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To achieve this objective, two variables are analysed, the soil electrical resistivity and the flow direction algorithm. In a field survey we recorded 13 electrical resistivity profiles. The contributing area was calculated with the algorithms D\u221e (Deterministic Infinity Flow) and MFD (Multiple Flow Direction) and the results are the base of the internal runoff modelling, both supported by the digital elevation model with a spatial resolution of 1m2. A correlation between the spatial variation of the soil electrical resistivity represented by the standard deviation of the electrical resistivity for each profile and the average value of the contributing area coincident with each profile was established. The electrical resistivity standard deviation seems to be moderately well correlated according to the D\u221e algorithm at about 1m of depth, and it has a good correlation at 1,5m to 2m of depth with the MFD algorithm. Taken together, the results show a significant positive statistical correlation between the electrical resistivity standard deviation and the contributing areas (MFD and D\u221e) depending on the soil depth.<\/jats:p>","DOI":"10.1515\/opag-2017-0037","type":"journal-article","created":{"date-parts":[[2017,7,3]],"date-time":"2017-07-03T07:55:50Z","timestamp":1499068550000},"page":"329-340","source":"Crossref","is-referenced-by-count":0,"title":["Electrical resistivity and spatial variation in agriculture terraces: statistical correlation between ert and flow direction algorithms"],"prefix":"10.1515","volume":"2","author":[{"given":"J.","family":"Fernandes","sequence":"first","affiliation":[{"name":"FLUP \u2013 Faculty of Arts of the University of Porto , Portugal"}]},{"given":"C.","family":"Bateira","sequence":"additional","affiliation":[{"name":"Riskam, CEG, IGOT\/FLUP, UP, Porto Portugal"}]},{"given":"A.","family":"Costa","sequence":"additional","affiliation":[{"name":"FLUP \u2013 Faculty of Arts of the University of Porto , Portugal"}]},{"given":"B.","family":"Fonseca","sequence":"additional","affiliation":[{"name":"FLUP \u2013 Faculty of Arts of the University of Porto , Portugal"}]},{"given":"R.","family":"Moura","sequence":"additional","affiliation":[{"name":"CGUP - Geology Centre, University of Porto , Portugal"}]}],"member":"374","published-online":{"date-parts":[[2017,6,30]]},"reference":[{"key":"2022042708345235965_j_opag-2017-0037_ref_001_w2aab2b8c27b1b7b1ab1ab1Aa","doi-asserted-by":"crossref","unstructured":"Akgun A., Erkan O., Landslide susceptibility mapping by geographical information system-based multivariate statistical and deterministic models: in an artificial reservoir area at Northern Turkey. 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