PL EN


Preferencje help
Widoczny [Schowaj] Abstrakt
Liczba wyników
Tytuł artykułu

Geostatistical hydrogeochemical 3D model for Kłodzko underground water intake area. Part I., Estimation of basic statistics on quality parameters of underground waters

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The paper presents the first stage of research on a geostatistical hydrogeochemical 3D model dedicated to the horizontal and vertical spatial and time variation in the topographical, hydrological and quality parameters of underground water in the Kłodzko water intake area. The research covers the period 1977–2012. For this purpose various thematic databases, containing original data on coordinates X, Y (latitude and longitude) and Z (terrain elevation and time – years) and on regionalized variables, i.e., the underground water quality parameters in the Kłodzko water intake area determined for different analytical configurations (22 wells, 14 wells, 14 wells + 3 piezometers), were created. The data were subjected to spatial analyses using statistical methods. The input for the studies was the chemical determination of the quality parameters of underground water samples taken from the wells in the water intake area in different periods of time. Both archival data (acquired in the years 1977–1999, 1977–2011) and the latest data (collected in November 2011 and in January 2012) were analyzed. First, the underground water intake area with 22 wells was investigated. Then in order to assess the current quality of the underground water, 14 wells out of the 22 wells were selected for further chemical analyses and a collection siphon wall was included. Recently, three new piezometers were installed in the water intake area and so new water samples were taken, whereby the databases were supplemented with new chemical determinations. The variation in the topographical parameter (terrain elevation) and in the hydrogeological parameters: water abstraction level Z (with and without the land layout being taken into account) and the depth of occurrence of the water table, was examined. Subsequently, the variation in quality parameters was studied on the basis of data coming from 22 wells, then 14 wells and finally from 14 wells and 3 piezometers. The variation in: Fe, Mn, ammonium ions NH4+, nitrite anion NO3 – and phosphate anion PO4 –3 content values, total organic carbon (TOC) C content, the pH reaction and temperature (°C) of the water was investigated. The basic statistics and distribution histograms of the topographical, hydrogeological and quality parameters (22 wells, 14 wells, 14 wells + 3 piezometers; the years: 1977–1999, 2011, 2011–2012) were estimated and detailed characteristics of the variation in the parameters in the whole underground water intake area over the years were obtained. Generally, the behaviour of the underground water quality parameters has been found to vary in space and time. Thanks to the multidirectional spatial analyses of the variation in the quality parameters in the Kłodzko underground water intake area some regularities in the variation in water quality have been identified.
Wydawca
Rocznik
Strony
157--182
Opis fizyczny
Bibliogr. 24 poz., tab., rys.
Twórcy
  • Institute of Geotechnics and Hydrotechnics, Wrocław University of Technology, Wybrzeże Wyspiańskiego 27, 50 – 370 Wrocław, Poland
Bibliografia
  • [1] ARMSTRONG M., Basic Linear Geostatistics, Springer, Berlin 1998, 153 p.
  • [2] ARMSTRONG M., CARIGNAN J., Géostatistique Linéaire – Application au Domaine Minier, Les Presses de l’Ecole des Mines, Paris 1997, 115 p.
  • [3] CASTORE M., CHERUBINI C., GIASI C.I., MOLINARI M., The Application of Multivariable Geostatistical Analysis in the Study of Contaminated Sites, 2005.
  • [4] CHAUVET P., Processing Data with a Spatial Support: Geostatistics and its Methods, Cahiers de Géostatistique 4, Paris: ENSMP, 1993. 57 p.
  • [5] CHILÈS J.P., DELFINER P., Geostatistics: Modeling Spatial Uncertainty, Second Edition, Wiley, N.Y. 2012, 734 p. (Wiley series in probability and statistics).
  • [6] CINNIRELLAA S., BUTTAFUOCO G., IRRONEA N., Stochastic analysis to assess the spatial distribution of groundwater nitrate concentrations in the Po catchment, (Italy) Elsevier, Sept. 2004.
  • [7] DĄBROWSKI S., KRASZEWSKI K., PLECZYŃSKI J., Badania modelowe ujęcia wód podziemnych z utworów czwartorzędowych w rejonie Kłodzka, woj. wałbrzyskie; Zlewnia: Odry (Nysy Kłodzkiej), Poznań, maj 1982, s. 13.
  • [8] Dokumentacja hydrogeologiczna zasobów wód infiltracyjnych z utworów czwartorzędowych z projektem na rozbudowę ujęcia wody dla m. Kłodzka, Przedsiębiorstwo Geologiczne, ul. Wierzbowa 15, Wrocław 1982.
  • [9] FAUCHEUX C., JEANNÉE N., Industrial experience feedback of a geostatistical estimation of contaminated soil volumes, Presented at Intersol 2011.
  • [10] FLIPO N., JEANNÉE N. et al., Nitrates fate in a small basin: combined use of kriging and physicallybased model, 2005.
  • [11] GUASTALDI E., Geostatistical modelling of uncertainty for the risk analysis of contaminated sites, 2007.
  • [12] ISAAKS E.H., SRIVASTAVA R.M., An Introduction to Applied Geostatistics, OUP, N.Y. 1989, 561 p.
  • [13] JEANNÉE N., Isatis applications for soil pollution mapping and risk assessment, Presented at Isatis Users Meeting, Geovariances, 2006.
  • [14] JEANNÉE N., BERCKMANS A., WOUTERS L., CHILES J.P., Assessing the Spatial Continuity of Low Permeability Media for Deep Waste Disposal, the Boom Clay Case – Sept. 2009, Presented at GLOBAL 2009.
  • [15] JEANNÉE N., FAUCHEUX C., BARDOU E., ORNSTEIN P., Geostatistical modeling of ice content within the “Glacier Bonnard”, (Switzerland) Spatial Data Methods for Environmental and Ecological Processes, 2nd edition, Sept. 2011.
  • [16] LAZAROWICZ K., Projekt koncepcyjny rozbudowy ujęcia wody dla miasta Kłodzka do 2030 roku, Praca dyplomowa magisterska (nr I - 15/ZD - 4/1/2009/2010), s. 88. Wydział Inżynierii Środowiska Politechniki Wrocławskiej, Promotor dr hab. inż. Andrzej Kotowski, prof. PWr.
  • [17] MATHERON G., Estimating and Choosing – An Essay on Probability in Practice, Springer, Berlin 1989, 141 p.
  • [18] MATHERON G., The intrinsic random functions and their application, Adv. App. Prob., Vol. 5, 1973, 439–468.
  • [19] MĄDRALA M., Waloryzacja hydrogeochemiczna środowisk dolin rzecznych dla potrzeb eksploatacji wód podziemnych, Współczesne Problemy Hydrogeologii, Wrocław 2001, 357–364.
  • [20] MARI J.L., POREL G., 3D Seismic Imaging of a Near-Surface Heterogeneous Aquifer: A Case Study, Oil & Gas Science and Technology, Rev. IFP, Nov. 2007.
  • [21] NAMYSŁOWSKA-WILCZYŃSKA B., Geostatystyka – Teoria i Zastosowania, Oficyna Wydawnicza Politechniki Wrocławskiej, Wrocław 1996, s. 356.
  • [22] NAMYSŁOWSKA-WILCZYŃSKA B., Model hydrogeochemiczny dla obszaru ujęć wody podziemnej w Kłodzku, Raport Instytutu Geotechniki I Hydrotechniki Politechniki Wrocławskiej, serii SPR 1/2012, Wrocław, marzec 2012, s. 279.
  • [23] RENARD F., JEANNEE N., Estimating transmissivity fields and their influence on flow and transport: The case of Champagne mounts, Water Resources Research, Vol. 44, Nov. 2008.
  • [24] WACKERNAGEL H., Multivariate Geostatistics: an Introduction with Applications, 2nd ed., Springer, Berlin 1998, 291 p.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-14f728a7-40c4-4228-affa-019a6e61c99d
JavaScript jest wyłączony w Twojej przeglądarce internetowej. Włącz go, a następnie odśwież stronę, aby móc w pełni z niej korzystać.