Simulating a thermal water quality trading market for education and model development

Bier, Asmeret Brooke

doi:10.1016/j.jenvman.2010.07.001

Cited by 5 publications

(1 citation statement)

References 16 publications

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“…Apriori algorithm is the basic algorithm for mining frequent itemsets to generate the desired Boolean association rules; association rules it is also a very influential algorithm. The algorithm uses a hierarchical order of the loop method to complete the excavation work search frequent item sets [4]. The specific approach is: first find frequent 1-itemsets, denoted L1; then use L1 to tap L2, namely frequent 2-item set, constantly so the cycle continues until you cannot find more frequent K-itemsets so far.…”

Section: Data Mining and Improvement Strategiesmentioning

confidence: 99%

An Evaluation Model of Polytechnic Teaching Quality Based on ID3 Decision Making Tree

Jiang

Zhong

Liang

2014

AMM

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For improving the quality of vocational education evaluation validity, this paper introduces the research progress of teaching evaluation, use data mining technology to put forward a feasible model of higher vocational teaching quality evaluation, construct a decision tree has practical significance. By the method used, the traditional Apriori algorithm is improved decision tree to improve the teaching contents to the location of the second master node, reflecting the characteristics of vocational teaching practice. Case analysis indicated, the decision tree has a good operability and high credibility.

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Section: Data Mining and Improvement Strategiesmentioning

confidence: 99%

An Evaluation Model of Polytechnic Teaching Quality Based on ID3 Decision Making Tree

Jiang

Zhong

Liang

2014

AMM

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Framework Design and Influencing Factor Analysis of a Water Environmental Functional Zone-Based Effluent Trading System

Chen

Han

et al. 2016

Environmental Management

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The efficacy of traditional effluent trading systems is questionable due to their neglect of seasonal hydrological variation and the creation of upstream hot spots within a watershed. Besides, few studies have been conducted to distinguish the impacts of each influencing factor on effluent trading systems outputs. In this study, a water environmental functional zone-based effluent trading systems framework was configured and a comprehensive analysis of its influencing factors was conducted. This proposed water environmental functional zone-based effluent trading systems was then applied for the control of chemical oxygen demand in the Beiyun River watershed, Beijing, China. Optimal trading results highlighted the integration of water quality constraints and different hydrological seasons, especially for downstream dischargers. The optimal trading of each discharger, in terms of pollutant reduction load and abatement cost, is greatly influenced by environmental and political factors such as background water quality, the location of river assessment points, and tradable discharge permits. In addition, the initial permit allowance has little influence on the market as a whole but does impact the individual discharger. These results provide information that is critical to understanding the impact of policy design on the functionality of an effluent trading systems.

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Risk grade assessment of sudden water pollution based on analytic hierarchy process and fuzzy comprehensive evaluation

Zhang

Li²,

Miao³

et al. 2019

Environ Sci Pollut Res

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Simulating a thermal water quality trading market for education and model development

Cited by 5 publications

References 16 publications

An Evaluation Model of Polytechnic Teaching Quality Based on ID3 Decision Making Tree

An Evaluation Model of Polytechnic Teaching Quality Based on ID3 Decision Making Tree

Framework Design and Influencing Factor Analysis of a Water Environmental Functional Zone-Based Effluent Trading System

Risk grade assessment of sudden water pollution based on analytic hierarchy process and fuzzy comprehensive evaluation

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