Data on groundwater quality, scaling potential and corrosiveness of water samples in Torbat-e-Heydariyeh rural drinking water resources, Khorasan-e-Razavi province, Iran

According to World Health Organization guidelines, corrosion control is an important aspect of safe drinking-water supplies. The data presented is physical and chemical parameters of drinking water in the rural areas of Torbat-e-Heydariyeh city, also to determine corrosion indices. This cross-sectional study has carried out with 188 taken samples during 2014 with 13 parameters, which has been analyzed based on standard method. Also with regard to standard conditions, result of this paper is compared with Environmental Protection Agency and Iran national standards. Five indices, Langlier Saturation Index (LSI), Ryznar Stability Index (RSI), Puckorius Scaling Index (PSI), Larson-Skold Index (LS) and Aggressive Index (AI), programmed by using Microsoft Excel software. Owing to its simplicity, the program can easily be used by researchers and operators. Parameters included Sulfate, Sodium, Chloride, and Electrical Conductivity respectively was 13.5%, 28%, 10.5%, and 15% more than standard level. The amounts of Nitrate, in 98% of cases were in permissible limits and about 2% were more than standard level. Result of presented research indicate that water is corrosive at 10.6%, 89.4%, 87.2%, 59.6% and 14.9% of drinking water supply reservoirs, according to LSI, RSI, PSI, LS and AI, respectively. © 2018 The Author

Assessment of prioritizing the effective factors on human resources effectiveness (Case study: Tehran Industrial Parks Organization)

Identifying the effective factors on human resources effectiveness can help management and leadership to obtain success, organization goals and fulfillment of high effectiveness and efficiency. Thus, they always have to survey the effective factors on effectiveness of these valuable and transformational resources. Effective factors on employee effectiveness have different aspects and varieties. For instance, Hay Group® model which is in order to compare organizations based on employee effectiveness. The model includes different factors located in two groups of ENGAGEMENT and ENABLEMENT. The main purpose of this study is to assess and prioritize effective factors on employee effectiveness in Tehran Industrial Parks. Furthermore, it is required to be surveyed and determined according to organizational properties and content dimensions of under study organization, and use of latent knowledge amongst organization experts (senior managers). This cross-sectional and descriptive- analytical research was performed in 2017. So, it is trying to achieve the purposes of study through interview, Delphi method, Multiple Criteria Decision-Making (MCDM) and Analytical Hierarchy Process (AHP). Keywords: Human Resources Management, Hay Group®, Effectiveness, Engagement, Enablemen

Ultraviolet radiation rate in Mashhad, Iran

Todays, Climate change can be effect on the intensity of ultraviolet (UV) radiation and cause of many human diseases. In this cross-sectional study, changes of the intensity of UV ray were associated with the changes in latitude and longitude, height, climatic conditions, natural and human-made artifacts. Given that the highest radiation intensity was at the beginning of the summer, the radiation rate of UV ray in Mashhad was measured in the summer using a Hagner radiometer, the UV-A model. The radiation rate of the UV ray was determined in 2000 stations, which were 5 km far from each other. Data were analyzed using SPSSv16 software, T-test, and ANOVA tests. The results of this study showed that the radiation rate of UV ray in Mashhad was 0.49±0.143 mSv per year. The findings showed that latitudinal and longitudinal changes did not have a significant effect on the intensity of UV radiation (P > 0.001). The changes in the height above the sea level influenced the irradiance rate of UV and increasing the height above the sea level raised UV radiation (P < 0.001). Human artifacts significantly changed the rate of UV radiation (P < 0.001). Cloudy, semi-cloudy and sunny conditions had the most effects on UV radiation (P < 0.001). The results revealed that the average rate of UV ray in Mashhad was below the global standard (10 W/m2 for UV ray), and traffic in open air could not be risky. Keywords: Radiation, Ultraviolet, Ionizing radiation, Mashha

Data on health risk assessment of fluoride in water distribution network of Iranshahr, Iran

The main of this data was determine the concentrations and health risks of fluoride in 66 drinking water samples collected from villages of the Iranshahr city, Sistan and Baluchestan Province in Iran. Fluoride concentration was measured by the standard SPADNS method. Data indicated that fluoride concentration in drinking water ranged from 0.25 to 1.72 mg L−1 and average of fluoride concentration was 0.27 mg L−1. The mean estimated daily intake (EDI) values for fluoride in different groups of infants, children, teenagers and adults were 0.0021, 0.0151, 0.0107 and 0.0086 mg/kg, respectively. Also, risk assessment data indicated that hazard quotient (HQ) value of groundwater samples is more than 1 in 6% of groundwater samples in age groups of children and teenagers. Keywords: Drinking water, Fluoride, Risk assessment, Iranshahr, Ira

Data on health risk assessment to the nitrate in drinking water of rural areas in the Khash city, Iran

The main objective of this data was determination of the nitrate concentration and its health risk assessment in the drinking water resources. In the aim of this data article a number of 30 samples of nitrate concentration in drinking water resources were collected from villages of the Khash city, Sistan and Baluchistan province, Iran. The nitrate concentration was measured using a Spectrophotometer accordance standard methods for examination of water and wastewater. Data indicated that nitrate concentration in drinking water ranged from 6 to 35 mg/L (average 16.083 mg/L). The mean EDI values for nitrate in different groups of infants, children, teenagers and adults were 0.1287, 0.9114, 0.6433 and 0.5155 mg/Kg, respectively. The findings of data showed that HQ value was less than 1 in 96% of samples in age groups of infants, children, teenagers and adults. Keywords: Risk assessment, Nitrate, Drinking water, Khash, Ira

Data on estimation for sodium absorption ratio: Using artificial neural network and multiple linear regressions

In this article the data of the groundwater quality of Aras catchment area were investigated for estimating the sodium absorption ratio (SAR) in the years 2010–2014. The artificial neural network (ANN) is defined as a system of processor elements, called neurons, which create a network by a set of weights. In the present data article, a 3-layer MLP neural network including a hidden layer, an input layer and an output layer had been designed. The number of neurons in the input and output layers of network was considered to be 4 and 1, respectively, due to having four input variables (including: pH, sulfate, chloride and electrical conductivity (EC)) and only one output variable (sodium absorption ratio). The impact of pH, sulfate, chloride and EC were estimated to be 11.34%, 72.22%, 94% and 91%, respectively. ANN and multiple linear regression methods were used to estimate the rate of sodium absorption ratio of groundwater resources of the Aras catchment area. The data of both methods were compared with the model׳s performance evaluation criteria, namely root mean square error (RMSE), mean absolute error (%) and correlation coefficient. The data showed that ANN is a helpful and exact tool for predicting the amount SAR in groundwater resources of Aras catchment area and these results are not comparable with the results of multiple linear regressions. Keywords: Groundwater quality, SAR, Aras, Neural network, Multiple linear regressio

Data on evaluation of AQI for different season in Kerman, Iran, 2015

The purpose of this data, was to evaluate the air quality index of Kerman city in different season of 2015. The data showed that the PM10 and O3 were highest in the winter season and PM2.5, CO, SO2 and NO2 in the spring season as the air quality indexes. The highest number of unhealthy days was observed in spring in relation to PM2.5 and PM10 pollutants. The data showed that 33 and 9 days of the spring season had unfavorable conditions in relation PM2.5 and PM10 pollutants respectively. Therefore, the pollutant responsible for air pollution in Kerman was PM2.5. By comparing the air quality index in different seasons of 2015 in terms of different pollutants, it was found that in most of the seasons, Kerman has a desirable air quality index. Keywords: Air pollution, AQI, Season, Kerman, Ira

Data on investigating the nitrate concentration levels and quality of bottled water in Torbat-e Heydarieh, Khorasan razavi province, Iran

The human body is primarily water and healthy drinking water is vital to human life. Today, the bottled-water industry has been widely developed in most countries and more than 150 several brands of bottled water are produced in Iran. Considering the increasing consumption of bottled water and its potential for contamination with harmful chemical and microbial agents such as nitrate, the aim of this study was to assess the nitrate concentration and also the microbial quality of bottled water in a number of brands produced in the Torbat-e Heydarieh city in 2017. In present descriptive-analytical research, random sampling (80 samples) was done by collecting 1.5 l bottled water with different production dates from 20 factories. These samples were collected in four different seasons. Measurement of nitrate concentration and microbial quality including total and fecal coliforms, were performed according to the Standard Methods for the Examination of Water and Wastewater. The results indicated that, in general, the mean concentration of nitrate in all samples was range 0.6–16 mg/L and all samples are within the national standard of Iran (less than 50 mg/L) and international standards. Also, total coliforms and fecal coliforms in any of the studied samples were zero. Keywords: Bottled water, Nitrate, Microbial quality, Torbat-e Heydarieh, Ira

Formation of disinfection by-products and fungal contamination data in public swimming pools: A case study in Gonabad, Iran

Existence of fungi and disinfection by-products (DBPs) in public swimming pools water are dangerous since it can seriously affect on health of swimmers. This data study aimed to determine the fungi contamination and DBPs concentration including trihalomethanes (THMs), haloacetic acids (HAAs), halamines and cyanogen halides and haloacetonitriles (HANs) of swimming pools (chlorine based) in Gonabad County, Iran. So, the fungal load and DBPs concentration were investigated in two swimming pools in the middle of spring of 2017 by collecting a number of 9 water samples and 9 samples of lateral facilities of each pool by membrane filtration technique and sterile carpet. The DBPs concentrations were measured by gas chromatograph technique. The results showed that the pools were contaminated with Dermatophyte (trichophyton mentagrophytes and epidermophyton flucosomes), yeasts, and more with opportunistic saprophytic fungi. 24.8%, 22.7%, 16.9%, and 11.4% saprophytic fungi were separated from pool side, locker room, pool water, and shower positions, respectively. 7.4% and 3.2% of yeast fungi as well as 0.23% and 0.2% of dentofacies of causative agents of tinea were separated from the pools water and showers as well as locker room and shower positions, respectively. According to the data, halamines and cyanogen halides had the highest concentrations, followed by HAAs, THMs and HANs respectively. Among the halamines and cyanogen halides, HAAs, THMs and HANs, trichloramine acid was the most dominant species, followed by trichloroacetic acid and dichloramine, respectively. Keywords: Swimming pools, Disinfection, Fungi contamination, DBPs, HAAs, THMs, HAN

Effect of land use changes on non-carcinogenic health risks due to nitrate exposure to drinking groundwater

This study aimed to determine the effect of land-use changes on the non-carcinogenic health risk of nitrate ion exposure of underground drinking water resources in Shiraz (Iran). To this end, 175 chemical samples for the nitrate analysis were regularly taken from 35 drinking water wells of Shiraz from 2013 to 2017, and their results were zoned using GIS. Hazard quotient (HQ) induced by nitrate ion exposure was determined in four age groups: infants, children, adolescents, and adults. Area changes of four types of land-use, including residential, agricultural and green space, industrial, and bare land within a radius of 400 m of drinking water wells, were determined using the GIS and Google Earth software. Then, all data was imported to Matlab 2018 for statistical analysis. The results showed that mean nitrate concentration increased by 2.5 mg L-1 from 2013 to 2017. According to the zoning map, 5 and 11.4% of the area in 2013 and 2017, respectively, exceeded the drinking water standard set by nitrate (i.e., 50 mg/L). Air temperature and precipitation variations also influenced nitrate concentrations and HQ changes (Rtemperature = 0.67). Children's age group was the most vulnerable, and during the study period, this vulnerability was an increasing trend, so that the HQ from 0.93 in 2013 to 0.97 in 2017 has increased. The rate of land-use changes in agricultural, industrial, bare, and urban was -1.8%, 1.3%, -4.6%, and 2.1%, respectively, and the highest correlation was observed between HQ and Diff.l residential land use (Rinfant = 0.55). According to the results, the most influential factor in HQ was air temperature (R = 0.66), and urban land-use change (R > 0.44). To sum up, this study's results showed that land-use changes, especially urban and residential development, significantly affect groundwater nitrate concentration and its degree of HQ. Moreover, increasing temperature and decreasing annual precipitation can also increase the severity of this risk.The results presented in this study are from the performed research projects at Behbahan Faculty of Medical Sciences (Research Intercept Code: 98067). Availability of data and materials All data generated or analyzed during this study are included in this published article.Peer reviewe