kianfar payamani; Ebrahim Karimi Sangchini; iraj vayskarami; Mehran Zand
Abstract
IntroductionManaging a pervasive and effective phenomenon such as drought in different sectors of the economy requires close cooperation and careful planning. Lack of strategic drought planning and delays in decision-making have increased costs to reduce drought damage. The aim of this study was to develop ...
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IntroductionManaging a pervasive and effective phenomenon such as drought in different sectors of the economy requires close cooperation and careful planning. Lack of strategic drought planning and delays in decision-making have increased costs to reduce drought damage. The aim of this study was to develop strategic for drought adaptation using the SWOT model in Lorestan Province. Materials and methodsIn this research, the methods of reviewing sources and interviewing with a questionnaire were used in order to provide macro strategies to adapt to drought. For this purpose, the current status of ecological resources, environmental changes, economic sectors and their dependence on water resources, population and employment, management of ecological resources, organizations and institutions were analyzed, then by reviewing the upstream laws and documents, interview with resource managers, local and national decision makers, experts, published background and other available information identified the causes of problems and obstacles to drought management in the province. The statistical sample consisted of 27 experts and scientific and executive experts were selected. Scoring was done on two occasions by experts, and finally, by averaging the opinions of experts and scientific and executive experts, the weight of internal and external factors was determined. In the final stage, in addition to identifying important factors in each of the criteria of strength, weakness, opportunity and threat, necessary management strategies were determined based on the conditions of Lorestan Province through SWOT analysis. These issues were categorized in the form of environmental opportunities and threats and internal strengths and weaknesses, then analyzed by SOWT analysis approach and Delphi method. Results and discussionThe study of strength factors shows that the existence of companies and organizations with resource monitoring units in the province with a weight of 0.25 has a higher effectiveness and degree of importance among other factors. Lack of proper planning and organization for monitoring and evaluation of drought weighing 0.33 has a very high effectiveness among the factors of poor adaptation to drought in the province. Among the opportunities, the factor of technological advances in the field of precision agriculture with a weight of 0.1 have a very high effectiveness. The factor of endangering the livelihood of farmers in case of drought is the most effective among the studied factors of threats with a weight of 0.22. Factors of irrigation of lands in some areas with polluted water and gradual destruction of agricultural soil and population increase and as a result increase in demand for water with a weight of 0.02 were recognized as having the least effectiveness among the threats of drought adaptation in Lorestan Province. ConclusionAfter scoring using the Delphi method, it was found that the presence of faculties and centers of agricultural education and natural resources in Lorestan Province was recognized as the most important strength. But despite this strong point in the province, unfortunately, the lack or inappropriateness of available data and information for the purpose of monitoring and evaluating the effects of drought is known as the main weakness. According to these results, in the direction of the conservative strategy, the strategy of balancing aquifers with the priority of aquifers with a negative water balance was suggested. The government's support for water harvesting projects at the level of cities and villages and the monitoring of better water management in cities provide suitable opportunities to improve the ability of farmers to deal with the negative effects of drought. The final result has been the presentation of drought coping strategies for different regions of the province in the areas of surface and groundwater supply, irrigated and rainfed agriculture, urban and rural drinking water and river water environment.
Kianfar payamani; Eisa Solgi; Kazem Rangzan; Taher Farhadinejad
Abstract
Sediments can be sensitive indicators for monitoring contaminants in aquatic environments. Therefore, understanding the mechanisms of accumulation and geochemical distribution of heavy metals in aquatic systems and providing basic information for judging environmental health risks, spatial study of metal ...
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Sediments can be sensitive indicators for monitoring contaminants in aquatic environments. Therefore, understanding the mechanisms of accumulation and geochemical distribution of heavy metals in aquatic systems and providing basic information for judging environmental health risks, spatial study of metal concentrations in sediments and their comparison with non-contaminated bases is of great importance. One of the common methods of soil pollution assessment is the use of pollution factor index (CF). The calculation of this index requires determining the background of the elements under study. For this purpose, statistical methods based on mean and standard deviation of data are commonly used. Due to the skuwness of the distribution of geochemical data, the use of this parametric method is limited, so the use of methods resistant to outlier data can be proposed as an alternative approach. In the last two decades, the fractal method has been used to separate communities in data related to many disciplines of earth sciences. In order to evaluate the two mentioned methods, 770 samples of waterway sediments containing six metal elements of As, Cr, Cu, Ni, Pb and Zn were collected in an area that is located in the north of Khorramabad. The background of the elements was determined by both methods (statistical method resistant to outlier data and fractal method) and finally the CF index was calculated. This index based on statistical methods assessed at the intermediate level for arsenic, chromium, copper, nickel, lead and zinc 7.5, 0.8, 5.5, 0.5, 4.7 and 9.2 percent, respectively. For the mentioned elements based on fractal method, the medium level of contamination were 39%, 28.9%, 88.6%, 39.4%, 45.7%, 73.4% of the total sample, respectively. In addition, with the second method, 3% (copper), 0.1% (lead) and 4.3% (zinc) of the number of samples have been evaluated at a considerable level. The results showed that the use of statistical methods in determining the background of the elements, despite the selection of a statistical method appropriate to the distribution of data, has reduced the sensitivity of the pollution index and reduced the efficiency of the index in the separation of pollution classes. While the use of fractal method due to considering the spatial dimension (area) in separating different background communities from anomalies leads to better efficiency of CF index and thus improves regional pollution estimates.
