Assessment of dust crisis effects on different sectors of agricultural production in Khuzestan province using Strategic analysis- Analytical Hierarchy Process method (SWOT-AHP)

The dust storm has caused huge losses in Iran, especially in Khuzestan province. The agricultural sector of the province is no exception. The strategic analysis method is a useful analytical model for identifying the strengths, weaknesses, opportunities, and threats existing in the region to control the effects of the crises of the microspheres. Therefore, identifying the strengths, weaknesses, opportunities, and threats of the crises of the microstates on the agriculture sector of Khuzestan and developing appropriate strategies for providing management solutions are considered as the main goals of this research. A library study, a questionnaire, and interviews with experts (34 experts) were used to collect data. Components of internal factors including 10 strengths, 18 weaknesses, and external factors including 20 threats and 11 opportunities were determined. To determine the final weight of each point using the AHP method, the final weight of each factor was determined. The results of the study indicate that surface water and runoff waters for supplying the water of the wetlands of the region as the most important strongpoint with a final weight of 0.807, adverse climatic conditions (climate change and periodic drought) As the most important weakness with a final weight of 0.145, the implementation of optimal management plans for natural resources (wetlands, etc.) as the most important opportunity with a final weight of 0.765 and lack of international and national cooperation to cope with the microgravity, it was considered as the most important threat with a final weight of 0.140. Also, based on the results, the final score of the internal factor assessment matrix was 2.432 and the final score of the external factors evaluation matrix was 2.629. Finally, the defensive strategy was introduced as the main strategy of the research, from the final score of these matrices.