THE STUDY OF CHANGES IN ARDABIL PLAIN GROUNDWATER LEVEL USING GIS
1
Department of Environment, Ardabil Branch, Islamic Azad University, Ardabil, Iran
Publication date: 2016-03-01
Adv. Sci. Technol. Res. J. 2016; 10(29):109-115
KEYWORDS
ABSTRACT
Uncontrolled exploitation of groundwater in many parts of the world has led to a sharp drop in groundwater levels. In this study, changes in Ardabil plain groundwater level were studied using geographic information system (GIS). For this purpose, the interpolation table method was used, the intrinsic data as table data of piezo metric wells was used. In order to implement the model, the Majol Geoestatical in geographic information system software was used. The data entered as regions into the geographic information system, and then done for the entire zoning area, due to zoning 8 models, the IDW, GPI, RBF, LPI, KO, KS, KU and EBK in geostatical extension were evaluated. The ordinary kriging method (KO) with the lowest RMSE, was determined as the most accurate one, and finally, as the ultimate method for zoning and map providing for the changes in groundwater levels drop of the region. The results of classification showed that the biggest drop of about 40 meters was in the areas close to the southeastern parts of the study region and in other areas, little changes were observed, this rate of the change and decline in some parts of the desert like southern regions is very tangible and specified.
REFERENCES (14)
1.
Akbari M., Jorge M.R., Madanisadat H., Evaluation of underground water level drop using Geographic Information System (GIS). Case Study: Mashhad Plain Aquifer. Journal of Soil and Water Conservation Research, 44(4), 2009, 144–156.
2.
Razavian M.T., Ghafori Poor A., Razavian M., Green roofs. Journal of the Preparation, 2010; 215–226.
3.
Shafiee Motlagh k.h., Evaluation of a sharp drop in the underground water in the province with special attention to the sliding clutch of plain kohkiloye and Boyer ahmad. Global Water Conference, Islamic Azad University, Behbahan, 2009, 67–81.
4.
Keshavarzi H.A., Bashiri M., Ojaghlo A., Factors affecting spatial and temporal variations in groundwater salinity and depth. Case study: Ghorveh. First National Conference on the Challenges of Water Resources and Agriculture, Islamic Azad University, Khorasan. 2012, 195–213.
5.
Albertson P.E. Hennington G.W., Groundwater analysis using a geographic information system following finit-differenced and element techniques. Engineering Geology, 42, 1995, 167–173.
6.
Makoto A., Akira S., Naoki K., Tatsuhiko N., Eriko I., Yasuhiro O., Koji T., Jumpei T., Bora T., Sopheavuth P., Sopheap L. ,Saret K., Seasonal fluctuation of groundwater in an evergreen forest, central Cambodia: Experiments and two-dimensional numerical analysis. Paddy and Water Environment Journal, 6(1), 2008, 37–46.
7.
Ebrahimi A.A., Mohammadi F., Kaveh N., Malekmohamadi M. 2009. Effect of drought on wetlands using RS and GIS. In: The 5th Conference on Watershed Management (Natural Hazards Sustainable Management). Gorgan, Golestan, Iran.
8.
Makhdoum A.F., Darvishsefat A.A., Jafarzadeh H.H., Environmental evaluation and planning by geographic information system. Tehran Univ. Press, 2002, pp. 304.
9.
Walker W.R., Hrezo M.S., and Haley C.J., Management of water resources for drought condition. National Water Summery. Geological Survey Water Supply, Paper No. 2375, 1991, 147–156.
10.
Tremblay L., Larocque M., Anctil F., Rivard C., Teleconnections and interannual variability in Canadian groundwater levels. Journal of Hydrology, 410, 2011, 178–188.
11.
Grasby S.E., Chen Z., Hamblin A.P., Wozniac P.R.J., Sweet A. Regional characterization of the Paskapoo Bedrock Aquifer System, southern Alberta. Can. J. Earth Sci. 45(12), 2009, 1501–1516.
12.
Gurdak J.J., Hanson R.T., Green T.R., Effects of climate variability on groundwater resources of the United States. US Geological Survey Fact Sheet 2009–3074, 4 p.
13.
Rivard C., Vigneault H., Piggott A., Larocque M., Anctil F., Groundwater recharge trends in Canada. Can. J. Earth Sci. 46, 2009, 841–854.
14.
Toure N.M., Kanec A., Noeld J.F., Turmine V., Nedeff V., Lazare G., Water–poverty relationships in the coastal town of Mbour (Senegal): Relevance of GIS for decision support. International Journal of Applied Earth Observation and Geoinformation, 14, 2012, 33–39.
We process personal data collected when visiting the website. The function of obtaining information about users and their behavior is carried out by voluntarily entered information in forms and saving cookies in end devices. Data, including cookies, are used to provide services, improve the user experience and to analyze the traffic in accordance with the Privacy policy. Data are also collected and processed by Google Analytics tool (more).
You can change cookies settings in your browser. Restricted use of cookies in the browser configuration may affect some functionalities of the website.
You can change cookies settings in your browser. Restricted use of cookies in the browser configuration may affect some functionalities of the website.
