Decision Support Systems

Decision Support Systems
Author: Daniel P. Loucks
Publisher: Springer Science & Business Media
Total Pages: 578
Release: 2013-06-29
Genre: Technology & Engineering
ISBN: 3642760481

Proceedings of the NATO Advanced Research Workshop on Computer-Aided Support Systems for Water Resources, Research and Management held at Ericeira (Portugal), 24-28 September, 1990.

Transactions of the American Society of Civil Engineers

Transactions of the American Society of Civil Engineers
Author: American Society of Civil Engineers
Publisher:
Total Pages: 904
Release: 1998
Genre: Civil engineering
ISBN:

Vols. 29-30 include papers of the International Engineering Congress, Chicago, 1893; v. 54 includes papers of the International Engineering Congress, St. Louis, 1904.

Runoff Prediction in Ungauged Basins

Runoff Prediction in Ungauged Basins
Author: Günter Blöschl
Publisher: Cambridge University Press
Total Pages: 491
Release: 2013-04-18
Genre: Science
ISBN: 1107067553

Predicting water runoff in ungauged water catchment areas is vital to practical applications such as the design of drainage infrastructure and flooding defences, runoff forecasting, and for catchment management tasks such as water allocation and climate impact analysis. This full colour book offers an impressive synthesis of decades of international research, forming a holistic approach to catchment hydrology and providing a one-stop resource for hydrologists in both developed and developing countries. Topics include data for runoff regionalisation, the prediction of runoff hydrographs, flow duration curves, flow paths and residence times, annual and seasonal runoff, and floods. Illustrated with many case studies and including a final chapter on recommendations for researchers and practitioners, this book is written by expert authors involved in the prestigious IAHS PUB initiative. It is a key resource for academic researchers and professionals in the fields of hydrology, hydrogeology, ecology, geography, soil science, and environmental and civil engineering.

Scale Issues in Hydrological Modelling

Scale Issues in Hydrological Modelling
Author: J. D. Kalma
Publisher: John Wiley & Sons
Total Pages: 518
Release: 1995-09-11
Genre: Science
ISBN:

There is a growing need for appropriate models which address the management of land and water resources and ecosystems at large space and time scales. Theories of non-linear hydrological processes must be extrapolated to large-scale, three-dimensional natural systems such as drainage basins, flood plains and wetlands. This book reports on recent progress in research on scale issues in hydrological modelling. It brings together 27 papers from two special issues of the journal Hydrological Processes. The book makes a significant contribution towards developing research strategies for linking model parameterisations across a range of temporal and spatial scales. The papers selected for this book reflect the tremendous advances which have been made in research into scale issues in hydrological modelling during the last ten years.

XGBoost With Python

XGBoost With Python
Author: Jason Brownlee
Publisher: Machine Learning Mastery
Total Pages: 117
Release: 2016-08-05
Genre: Computers
ISBN:

XGBoost is the dominant technique for predictive modeling on regular data. The gradient boosting algorithm is the top technique on a wide range of predictive modeling problems, and XGBoost is the fastest implementation. When asked, the best machine learning competitors in the world recommend using XGBoost. In this Ebook, learn exactly how to get started and bring XGBoost to your own machine learning projects.