Multidimensional system geomonitoring of groundwater in water in-takes areas (on the example of Poltava city). Part 1. Identification of system development of hydrogeological process
Abstract
Formulation of the problem. The paper is the beginning of scientific papers series of authors on an actual environmental topic – multidimensional system geomonitoring of groundwater in water intakes areas.
The purpose of article is a substantiation of application possibility of the method of objects trajectory modeling in the normalized phase space, which has been developed at V. N. Karazin Kharkiv National University for socio-geographical monitoring tasks, for hydrogeological objects geomonitoring.
Materials and methods. The research is based on the method of objects trajectory modeling in the normalized phase space.
To achieve the purpose of this study, geomonitoring data of five water intakes in Poltava city, which operate Cenomanian-Lower Cretaceous aquifer, has been used. Changes in the average chemical composition of groundwater for each water intake have been analyzed according to 12 indicators: pH, hardness, dry residue, ammonium, fluorine, chlorine, sulfates, bicarbonates, calcium, magnesium, sodium+potassium, ferrous iron. The initial data have been collected from 1981 to 2008 according to an irregular pattern in time (39 points in time).
Research results. The following indicators of systemic development of hydrogeological system have been calculated for each water intake: a) for each period of time – the path length traveled by the water intake hydrogeological system, which characterizes the intensity of changes in the groundwater chemical composition;
- b) for each control time – the projection of current trajectory point on the optimal trajectory (main diagonal), the deviation of point from the optimal trajectory, the progress coefficient (the ratio of point projection to the length of main diagonal).
The main trends in the systemic development of hydrogeological system for all studied water intakes have been identified:
- the intensity of changes in the groundwater chemical composition at water intakes Nos. 1-5 decreases over time, which can be explained by the reduction of water withdrawal and hydrodynamic factors associated with the formation of depression funnel, in particular the spreading of quasi-stationary filtration regime;
- according to the absolute values of changes intensity in the groundwater chemical composition, the water intake No. 3 is highlighted, the value of which is significantly less than the values of other water intakes;
- groundwater at the water intake No. 1 has the greatest variability in the changes intensity of chemical composition over time both in amplitude and in absolute values;
- there is a very noticeable synchronization of movement intensity graphs of water intakes hydrogeological systems in the normalized phase space and the average intensity of changes in the groundwater chemical composition, but a detailed analysis reveals some deviations from this pattern, which may be due to abrupt changes in operation mode of water intakes.
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References
Yakovlev, Ye. A. (Eds.) (1994). Vremennoe metodicheskoe rukovodstvo po provedeniyu kompleksnykh ekologo-geologicheskikh issledovaniy (na territorii Ukrainy) [Temporary guidelines for the conduct of integrated environ-mental and geological research (in Ukraine)], Кiev: GGP «Geoprognoz», 331. [in Russian]
Niemets, K. A., Niemets, L. M. (2014). Teoriya i metodologiya geografichnoyi nauky`: metody` prostorovogo analizu [Theory and methodology of geographical science: methods of spatial analysis], Kharkiv: V. N. Karazin KhNU, 172. [in Ukrainian]
Ognyanik, N. S., Paramonova, N. K., Briks, A. L. (Eds.) (2013). Ekologo-gidrogeologicheskiy monitoring territoriy zagryazneniya geologicheskoy sredy legkimi nefteproduktami [The ecological and hydrogeological monitoring of territories of contamination of geological environment by light oil products], Кiev: LAT&K, 254. [in Russian]
Ognyanik, N. S. (1985). Okhrana podzemnykh vod v usloviyakh tekhnogeneza [Protection of groundwater in the conditions of technogenesis], Kiev: Vysha shkola, 221. [in Russian]
Udalov, I. V., Reshetov, I. K. (2012). Ekologo-geologichne kartografuvannya ta monitory`ng geologichnogo seredovy`shha: navchal`ny`j posibny`k [Ecological-geological mapping and geological environment monitoring: a textbook], Kharkiv: V. N. Karazin Kharkiv National University, 152. [in Ukrainian]
Yakovlev, Ye. O., Mel`ny`k, I. V., Duby`cz`ky`j, A. I. (1998). Ekologo-geoximichna ocinka zabrudnennya g`runtiv, donny`x vidkladiv, g`runtovy`x vod. Metody`chni rekomendaciyi [Ecological-geochemical assessment of contami-nation of soil, bottom sediments, groundwater. Guidelines], Kyiv: DGP «Geoinform», 34. [in Ukrainian]
Yakovlev, Ye. O. (1996), Metodologiya ekologichny`x doslidzhen` regional`ny`x texnogenny`x zmin geologichnogo seredovy`shha Ukrayiny` [Methodology of ecological researches of regional technogenic changes of the geologi-cal environment of Ukraine] : Sc. D. (Technics) Thesis, Kyiv, 95. [in Ukrainian]
Yakovlev, Ye. A., Yurkova, N. A., Slyadnev, V. A. (2001), Metodologiya otsenki ekologicheskogo sostoyaniya pod-zemnykh vod [Methodology for assessing the groundwater ecological state]. Ecology and resource conservation, 3, 56-59. [in Russian]
Abtahi, M., Golchinpour, N., Yaghmaeian, K. (Eds.) (2015). A modified drinking water quality index (DWQI) for as-sessing drinking source water quality in rural communities of Khuzestan Province, Iran. Ecological Indicators, 53, 283-291. DOI: https://doi.org/10.1016/j.ecolind.2015.02.009
Aziz, A., Oudalov, I. V., Rouhollah, N. (Eds.) (2015). Rational integration of ecologic-geological studies. – Ecology, Environment and Conservation Paper, 21, 4, 1625-1631.
Chen, Y., Han, D. (2018). Water quality monitoring in smart city: A pilot project. Automation in Construction, 89, 307-316. DOI: https://doi.org/10.1016/j.autcon.2018.02.008
Dalla Libera, N., Fabbri, P., Mason, L. (Eds.) (2017). Geostatistics as a tool to improve the natural background level definition: An application in groundwater. Science of The Total Environment, 598, 330-340. DOI: https://doi.org/10.1016/j.scitotenv.2017.04.018
Kononenko, A., Lurie, A., Udalov, I. (2018). Criteria for Assessing Groundwater Contamination Levels of Marl and Chalk Water Intakes in Eastern Ukraine. Eastern European Scientific Journal (Gesellschaftswissenschaften): Düs-seldorf (Germany): Auris Verlag, 2, 13–17.
Molinari, A., Guadagnini, L., Marcaccio, M. (Eds.) (2019), Geostatistical multimodel approach for the assessment of the spatial distribution of natural background concentrations in large-scale groundwater bodies. Water Re-search, Vol. 149, 522-532. DOI: https://doi.org/10.1016/j.watres.2018.09.049
Nurani Zulkifli, S., Abdul Rahim, H., Lau, W.-J. (2018). Detection of contaminants in water supply: A review on state-of-the-art monitoring technologies and their applications. Sensors and Actuators B: Chemical, 255, 3, 2657-2689. DOI: https://doi.org/10.1016/j.snb.2017.09.078
Preziosi, E., Parrone, D., Del Bon, A. (Eds.) (2014). Natural background level assessment in groundwaters: proba-bility plot versus pre-selection method. Journal of Geochemical Exploration, 143, 43-53. DOI: https://doi.org/10.1016/j.gexplo.2014.03.015
Szabo, J., Hall, J. (2014). On-line Water Quality Monitoring for Drinking Water Contamination. Comprehensive Water Quality and Purification, 2, 266-282. DOI: https://doi.org/10.1016/B978-0-12-382182-9.00038-4
Weiwu, Y., Jialong, L., Xiaohui, B. (2016). Comprehensive assessment and visualized monitoring of urban drinking water quality. Chemometrics and Intelligent Laboratory Systems, 155, 26-35. DOI: https://doi.org/10.1016/j.chemolab.2016.03.026