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United States. National Resources Committee. Special Advisory Committee on Standards and Specifications for Hydrologic Data,United States. National Resources Planning Board
Author : United States. National Resources Committee. Special Advisory Committee on Standards and Specifications for Hydrologic Data,United States. National Resources Planning Board Publisher : Unknown Page : 108 pages File Size : 54,5 Mb Release : 1940 Category : Hydrology ISBN : UIUC:30112104106593
Deficiencies in Hydrologic Research by United States. National Resources Committee. Special Advisory Committee on Standards and Specifications for Hydrologic Data,United States. National Resources Planning Board Pdf
United States. National Resources Committee. Special Advisory Committee on Standards and Specifications for Hydrologic Data
Author : United States. National Resources Committee. Special Advisory Committee on Standards and Specifications for Hydrologic Data Publisher : Unknown Page : 70 pages File Size : 40,7 Mb Release : 1935 Category : Water-supply ISBN : IND:30000120145465
Standards and Specifications for Hydrologic Data by United States. National Resources Committee. Special Advisory Committee on Standards and Specifications for Hydrologic Data Pdf
Statistical Methods in Water Resources by D.R. Helsel,R.M. Hirsch Pdf
Data on water quality and other environmental issues are being collected at an ever-increasing rate. In the past, however, the techniques used by scientists to interpret this data have not progressed as quickly. This is a book of modern statistical methods for analysis of practical problems in water quality and water resources. The last fifteen years have seen major advances in the fields of exploratory data analysis (EDA) and robust statistical methods. The 'real-life' characteristics of environmental data tend to drive analysis towards the use of these methods. These advances are presented in a practical and relevant format. Alternate methods are compared, highlighting the strengths and weaknesses of each as applied to environmental data. Techniques for trend analysis and dealing with water below the detection limit are topics covered, which are of great interest to consultants in water-quality and hydrology, scientists in state, provincial and federal water resources, and geological survey agencies. The practising water resources scientist will find the worked examples using actual field data from case studies of environmental problems, of real value. Exercises at the end of each chapter enable the mechanics of the methodological process to be fully understood, with data sets included on diskette for easy use. The result is a book that is both up-to-date and immediately relevant to ongoing work in the environmental and water sciences.
Great Lakes Monthly Hydrologic Data by Frank H. Quinn,Raymond N. Kelley Pdf
Accurate values of monthly hydrologic data are required for simulation, forecasting, and water resource studies of the Great Lakes and their basins. This report summarizes the monthly hydrologic data currently used by the Great Lakes Environmental Research Laboratory in their hydrologic and water resources studies of the Great Lakes. The data consist of precipitation, runoff, evaporation, connecting channel flows, diversions, beginning-of-month lake levels, and rates of change in storage.
Standards and Specifications for Hydrologic Data by United States. National Resources Committee. Water Resources Committee. Special Advisory Committee Pdf
United States. National Resources Committee. Special Advisory Committee on Standards and Specifications for Hydrologic Data
Author : United States. National Resources Committee. Special Advisory Committee on Standards and Specifications for Hydrologic Data Publisher : Unknown Page : 74 pages File Size : 48,9 Mb Release : 1936 Category : Water-supply ISBN : IND:32000004244895
Deficiencies in Basic Hydrologic Data by United States. National Resources Committee. Special Advisory Committee on Standards and Specifications for Hydrologic Data Pdf
Hydrological Data Driven Modelling by Renji Remesan,Jimson Mathew Pdf
This book explores a new realm in data-based modeling with applications to hydrology. Pursuing a case study approach, it presents a rigorous evaluation of state-of-the-art input selection methods on the basis of detailed and comprehensive experimentation and comparative studies that employ emerging hybrid techniques for modeling and analysis. Advanced computing offers a range of new options for hydrologic modeling with the help of mathematical and data-based approaches like wavelets, neural networks, fuzzy logic, and support vector machines. Recently machine learning/artificial intelligence techniques have come to be used for time series modeling. However, though initial studies have shown this approach to be effective, there are still concerns about their accuracy and ability to make predictions on a selected input space.
