scholarly journals Real-Time Web-Based Decision Support for Stakeholder Implementation of Basin-Scale Salinity Management

2017 ◽  
pp. 3-18
Author(s):  
Nigel W. T. Quinn ◽  
Brian Hughes ◽  
Amye Osti ◽  
Joel Herr ◽  
Elwood Raley ◽  
...  
Keyword(s):  
Decision Support ◽  
Real Time ◽  
Web Based ◽  
Basin Scale ◽  
Salinity Management

Basin-Scale, Real-Time Salinity Management Using Telemetered Sensor Networks and Model-Based Salt Assimilative Capacity Forecasts

2016 ◽  
pp. 193-220
Author(s):  
Nigel W.T. Quinn ◽  
Roberta Tassey ◽  
Jun Wang
Keyword(s):  
Real Time ◽  
Software Tool ◽  
Sensor Data ◽  
Quality Data ◽  
Monitoring Site ◽  
Data Quality Management ◽  
Web Based ◽  
Web Access ◽  
State Water ◽  
Salinity Management

This chapter describes a new approach to environmental decision support for salinity management in the San Joaquin Basin that focuses on Web-based data sharing using tools such as YSI Econet and continuous data quality management using an enterprise-level software tool WISKI. These tools offer real-time Web-access to sensor data as well as providing the owner full control over the way the data is visualized. The same websites use GIS to superimpose the monitoring site locations on maps of local hydrography and allow point and click access to the data collected at each environmental monitoring site. This information technology suite of software and hardware work together with a watershed simulation model WARMF-SJR to provide timely, reliable, and high quality data and forecasts of river salinity that can used by stakeholder decision makers to ensure compliance with state water quality objectives.

Basin-Scale, Real-Time Salinity Management Using Telemetered Sensor Networks and Model-Based Salt Assimilative Capacity Forecasts

2015 ◽  
pp. 89-117
Author(s):  
Nigel W.T. Quinn ◽  
Roberta Tassey ◽  
Jun Wang
Keyword(s):  
Real Time ◽  
Software Tool ◽  
Sensor Data ◽  
Quality Data ◽  
Monitoring Site ◽  
Data Quality Management ◽  
Web Based ◽  
Web Access ◽  
State Water ◽  
Salinity Management

This chapter describes a new approach to environmental decision support for salinity management in the San Joaquin Basin that focuses on Web-based data sharing using tools such as YSI Econet and continuous data quality management using an enterprise-level software tool WISKI. These tools offer real-time Web-access to sensor data as well as providing the owner full control over the way the data is visualized. The same websites use GIS to superimpose the monitoring site locations on maps of local hydrography and allow point and click access to the data collected at each environmental monitoring site. This information technology suite of software and hardware work together with a watershed simulation model WARMF-SJR to provide timely, reliable, and high quality data and forecasts of river salinity that can used by stakeholder decision makers to ensure compliance with state water quality objectives.

Data Warehousing

2008 ◽  
pp. 2749-2761
Author(s):  
Hugh J. Watson ◽  
Barbara H. Wixom ◽  
Dale L. Goodhue
Keyword(s):  
Decision Support ◽  
Real Time ◽  
Data Warehouse ◽  
Data Warehousing ◽  
Top Management ◽  
Data Warehouses ◽  
Web Based ◽  
Good Data ◽  
Customer Services ◽  
Enterprise Data Warehouse

Data warehouses are helping resolve a major problem that has plagued decision support applications over the years — a lack of good data. Top management at 3M realized that the company had to move from being product-centric to being customer savvy. In response, 3M built a terabyte data warehouse (global enterprise data warehouse) that provides thousands of 3M employees with real-time access to accurate, global, detailed information. The data warehouse underlies new Web-based customer services that are dynamically generated based on warehouse information. There are useful lessons that were learned at 3M during their years of developing the data warehouse.

Web-Based Expert Geographical Information System for Advanced Transportation Management Systems

2000 ◽  
Vol 1719 (1) ◽  
pp. 200-208 ◽  
Author(s):  
Kaan Özbay ◽  
Shirsendu Mukherjee
Keyword(s):  
Decision Support ◽  
Real Time ◽  
Support System ◽  
Support Systems ◽  
Management Systems ◽  
Incident Management ◽  
Decision Support Tools ◽  
Web Based ◽  
Transportation Management ◽  
Support Tools

The Internet is fast becoming the standard environment for client-server applications that involve multiple users. The proliferation of Internet-based application development tools opens new doors to transportation researchers who work in real-time decision support system development. In the 1990s, one of the most important problems in advanced transportation management systems research was the development of better incident management systems. Although the incident management process has been well studied, the development of real-time decision support systems that can be used by all the involved agencies remains a challenging area of transportation engineering research. Existing incident management systems are developed on various traditional computing platforms, including UNIX and Windows. However, with the advent of the World Wide Web and Internet-based programming tools such as Java, it is possible to develop platform independent decision support tools for the incident management agencies. Web-based support tools offer an invaluable opportunity to develop next-generation online decision support tools for real-time traffic management. The applicability of Web-based tools to the development of online decision support systems for incident management is explored and demonstrated, and a prototype incident management decision support system (DSS) that has most of the capabilities of similar UNIX-based DSS support systems is developed and tested. Briefly described are the implementation and development of a prototype wide-area incident management system using Web-based tools.

Development of a Decision Support System for Flood Warning in Jinan City

2011 ◽  
Vol 219-220 ◽  
pp. 1267-1270 ◽  
Author(s):  
Chuan Qi Li ◽  
Chao Jia ◽  
Bang Shu Xu
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Real Time ◽  
Support System ◽  
Urban Areas ◽  
Flood Simulation ◽  
Urban Flood ◽  
Web Based ◽  
Flood Warning ◽  
Jinan City

A decision support system for flood warning has been developed for Jinan city. It is a web based distributed system that integrates GIS, databases and models. Urban Flood Simulation model is used as a real-time flood forecasting model. Mike Flood model is used to simulate pre-formulated flood scenarios for urban areas. The objective of the system is to simulate and forecast river and urban floods on the basis of real-time meteorological situation and rainfall available, and to serve as a tool for making decision.

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