Optimization of Antimony Removal by Coagulation-Flocculation-Sedimentation Process Using Response Surface Methodology

نویسندگان

چکیده

Coprecipitation-adsorption plays a significant role during coagulation-flocculation-sedimentation (C/F/S) of antimony (Sb) in water. This work uses Box–Behnken statistical experiment design (BBD) and response surface methodology (RSM) to investigate the effects major operating variables such as initial Sb(III, V) concentration (100–1000 µg/L), ferric chloride (FC) dose (5–50 mg/L), pH (4–10) on redox Sb species. Experimental data removal were used determine function coefficients. The model value (Sb removal) showed good agreement with experimental results. FC promising coagulation behavior both species under optimum (6.5–7.5) due its high affinity towards low residual Fe concentration. However, 50 mg/L is required for maximum (88–93%) Sb(V), but also highest (92–98%) concentrations Sb(III). Furthermore, BBD RSM found be reliable feasible determining conditions from environmental water samples by C/F/S process. may contribute better understanding prediction aqueous environments, reduce potential risks humans.

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Paper and Cardboard Industries Wastewater Treatment by Coagulation and Flocculation Process and Optimization with Response Surface Methodology: A Laboratory Study

Background and Objectives: Wastewater treatment of paper recycling and cardboard industries with the aim of water recycling and reducing environmental impact is one of the daily needs of industries. Therefore, the aim of the present study was to optimize the conditions of coagulation and flocculation process in wastewater treatment of paper recycling industries using the response surface method...

متن کامل

Photocatalytic Removal of Amaranth Optimization Using Response Surface Methodology

Since Amaranth (AM) is one of the dye compounds which is harmful to human’s life its removal from industrial waste water would reduce their environmental impact and health effect. Copper nanoparticle (CuNP) is a simple and eco-friendly material which can be used to remove this pollutant. In this paper, copper nanoparticles were synthesized, for removal of AM dye. The experiments were designed b...

متن کامل

Removal of methylene blue from aqueous solution using nano-TiO2/UV process: Optimization by response surface methodology

This work describes the photocatalytic removal of methylene blue from aqueous solution by titanium dioxide nanoparticles under ultraviolet irradiation in a batch system. The effect of operational parameters such as irradiation time, nano titanium dioxide dosage, pH and initial methylene blue concentration were analyzed and optimized by response surface methodology in the nano titanium dioxide/u...

متن کامل

Modeling and Optimization of Arsenic (III) Removal from Aqueous Solutions by GFO Using Response Surface Methodology

Arsenic is a highly toxic element for human beings, which is generally found in groundwater. Dissolved Arsenic in water can be seen as As+3 and As+5 states. The adsorption process is one of the available methods to remove Arsenic from aqueous solutions. Thus, this papers aims at removing Arsenic (III) from aqueous solutions through adsorption on iron oxide granules. The relation among four inde...

متن کامل

Bentazon removal from aqueous solution by reverse osmosis; optimization of effective parameters using response surface methodology

Although bentazon is widely used as an agricultural herbicide, it is harmful to humans and poses many environmental threats. This study focused on the treatment of wastewater contaminated with bentazon pesticides using membrane technology. In this regard, low-pressure reverse osmosis (RO) was employed as it has already been used in the removal of other micro-pollutants. The effects of process v...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Processes

سال: 2021

ISSN: ['2227-9717']

DOI: https://doi.org/10.3390/pr9010117