Modeling the Efficiency of the Iron Coprecipitation-Filtration Process for the Removal of Arsenate at Low Initial Concentrations
| العنوان: | Modeling the Efficiency of the Iron Coprecipitation-Filtration Process for the Removal of Arsenate at Low Initial Concentrations |
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| المؤلفون: | Sisi Que, Liang Wang, Adrian T. Hanson, Eddie Livingston, Charalambos Papelis |
| المصدر: | Journal of Environmental Engineering. 142 |
| بيانات النشر: | American Society of Civil Engineers (ASCE), 2016. |
| سنة النشر: | 2016 |
| مصطلحات موضوعية: | Environmental Engineering, Coprecipitation, Arsenate, Environmental engineering, Ultrafiltration, chemistry.chemical_element, 02 engineering and technology, Surface complexation, 010501 environmental sciences, 021001 nanoscience & nanotechnology, 01 natural sciences, law.invention, chemistry.chemical_compound, chemistry, law, Scientific method, Environmental Chemistry, Maximum Contaminant Level, 0210 nano-technology, Arsenic, Filtration, 0105 earth and related environmental sciences, General Environmental Science, Civil and Structural Engineering |
| الوصف: | Modeling the efficiency of arsenate removal at low initial arsenic (As) concentrations is a new challenge following the new maximum contaminant level (MCL) of As in drinking water, revised downward from 50 to 10 μg/L by the U.S. EPA. Many water systems across the United States are required to remove As from drinking water under the current regulations. However, most of the models used to predict As removal performance were developed and validated based on the old, higher concentration standard. This paper investigates and reports on the ability of a model, based on the diffuse double-layer (DDL) surface complexation model, to predict As removal for low As levels (10–20 μg/L). The model was validated with a pilot study using source water from Well No. 3 of the Mutual Domestic Water Consumers Association (MDWCA) in Anthony, New Mexico. Based on the comparison of experimental data with model results, the model presented here can successfully predict the efficiency of As removal by coprecipitation w... |
| تدمد: | 1943-7870 0733-9372 |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_________::2c7de2ece4cb93e4a6db75765b087272 https://doi.org/10.1061/(asce)ee.1943-7870.0001119 |
| رقم الأكسشن: | edsair.doi...........2c7de2ece4cb93e4a6db75765b087272 |
| قاعدة البيانات: | OpenAIRE |
Find this article in full text from Scitation. | تدمد: | 19437870 07339372 |
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