论文部分内容阅读
[目的]应用综合评价方法评价游泳场所卫生状况,并对各方法的合理性进行比较,并验证其一致性。[方法]以2009年上海市长宁区30家游泳场所的卫生监督检查和水质检测两大类资料作为研究对象。对卫生监督检查资料应用量化分级管理评分法综合评价游泳场所卫生状况;对水质检测资料分别应用合格率法、综合指数法、模糊数学法和人工神经网络法构建水质综合评价模型并进行水质等级判断。最后,对五种综合评价方法的结果进行一致性检验。[结果]相比于其他评价方法,人工神经网络法有其方法学的优势,经其构建的水质综合评价模型评价的游泳场所水质平均等级为2.27级,各水质等级的游泳场所单位数的分布呈“两头少,中间多”的纺锤形结构,且显示出体育场馆内设游泳场所的等级达标率较高(100.0%)和小区会所内设游泳场所的等级达标率较低(68.2%),这些结果与历年来的游泳场所卫生监督检测结果基本相符。经综合指数法、合格率法和模糊数学法构建的水质综合评价模型评价的游泳场所水质平均等级分别为3.23级、2.87级和2.20级。经量化分级管理评分法评价的游泳场所卫生平均等级为2.27级。五种综合评价方法的结果间的Kappa系数在-0.134~0.173之间。[结论]五种综合评价方法结果的一致性较低,应用人工神经网络法构建的游泳场所水质综合评价模型相对合理。
[Objective] To evaluate the sanitation status of swimming places by comprehensive evaluation method and compare the rationality of each method and verify its consistency. [Method] Taking the data of health supervision and inspection and water quality test of 30 swimming places in Changning District in 2009 as the research object. Applying the method of quantitative and hierarchical management to the health supervision and inspection data to comprehensively evaluate the sanitation status of the swimming place; Constructing water quality comprehensive evaluation model and judging the grade of water quality by using the pass rate method, comprehensive index method, fuzzy mathematics method and artificial neural network method respectively, . Finally, the consistency of the results of five comprehensive evaluation methods is verified. [Result] Compared with other evaluation methods, artificial neural network method has its own advantages of methodology. The average water quality of swimming places evaluated by its comprehensive evaluation model of water quality was 2.27, and the number of swimming places in each water quality level was distributed It shows a spindle-shaped structure with “two heads less, middle and more” and shows that the swimming pool in the stadium has a high level of compliance (100.0%) and a swimming pool in the community club has a low standard of compliance (68.2% ), These results are consistent with the results of sanitary supervision and testing of swimming places over the years. The average water quality of swimming places evaluated by comprehensive index method, passing rate method and fuzzy mathematical method was 3.23, 2.87 and 2.20 respectively. The average health rating of swimming pools assessed by the quantitative grading management score is 2.27. The Kappa coefficients of the five comprehensive evaluation methods were between -0.134 and 0.173. [Conclusion] The consistency of the results of five comprehensive evaluation methods is relatively low. The synthetic evaluation model of swimming pool water quality constructed by artificial neural network is relatively reasonable.