Optimum design of groundwater level monitoring network in Yinchuan plain

2011 ◽  
Author(s):  
Yang Chao ◽  
Qian Hui ◽  
Fang Yuan ◽  
Wang Hongying
Keyword(s):  
Optimum Design ◽  
Groundwater Level ◽  
Monitoring Network ◽  
Level Monitoring ◽  
Yinchuan Plain

Design of Groundwater Level Monitoring Network with Ordinary Kriging

2008 ◽  
Vol 20 (3) ◽  
pp. 339-346 ◽  
Author(s):  
Feng-guang Yang ◽  
Shu-you Cao ◽  
Xing-nian Liu ◽  
Ke-jun Yang
Keyword(s):  
Groundwater Level ◽  
Ordinary Kriging ◽  
Monitoring Network ◽  
Level Monitoring

scholarly journals Optimal design of groundwater-level monitoring networks

2017 ◽  
Vol 19 (6) ◽  
pp. 920-929 ◽  
Author(s):  
Fahimeh Mirzaie-Nodoushan ◽  
Omid Bozorg-Haddad ◽  
Hugo A. Loáiciga
Keyword(s):  
Groundwater Level ◽  
Groundwater Monitoring ◽  
Design Method ◽  
Monitoring Network ◽  
Optimization Method ◽  
Monitoring Networks ◽  
Nsga Ii ◽  
Design Data ◽  
Groundwater Levels ◽  
Level Monitoring

Abstract Groundwater monitoring plays a significant role in groundwater management. This study presents an optimization method for designing groundwater-level monitoring networks. The proposed design method was used in the Eshtehard aquifer, in central Iran. Three scenarios were considered to optimize the locations of the observation wells: (1) designing new monitoring networks, (2) redesigning existing monitoring networks, and (3) expanding existing monitoring networks. The kriging method was utilized to determine groundwater levels at non-monitoring locations for preparing the design data base. The optimization of the groundwater monitoring network had the objectives of (1) minimizing the root mean square error and (2) minimizing the number of wells. The non-dominated sorting genetic algorithm (NSGA-II) was applied to optimize the network. Inverse distance weighting interpolation was used in NSGA-II to estimate the groundwater levels while optimizing network design. Results of the study indicate that the proposed method successfully optimizes the design of groundwater monitoring networks that achieve accuracy and cost-effectiveness.

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