Laserfiche WebLink
<br />. <br /> <br />. <br /> <br />. <br /> <br />" <br /> <br />o <br /> <br />· Risk assessment. The performance of every water resources system is subject to <br />risk and uncertainty. Therefore, it is advisable to carry out a risk assessment in <br />association with the design, planning or operation of any water resources system. <br />Such an assessment will help in predicting and evaluating the system failure and <br />consequently, provide for better decision making. <br /> <br />· Benefit evaluation. The use of a water resource derives a number of benefits. In <br />the Colorado River, there are multiple, often conflicting, uses. Examples of these <br />beneficial uses are water supply for irrigation, hydropower generation, flood <br />control, recreation, water quality, erosion protection, etc. <br /> <br />This categorizes models according to their spatial granularity and spatial application <br />domain. Three different domains in the CRDSS feasibility study will be considered: <br /> <br />· Spatial macro scales. Macro scale models represent processes applying to areas <br />covering several states. <br /> <br />..- <br /> <br />· Spatial meso scales. On this scale one may look at models covering processes <br />applying within states. <br /> <br />· Spatial micro scales. This type of scale typically pertains to local processes, for <br />instance processes in sub-basins of not more that a few square miles. <br /> <br />This categorizes models according to the time scale used. Two major categories <br />belong to this class: <br /> <br />· Long term models. Long term models with timesteps not shorter than a month <br />and time horizons ranging from several months to several years are predominantly <br />used for planning studies. <br /> <br />· Short term models. Short term models are characterized by much shorter <br />timesteps and shorter time horizons, and are predominantly used for operational <br />operations. <br /> <br />Model Availability Survey <br /> <br />The integration of various models and types of models in a data-centered CRDSS can <br />be schematically depicted. The database contains observations and model results. This eases <br />the communication among models, as well as facilitating the analysis of both observational <br />data and model results. <br /> <br />A variety of characteristics will be considered in the model survey, These include: <br /> <br />. model classification; <br /> <br />-5- <br />