Scientific Research An Academic Publisher
OPEN ACCESS
Add your e-mail address to receive free newsletters from SCIRP.
Select Journal AA AAD AAR AASoci AAST ABB ABC ABCR ACES ACS ACT AD ADR AE AER AHS AID AiM AIT AJAC AJC AJCC AJCM AJIBM AJMB AJOR AJPS ALAMT ALC ALS AM AMI AMPC ANP APD APE APM ARS ARSci AS ASM BLR CC CE CellBio ChnStd CM CMB CN CRCM CS CSTA CUS CWEEE Detection EMAE ENG EPE ETSN FMAR FNS GEP GIS GM Graphene GSC Health IB ICA IIM IJAA IJAMSC IJCCE IJCM IJCNS IJG IJIDS IJIS IJMNTA IJMPCERO IJNM IJOC IJOHNS InfraMatics JACEN JAMP JASMI JBBS JBCPR JBiSE JBM JBNB JBPC JCC JCDSA JCPT JCT JDAIP JDM JEAS JECTC JEMAA JEP JFCMV JFRM JGIS JHEPGC JHRSS JIBTVA JILSA JIS JMF JMGBND JMMCE JMP JPEE JQIS JSBS JSEA JSEMAT JSIP JSS JSSM JST JTR JTST JTTs JWARP LCE MC ME MI MME MNSMS MPS MR MRC MRI MSA MSCE NJGC NM NR NS OALib OALibJ ODEM OJA OJAB OJAcct OJAnes OJAP OJApo OJAppS OJAPr OJAS OJBD OJBIPHY OJBM OJC OJCB OJCD OJCE OJCM OJD OJDer OJDM OJE OJEE OJEM OJEMD OJEpi OJER OJF OJFD OJG OJGas OJGen OJI OJIC OJIM OJINM OJL OJM OJMC OJMetal OJMH OJMI OJMIP OJML OJMM OJMN OJMP OJMS OJMSi OJN OJNeph OJO OJOG OJOGas OJOp OJOph OJOPM OJOTS OJPathology OJPC OJPChem OJPed OJPM OJPP OJPS OJPsych OJRA OJRad OJRD OJRM OJS OJSS OJSST OJST OJSTA OJTR OJTS OJU OJVM OPJ POS PP PST PSYCH SAR SCD SGRE SM SN SNL Soft SS TEL TI UOAJ VP WET WJA WJCD WJCMP WJCS WJET WJM WJNS WJNSE WJNST WJV WSN YM
More>>
Al-Ani, H., Oh, E. and Chai, G. (2014) GIS-Based Examination of Peats and Soils in Surfers Paradise, Australia. Soil Science Annual, 65, 29-38. http://dx.doi.org/10.2478/ssa-2014-0005
has been cited by the following article:
TITLE: Mapping of the Water Table Levels of Unconfined Aquifers Using Two Interpolation Methods
AUTHORS: Oswaldo Augusto Filho, Wanessa Soares, Clemente Iriguay Fernandéz
KEYWORDS: Water Table, Deterministic and Geostatistical Interpolation Methods, SPT Boreholes, Geological-Geotechnical Database
JOURNAL NAME: Journal of Geographic Information System, Vol.8 No.4, August 3, 2016
ABSTRACT: The spatial prediction of the water table can be used for many applications related to civil works (foundations, excavations) and other urban and environmental management activities. Deterministic and geostatistical interpolation methods were used to predict the spatial distribution of water table levels (unconfined aquifers) of important geological formations of the Joao Pessoa City (capital of Paraiba State, Brazil) with dense urban occupation and high demand for new civil works. The deterministic (topo to raster) and geostatistical (ordinary kriging) interpolation methods were evaluated using a Geographic Information System (GIS)-based investigation. The water table levels were obtained from 276 boring logs of Standard Penetration Test (SPT) in situ investigation distributed over the geological formations studied (an area of 59.8 km2, covering 40 districts of the Joao Pessoa City). The Nspt values and textural characterization data are stored for levels of 1 m depth. Some boreholes located in the area investigated were not included in the interpolation processes in order to be compared with estimated values (validation of the results). Maps of the water table depths were also produced to further analyze the quality of the water table surfaces interpolated by both methods. The phreatic surface interpolations provided satisfactory results for both methods (RMSE = 1.8 m). The topo to raster method showed a slight general tendency to be less affected by local values in relation to the kriging method and also has the advantage of integrating the drainage flow system, which is a relevant aspect for spatial models of the water table levels of unconfined aquifers. The ordinary kriging (geostatistical method) provides a prediction surface and some measure of the certainty or accuracy of the predictions.
Related Articles:
GIS Based Soil Loss Estimation Using RUSLE Model: The Case of Jabi Tehinan Woreda, ANRS, Ethiopia
Tadesse Amsalu, Abebe Mengaw
DOI: 10.4236/nr.2014.511054 6,145 Downloads 7,685 Views Citations
Pub. Date: August 26, 2014
Sq (H) Solar Variation at Yaoundé-Cameroon AMBER Station from 2011 to 2014
Messanga Etoundi Honoré, Fatma Anad, Ngabireng Claude Marie, Mbane Biouele César
DOI: 10.4236/ijg.2017.84029 1,574 Downloads 2,172 Views Citations
Pub. Date: April 28, 2017
Double Trouble in a Tropical Paradise
Adelyn Henry, Ganesh Kasinathan
DOI: 10.4236/oalib.1104325 341 Downloads 632 Views Citations
Pub. Date: January 29, 2018
Using Geotechnology to Estimate Annual Soil Loss Rate in the Brazilian Cerrado
Luciene Gomes, Silvio J. C. Simões, Maria C. Forti, Jean Pierre H. B. Ometto, Eloi L. Dalla Nora
DOI: 10.4236/jgis.2017.94026 1,237 Downloads 2,225 Views Citations
Pub. Date: July 28, 2017
Surface Hardness as an Indicator of Soil Strength of Agricultural Soils
Gaius D. Eudoxie, Dennison Phillips, Raymond Springer
DOI: 10.4236/ojss.2012.24040 5,613 Downloads 8,250 Views Citations
Pub. Date: December 31, 2012