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Overview
The following provides information on the important goals of resource management. These goals are expressed in terms of future conditions of the system which may be influenced by the alternative management strategies considered. By explicitly defining the management goals, and by allowing users to select goals that reflect their priorities, the DSS provides a mechanism for aligning the perception of the public and decision makers regarding the proper use of water resources. The specific goals listed below are examples that illustrate the range of goals evaluated by the underlying DSS, including goals related to water quality and availability, economic development and quality of life, as well as goals related to the larger ecosystem such as wildlife populations. By allowing for users to define goals in terms of varied system attributes (economic, ecologic, demographic), the DSS allows for holistic evaluation of management strategies, and provides a framework for accommodating conflicting demands on the resource. This capability also provides a mechanism for recognizing natural ecosystems as water users. Goals can be formulated for ecosystems directly in terms of species population (as in the example), as well as in terms of human uses for recreation and tourism.
Providing a common information base is only one function of the DSS. The DSS also provides a functional integration of available data, allowing decision makers to evaluate alternative management strategies. This capability allows decisions to be evaluated using current information on system dynamics, and implements the critical dependencies between water resource users and the natural system. This functional integration, for example, is required to provide the connection between the integrity and stability of the natural ecosystem and human resource uses such as recreation, drinking water, irrigation, and industrial consumption.
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Objectives
| Metric |
Period |
Criterion |
Probability |
| Water-table elevation |
20 years |
well screen elevation |
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| Concentrations of Cl in ground water |
20 years |
< regulatory MCL |
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| Average domestic water cost |
5 years |
< $15 |
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| Salmon population in coastal regions |
20 years |
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0.05 |
| define new goal |
Metric: An attribute of the system whose future state is used to judge the success of management strategies.
Period: The time frame of interest for tracking the value of the metric.
By providing one of the following quantities, users can specify one of two types of calculation for the DSS to perform:
User-defined Citerion: A condition that the metric should meet over the specified timeframe.
Calculated Probability: The probability that the metric will meet the criterion.
OR:
User-defined Probability: The desired confidence level for the value of the metric.
Calculated criterion: The metric value corresponding to the specified confidence level.
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Overview
This is an example of the types of management strategies that can be evaluated through the DSS. The options are hypothetical examples illustrating the variety of alternative management actions that can be evaluated, including mitigating water loss during distribution, regrouping the locally available water supply, improving enforcement of regulations, fostering conservation through education or economic incentives, and collecting additional data on water availability, use, and quality. The example strategies chosen illustrate the range and scope of management options that must be accommodated by the DSS in support of the goal of holistic management.
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| Available Strategies |
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Selected Strategies |
| Impose high-use surcharge |
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| Repair/replace distribution infrastructure |
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| Reconfigure distribution system |
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| Enhanced Compliance Monitoring Program |
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| Install new well field and inter-basin pipeline |
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Install new well field and inter-basin pipeline |
| Conduct long-term aquifer characterization |
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| additional information |
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Overview
This is a simple example of the way this functional integration provides information critical for decision making. The example shows the way the DSS can help decision makers evaluate the consequences of management strategies using a holistic watershed approach. The effects of transferring water from one watershed to another can be evaluated using various assumptions about the future water demands in the watersheds supplying and receiving water. Because these future demands are uncertain, the DSS allows decision makers to assign probabilities to these possible future demands. By treating uncertainty explicitly, the DSS allows decision makers to evaluate the risks associated with alternative strategies.
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The following table summarizes the alternative models available forestimating the response to: New well field and inter-basin pipeline.
The user may access these models to review and define values for keymodel input parameters, and to calculate corresponding values of WaterTable Elevation.
| Assumption |
Assigned Probability |
Model |
| Low population growth assumption |
0.10 |
MODFLOW |
| Medium population growth assumption |
0.70 |
MODFLOW |
| High population growth assumption |
0.20 |
MODFLOW |
Assumption: Description of alternative assumptions that can be used in calculating the metric of interest (water table elevation in this example).
Assigned Probability: Probability that the assumption is appropriate, assigned by the user.
Model: Description of the modeling code used to calculate the metricvalue.
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Overview
This page presents an evaluation of the alternative management strategies in terms of the defined management goals. The DSS performs this evaluation by using the system models to project the consequences of the alternative management strategies. This information illustrates the trade-offs between potentially competing objectives for a variety of alternative management strategies. This information provides an objective basis for developing management strategies so that resource management decisions can be clearly aligned with the publics perception of the proper use of the resource. By providing an evaluation of alternative strategies with respect to multiple management goals, the DSS provides a framework for reaching and communicating management decisions based on an integrated consideration of various resource uses. This evaluation also allows decision makers to explore and communicate strategies that satisfy multiple diverse goals, rather being perceived as sacrificing one goal for another.
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Calculated objective function values for specified management options
| Strategy |
Water table elevation well screen depth (Probability of meeting
criterion) |
Cl concentration regulatory MCL (Probability of meeting
criterion) |
Average domestic water cost $15 (Probability of meeting
criterion) |
Salmon population density (Population density at a probability level
of 0.05) |
| Baseline |
0.97 |
0.99 |
0.75 |
200 |
| New well field |
0.82 |
0.95 |
0.85 |
200 |
Strategy: Description of the alternative management strategies evaluated. The Baseline strategy assumes no additional management actions.
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Overview
Below is a summary of the various types of data related to water resource use and availability. This information allows users with particular needs to access current and archival data in a variety of areas connected with water resource management. Water resource availability and use is affected by a wide range of factors: the variety of information types accessible through this page reflects the integration of these factors within the DSS, supporting a holistic approach to water resource management.
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- Water Supply Data: Information on the water supply infrastructure throughout Puerto Rico.
- Hydrologic Data: Information about the availability and quality of water in Puerto Ricos aquifers and rivers.
- Ecological Data: Information on Puerto Ricos ecosystems.
- Demographics: Information on population and water use.
- Regulatory Information: Laws and policies on the allocation and protection of water resources.
- Economic Data: Information about Puerto Ricos economy
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