Geostatistical analysis and optimization of the state hydrogheological monitoring network within the Pripyat river basin (Ukraine)

Keywords: observation wells, nearest-neighbour method, groundwater levels, kriging, mean squared error

Abstract

Formulation of the problem. The State Hydrogeological Monitoring Network has to provide the necessary information to manage groundwater resources and prevent negative changes in the geological environment. Currently, there is a negative tendency to decrease the number of observation wells, loss of information about the space-time variability of the hydrogeological regime elements in Ukraine. In conditions of limited funding, an important task is to develop an effective strategy for reforming the hydrogeological monitoring system, taking into account international experience and based on modern geoinformation technologies. Particular attention has to be given to transboundary territories. One of them is the Pripyat River basin, which is characterized by the low level of the State Hydrogeological Monitoring Network representativeness, both in comparison with European Union standards and with the existing groundwater monitoring network of neighbouring Belarus.

The purpose of the article is to evaluate the actual state of the hydrogeological observation wells network and optimize it within the territory of the Ukrainian part of the transboundary Pripyat watershed basin.

Methodology and materials. The State Scientific and Production Enterprise "Geoinform of Ukraine" database of State Groundwater Monitoring System composition and functioning as well as zoning map under the conditions of water exchange formation in the upper water-bearing level were used for the study. For the studied territory of the water exchange basin of Pripyat, the analysis of density and uniformity of the observation points distribution as well as the variogram analysis of the spatial distribution of groundwater-level altitudes within the study area were carried. For the actual monitoring network, the expected error of the spatial modelling of the groundwater-surface was evaluated.

Results. The obtained results of the geostatistical analysis made it possible to substantiate the project wells locations within the water exchange sub-basins to improve the quality of hydrogeological monitoring problem solutions.

Scientific novelty. The method of the hydrogeological monitoring network optimization has been improved based on geoinformation and geostatistical approaches and implemented for the Ukrainian part of the Pripyat River basin, taking into account the hydrogeological conditions of the territory and the configuration of the existing network.

Practical significance. Optimization and increment of the observation wells network, taking into account the obtained results, will provide the effective functioning of the hydrogeological monitoring system within the Ukrainian part of the Pripyat River basin and will have an economic effect, given that the cost of any measures to improve the groundwater quality and quantity is far more expensive than the monitoring system optimization.

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Author Biographies

Лідія Іванівна Давибіда, Ivano-Frankivsk National Technical University of Oil and Gas

PhD (Geology), Associate Professor

Марія Михайлівна Тимків, Ivano-Frankivsk National Technical University of Oil and Gas

Assistant

References

Demyanov V.V., Savelyeva E.A. & Harutyunyan R.V., (2010). Geostatistics: theory and practice. М: Institute for the Safe Development of Nuclear Energy RAS, 327 [in Russian].

Davybida, L., & Tymkiv, M. (2018). Geostatistical analysis and optimization of the hydrogheological monitoring network with in the Ukrainian part of the Pripyat river basin. International Conference of Young Scientists Geoterrace-2018, 57–62 [in Ukrainain].

Kovalevsky , V.S. (1986). Groundwater regime studies in connection with the iroperation. М: Nedra, 198 [in Russian].

Koshliakov, O., Dyniak, O., & Koshliakova , I. (2014). Problems of determination of groundwater body at cross-border regions of Ukraine according to EU water legislation. Bulletin of the University of Kiev.Visnyk of Taras Shevchenko National University of Kyiv: Geology, 4 (79), 67–70 [in Ukrainain].

Ruban, S.A., & Shynkarevsʹkyy, М.А. (2005). Hydrogeological assessments and forecasts of groundwater regime in Ukraine. К.: UkrDGRI, 572 [in Ukrainain].

Groundwater Status of Ukraine (2018). State Service of Geology and Subsoil of Ukraine. State Scientific and Production Enterprise "State Information Geological Fund of Ukraine" URL: http://geoinf.kiev.ua/wp/wp-content/uploads/2019/07/schorichnyk_stan_pv_2018_1.pdf [in Ukrainain].

Davybida, L., Tymkiv, M., & Kuzmenko E. (2018). Analysis of the state of hydrogeological monitoring network within the territory of Ukraine and the possibilities of its optimization on the basis of the geoinformation approach. International Conference of Young Scientists Geoterrace-2016, 157–160 [in Ukrainain].

Tymkiv M., Kasiyanchuk D., & Davybida L., (2018). Analysis of the Groundwater Monitoring Network of the Pripyat River Basin (within Ukraine). Proceedings of the International Scientific and Technical Conference "Oil and Gas Industry: Prospects for Increasing the Resource Base", 310–313 [in Ukrainain].

Shestopalov, V.M., & Lyuta, N.G. (2016). Status and ways of reforming of the state groundwater monitoring system taking into account international experience and requirements of the EU water framework directive. Mineral Resources of Ukraine, 2, 3–4 [in Ukrainain].

Baalousha, H. (2010). Assessment of a groundwater quality monitoring network using vulnerability mapping and geostatistics: a case study from Heretaunga Plains. Agric Water Manag, 97, 240–246.

Ben-Jema, F., Marino, M. A., & Loaiciga, H. A. (1994). Multivariate geostatistical design of groundwater monitoring networks. Journal of Water Resources Planning and Management-ASCE, 120, 502–522.

Berezko, O., & Vasneva, O. (2012). Groundwater monitoring in Belarus: implication and future prospects. Transboundary Aquifers in the Eastern Borders of the European Union, 115–119. Retrieved from https://link.springer.com/chapter/10.1007/978-94-007-3949-9_10

Bhat, S., Motz, L.H., Pathak, C., & Kuebler, L. (2015). Geostatistics-based groundwater-level monitoring network design and its application to the Upper Floridan aquifer. Environ Monit Assess , 187, 1–15.

Chandan, K.S., & Yashwant, B.K. (2017). Optimization of groundwater level monitoring network using GIS-based geostatistical method and multi-parameter analysis: a case study in Wainganga Sub-basin. Chin Geogr Sci ,27, 201–215. doi: https://doi.org/10.1007/s11769-017-0859-9

Davis, J. (1988). Statistics and Data Analysis in Geology. Biometrics.

Davybida, L.I., & Kuzmenko, E.D. (2018). Assessment of Observation Network and State of Exploration as to Groundwater Dynamics within Ukrainian Hydrogeological Province of Dnieper River. Geomatics and Environmental Engineering, 12/2, 19–31.

Davybida, L.I. (2018). Organization of hydrogeological monitoring within the Ukrainian part of the Tisza River basin. Proceedings Book of International Symposium “The Environmental and the Industry” SIMI, 409–416.

Directive 2000/60/EC of the European Parliament and of the Council of 23 October 2000 establishing a framework for Community action in the field of water policy [official website]. [on-line:] http://eurlex.europa.eu/resource.html?uri=cellar:5c835afb-2ec6-4577-bdf8756d3d694eeb.0004.02/DOC_1&

format=PDF [access: 03.03.2020].

Nixon, S.C. (1996). European Freshwater Monitoring Network design European Topic Centre on Inland Waters.European Environment Agency, 10/96, 131.

Hudak, P.F., & Loaiciga, H.A. (1992). A location modeling approach for groundwater monitoring network augmentation. Water Resources Research, 28, 643–649.

Davybida, L., Kasiyanchuk, D., Shtohryn, L., Kuzmenko, E., & Tymkiv, M. (2018). Hydrogeological Conditions and Natural Factors Forming the Regime of Groundwater Levels in the Ivano-Frankivsk Region (Ukraine). Journal of Ecological Engineering, 19(6), 34–44.

Marinoni, O. (2003). Improving geological models using a combined ordinary-indicator kriging approach. Engineering Geology, 69, 37–45.

Mishra, A.K., & Coulibaly, P. (2010). Hydrometric network evaluation for Canadian watersheds. Journal of Hydrology, 380(3-4), 420–437. doi: http://doi.org/10.1016/j.jhydrol.2009.11.015.

Mogheir, Y., Singh, V.P., & de Lima, J.L. (2006). Spatial assessment and redesign of a groundwater quality monitoring network using entropy theory, Gaza Strip, Palestine. Hydrogeology Journal, 14(5), 700–712. doi: http://doi.org/10.1007/s10040-005-0464-3.

Pourkhosravani, M. (2016). Qualitative analysis of Orzooiyeh plain groundwater resources using GIS techniques.Environmental Health Engineering and Management, 3, 209–215.

Theodossiou, N., & Latinopoulos, P. (2006). Theodossiou N. Evaluation and Optimization of Groundwater Observation Networks Using the Kriging Methodology. Environmental Modelling & Software, 22, 991–1000.

Triki, I., Zairi, M., & Ben Dhia, H. (2013). A geostatistical approach for groundwater head monitoring network optimisation: case of the Sfax superficial aquifer (Tunisia). Water and Environment Journal, 27, 362–372. doi: http://doi.org/10.1111/j.1747-6593.2012.00352.x

Yang, F., Cao, S., Liu, X., & Yang, K. (2008). Design of groundwater level monitoring network with ordinary kriging. Journal of Hydrodynamics, Ser. B, 20(3), 339–346. doi: http://doi.org/10.1016/S1001-6058(08)60066-9

Zhou, Y., Dong, D., Liu, J., & Li, W. (2013). Upgrading a regional groundwater level monitoring network for Beijing Plain, China. Geoscience Frontiers, 4(1), 127–138. doi: http://doi.org/10.1016/j.gsf.2012.03.008

Published
2020-07-07
Cited
How to Cite
Давибіда, Л. І., & Тимків, М. М. (2020). Geostatistical analysis and optimization of the state hydrogheological monitoring network within the Pripyat river basin (Ukraine). Visnyk of V. N. Karazin Kharkiv National University, Series "Geology. Geography. Ecology", (52), 35-50. https://doi.org/10.26565/2410-7360-2020-52-03