Development of fuzzy leachate pollution index for treatability-based classification of solid waste landfills

被引:0
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作者
Dharmasanam Ravi Teja
Suyog Gupta
Brahmdeo Yadav
Sunil Kumar Gupta
机构
[1] Indian Institute of Technology (Indian School of Mines),Department of Environmental Science and Engineering
[2] Birsa Institute of Technology Sindri,Department of Civil Engineering
关键词
Fuzzy leachate pollution index; Triangular membership functions overlapping open ends; Fuzzy rule–based system; Municipal solid waste; Landfill treatability;
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学科分类号
摘要
The fuzzy leachate pollution index (FLPI) was established to classify the landfill sites on the basis of their leachate pollution potential by considering the limitations of traditional methods. The FLPI was developed adopting 9 critical input parameters, i.e., TDS, pH, Cl, Cu, Pb, Cr, Zn, BOD, and COD, from 22 major landfill sites across India. Using these critical parameters, 3 groups, i.e., inorganic leachate strength (INLS), organic leachate strength (ORLS), and heavy metal leachate strength (HMLS), were generated to estimate the FLPI. The regression analysis, ANOVA, and sensitivity analysis were also performed to determine the significance and uncertainty of the index. The results showed that among all MFs, the triangular with overlapping open ends (TOO) MF was best fitted (R = 0.90) for FLPI estimation. Accordingly, 41% of the landfill sites showed less treatment while the others (59%) required moderate degree of treatment. The regression (R2 = 0.92) and ANOVA (F value = 15.003, p = 0.000031) analyses described that the developed tool was significant (p < 0.05). The sensitivity analysis showed that Zn (R = 0.99) was the most influencing factor followed by BOD > COD > pH > Cr > Cu > Cl > Pb > TDS. The study provides an important tool that can also be used by researchers and scientists for investigating and evaluating various environmental problems.
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页码:4949 / 4958
页数:9
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