| Unconfined water vulnerability evaluation based on Weber-Fechner law and Probabilistic Neural Network |
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| DOI：10.7606/j.issn.1000-7601.2013.02.38 |
| Key Words: Weber-Fechner expand law Probabilistic Neural Network unconfined water water quality water quantity groundwater vulnerability evaluation |
| Author Name | Affiliation | | DONG Yanhui | College of Civil & Architecture Engineering, Xi’an Technological University, Xi’an, Shaanxi 710032, China | | ZHOU Weibo | College of Environment Science and Engineering, Chang'an University，Xi’an, Shaanxi 710054， China | | ZHAO Pingge | College of Civil & Architecture Engineering, Xi’an Technological University, Xi’an, Shaanxi 710032, China |
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| Abstract: |
| As the present groundwater vulnerability evaluation methods were more subjective, and could not evaluate the vulnerability of water quantity, this paper combined the Weber-Fechner expand law(a psychophysics’ principle) and Probabilistic Neural Network to put forward a new groundwater vulnerability evaluation method—W-F and PNN method, which could evaluate the quality and quantity vulnerability of groundwater. The new method was used to evaluate the unconfined water quality and quantity vulnerability of Xi’an for the year 2005. The result shows that the W-F and PNN method can avoid the influenc
e of subjection and limitation of traditional methods, the evaluation result was reasonable and reliable, and the method has wider evaluation scope and was valuable to be widely used. |
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