africa rice (WARDA), Cotonou, Republic of Benin, November 0709, 2005.
Diagne, A., S. A. Adekambi, F. P. Simtowe and G. Biaou, (2009) The Impact of Agricultural Technology Adoption on Poverty: The Case of Nerica Rice Varieties in Benin. A shorter version of the paper being presented as contributed paper at the 27th Conference of the international Association of Agricultural Economists,August16-22, 2009 Beijing, China.
Foster, E., (2003). Propensity Score Matching. An Illustrative Analysis of Dose Response. Lippincott Williams & Wilkins, Inc. Journal of Medical Care, 41(10): pp 1183-1192
Foster, J., Greer, J. & Thorbecke, E. (1984). A Class of Decomposable Poverty measures. Econometrica 52 (3): pp 761–65.
Haggablade, D. (2004). Africa Agricultural Pest Performance, Future Imperatives in Building on Success in Africa Agriculture. International Food Policy Research Institute, Vision 2020 Focus p.12
Izuchukwu, O., (2011). Analysis of the Contribution of Agricultural Sector on the Nigerian Economic Development. World Review of Business Research, 1(1). Pp 191-200.
Lee M J. (2005). Micro-Econometrics for Policy, Program and Treatment Effects. Advanced Texts in Econometrics. Oxford University Press, Oxford.
Mendola M. (2007). Agricultural Technology Adoption and Poverty Reduction: A Propensity–Score Matching analysis for Rural Bangladesh. Food policy 32(1): pp 372-393.
National Bureau of Statistics (NBS) 2004 issues
National Bureau of Statistics (NBS) 2007 issues.
Okoruwa V. O.; M. A. Y, Rahji and Ajani O, (2007).Rice and Maize Stratification Project in Nigeria.Draft Report
Omonona B.T (2009): Quantitative Analysis of Rural Poverty in Nigeria International Food Policy Research Institute (IFPRI); NSSP Background Paper 9
Ravallion, M.(2005) Evaluating Anti-poverty programs. World Bank Policy Research Working Paper 3625. The World Bank, Washington, D.C. Research on Livelihoods. Good practices from CIMMYT. Impacts Targeting and Assessment (ITA) Unit. Mexico
Sangari D.U (2006). An Evaluation of Water and Land Uses in Kano River Project Phase 1 Kano State. Journal of J. Appl. Sci. Environ. Manage.11 (2). pp 105 - 11
Spencer, D. A. Dorward, G. Abalu, Dayo P. and Ogungbile D (2006). Evaluation of Adoption of Nerica and Other Improved Upland Rice Varieties Following Varietal Promotion Activities in Nigeria. A Study for the Gatsby and Rockefeller Foundations, Final ReportSunday B.A and Aya E.A (2009) Determinants of fertilizer
use among small-holder farmers in Wetland Region of Cross River State Global Journal of Agricultural Sciences 8 (2):195-201.
Sunday B.A.,Edet. J.U and Aya. E.A.,(2010), Fertilizer–manure Substitution Among Arable Crop Farmers in Akwa Ibom State: Empirical Evidence. Global Journal of Agricultural Sciences 9(1): pp 37-40
Wanyama J.M., Mose L.O., Rono S.C and Masinde A.A.O (2009), Determinants of Fertilizer Use and Soil Conservation Practices in Maize Based Cropping System in Trans Nzoia District, Kenya. A Publication of Kenya Agricultural Research Institute, Kitale.
World Bank (2008) World Development Report. Agriculture for Development.wwwworldbank.org/wdr.(2008).
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