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Biogas modeling by fuzzy comprehensive index of municipal wastewater and sludge

机译:城市废水与污泥模糊综合指数沼气建模

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Multiple parameter comprehensive index by fuzzy logic is an innovative approach toward environmental indexing. An attempt was carried out to express strength of municipal wastewater and sludge considering their potential for biogasification in terms of wastewater comprehensive index (WWCI) and sludge comprehensive index (SCI), respectively. Both these indices were calculated using fuzzy multiple criteria decisions making (FMCDM). Further biogas was predicted using these WWCI and SCI by multiple linear regression. A significant relation was found in suspended solids concentration of influent wastewater and digester feedstock with WWCI and SCI, respectively. Considering this linear relation, an empirical equation was developed consisting WWCI and SCI giving biogas, which was found a user friendly and precise over established biogas prediction models. As both of these indices will be obtained simply by measuring suspended solids concentration by digital inline meter at waste-water treatment plant there will be no any need to practice laborious sampling, characterization, and calculations.
机译:模糊逻辑的多个参数综合指标是一种对环境索引的创新方法。试图表达市政废水和污泥的实力,考虑到污水综合指数(WWCI)和污泥综合指数(SCI)的潜力。使用模糊多标准决策(FMCDM)计算这两个指数。通过多元线性回归使用这些WWCI和SCI来预测进一步的沼气。在悬浮的废水和WWCI和SCI中分别存在显着的关系。考虑到这一线性关系,开发了一种经验方程,包括WWCI和SCI,给予沼气,发现用户友好并精确过于建立的沼气预测模型。由于这两种索引都将仅通过在废水处理厂的数字内联仪测量悬浮的固体浓度来获得,因此不会有任何需要实行费力的采样,表征和计算。

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