Muutke küpsiste eelistusi

Online Monitoring for Drinking Water Utilities [Pehme köide]

Edited by , Edited by , Edited by
  • Formaat: Paperback / softback, 400 pages, kõrgus: 230 mm
  • Ilmumisaeg: 01-Jan-2002
  • Kirjastus: American Water Works Association,US
  • ISBN-10: 1583211837
  • ISBN-13: 9781583211830
Teised raamatud teemal:
  • Pehme köide
  • Hind: 242,20 €*
  • * saadame teile pakkumise kasutatud raamatule, mille hind võib erineda kodulehel olevast hinnast
  • See raamat on trükist otsas, kuid me saadame teile pakkumise kasutatud raamatule.
  • Kogus:
  • Lisa ostukorvi
  • Tasuta tarne
  • Lisa soovinimekirja
  • Formaat: Paperback / softback, 400 pages, kõrgus: 230 mm
  • Ilmumisaeg: 01-Jan-2002
  • Kirjastus: American Water Works Association,US
  • ISBN-10: 1583211837
  • ISBN-13: 9781583211830
Teised raamatud teemal:
Written for technical staff, managers, and other water utility personnel, this volume describes and compares international online monitoring technologies for drinking water treatment utilities. The work is the result of a joint effort by American and Italian research organizations and discusses advantages and disadvantages of online monitoring, presents case studies of state-of-the-art monitoring systems from European and North American experiences, defines research and development priorities, and identifies emerging technologies. Annotation c. Book News, Inc., Portland, OR (booknews.com)
Preface ix
Introduction
1(8)
Identification of Need
1(2)
Purpose
3(1)
Target Audience
3(1)
Overview
4(2)
Bibliography
6(3)
Rationale for Online Monitoring
9(22)
Introduction
9(2)
Selecting Online or Grab-Sample Methods
11(7)
Regulations and Online Monitoring
18(2)
Online Monitoring in Source Water
20(2)
Online Monitoring in Water Treatment
22(2)
Online Monitoring in the Distribution System
24(2)
Conclusions
26(3)
Bibliography
29(2)
Specification and Testing of Online Monitors
31(12)
Introduction
31(1)
User Specification and Selection of Online Monitors
32(2)
Testing Online Monitor Performance Characteristics
34(6)
Conclusions
40(1)
Bibliography
41(2)
Selecting Online Monitoring Equipment
43(20)
Introduction
43(1)
Equipment Selection
43(15)
Cost and Benefit Considerations
58(2)
Conclusions
60(1)
Bibliography
61(2)
Physical Monitors
63(70)
Introduction
63(1)
Turbidity
64(15)
Particles
79(11)
Color
90(7)
Conductivity/Total Dissolved Solids
97(5)
Hardness
102(8)
Alkalinity/Acidity
110(3)
Streaming Current
113(8)
Radioactivity
121(3)
Temperature
124(2)
Oxidation-Reduction Potential
126(4)
Bibliography
130(3)
Inorganic Monitors
133(30)
Introduction
133(2)
pH
135(3)
Dissolved Oxygen
138(2)
Chlorine
140(3)
Chlorine Dioxide
143(3)
Ozone
146(2)
Iron
148(2)
Manganese
150(2)
Aluminum
152(1)
Chromium
152(1)
Ammonia
153(1)
Nitrite
154(1)
Nitrate
155(1)
Phosphorus
156(2)
Fluoride
158(1)
Cyanide
158(2)
Conclusions
160(1)
Bibliography
161(2)
Organic Monitors
163(40)
Introduction
163(1)
Total Organic Carbon
164(11)
Uv Absorption
175(6)
Hydrocarbons
181(7)
Volatile Organic Compounds
188(8)
Pesticides
196(4)
New Approaches to Online Analysis of Organic Compounds
200(1)
Bibliography
201(2)
Biological Monitors
203(38)
Introduction
203(1)
Purchasing Considerations
204(1)
Biomonitors
205(13)
Algal Monitors
218(12)
Protozoan Monitors
230(5)
Conclusions
235(1)
Bibliography
235(6)
Flow, Level, and Pressure
241(48)
Introduction
241(2)
Accuracy
243(1)
Flow
243(27)
Level
270(10)
Pressure
280(6)
Quality Assurance
286(1)
Instrument Signals and Data Collection
287(1)
Conclusions
288(1)
Bibliography
288(1)
Data Handling and Validation
289(24)
Introduction
289(2)
User Requirements---System Design
291(2)
Data Quality Requirements
293(10)
Cross-Validation Methods
303(1)
Real-Time Reporting and Decision Support
304(3)
Offline Reporting and Analysis
307(1)
Compliance Reporting to Regulatory Agencies
308(1)
Public Information Support
308(1)
Post Hoc Assessments of Water Quality
308(3)
Research Support
311(1)
Predictive Modeling Support
311(1)
Conclusions
312(1)
Bibliography
312(1)
Advanced Process Control Using Online Monitors
313(12)
Introduction
313(1)
Major Components of Model-Based Advanced Process Control Systems
314(1)
Process Modeling and Control Using Artificial Intelligence Techniques
315(3)
Integration of Process Models into SCADA Systems
318(2)
Online Monitoring Requirements
320(2)
Human Involvement in Advanced Process Control Systems
322(1)
Conclusions
323(1)
Bibliography
323(2)
Case Studies of Online Monitoring Systems
325(68)
Introduction
325(2)
Ohio River (United States) Organics Detection System
327(8)
River Trent (United Kingdom) Online Monitoring of Micropollutants
335(5)
River Llobregat (Spain) Automatic Online Monitoring Network
340(7)
Rhine River (Netherlands) Source Water Quality Monitoring
347(3)
Los Angeles, California (United States) Raw Water Management System
350(11)
Genoa (Italy) Online Monitoring of Water Treatment Plant
361(5)
West Virginia (United States) Rural Water System
366(3)
Orlando, Florida (United States) Water Treatment Process Control
369(7)
Southern Nevada Water System (United States) Particle Counting at Water Treatment Plant
376(4)
Karlsruhe (Germany) Online Monitoring of Groundwater Source
380(1)
Denver, Colorado (United States) Distribution System Monitoring and Control
381(5)
Thames (England) Integrated Data Strategy for Distribution Network Management
386(3)
Cincinnati, Ohio (United States) Finished Water Storage Monitoring
389(3)
Bibliography
392(1)
Future of Online Monitoring
393(14)
Introduction
393(1)
Future Regulatory Directions
394(1)
Development Needs
395(8)
Advancement of Data-Processing Capabilities
403(2)
Conclusions
405(1)
Bibliography
406(1)
Abbreviations 407(6)
Index 413