A global water supply reservoir yield model with uncertainty analysis
Bibliographic Data
| ID | 15544855 |
|---|---|
| Authors | Faith W Kuria (Tufts University, corresponding author), Richard M Vogel (0000-0001-9759-0024, Tufts University) |
| Year | 2014 |
| Volume | 9 |
| Issue | 9 |
| Pages | 095006-095006 |
| Publication date | 2014-09-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Environmental Research Letters (JOURNAL) |
| Journal identifiers | ISSN: 1748-9326 • E-ISSN: 1748-9326 |
| Publisher | IOP Publishing (PUBLISHER • GB) |
| DOI | 10.1088/1748-9326/9/9/095006 |
| OpenAlex | W2144483768 |
| Language | EN |
| Citations received | 2 |
| References cited | 21 |
Understanding the reliability and uncertainty associated with water supply yields derived from surface water reservoirs is central for planning purposes. Using a global dataset of monthly river discharge, we introduce a generalized model for estimating the mean and variance of water supply yield, Y , expected from a reservoir for a prespecified reliability, R , and storage capacity, S assuming a flow record of length n . The generalized storage–reliability–yield (SRY) relationships reported here have numerous water resource applications ranging from preliminary water supply investigations, to economic and climate change impact assessments. An example indicates how our generalized SRY relationship can be combined with a hydroclimatic model to determine the impact of climate change on surface reservoir water supply yields. We also document that the variability of estimates of water supply yield are invariant to characteristics of the reservoir system, including its storage capacity and reliability. Standardized metrics of the variability of water supply yields are shown to depend only on the sample size of the inflows and the statistical characteristics of the inflow series
Drainage basin · Econometrics · Hydrology (agriculture · Inflow · Meteorology · Reliability (semiconductor · Streamflow · Water resources · Water storage · Water supply · Yield (engineering · Environmental Science · Hydrology and Drought Analysis · Hydrology and Watershed Management Studies · Mathematics · Water resources management and optimization · Environmental Engineering · Geology
| Citations per year | 0.17 |
|---|---|
| Citation span | 2014 - 2016 (3) |
| Highly cited | No |