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ROLE OF DIFFERENT PARAMETERS IN THE QUANTIFICATION OF GENERATED SLUDGE IN THE OXYLATOR UNIT OF WATER TREATMENT PLANTS, USING ARTIFICIAL NEURAL NETWORK MODEL (CASE STUDY OF JALALIEH WATER TREATMENT PLANT, TEHRAN, IRAN).
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- Applied Ecology & Environmental Research, 2017, v. 15, n. 4, p. 129, doi. 10.15666/aeer/1504_129142
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Analyzing the quantitative risk and hazard of different waterborne arsenic exposures: case study of Haraz River, Iran.
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- Environmental Earth Sciences, 2015, v. 74, n. 1, p. 521, doi. 10.1007/s12665-015-4058-7
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- Article