Introductory technical guidance for civil engineers and environmental engineers interested in reservoir water quality data collection and analysis. Here is what is discussed: 1. PURPOSE, 2. OVERVIEW, 3. FIELD DATA COLLECTION PRINCIPLES, 4. SAMPLING DESIGNS, 5. FIELD SAMPLING AND ANALYSIS, 6. LABORATORY ANALYSIS, 7. DATABASE MANAGEMENT SYSTEMS, 8. SELECTION CRITERIA, 9. DATA PRESENTATION METHODS, 10. SUMMARY TABLES 11. PRESENTATIONS, 12. QUALITY ASSURANCE, 13. STATISTICAL ANALYSIS.

Introductory technical guidance for civil engineers and environmental engineers interested in water quality assessment. Here is what is discussed: 1. ESTABLISHING OBJECTIVES, 2. DESIGN CONSIDERATIONS, 3. ELEMENTS OF ASSESSMENT, 4. PREIMPOUNDMENT ASSESSMENT, 5. POSTIMPOUNDMENT ASSESSMENT, 6. OPERATIONAL MONITORING, 7. MODIFICATION OF OPERATIONS, 8. MODIFICATION OF WATER CONTROL STRUCTURES, 9. SPECIFIC WATER QUALITY PROBLEMS.

Introductory technical guidance for civil engineers, environmental engineers and water resources engineers interested in reservoir water quality. Here is what is discussed: 1. PURPOSE, 2. OVERVIEW, 3. FIELD DATA COLLECTION PRINCIPLES, 4. SAMPLING DESIGNS, 5. FIELD SAMPLING AND ANALYSIS, 6. LABORATORY ANALYSIS, 7. DATABASE MANAGEMENT SYSTEMS, 8. SELECTION CRITERIA, 9. DATA PRESENTATION METHODS, 10. SUMMARY TABLES, 11. PRESENTATIONS, 12. QUALITY ASSURANCE, 13. STATISTICAL ANALYSIS.

This publication provides introductory technical guidance for civil engineers, environmental engineers and other professional engineers and scientists interested in the collection and analysis of environmental data for reservoirs. Here is what is discussed: 1. PURPOSE 2. OVERVIEW 3. FIELD DATA COLLECTION PRINCIPLES 4. SAMPLING DESIGNS 5. FIELD SAMPLING AND ANALYSIS 6. LABORATORY ANALYSIS 7. DATABASE MANAGEMENT SYSTEMS 8. SELECTION CRITERIA 9. DATA PRESENTATION METHODS 10. SUMMARY TABLES 11. PRESENTATIONS 12. QUALITY ASSURANCE 13. STATISTICAL ANALYSIS.

Data Analytics in Reservoir Engineering describes the relevance of data analytics for the oil and gas industry, with particular emphasis on reservoir engineering.

Introductory technical guidance for Professional Engineers interested in chemistry of dam seepage. Here is what is discussed: 1. INTRODUCTION, 2. WEATHERING AND GEOCHEMISTRY, 3. WEATHERING AND WATER QUALITY, 4. OTHER PROCESSES AFFECTING SEEPAGE CHEMISTRY, 5. MIXING AND HYDROLOGIC FACTORS.

New York City's municipal water supply system provides about 1 billion gallons of drinking water a day to over 8.5 million people in New York City and about 1 million people living in nearby Westchester, Putnam, Ulster, and Orange counties. The combined water supply system includes 19 reservoirs and three controlled lakes with a total storage capacity of approximately 580 billion gallons. The city's Watershed Protection Program is intended to maintain and enhance the high quality of these surface water sources. Review of the New York City Watershed Protection Program assesses the efficacy and future of New York City's watershed management activities. The report identifies program areas that may require future change or action, including continued efforts to address turbidity and responding to changes in reservoir water quality as a result of climate change.

This book presents the basic principles for evaluating water quality and treatment plant performance in a clear, innovative and didactic way, using a combined approach that involves the interpretation of monitoring data associated with (i) the basic processes that take place in water bodies and in water and wastewater treatment plants and (ii) data management and statistical calculations to allow a deep interpretation of the data. This book is problem-oriented and works from practice to theory, covering most of the information you will need, such as (a) obtaining flow data and working with the concept of loading, (b) organizing sampling programmes and measurements, (c) connecting laboratory analysis to data management, (e) using numerical and graphical methods for describing monitoring data (descriptive statistics), (f) understanding and reporting removal efficiencies, (g) recognizing symmetry and asymmetry in monitoring data (normal and log-normal distributions), (h) evaluating compliance with targets and regulatory standards for effluents and water bodies, (i) making comparisons with the monitoring data (tests of hypothesis), (j) understanding the relationship between monitoring variables (correlation and regression analysis), (k) making water and mass balances, (l) understanding the different loading rates applied to treatment units, (m) learning the principles of reaction kinetics and reactor hydraulics and (n) performing calibration and verification of models. The major concepts are illustrated by 92 fully worked-out examples, which are supported by 75 freely-downloadable Excel spreadsheets. Each chapter concludes with a checklist for your report. If you are a student, researcher or practitioner planning to use or already using treatment plant and water quality monitoring data, then this book is for you! 75 Excel spreadsheets are available to download.

Introductory technical guidance for civil and environmental engineers in collection and analysis of reservoir water quality data. Here is what is discussed:1. PURPOSE 2. OVERVIEW 3. FIELD DATA COLLECTION PRINCIPLES 4. SAMPLING DESIGNS 5. FIELD SAMPLING AND ANALYSIS 6. LABORATORY ANALYSIS 7. DATABASE MANAGEMENT SYSTEMS 8. SELECTION CRITERIA 9. DATA PRESENTATION METHODS 10. SUMMARY TABLES 11. PRESENTATIONS 12. QUALITY ASSURANCE 13. STATISTICAL ANALYSIS.