Quantitative Information Fusion for Hydrological Sciences
In a rapidly evolving world of knowledge and technology, do you ever wonder how hydrology is catching up? This book takes the angle of computational hydrology and envisions one of the future directions, namely, quantitative integration of high-quality hydrologic field data with geologic, hydrologic,...
Na minha lista:
| Autor principal: | |
|---|---|
| Outros Autores: | |
| Formato: | Livre numérique |
| Idioma: | Anglais |
| Publicado em: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| Edição: | 1st ed. 2008. |
| Colecção: | Studies in Computational Intelligence
79 |
| Acesso em linha: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Nota: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Quantitative information fusion for hydrological sciences, Xing Cai, T.-C. Jim Yeh (eds.), Berlin, Springer, 2008, 1 vol. (VIII-218 p.), Studies in computational intelligence, 978-3-540-75383-4 |
| LEADER | 03653nam a22003377a 4500 | ||
|---|---|---|---|
| 001 | 940265 | ||
| 008 | 080505q2000 xxe ||| |||| 00| 0 eng d | ||
| 009 | PPN123742668 | ||
| 020 | |a 9783540753841 | ||
| 041 | 0 | |a eng | |
| 082 | |a 519 | ||
| 100 | 1 | |a Cai, Xing. | |
| 245 | 1 | 0 | |a Quantitative Information Fusion for Hydrological Sciences |c edited by Xing Cai, T. -C. Jim Yeh. |
| 250 | |a 1st ed. 2008. | ||
| 260 | |a Berlin, Heidelberg : |b Springer Berlin Heidelberg. | ||
| 260 | |a Cham : |b Springer Nature, |c [20..]. | ||
| 490 | 0 | |a Studies in Computational Intelligence |v 79 |x 1860-9503 | |
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 505 | 1 | |a Data Fusion Methods for Integrating Data-driven Hydrological Models A New Paradigm for Groundwater Modeling Information Fusion using the Kalman Filter based on Karhunen-Loève Decomposition Trajectory-Based Methods for Modeling and Characterization The Role of Streamline Models for Dynamic Data Assimilation in Petroleum Engineering and Hydrogeology Information Fusion in Regularized Inversion of Tomographic Pumping Tests Advancing the Use of Satellite Rainfall Datasets for Flood Prediction in Ungauged Basins: The Role of Scale, Hydrologic Process Controls and the Global Precipitation Measurement Mission Integrated Methods for Urban Groundwater Management Considering Subsurface Heterogeneity | |
| 506 | |a Accès en ligne pour les établissements français bénéficiaires des licences nationales | ||
| 506 | |a Accès soumis à abonnement pour tout autre établissement | ||
| 506 | |a Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. https://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017 | ||
| 520 | |a In a rapidly evolving world of knowledge and technology, do you ever wonder how hydrology is catching up? This book takes the angle of computational hydrology and envisions one of the future directions, namely, quantitative integration of high-quality hydrologic field data with geologic, hydrologic, chemical, atmospheric, and biological information to characterize and predict natural systems in hydrological sciences. Intelligent computation and information fusion are the key words. The aim is to provide both established scientists and graduate students with a summary of recent developments in this topic. The chapters of this edited volume cover some of the most important ingredients for quantitative hydrological information fusion, including data fusion techniques, interactive computational environments, and supporting mathematical and numerical methods. Real-life applications of hydrological information fusion are also addressed | ||
| 700 | 1 | |a Yeh, Tian-Chyi, |d 19..- |4 edt | |
| 776 | 0 | |0 122201299 |t Quantitative information fusion for hydrological sciences |f Xing Cai, T.-C. Jim Yeh (eds.) |c Berlin |n Springer |d 2008 |p 1 vol. (VIII-218 p.) |s Studies in computational intelligence |z 978-3-540-75383-4 | |
| 856 | 4 | |q PDF |u https://doi.org/10.1007/978-3-540-75384-1 |z Accès sur la plateforme de l'éditeur | |
| 856 | 4 | |u https://revue-sommaire.istex.fr/ark:/67375/8Q1-JK9KSFBH-R |z Accès sur la plateforme Istex | |
| 856 | 4 | |5 452349901:747862680 |u https://ezproxy.univ-orleans.fr/login?url=https://dx.doi.org/10.1007/978-3-540-75384-1 |z Accès Université d'Orléans | |
| 856 | 4 | |5 180339901:750880228 |u https://ezproxy.insa-cvl.fr/login?qurl=https://dx.doi.org/10.1007/978-3-540-75384-1 |z Accès INSA CVL | |
| 997 | |0 940265 |1 Livre numérique |a Ressource numérique |b INSA |b ENSA |c 0/Bibliothèque numérique/ |c 1/Bibliothèque numérique/Autre ressource numérique/ | ||