Applying results of the chemical analyses in determining groundwater quality for drinking, agricultural and industrial uses: The case study Rafsanjan plain, Iran

Based on chemical analyses, the quality of ground waters for drinking, agricultural and industrial purposes was determined in Rafsanjan Plain-Iran. Samples for analyses were taken from 22 wells in 2012. Because of high water hardness and total dissolved solids content, water was found to be unsuitable for drinking purposes. Water quality for agriculture was determined with the use of the Wilcox method. Among the analysed water, 10.33% were attributed to C3-S1 class (high electrolytic conductivity and low sodium adsorption ratio), 59.5% to class C4-S1 (very high EC and low SAR) and 30.17% to class C4-S2 (very high EC and medium SAR). 89.67% of studied wells were unsuitable for agriculture. Because of corrosive water properties all but two wells on Rafsanjan Plain were undesirable for use in the industry. The results of qualitative analyses were presented in GIS and in databases to support making decision and management of groundwater on Rafsanjan Plain.

Assessment of Resilience of Pistachio Agroecosystems in Rafsanjan Plain in Iran

This study assessed the resilience of pistachio production systems in the Rafsanjan plain in Iran using an index of behavior-based indicators. One-hundred fifty pistachio orchards located in five major production areas were studied in 2016. The data was subjected to three-step multi-criteria analysis, including (i) normalization and aggregation; (ii) determination of the weights representing the priorities for each criterion and evaluation of the performance of each indicator; and (iii) comparison. The results showed that the study areas had problematic statuses regarding the indicators of membership in grassroots organizations, innate abilities, water sources, production stability, and insurance. They had critical or moderate statuses concerning the indicators of use of organic fertilizers, use of pesticides, soil fertility index, water-use efficiency (kg/m3), trust in government, access to advisor services (extension), on-the-job training, and diversity of marketing. They had positive levels for the indicators of productivity, diversity of cultivars, diversity of on-farm practices, and exchange of information. We recommend the enhancement of the transformability capacity in PPSs by changing the focus from optimal states and the determinants of maximum sustainable yield (MSY paradigm) to adaptive resource management that includes developing participatory platforms for collaboration of usage of water resources.