Development and testing of three hybrid methods for the assessment of aquifer vulnerability to nitrates, based on the drastic model, an example from NE Korinthia, Greece

被引:139
作者
Antonakos, A. K. [1 ]
Lambrakis, N. J. [1 ]
机构
[1] Univ Patras, Dept Geol, Rion 26500, Greece
关键词
aquifer vulnerability; drastic; Korinthia; Greece; logistic regression; weights of evidence;
D O I
10.1016/j.jhydrol.2006.08.014
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
The assessment of groundwater vulnerability to pollution has proved to be an effective tool. for the delineation of protection zones in areas affected by groundwater contamination due to the intensive fertilizer applications. The main objective of this study has been to develop and check the results of three hybrid methods for specific aquifer vulnerability assessment based upon the parameters, classification and rating principles of the wet[ known DRASTIC model. The first method, proposed by [Panagopoulos, G., Antonakos, A., Lambrakis, N., 2006. Optimization of DRASTIC model for groundwater vulnerability assessment, by the use of simple statistical methods and GIS. Hydrogeology Journal (published online).], has proved to be an effective way to modify the DRASTIC model. in order to achieve better correlation with actual nitrates occurrence. Descriptive statistics and simple statistical tests on a hydrochemical dataset are used by the method in order to change the initial factor ratings and factor weights participating in the vulnerability assessment equation. The other two methods were developed by the use of logistic regression and weights of evidence statistical procedures and the use of the same hydrochemical dataset, and attain relatively high correlation factors when referring to sample points white correlation was significantly tower for the entire distributions of vulnerabitity estimation and actual nitrates occurrence. (c) 2006 Elsevier B.V. All. rights reserved.
引用
收藏
页码:288 / 304
页数:17
相关论文
共 62 条
[1]  
Agterberg FP., 2002, NAT RESOUR RES, V11, P249, DOI [10.1023/A:1021193827501, DOI 10.1023/A:1021193827501]
[2]  
Akaike H., 1992, Selected papers of hirotugu akaike, P610, DOI [DOI 10.1007/978-1-4612-1694-0_15, 10.1007/978-1-4612-1694-0_15]
[3]  
ALBERTI L, 2001, P IAMG ANN C CANC ME
[4]  
Aller L, 1987, EPA-600/2-87-035
[5]  
ASADI HH, 1999, P GEOCOMPUTATION, P99
[6]  
BAKER AE, 2002, PROGR GEOL SOC AM 20, V34, P346
[7]  
BONHAMCARTER GF, 1988, PHOTOGRAMM ENG REM S, V54, P1585
[8]  
BONHAMCARTER GF, 1994, GEOGRAPHIC INFORMATI
[9]  
BOSSARD M., 2000, 38 EUR ENV AG
[10]   Assessment of the bioavailability of rare earth elements in soils by chemical fractionation and multiple regression analysis [J].
Cao, XD ;
Wang, XR ;
Zhao, GW .
CHEMOSPHERE, 2000, 40 (01) :23-28