Identyfikatory
Warianty tytułu
Przedstawienie koncepcyjnego modelu gromadzenia danych na potrzeby zarządzania jakością wód gruntowych
Języki publikacji
Abstrakty
A conceptual model was proposed in the present study, which highlighted important independent and dependent variables in order to managing the groundwater quality. Furthermore, the methods of selection of variable and collection of related data were explained. The study was carried out in the Tajan Plain, north of Iran; 50 drinking wells were considered as sampling points. In this model the Analytical Hierarchy Process (AHP) was proposed to select the indicator water quality parameters. According to expert opinions and characteristics of the study area ten factors were chosen as variables influencing the quality of groundwater (land use types, lithology units, geology units, distance of wells to the outlet, distance to the residential areas, direction toward the residential areas, depth of the groundwater table, the type of aquifer, transmissivity and population). Geographic Information System (AecGIS 9.3) was used to manage the spatial-based variables and the data of non-spatial-based variables were obtained from relevant references. A database, which contains all collected data related to groundwater quality management in the studied area, was created as the output of the model. The output of this conceptual model can be used as an input for quantitative and mathematical models. Results show that 6 parameters (sulphate, iron, nitrate, electrical conductivity, calcium, and total dissolved solids (TDS) were the best indicators for groundwater quality analysis in the area. More than 50% of the wells were drilled in the depth of groundwater table about 5 meters, in this low depth pollutants can load into the wells and also 78% of the wells are located within 5 km from the urban area; it can be concluded from this result that the intensive urban activities could affect groundwater quality.
W przedstawionym badaniu zaproponowano model koncepcyjny, który uwydatnia niezależne i zależne zmienne ważne dla zarządzania jakością wód gruntowych. Wyjaśniono ponadto metody doboru zmiennych i gromadzenia stosownych danych. Badania prowadzono na Równinie Tajan na północy Iranu. Próby pobierano w 50 studniach. W wybranym modelu zaproponowano proces analitycznej hierarchii (AHP) do wyboru wskaźnikowych parametrów jakości wody. Zgodnie z opiniami ekspertów i charakterystyką obszaru badań wybrano dziesięć czynników stanowiących zmienne wpływające na jakość wód gruntowych (typ użytkowania ziemi, jednostki litologiczne, jednostki geologiczne, odległość studni od odpływu, odległość od terenów zamieszkanych przez ludzi, głębokość zwierciadła wód gruntowych, typ warstwy wodonośnej, przepuszczalność i liczba ludności). Wykorzystano system informacji geograficznej (AecGIS 9.3) do zarządzania zmiennymi przestrzennymi, a dane o zmiennych niezwiązanych z rozmieszczeniem przestrzennym pozyskano z literatury. Jako wyjście z modelu stworzono bazę danych, która zawiera wszystkie zebrane dane odnoszące się do zarządzania jakością wód gruntowych. Wyjście tego koncepcyjnego modelu może być użyte jako wejście do modeli ilościowych i matematycznych. Uzyskane wyniki świadczą, że najlepsze wskaźniki do analizy jakości wód gruntowych na badanym obszarze stanowiło 6 parametrów (siarczany, żelazo, azotany, przewodnictwo elektrolityczne, wapń i suma substancji rozpuszczonych). Ponad 50% studni wiercono do poziomu zwierciadła ok. 5 m. W warunkach tak małych głębokości można spodziewać się znacznej dostawy ładunku zanieczyszczeń. Spośród badanych studni 78% było usytuowanych w promieniu 5 km od terenów miejskich. Uzyskane wyniki pozwalają sądzić, że aktywność miejska może wpływać na jakość wód gruntowych.
Wydawca
Czasopismo
Rocznik
Tom
Strony
149--160
Opis fizyczny
Bibliogr. 39 poz., rys., tab.
Twórcy
autor
- Islamic Azad University, Young Researchers and Elites Club, Science and Research Branch, Tehran, Iran
autor
- University of Tehran, Faculty of New Sciences and Technologies, 16th Azar St., Enghelab Sq., 1417466191, Tehran, Iran
Bibliografia
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Uwagi
Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2018).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-402a569b-31ed-48d1-9f93-fcb3b1266e23