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Volume 41 Issue 1
Jan.  2022
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Article Navigation >  Bulletin of Geological Science and Technology  > 2022  >  41(1): 168-176
Zhu Changkun. Optimization of karst water monitoring network based on information entropy: A case study in typical groundwater source sites in Xuzhou[J]. Bulletin of Geological Science and Technology, 2022, 41(1): 168-176. doi: 10.19509/j.cnki.dzkq.2022.0030
Citation: Zhu Changkun. Optimization of karst water monitoring network based on information entropy: A case study in typical groundwater source sites in Xuzhou[J]. Bulletin of Geological Science and Technology, 2022, 41(1): 168-176. doi: 10.19509/j.cnki.dzkq.2022.0030
shu

Optimization of karst water monitoring network based on information entropy: A case study in typical groundwater source sites in Xuzhou

doi: 10.19509/j.cnki.dzkq.2022.0030
  • Received Date: 09 Oct 2021
    Available Online: 02 Mar 2022
    Abstract
  • In view of the unreasonable layout of monitoring wells and heterogeneity and anisotropy of the karst aquifer monitoring system, mutual information-distance (T-D) and maximum information minimum redundancy (MIMR) models can be used to study the information redundancy of the monitoring network and the optimal monitoring well combination.Dinglou-Maocun and Qiligou in Xuzhou City were selected to do the research.The results show that: the data dispersion degree, information entropy, information transfer amount and information attenuation rate in Dinglou-Maocun are all greater than those in Qiligou.When ε is set to be 10-1, the effective transmission distance of water level information is 4.7 km and 4.8 km respectively, indicating the similar karst development degree and hydraulic conductivity of the two sites.By comparing the actual value and the theoretical value of the control area of monitoring well, it can be found that information redundancy exists in both two water source sites.The optimized number of monitoring wells in Dinglou-Maocun is 6, and the corresponding combination of monitoring wells is D1-D2-D4-D5-D7-D9, while the optimized number of monitoring wells is 5 and the corresponding combination of monitoring wells is Q1-Q3-Q4-Q5-Q7 in Qiligou.Compared to the original monitoring network, three monitoring wells are reduced in both two water source sites with 98.5% and 94.9% of the total information retention, 0.4% and 1.2% of control range decrease, 49.0% and 56.4% of the information redundancy reduction, respectively.It shows that the optimized monitoring network can provide the same amount of information and control range as the original site network, and significantly reduce information redundancy and monitoring costs.

     

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