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Introduction of fuel hydrocarbons and inorganic compounds (heavy metals) into the soil, resulting in a change of the soil quality, which is likely to affect use of the soil or endangering public health and ground water. This study aimed to determine a series of parameters to remediation of TPH and heavy metals contaminated soil by non-ionic surfactants- chelating agents washing process. In this experimental study, the effects of soil washing time, agitation speed, concentration of surfactant, chelating agent and pH on the removal efficiency were studied. The results showed that TPH removal by nonionic surfactants (Tween 80, Brij 35) in optimal condition were 70–80% and 60–65%, respectively. Addition of chelating agent (EDTA) significantly increases Cd and Pb removal. The washing of soil by non- ionic surfactants and EDTA was effective in remediation of TPH and heavy metals from contaminated soil, thus it can be recommended for remediation of contaminated soil.

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Background Environmental health monitoring and its effects on health are very important in health systems. Relationship between environment and health can be done by simplifying data in understandable indicators for people and policy-makers. The present study presents the general framework for formulating environmental health quality index for Iran. Methods This study was implemented through expert panel at two levels: indicator domain determination and domain specific variables selection. Domain specific variables were selected based on the Driving force-Pressure-State-Exposure-Effect-Action (DPSEEA) framework from the list of national and international variables. Results Seven environmental health issues [air quality, drinking water, sewage disposal, food, radiation management and housing and human settlements] were determined, and three variables were selected for air quality, 8 variables for water quality, 5 variables for sanitation, 1 variable for food quality, 3 variables for housing and human settlements, 4 variables for solid waste management and 3 variables for radiation management. Conclusions Environmental health indicators determination based on the causal effect model leads to a better understanding of the relationship between the environment and health by simplifying data in an understandable format for public and improves prioritization of policy-making in the environmental health. In this study, environmental health indicators for Iran were proposed.

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.