caa a22 4500 467904758 CHVBK 20180406152830.0 cr unu---uuuuu 170328e20060401xx s 000 0 eng 10.1007/s10661-006-6551-7 doi (NATIONALLICENCE)springer-10.1007/s10661-006-6551-7 Neural Network Based Automated Interpretation Algorithm for Combined Geophysical Soundings in Coastal Zones [Elektronische Daten] [Rambhatla Sastry, Haile Tesfakiros] The fresh water availability in coastal aquifers is an important problem faced by a major part of world's population dwelling there. For in situ and dynamic characterization of seawater encroachment into coastal aquifers, electrical geophysical methods are better suited. However, the resolving power of such data in distinguishing saline sands from moist clays in the subsurface is very poor. To meet this aspect and also the problem of analyzing voluminous data sets, we propose a feed forward back-propagation neural network (BPNN) based approach for the analysis of combined vertical electrical and induced polarization soundings. Our method is tested on synthetic data computed from available geo-electric sections and prevailing subsurface geological information of coastal aquifers of East Coast of India. The synthetic data are comprised of 18 combined soundings spread over five profiles. 15 out of 18 are used for training the BPNN, while 3 are used for testing. The trained BPNN (one node each in each of the input and output layers and 18 hidden nodes) showed 84.85% accuracy in testing phase for distinguishing clays from saline sands. Our method is also tested on real data concerning a shaly aquifer in Bahia, Brazil yielding an overall accuracy of 84.9%, comparable to that of synthetic case; thereby validating our approach. Springer Science + Business Media, Inc., 2006 ANN application nationallicence coastal aquifers nationallicence geo-electric surveys nationallicence Sastry Rambhatla Department of Earth Science, I.I.T, Roorkee, India aut Tesfakiros Haile Geophysicist, Phoenix Geophysics Ltd., 3781 Victoria Park Ave., Unit 3, Toronto, ON, Canada aut Environmental Monitoring and Assessment Kluwer Academic Publishers 115/1-3(2006-04-01), 175-204 0167-6369 115:1-3<175 2006 115 10661 https://doi.org/10.1007/s10661-006-6551-7 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s10661-006-6551-7 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Sastry Rambhatla Department of Earth Science, I.I.T, Roorkee, India aut NATIONALLICENCE 700 1- Tesfakiros Haile Geophysicist, Phoenix Geophysics Ltd., 3781 Victoria Park Ave., Unit 3, Toronto, ON, Canada aut NATIONALLICENCE 773 0- Environmental Monitoring and Assessment Kluwer Academic Publishers 115/1-3(2006-04-01), 175-204 0167-6369 115:1-3<175 2006 115 10661 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer