Optimal Design of Groundwater Monitoring Network Using the Combined Election-Kriging Method
Author:
Publisher
Springer Science and Business Media LLC
Subject
Water Science and Technology,Civil and Structural Engineering
Link
http://link.springer.com/content/pdf/10.1007/s11269-020-02568-7.pdf
Reference40 articles.
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2. Adiat KAN, Ajayi OF, Akinlalu AA, Tijani IB (2020) Prediction of groundwater 684 level in basement complex terrain using artificial neural network: a case of Ijebu-Jesa, 685 southwestern Nigeria. Appl Water Sci 10(1):8
3. Ahmadi SH, Sedghamiz A (2008) Application and evaluation of kriging and cokriging methods on groundwater depth mapping. Environ Monit Assess 138:357–368
4. Alizadeh Z, Mahjouri N (2017) A spatiotemporal Bayesian maximum entropy-based methodology for dealing with sparse data in revising groundwater quality monitoring networks: the Tehran region experience. Environ Earth Sci 76:436
5. Asefa T, Kemblowski MW, Urroz G, McKee M, Khalil A (2004) Support vectors-based groundwater head observation networks design. Water Resour Res 40:W11509
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