The role of effective education on water resources management from the perspective of farmers in water scarcity Birjand plain

Document Type : Research Paper

Authors

1 PhD student, Department of Water Engineering, Faculty of Agriculture, Birjand University.

2 Associate professor, Department of Water Engineering, Faculty of Agriculture, University of Birjand, Birjand, Iran.

Abstract

one of the most important factors affecting the diffusion of innovations and new ideas in the agricultural industry is training farmers in the field of correct management of water resources in drought conditions. Therefore, the role of effective training on water resources management from viewpoint of farmers in water deficit condition in birjand plain, south khorasan province was investigated. the research method was causal – correlation. the population of the study consisted of farmers in birjand plain south khorasan province. the sample size was determined by using morgan table and was selected by random sampling method. the reliability of the questionnaire was calculated using cronbach 's alpha coefficient equal to 0.92 which indicates the reliability of the questionnaire. form and content validity of questionnaire was confirmed by a panel of faculty members of agricultural sciences and natural resources of birjand and agricultural jihad organization .this research aimed to prioritize the criteria( sub criteria) and sub – criteria) sub – criteria (using analytic hierarchy process) ahp) and network analysis (anp ). in order to analyze collected data, super decisions software, spss and expert choice software were used. the results showed that farmers who participated in agricultural water management in the field of agricultural water management, had significantly greater willingness, understanding, knowledge, commitment and belief in the field of agricultural water management and using new innovations. the results of this research can be used as an index to make management decisions to increase the participation of farmers in optimal management of resources.

Keywords


Amino, M. (2007). Geographic Information System (GIS) and Multi-Criteria analysis for sustainable tourism planning. A project submitted in fulfillment of the requirements for the award of the degree of Master of Science. Faculty of Built Environment.University Technology Malaysia.
Bukenya, J,O. (2000). Application of GIS in ecotourism development decisions: evidence from the Pearl of Africa. pdf, Accessed on 20th September, www.rri. wvu.edu/ pdffiles/ bukenya2012.
Boelense‚ D.‚ Greek‚ E.‚ and Ladia‚ G. (2008). Water resources I the aried realm. London avd Vew York: Rutledge‚ 32-35.
Donkoh‚ S. A.‚ Tiffin‚ J. R.‚ and Sirnivasan‚ C. S. (2011). Who adopts Green Revolution (GR) Technology in Gana?. International Journal of Agriscience‚ 1‚ 34- 44.
Dolisca. F. (2011). Factors influencing farmer’s participation in desert management programs: A case study from Haiti. Journal of Desert Ecology and Management, 236, 324-331.
Evans‚ R. W. (2004). Agricultural Water Manag, ent for coastal plain soils. North corolina cooperative extention service. 355.
Forouzani‚ M., and Karami‚ E. (2010). Agricultural Water poverty index and sustainability.
Agronomy for Sustainable Development‚ 31, 2, 415-431.
Milkova, M., Andreichikova, O., and Andreichikov, A. (2019). At the junction of mathematics andpsychology: cognitive orientation of the AHP/ANP and new perspectives of structuring complexity. International Journal of the Analytic Hierarchy Process, 11, 1, 1936-6744, https://doi.org/10.13033/ijahp.v11i1.611.
Rajabi Asadabadi, M., Chang E., and Saberi, M. (2020). Are MCDM methods useful? A critical review of Analytic Hierarchy Process (AHP) and Analytic Network Process (ANP). Cogent Engineering, https:// www. tandfonline. com/loi/ oaen20.
Saaty, T.L. (2015). The Neural Network Process (NNP): Generalization of the AHP and
ANP to the continuous case of neural firing. Pittsburgh, PA: RWS Publications.
Sarmiento, R., and Vargas-Berrones, K. X. (2018). Modeling the implementation of green initiatives: An AHP-BOCR approach. Cogent Engineering, 5, 1, 213-235.
Veldkamp, t.i.e., Wada, y., de Moel, h., Kummu, m., Eisner, s., Aerts, j., and Ward, ph. (2015). Changing mechanism of global water scarcity events: Impacts of socioeconomic changes and inter-annual hydro-climatic variability. Global Environmental Change, 32,18–29.
Vignola, R., Klinsky, S., Tam, J., and McDaniels, T. (2013). Public perception, knowledge and policy support for mitigation and adaption to climate change in Costa Rica: comparisons with North American and European studies. Mitigation andAdaptation Strategies for Global Change, 18(3), 303-323.
van Duinen, R., Filatova, T., Geurts, P., and van der Veen, A. (2015). Coping with drought risk: empirical analysis of farmers’ drought adaptation in the south-west Netherlands. Regional Environmental Change, 15, 6, 1081-1093.
Ying, x., Guang-Ming, Z., Gui-Qiu, C., Lin, T., Ke-Lin, W., and Dao-You, H. (2007). Combining AHP with GIS in synthetic evaluation of eco-environment quality-A case study of Hunan Province, China, Ecological Modeling, 209.
Zhou, SH., Herzfeld, T., Zhang, Y., and Hu, b. (2008). Affecting Farmers Decisions to
Adopt a Water-Saving Technology. Conadian Journal of Agricultural Economics, 3, 4,
51-61.