Matches in SemOpenAlex for { <https://semopenalex.org/work/W2022753491> ?p ?o ?g. }
Showing items 1 to 84 of
84
with 100 items per page.
- W2022753491 endingPage "333" @default.
- W2022753491 startingPage "325" @default.
- W2022753491 abstract "ABSTRACT The Kansas Geological Survey is pursuing an effort to automate some of the more common methods of aquifer pumping‐test analysis. This paper discusses the results of work done on the leaky artesian aquifer as defined by Hantush and Jacob (1955). The paper covers the basic theory of the aquifer type, the numerical solution of the leaky artesian‐well function, and the methodology of achieving the “best fit” parameters in the least squares' sense. Several data sets are used to demonstrate the applicability of the proposed technique. These examples indicate the generally satisfactory results produced by the automated analysis documented here. The algorithm has good convergence properties. Initial estimates for the aquifer parameters may vary by about three orders of magnitude above or below the correct values. For typical data sets the rms fitting error should be less than a few tenths of a foot. If this is not the case, one is probably not dealing with a simple leaky aquifer. This method of pumping‐test analysis does not eliminate the role of an experienced hydrologist to define the local hydrogeology and aquifer type. However, once the decision is made as to which aquifer configuration is being observed, this program will, in a quick and unbiased fashion, give an accurate assessment of the leaky‐aquifer parameters within the limits of the theoretical approximations and the data quality." @default.
- W2022753491 created "2016-06-24" @default.
- W2022753491 creator A5026732646 @default.
- W2022753491 creator A5091083502 @default.
- W2022753491 creator A5068744376 @default.
- W2022753491 date "1982-05-01" @default.
- W2022753491 modified "2023-10-09" @default.
- W2022753491 title "Analysis of Leaky Aquifer Pumping Test Data: An Automated Numerical Solution Using Sensitivity Analysis" @default.
- W2022753491 cites W1973344191 @default.
- W2022753491 cites W1978989509 @default.
- W2022753491 cites W2034097464 @default.
- W2022753491 cites W2042509761 @default.
- W2022753491 cites W2073422405 @default.
- W2022753491 cites W2085715140 @default.
- W2022753491 cites W2121414189 @default.
- W2022753491 cites W2157464157 @default.
- W2022753491 cites W2159681628 @default.
- W2022753491 doi "https://doi.org/10.1111/j.1745-6584.1982.tb01353.x" @default.
- W2022753491 hasPublicationYear "1982" @default.
- W2022753491 type Work @default.
- W2022753491 sameAs 2022753491 @default.
- W2022753491 citedByCount "23" @default.
- W2022753491 countsByYear W20227534912023 @default.
- W2022753491 crossrefType "journal-article" @default.
- W2022753491 hasAuthorship W2022753491A5026732646 @default.
- W2022753491 hasAuthorship W2022753491A5068744376 @default.
- W2022753491 hasAuthorship W2022753491A5091083502 @default.
- W2022753491 hasConcept C127313418 @default.
- W2022753491 hasConcept C127413603 @default.
- W2022753491 hasConcept C16910744 @default.
- W2022753491 hasConcept C174091901 @default.
- W2022753491 hasConcept C187320778 @default.
- W2022753491 hasConcept C199360897 @default.
- W2022753491 hasConcept C21200559 @default.
- W2022753491 hasConcept C24326235 @default.
- W2022753491 hasConcept C2780103101 @default.
- W2022753491 hasConcept C28826006 @default.
- W2022753491 hasConcept C33556824 @default.
- W2022753491 hasConcept C33923547 @default.
- W2022753491 hasConcept C41008148 @default.
- W2022753491 hasConcept C44259058 @default.
- W2022753491 hasConcept C47291792 @default.
- W2022753491 hasConcept C75622301 @default.
- W2022753491 hasConcept C76177295 @default.
- W2022753491 hasConcept C97512367 @default.
- W2022753491 hasConceptScore W2022753491C127313418 @default.
- W2022753491 hasConceptScore W2022753491C127413603 @default.
- W2022753491 hasConceptScore W2022753491C16910744 @default.
- W2022753491 hasConceptScore W2022753491C174091901 @default.
- W2022753491 hasConceptScore W2022753491C187320778 @default.
- W2022753491 hasConceptScore W2022753491C199360897 @default.
- W2022753491 hasConceptScore W2022753491C21200559 @default.
- W2022753491 hasConceptScore W2022753491C24326235 @default.
- W2022753491 hasConceptScore W2022753491C2780103101 @default.
- W2022753491 hasConceptScore W2022753491C28826006 @default.
- W2022753491 hasConceptScore W2022753491C33556824 @default.
- W2022753491 hasConceptScore W2022753491C33923547 @default.
- W2022753491 hasConceptScore W2022753491C41008148 @default.
- W2022753491 hasConceptScore W2022753491C44259058 @default.
- W2022753491 hasConceptScore W2022753491C47291792 @default.
- W2022753491 hasConceptScore W2022753491C75622301 @default.
- W2022753491 hasConceptScore W2022753491C76177295 @default.
- W2022753491 hasConceptScore W2022753491C97512367 @default.
- W2022753491 hasIssue "3" @default.
- W2022753491 hasLocation W20227534911 @default.
- W2022753491 hasOpenAccess W2022753491 @default.
- W2022753491 hasPrimaryLocation W20227534911 @default.
- W2022753491 hasRelatedWork W1428394715 @default.
- W2022753491 hasRelatedWork W1490232423 @default.
- W2022753491 hasRelatedWork W1605598282 @default.
- W2022753491 hasRelatedWork W2106547744 @default.
- W2022753491 hasRelatedWork W2113100257 @default.
- W2022753491 hasRelatedWork W2165676261 @default.
- W2022753491 hasRelatedWork W2313472990 @default.
- W2022753491 hasRelatedWork W2490018454 @default.
- W2022753491 hasRelatedWork W2889987503 @default.
- W2022753491 hasRelatedWork W4255640656 @default.
- W2022753491 hasVolume "20" @default.
- W2022753491 isParatext "false" @default.
- W2022753491 isRetracted "false" @default.
- W2022753491 magId "2022753491" @default.
- W2022753491 workType "article" @default.