Data requirements for modeling a ground water system in an arid region / Kunkel, F.

Public ISBD Titre : Data requirements for modeling a ground water system in an arid region Type de document : texte imprimé Auteurs : Kunkel, F. Mention d'édition : U.S Geological Survey Editeur : U.S Geological survey Année de publication : 1973 ISBN/ISSN/EAN : CI-06689 Note générale : The mathematical formulas are known and the computer capability exists that permits one to accurately model an interrelated surface- and ground water system in an arid region, if the required data can be essembled. Existing data are often, insufficient to provide the nnede inputs to construct and verify a model that will be adequate for predicting future water levels. However, even unverified models may be of considerable value in providing the basis for determing the direction and scope of future data-collection, programs to insure maximum veturn. Langues : Anglais (eng) Mots-clés : Hydrologie  Eau souterraine  Région aride Index. décimale : 551.48 Hydrologie : Résumé : The mathematical formulas are known and the computer capability exists that permits one to accurately model an interrelated surface- and ground water system in an arid region, if the required data can be essembled. Existing data are often, insufficient to provide the nnede inputs to construct and verify a model that will be adequate for predicting future water levels. However, even unverified models may be of considerable value in providing the basis for determing the direction and scope of future data-collection, programs to insure maximum veturn. Note de contenu : The mathematical formulas are known and the computer capability exists that permits one to accurately model an interrelated surface- and ground water system in an arid region, if the required data can be essembled. Existing data are often, insufficient to provide the nnede inputs to construct and verify a model that will be adequate for predicting future water levels. However, even unverified models may be of considerable value in providing the basis for determing the direction and scope of future data-collection, programs to insure maximum veturn. Data requirements for modeling a ground water system in an arid region [texte imprimé] / Kunkel, F.  . -  U.S Geological Survey . - U.S Geological survey, 1973. ISSN : CI-06689 The mathematical formulas are known and the computer capability exists that permits one to accurately model an interrelated surface- and ground water system in an arid region, if the required data can be essembled. Existing data are often, insufficient to provide the nnede inputs to construct and verify a model that will be adequate for predicting future water levels. However, even unverified models may be of considerable value in providing the basis for determing the direction and scope of future data-collection, programs to insure maximum veturn. Langues : Anglais (eng) Mots-clés : Hydrologie  Eau souterraine  Région aride Index. décimale : 551.48 Hydrologie : Résumé : The mathematical formulas are known and the computer capability exists that permits one to accurately model an interrelated surface- and ground water system in an arid region, if the required data can be essembled. Existing data are often, insufficient to provide the nnede inputs to construct and verify a model that will be adequate for predicting future water levels. However, even unverified models may be of considerable value in providing the basis for determing the direction and scope of future data-collection, programs to insure maximum veturn. Note de contenu : The mathematical formulas are known and the computer capability exists that permits one to accurately model an interrelated surface- and ground water system in an arid region, if the required data can be essembled. Existing data are often, insufficient to provide the nnede inputs to construct and verify a model that will be adequate for predicting future water levels. However, even unverified models may be of considerable value in providing the basis for determing the direction and scope of future data-collection, programs to insure maximum veturn.

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