Publications by authors named "Mohammad Ansarizadeh"

Littered wastes are one of the important problems in the urban environment that depends on the behavior of citizens. In this study, the perceived behavioral control of citizens and its relationship with waste littering behavior was investigated. In addition to this.

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Classification of the environmental status resulting from waste littering has significant importance in evaluating the efficiency of the cleaning system and also in identifying the most polluted areas and priority for pollution control programs. In recent decades, various indexes have been developed for this purpose, of which the Clean Environment Index is one of the most widely used in recent years. The aim of this study was to improve this index for a more accurate assessment of the environment pollution.

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Article Synopsis
  • 41 sediment samples were gathered from various land uses (industrial, urban, agricultural, and natural) along the northern Persian Gulf coast between November 2016 and January 2017 to analyze heavy metal concentrations.
  • The findings revealed that industrial areas exhibited the highest mean concentration of heavy metals (2300.24 mg/kg), significantly outpacing urban and natural sites, with predominant metals being Zn, Cu, and Pb.
  • Pollution classifications indicated that industrial sites were "highly-extremely polluted," urban areas were "unpolluted-moderately polluted," and agricultural regions were deemed "highly polluted," highlighting serious environmental concerns from heavy metal contamination.
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In this data article, we aimed to evaluate and compare the biological diversity and relative abundance of zooplankton communities in 3 different areas along the northern part of the Persian Gulf in 3 different seasons. Data showed that and were the highest and lowest species among the groups identified in summer in Lavare Saheli and Nakhle Taghi with relative abundances of 87% and 2.7% respectively.

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Among various water and wastewater treatment methods, adsorption techniques are widely used to remove certain classes of pollutants due to its unique features. Thus, the aim of this data article is to synthesize zero valent iron nanoparticles (NZVI) from Nettle leaf extract by green synthesis method as an environmentally friendly technique, and to evaluate it's efficiency in the removal of furfural from aqueous solutions. The data of possible adsorption mechanism and isotherm of furfural on the synthesized adsorbent are depicted in this data article.

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