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Stochastic and Statistical Methods in Hydrology and Environmental Engineering

Editat de Keith W Hipel, A Ian McLeod, U S Panu, V P Singh, Fang Liping Fang, Liping Fang
en Limba Engleză Hardback – 30 sep 1994
World renowned scientists present valuable contributions to stochastic and statistical modelling of groundwater and surface water systems. The philosophy of probabilistic modelling in the hydrological sciences is put into proper perspective and the importance of stochastic differential equations in the environmental sciences is explained and illustrated. The new research ideas put forward in groundwater modelling will assist decision makers in tackling challenging problems such as controlling pollution of underground aquifers and obtaining adequate water supplies. Additionally, different types of stochastic models are used in modelling a range of interesting surface water problems. Other topics covered in this landmark volume include stochastic optimization, moment analysis, carbon dioxide modelling and rainfall prediction. AudienceThe book is of interest to researchers, teachers, students and practitioners who wish to be at the leading edge of stochastic and statistical modelling in the environmental sciences.
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Specificații

ISBN-13: 9780792327578
ISBN-10: 0792327578
Pagini: 396
Dimensiuni: 160 x 241 x 27 mm
Greutate: 0.76 kg
Ediția:2nd Revised edition
Editura: Springer
Locul publicării:Dordrecht, Netherlands

Public țintă

Research

Cuprins

PrefaceDedicationAcknowledgementsPart I: General IssuesPart II: GroundwaterPart III: Surface WaterPart IV: Stochastic Optimization. Part V: Moment AnalysisPart VI: Other TopicsAuthor IndexSubject Index

Textul de pe ultima copertă

World renowned scientists present valuable contributions to stochastic and statistical modelling of groundwater and surface water systems. The philosophy of probabilistic modelling in the hydrological sciences is put into proper perspective and the importance of stochastic differential equations in the environmental sciences is explained and illustrated. The new research ideas put forward in groundwater modelling will assist decision makers in tackling challenging problems such as controlling pollution of underground aquifers and obtaining adequate water supplies. Additionally, different types of stochastic models are used in modelling a range of interesting surface water problems. Other topics covered in this landmark volume include stochastic optimization, moment analysis, carbon dioxide modelling and rainfall prediction. AudienceThe book is of interest to researchers, teachers, students and practitioners who wish to be at the leading edge of stochastic and statistical modelling in the environmental sciences.