Optimal design of monitoring networks for multiple groundwater quality parameters using a Kalman filter: application to the Irapuato-Valle aquifer

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• 作者：H. E. J煤nez-Ferreira ; G. S. Herrera…
• 关键词：Optimal monitoring network ; Geostatistics ; Kalman filter ; Groundwater quality ; Priority zones
• 刊名：Environmental Monitoring and Assessment
• 出版年：2016
• 出版时间：January 2016
• 年：2016
• 卷：188
• 期：1
• 全文大小：6,789 KB
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• 作者单位：H. E. J煤nez-Ferreira (1)
  G. S. Herrera (2)
  L. Gonz谩lez-Hita (3)
  A. Cardona (4)
  J. Mora-Rodr铆guez (5)
  
  1. Maestr铆a en Ingenier铆a Aplicada, Universidad Aut贸noma de Zacatecas, Av. Ram贸n L贸pez Velarde No. 801, Carretera a la Bufa, C.P. 98010, Zacatecas, Mexico
  2. Instituto de Geof铆sica, Universidad Nacional Aut贸noma de M茅xico, Ciudad Universitaria, Del. Coyoac谩n, CP 04510, Mexico City, Mexico
  3. Subcoordinaci贸n de Hidrolog铆a Subterr谩nea, Instituto Mexicano de Tecnolog铆a del Agua, Paseo Cuauhn谩huac 8532, Col. Progreso, C.P. 62550, Jiutepec, Morocco, Mexico
  4. 脕rea Ciencias de la Tierra, Facultad de Ingenier铆a, Universidad Aut贸noma de San Luis Potos铆, Dr. Manuel Nava No 8, Zona Universitaria, C.P. 78290, San Luis Potos铆, S.L.P., Mexico
  5. Departamento de Ingenier铆a Geom谩tica e Hidr谩ulica, Universidad de Guanajuato, Av. Ju谩rez, 77. Col. Centro, C.P. 36000, Guanajuato, Mexico
  
• 刊物类别：Earth and Environmental Science
• 刊物主题：Environment
  Monitoring, Environmental Analysis and Environmental Ecotoxicology
  Ecology
  Atmospheric Protection, Air Quality Control and Air Pollution
  Environmental Management
  
• 出版者：Springer Netherlands
• ISSN：1573-2959

文摘

A new method for the optimal design of groundwater quality monitoring networks is introduced in this paper. Various indicator parameters were considered simultaneously and tested for the Irapuato-Valle aquifer in Mexico. The steps followed in the design were (1) establishment of the monitoring network objectives, (2) definition of a groundwater quality conceptual model for the study area, (3) selection of the parameters to be sampled, and (4) selection of a monitoring network by choosing the well positions that minimize the estimate error variance of the selected indicator parameters. Equal weight for each parameter was given to most of the aquifer positions and a higher weight to priority zones. The objective for the monitoring network in the specific application was to obtain a general reconnaissance of the water quality, including water types, water origin, and first indications of contamination. Water quality indicator parameters were chosen in accordance with this objective, and for the selection of the optimal monitoring sites, it was sought to obtain a low-uncertainty estimate of these parameters for the entire aquifer and with more certainty in priority zones. The optimal monitoring network was selected using a combination of geostatistical methods, a Kalman filter and a heuristic optimization method. Results show that when monitoring the 69 locations with higher priority order (the optimal monitoring network), the joint average standard error in the study area for all the groundwater quality parameters was approximately 90 % of the obtained with the 140 available sampling locations (the set of pilot wells). This demonstrates that an optimal design can help to reduce monitoring costs, by avoiding redundancy in data acquisition. Keywords Optimal monitoring network Geostatistics Kalman filter Groundwater quality Priority zones