Dataset on comparing the corrosion indices of alum and ferric chloride coagulants with phosphate dose elevation

The aim of this data was to assess and compare the corrosion indices of alum and ferric chloride coagulants in conventional coagulation process of water with elevation of phosphate dose. After preparing synthetic water samples, jar experiments were performed with elevation of different phosphate doses using alum and ferric chloride coagulants. Then, corrosion indices of Ryznar and Langelier of water samples were calculated. The results indicated that the values of Ryznar and Langelier index in the experimental samples were 7 and less than zero, and the water conditions were under saturated. The corrosion and precipitation indices indicated that the water samples can be considered as corrosive waters. Keywords: Corrosion indices, Alum and ferric chloride coagulants, Wate

Experimental data on the adsorption of Reactive Red 198 from aqueous solution using Fe3O4 nanoparticles: Optimization by response surface methodology with central composite design

The aim of this study was to evaluate the efficiency of Fe3O4 nanoparticles for Reactive Red 198 adsorption. The adsorbents were characterized by SEM and XRD. In this dataset, the influence of Reactive Red 198 dye concentration, solution pH, adsorbent dosage, and contact time on Reactive Red 198 dye adsorption by Fe3O4 nanoparticles was tested by central composite design (CCD) under response surface methodology (RSM). The Fe3O4 nanoparticles adsorbent was prepared by chemical co-precipitation. The process efficiency was achieved in optimal conditions including pH=7, adsorbent dosage equal to 0.5 g/L, initial dye concentration of 100 mg/L, contact time equal to 30 min, 88%. Overall, the data offer a facile adsorbent to remove Reactive Red 198 dye from aqueous solutions. Keywords: Reactive Red 198, Adsorption, Nanoparticles, Composite desig

The experimental data of investigating the efficiency of zinc oxide nanoparticles technology under ultraviolet radiation (UV/ZnO) to remove Acid – 32 – Cyanine 5R from aqueous solutions

The aim of this data was to evaluate the efficiency of zinc oxide nanoparticles plus ultraviolet radiation (UV/ZnO) technology to remove Acid – 32 – Cyanine 5R. The effect of optimal parameters including initial pH (5,10), contact time (2–20 min), initial dye concentration (0.5–2 mg/L), and zinc oxide dosage (0.1 and 0.2 g/L) was investigated. The data showed that under alkaline conditions (pH = 10) and 0.2 g/L of ZnO nanoparticles, the maximum dye removal efficiency was observed under UV/ZnO process conditions. Furthermore, with the increase in Acid – 32 – Cyanine 5R dye concentration, the removal efficiency of the dye diminished, while with prolongation of the radiation time, the removal efficiency increased. In the presence of ultraviolet radiation, there is a need to longer time and higher radiation intensity for complete removal of the dye. However, in the presence of ZnO nanoparticles alone, around 5–10% of the dye is removed. The highest removal efficiency of Acid – 32 dye was through radiation by ultraviolet lamp 150 W at an initial dye concentration of 1 mg/L, in pH 5 and 10, respectively, at 98.5% and 99% respectively. On the other hand, through hybrid use of UV/ZnO, within a shorter time, complete removal (100%) is achieved. Generally, use of UV/ZnO process can be utilized as a suitable method for dye wastewaters treatment. Keywords: Acid – 32 – Cyanine 5R, Zinc oxide nanoparticles, Ultraviolet radiation, Aqueous solution

Experimental dataset on adsorption of Arsenic from aqueous solution using Chitosan extracted from shrimp waste; optimization by response surface methodology with central composite design

The aim of data was to evaluate the efficiency of chitosan extracted from shrimp waste for Arsenic adsorption and optimization by response surface methodology (RSM) with central composite design (CCD). The data showed that, with increasing contact time, the amount of adsorption increased and the optimal contact time was about 60 min. With increasing pH decreased adsorption, although this reduction was not significant. The optimum pH was obtained at 4.41. The average amount of adsorbent capacity was also about 1.3 mg/g. Overall, chitosan extracted from shrimp waste could be considered as an efficient material for the adsorption of Arsenic from aqueous solution. Keywords: Chitosan, Arsenic, Aqueous solution, Adsorptio

Dataset on investigating an optimal household waste management in GIS environment and quantitative and qualitative analysis in Bumehen city, Tehran, Iran

The present data was carried out based on macro policies of the municipality in order to optimize the waste collection and transportation system in the city of Bumehen. The data of this research, the average weights, time taken for collection and transportation of municipal solid waste (MSW) was measured and each of these criteria was calculated and evaluated from environmental and time perspectives under the current management system. Then, data collection, identification of the general characteristics of the region and the type of waste management were conducted using field studies and GIS software was later used to generate maps of classes, route type, per capita waste generation. In the next steps and based on information such as density, population, waste generation capacity, available routes and existing route types, number, type and capacity of tanks, the site of temporary transfer stations was determined and the appropriate routes were designed for the garbage trucks. The data showed that distance from urban space, as a physical criterion, and noise pollution, as an environmental criterion, in the selection of urban waste transfer station of a relative weight of 0.594 is the most important indicator for the construction of a waste transfer station. Also, the qualitative analysis of the dry wastes of the city of Bumehen showed that plastics, cardboard and paper were 8.6%, 8.6% and 8.3% respectively, of the highest amount of waste the city Bumehen formed. Keywords: Household waste, Storage, Collection, Transfer, GIS, Bumehe

Data on investigating the quantitative and qualitative status of effluent in a petrochemical complex in Iran

The aim of this data was investigating the quantity and quality of the produced effluent by different petrochemical industry units in Iran and comparison of effluent with the present standards. In the present data, 5 effluent channel of the complex with interval of 12 h (in two shifts) were sampled and 28 physical and chemical parameters were analyzed according to the standard methods. These parameters are pH, Temperature, DO, Conductivity, Color, TDS, TSS, TP, PO43−, Oil, BOD5, COD, Turbidity, TKN, Fe, Ca2+, Mg2+, Cl−, SO42−, Si4+, CO32−, HCO3, NO2−, NO3−, NH3, Na, K+, Mn2+. Then, the average of each parameter was obtained for each channel, and finally, values of these parameters were compared with the standard set by Iranian Environmental Protection Agency for discharge to surface water resources. Gathered Data showed that many of these parameters, including Oil, BOD5, COD, Turbidity, PO43−, SO42−, TSS, in effluent of industrials are higher than the permitted amount. Therefore, regarding discharge of the to the surface water (seawater) and in accordance with Environment Protection Agency standards for effluent disposal, it should be purified to about 90% prior to discharge. Due to high concentration of solutes in petrochemical wastewater, it is not possible to use it for agricultural purpose. In this data, due to ethical considerations, we did not mention the name of petrochemical complex. Keywords: Wastewater, Environmental standards, Petrochemical complex, Industrial effluen

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

Evaluation of Air Quality based on Air Quality Index in Kerman City, 2015

Background: Air pollution and its health effects is a principal challenge in Iran. One of the effective measures to control air quality is to determine the actual amount of pollutants and describe the air quality in comparison with standard conditions. The main objective of this study was to evaluate the air quality in Kerman based on Air Quality Index (AQI) and to determine the responsible pollutant in polluted days during April 2015 to March 2016. Materials and Methods: In this cross-sectional study, the air pollutants concentration data were obtained from Kerman environmental protection agency. Then, the AQI values were calculated based on the levels of the criteria pollutants, i.e., CO, NO2, SO2, PM10, PM2.5 and O3. Based on AQI levels, the air quality was classified into six groups including good, moderate, unhealthy for the sensitive people, unhealthy, very unhealthy and dangerous. Results: During the studied year, the air quality in 7%, 60%, 29% and 4% of the days, in which the pollutants concentrations were measured, was in clean condition, healthy conditions, unhealthy conditions for sensitive groups and unhealthy condition, respectively. The best and worst air quality conditions were observed in January (in cold season) and April (in warm season), respectively. PM2.5 was the responsible pollutant for air pollution in Kerman. Conclusion: The results showed that the main responsible pollutant which causes air pollution in Kerman was particulate matter. This situation may be originated from the local and regional dust storms, especially from south-west and Sistan regions. Therefore, the essential actions must be taken to control such pollution and to minimize the community exposure to this pollutant

Experimental data of designing an optimal system for storage, collection and transfer of household waste in the GIS environment: A case study of Tehran, district 22, Iran

This study was conducted to correctly manage the system of storage, collection and transfer of wastes in district 22, Tehran. After reviewing existing methods, an optimal system was designed in the GIS environment and appropriate solutions were suggested. Analytical Hierarchy Process (AHP) method was used. After extracting result criteria, these criteria were provided to 15 experts and managers by means of a Delphi questionnaire. Screening of the criteria was done using the criterion importance graph; a necessary condition to apply criteria and sub-criteria, is having at least half the numerical value of each vertical and horizontal vector. The results of the study showed that the most important criterion associated with the selection of waste transfer station is ''distance from residential houses'' with a final weight of 0.341. ''Suitable traffic conditions'' and ''lack of noise pollution'' are the next important criteria with weights of 0.259 and 0.118, respectively. Finally, ''non-destruction of recreational facilities'' was chosen as the least important (weight of 0.03). Transfer in this district is also 100% mechanized. At the district level, there are 10 garbage trucks, of which 7 collect during night and 3 during day. Given per capita of the district, it takes about 10 min to collect each ton of waste. In general, in order to investigate and plan specific methods in the study district, using Geographic Information System, the location of reservoirs in residential and commercial districts has been determined and suggested with a coefficient of 0.75. Keywords: Household waste, Storage, Collection, Transfer, GI

Adsorptive removal of noxious cadmium from aqueous solutions using poly urea-formaldehyde: A novel polymer adsorbent

Cadmium is a heavy metal toxic that enters water resources through industrial, household, agricultural waste and non-sanitary landfill of urban and industrial wastes. Pollution of water resources by cadmium increases incidence of diseases including Itai-Itai, kidney disorders, cancer, chromosome effects and kidney tubular damages in low exposures. The aim of this study is to study the efficiency of a new poly urea-formaldehyde adsorbent in the removal cadmium ions from aqueous solutions. The effect of different variables such as initial pH, contact time, initial concentration of cadmium and test of real wastewater samples were evaluated. In addition, laboratory data of cadmium adsorption by urea-formaldehyde adsorbent were matched to Langmuir, Freundlich and Temkin isotherm models. The results of the study showed that maximum adsorption capacity obtained by Langmuir model was 76.3 mg/g at pH = 5.5. Laboratory adsorption data matched mostly by Freundlich isotherm model (R2 =0.999) which indicates that adsorption of cadmium ions on heterogenic surfaces of poly urea-formaldehyde happens by chemical adsorption mechanism. Generally, the results of the study showed that new poly urea-formaldehyde adsorbent can be efficiently used to remove highly concentrated cadmium ions from aqueous solutions. Keywords: Poly urea-formaldehyde, Cadmium, Adsorption, Aqueous solution