A universal calibrated model for the evaluation of surface water and groundwater quality: Model development and a case study in China.
Water quality evaluation is an important issue in environmental management. Various methods have been used to evaluate the quality of surface water and groundwater. However, all previous studies have used different evaluation models for surface water and groundwater, and the models must be recalibra...
| Publicado en: | Journal of Environmental Management Vol. 163; pp. 20 - 28 |
|---|---|
| Autores principales: | , , , |
| Formato: | Case Study |
| Publicado: |
Academic Press Inc.
Nov2015
|
| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=109568404&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 109568404 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 03014797 EMJ jtl: Journal of Environmental Management issn: 03014797 maglogo: N pubinfo: dt: Nov2015 vid: 163 pid: 735 pub: Academic Press Inc. artinfo: ui: 109568404 10.1016/j.jenvman.2015.07.011 ppf: 20 ppct: 8 formats: tig: atl: A universal calibrated model for the evaluation of surface water and groundwater quality: Model development and a case study in China. aug: au: Yu, Chunxue Yin, Xin'an Li, Zuoyong Yang, Zhifeng affil: State Key Laboratory of Water Environmental Simulation, School of Environment, Beijing Normal University, No. 19 Xinjiekouwai Street, Beijing 100875, China School of Environment, Chengdu University of Information Technology, No. 24 Xuefu Street, Chengdu 610041, China su: Groundwater quality Environmental management Gaussian function Programming languages Feasibility studies sug: subj: Software Publishers Software publishers (except video game publishers) Groundwater quality Environmental management Gaussian function Programming languages Feasibility studies keyword: Ground water Neural network model Surface water Universal model Water quality evaluation Ground water Neural network model Surface water Universal model Water quality evaluation ab: Water quality evaluation is an important issue in environmental management. Various methods have been used to evaluate the quality of surface water and groundwater. However, all previous studies have used different evaluation models for surface water and groundwater, and the models must be recalibrated due to changes in monitoring indicators in each evaluation. Water quality managers would benefit from a universal and effective model based on a simple expression that would be suitable for all cases of surface water and groundwater, and which could therefore serve as a standard method for a region or country. To meet this requirement, we attempted to develop a universal calibrated model based on the radial basis function neural network. In the new model, the units and values of the evaluation indicators for surface water and groundwater are normalized simultaneously to make the data directly comparable. The model's training inputs comprise the normalized value in each of a water quality indicator's grades (e.g., the nitrate contents defined in a regulatory standard for grades I to V) for all evaluation indicators. The central vector of the Gaussian function is used as the average of the evaluation indicators' normalized standard values for the five grades. The final calibrated model is expressed as an equation rather than in a programming language, and is therefore easier to use. We used the model in a Chinese case study, and found that the model was feasible (it compared well with the results of other models) and simple to use for the evaluation of surface water and groundwater quality. pubtype: Academic Journal doctype: Case Study src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
|---|