A Risk Model by Fitting Function for the Wastewater of the Traditional Chinese Medicine Industry

Abstract:

a risk model to assess the environmental risk of wastewater from the traditional Chinese medicine manufacturers was set to cope with the increasing pollution. The Klebsiella planticola was selected as the indicator because of the sensitive reaction of its mass growth, the highest correlationship(r=0.989) with significance (P=0.001＜0.01) along with the change of the wastewater’s concentrations and the perfect coefficient of fitting function (R2=1). The dose-effective relationship among microbial indicator and pollutants, which was analyzed and verified, was adopted to generate a fitting function. The fitting function equation was y=-0.945x4+0.971x3+0.314x2-0.114x +0.301; Thus, different risk levels were divided: No risk (0.2973≤OD600≤0.3010), Low risk (0.3010＜OD600＜0.4325, 0.1505＜OD600＜0.2973), Medium risk (0.4325≤OD600＜0.5640, 0.1505≤OD600＜0), High risk (0.5640≤OD600, OD600≤0.000). The sensitivity and precision of the risk assessment model could be guaranteed by the characteristics of the microbial indicator

• Periodical: Advanced Materials Research (Volumes 726-731)
• Pages: 1085-1088
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.726-731.1085
• Online since: August 2013
• Authors: Xue Long Chen, Xiao Long Wang
• Keywords: Fitting Function, Klebsiella Planticola, Risk Assessment, Traditional Chinese Medicine

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