Due to the frequent drought periods, water consumption increase, and competition of different water-using sectors, the Hirmand catchment is in a critical water status in the Sistan region. This threat has been intensified in recent years. To cope with this problem, we must pay more attention to different types of water use such as virtual water as a water saving method. The present study calculates virtual water demand of agricultural products in the Sistan region in the cropping year of 2013-2014 using water evaluation and planning (WEAP) system. Furthermore, impacts of the implementation of the virtual water scenarios are predicted on water resources and consumption over the 2015-2030 period. Results show that tomato and alfalfa have less virtual water demand despite their high water requirements due to their high production yield. Furthermore, wheat and barley have the highest virtual water demand. Also, the results of the WEAP model reveal that in the virtual water scenario, the mean annual water demand is lower than the current account (61% for net efficiency, 17% for current efficiency). Consequently, unmet demand will be reduced about 383 million m3. Therefore, given the prevalence of drought in the region, it is appropriate to implement this scenario to protect water resources. Hence, it is highly recommended to orient planning and investment in agricultural development projects of the Sistan region with the concept of virtual water. Manuscript profile

Sistan region is one of the most important agricultural areas in the province of Sistan and Baluchistan. Therefore, given the heterogeneity in agriculture and recognizing these differences, the aim of this study was to obtain the level of development of agriculture in the Sistan region. To obtain this purpose two Fuzzy Analytical Hierarchy Process (FAHP) and the numerical taxonomy was used in a view of 20 indicators in the agricultural sector in the region. The required data was achieved by filling out the questionnaire certified experts and statistical yearbooks in the agricultural sector. Data analysis was used by Matlab and SPSS software. Results of numerical taxonomy showed that Markazi, Shibab and Poshteab sectors component parts were less developed. Also, Jazinak and Miyankangi are in the category sections were undeveloped. The results of Fuzzy Analytical Hierarchy Process (FAHP) model indicated that Markazi, Shibab and Poshteab sectors are in the first rank of development, in terms of agricultural indices in the region. Jazinak and Miyankangi are in the fourth and fifth ranking. Therefore, in general, it is clear that the level of development of agricultural in Sistan region isn’t in good condition. In this regard itis suggested that appropriate planning to promote agricultural development is on the agenda should be applied. Manuscript profile