California is severely exposed to drought and damage due to the climate change and drought belt, which has a major impact on agriculture. So, after the drought crisis, there are various reactions from farmers. The extent of the damage caused by the socioeconomic, environment and the extent of the resistance of farmers to this crisis is manifested in a variety of ways. Recognizing the population’s resilience and the involved human groups is a tool for preventing a catastrophe-based increase in life-threatening areas in high-risk areas. Sometimes the inability to manage this phenomenon (especially under the climate change) leads to farmers’ desertification and agricultural land release, which itself indicates a low level of resilience and resilience to the crisis. The recent drought under the climate change condition in California and the severity of the damage sustained by farmers continue to be vulnerable. The present study seeks to prioritize and prioritize resilience of farmers to the crisis under the climate change. This study simulated drought condition with using PDSI value for current and future time period. In order to calculate PDSI values, the climatic parameters extracted from CMIP5 models and downscaled under the scenario of RCP 8.5. Also in order to understand the resilience of the agriculture activities under the climate change, this study was performed using statistical tests and data from the questionnaire completed in the statistical population of 320 farmers in the Tulare region in California. The findings of the research by t test showed that the average level of effective factors in increasing the resilience of farmers in the region is low. This is particularly significant in relation to the factors affecting government policies and support. So that only the mean of five variables is higher than the numerical desirability of the test and the other 15 variables do not have a suitable status for increasing the resilience of the farmers. Also, the results of the Vikor model showed that most of the impact on their resilience to drought and climate change was the development of agricultural insurance, the second important impact belongs to drought monitoring system, climate change and damage assessment, and variable of attention to knowledge is in third place of the important factor.

Climate change is an important environmental issue, as progression of melting glaciers and snow cover is sensitive to climate alteration. The aim of this research was to model climate alterations forecasts, and to assess potential changes in snow cover and snow-melt runoff under the different climate change scenarios in the case study of the Zayandeh-rud River Basin. Three cluster models for climate change (NorESM1-M, IPSL-CM5A-LR and CSIRO-MK3.6.0) were applied under RCP 8.5, 4.5 and 2.6 scenarios, to examine climate influences on precipitation and temperature in the basin. Temperature and precipitation were determined for all three scenarios for four periods of 2021-2030, 2031-2040, 2041-2050 and 2051-2060. MODIS (MOD10A1) was also applied to examine snow cover using temperature and precipitation data. The relationship between snow-covered area, temperature and precipitation was used to forecast future snow cover. For modeling future snow melt runoff, a hydrologic model of SRM was used including input data of precipitation, temperature and snow cover. The results indicated that all three RCP scenarios lead to an increase in temperature, and reduction in precipitation and snow cover. Investigation in snowmelt runoff throughout the observation period (November 1970 to May 2006) showed that most of annual runoff is derived from snow melting. Maximum snowmelt runoff is generated in winter. The share of melt water in the autumn and spring runoff is estimated at 35 and 53%, respectively. The results of this study can assist water manager in making better decisions for future water supply.

In this study, in addition to considering the two dominant climatic domains during extreme condition in the study area, temperature and humidity, and determining the correlation and correlation of these two factors with the prevalence of rotavirus gastroenteritis, a statistical model was proposed to predict the prevalence of the disease. Although this research, like many earlier studies, has been based on statistical data for a period of three years, according to its primary objectives, the short-term risk of the disease has been zoned using GIS software, and this point is new. The distinction between the present study and previous studies is considered. Previous studies did not consider the relationship between climate change and gastroenteritis GE. So, the purpose of this study was to investigate the correlation between the number of patients admitted in the hospital with symptoms of gastroenteritis GE and the monthly climatic variables of temperature and humidity of rotavirus, maximum, mean during extreme condition, at least in the city of Ahvaz, in three levels and its suburbs. The results showed a high prevalence of rotavirus infection in children in Ahvaz at low temperature. The maximum rotavirus activity was determined at 13°C. Also, the highest number of patients with symptoms of rotavirus gastroenteritis was observed in autumn and early winter. It is suggested that the results of this study should be considered in determining the timing of vaccination during extreme condition.

Reuse of wastewater for agriculture and green spaces purposes is significant. A mean yearly precipitation in Esfahan is 150 mm. The drinking water and agriculture usually used underground resources in the city. Gray water recycling is known as a suitable option today. Delivering all the water requirements of a home from refined water rises the cost of water. Whereas the essential water quality for garden, toilet and irrigation is less than drinking water. Therefore, the aim of this study is to analyze the evaluation of gray water and estimate the amount of recycle gray water which can use for drinking water with innovation method in Esfahan region in Iran. Previous studies did not measure the value of recycling gray water with new method of waste water treatment that can use for drinking purpose.  In this study, gray water in Esfahan city is measured and technical aspects of its recycling is examined. Because of the lack of referable guidelines and official technical reports, studies from other similar countries applied in this study and on the basis of which the amount of recoverable gray water was calculated. Evaluations indicates that the overall recovery of gray water in Esfahan saves nine million cubic meters of water. The price of the rial of this value established on water is 190 billion Rials. Given the lack of water sources in Esfahan, the recycle of gray water seems to be a good option, however more research is required to select a recovery strategy.Keywords: Gray water, sustainable water management, new technology, reuse of gray water

Urbanization and urban development, along with the acceleration of population growth, the development of industrial activities or the consumption of fossil fuels has greatly increased the air pollution, with the consequences of it being, in the first place, a variety of diseases and respiratory illnesses, exacerbations of cardiovascular, pulmonary, skin diseases, etc. The inhabitants of cities are noticed. On the other hand, climatic parameters such as humidity, sunshine hours, temperature, and pressure and the amount of solar radiation increases the amount of pollutants in the atmosphere and increases the coefficient of their effect on humans and natural ecosystems. Therefore, by altering the composition of effective gases in the life of the earth's organisms and disturbing their balance, humans injure themselves and the environment, causing wide variations in the climate patterns of the earth, and on the other hand their health and well-being put at risk. In this paper, the relationship between climatic elements with the various diseases in Khoozestan province has been investigated (suspended PM). For this purpose, after the data collection, statistical calculations were carried out and the results were presented as tables and charts and the relationship between one variables with patients were examined. The results show that there is a significant and strong correlation between climatic elements such as temperature, precipitation with several disease.

The purpose of this research is to identify the heat waves of the South Sea of Iran and compare the conditions in the present and future. To reach this goal, the average daily temperature of 35 years has been used. Also, in order to predict future heat waves, the maximum temperature data of four models of the CMIP5 model series, according to the RCP 8.5 scenario, has been used for the period 2040-2074. In order to reverse the output of the climatic models, artificial neural networks were used to identify the thermal waves, and the Fumiaki index was used to determine the thermal waves. Using the programming in MATLAB software, the days when their temperature exceeded 2 standard deviations as a thermal wave were identified. The results of the research show that the short-term heat waves are more likely to occur. Heat waves in the base period have a significant but poorly developed trend, so that the frequency has increased in recent years. In the period from 2040 to 2074, the frequency of thermal waves has a significant decreasing trend, but usually with low coefficients. However, for some stations from 2040 to 2074, the frequency of predicted heat waves increased.

Isfahan industrial province with its numerous industrial estates in its area and consequently the amount of wastewater produced by these settlements is very difficult to deal with. Therefore, the need for proper wastewater treatment and efficient management of industrial waste water from the industrial estates of this province should be seriously addressed and followed up by the authorities. The purpose of this study is the feasibility of reuse of wastewater from industrial settlements for agricultural and irrigation purposes. The present study is a descriptive cross-sectional study. In this study, the average values obtained from the sampling and the results of the experiments on waste water from the industrial waste water treatment plant in Isfahan, 2017, have been used. Average values of BOD5, COD, TSS and so on were compared with the standards set by the Environmental Protection Agency and analyzed in Excel software. According to the results, the average values of COD, BOD5, TSS, SO4, pH and catalyst quality parameters were determined from wastewater effluents of 315,162,93,164 (mg / L), 8.3 and 32.5 (NTU) respectively. The results of the study show that the average values of the quality parameters examined from the effluent of the treatment plant other than BOD5 and COD are within the standard range and the limit for agricultural and irrigation purposes, which may lead to undesirable environmental performance of these two parameters.

Landslide can be defined as the mass movement of sloping slopes under the influence of mass gravity and its stimuli such as earthquakes, floods and flood plains. This phenomenon is one of the natural hazards that every year causes a lot of financial and financial losses in mountainous, rain-fed and seismic areas. Detection of time and the magnitude of landslides are necessary to understand the causes of landslide and to warn potential hazards. In this research, the amount of landslide displacement in Kermanshah province was evaluated by the characteristics of rainfall. To this end, a network of fixed points in and out of the slipping mass of 20 points was created to monitor the amount of displacement on different slip load users and the amount of displacement of each point in 5 time intervals using the Global Positioning System for two-dimensional GPS measurement. The results of the 511-day follow-up showed that the total horizontal displacement of the moving points in the 5 intervals measured at 1658 mm has a monthly displacement rate of 112 mm. Also, the total vertical displacement of moving points at the same time is 899 mm, with a monthly movement rate of 71 mm. Then, precipitation variances such as rainfall, rainfall, precipitation duration, maximum rainfall intensity in the intervals of 10, 20, 30 and 60 minutes and the average rainfall intensity were calculated and extracted for each of the 5 time periods. The drawing of the vectors of points on the topographic map of the area indicated that the direction of mass movement is in the direction of elevation gradient of the region. The results showed that only the precipitation severity with the landslide had a good correlation. The landslide movement had the highest correlation with average rainfall intensity (R = 0.85) and with maximum 30 minutes rainfall (R = 0.67), respectively, and other rainfall characteristics like amount, duration, and type of rainfall had not significantly correlated with movement of landslides.