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A water year (also called hydrological year, discharge year or flow year) is a term commonly used in hydrology to describe a time period of 12 months for which precipitation totals are measured. Its beginning differs from the calendar year because part of the precipitation that falls in late autumn and winter accumulates as snow and does not drain until the following spring or summer's snowmelt. The goal is to ensure that as much as possible of the surface runoff during the water year is attributable to the precipitation during the same water year.[1]

Due to meteorological and geographical factors, the definition of the water years varies. The United States Geological Survey (USGS) defines it as the period between October 1 of one year and September 30th of the next,[2][3] as late September to early October is the time for many drainage areas in the US to have the lowest stream flow and consistent ground water levels. The water year is designated by the calendar year in which it ends, so the 2024 water year started on October 1, 2023, and will end on September 30, 2024.[1]

One way to identify a water-year is to find the successive 12-month period that most consistently, year after year, gives the highest correlation between precipitation and streamflow and negligible changes in storage (i.e., soil water and snow).[4] Usually, the time when the variation of storage from year to year is the smallest is the time with the minimum storage level and minimum flow. However, the practical considerations also affect the water year definitions. For example, in Canada the water year starts in October, apparently to coincide with the US one, although better measurement conditions exist in winter.[5]

To accommodate the regional and climatic variations, some researchers use a per-gauge local water year that starts in the month with the lowest average streamflow.[6]

Classification

Water year types (or indices[7]) are used to present the historical hydrological data in a simplified form.[8] These indices help to categorize similar water years for the planning of the rule-based[7] water operations. A typical set includes: very dry year, dry year, normal year, wet year, very wet year.[8] The years are characterized through setting numerical thresholds for the water runoff in the water year. The methods of calculation (and the set of types) naturally vary by the region, therefore many indices exists, for example:[7]

Many practically used indices were created ad-hoc. For example, California River Indices[12] are weighted averages of the estimates of spring melt, runoff for the rest of the year, and the result for the previous year, calculated for few river basins separately to classify the water year as a wet, above normal, below normal, dry, and critical ("normal" years in California are extremely rare[13]). These California indices were not created "through a systematic statistical analysis of historic basin conditions and river flows".[14]

All indices by nature reflect the historic values and therefore cannot capture the variations in climate that are known to cause the distribution of water year types to be non-stationary in time.[15]

Uses

Examples of how water year is used:

See also

References

  1. ^ a b Johnstone & Cross 1949, p. 103.
  2. ^ a b United States Geological Survey, "Explanations for the National Water Conditions", http://water.usgs.gov/nwc/explain_data.html, Retrieved 16 October 2011.
  3. ^ "The hydrological year". Water UK. 31 October 2012.
  4. ^ Likens, G. E. (2013). Biogeochemistry of a forested ecosystem. Springer Science & Business Media.
  5. ^ Duncan 1955, pp. 110–111.
  6. ^ Wasko, Conrad; Nathan, Rory; Peel, Murray C. (31 July 2020). "Trends in Global Flood and Streamflow Timing Based on Local Water Year". Water Resources Research. 56 (8). Bibcode:2020WRR....5627233W. doi:10.1029/2020WR027233. eISSN 1944-7973. hdl:11343/264137. ISSN 0043-1397. S2CID 225359722.
  7. ^ a b c Null & Viers 2013, p. 1137.
  8. ^ a b WEAP 2015, p. 78.
  9. ^ W. C. Palmer, “Meteorological Drought,” Research Paper No. 45. US Department of Commerce Weather Bureau, Washington DC, 1965.
  10. ^ Alley 1984, p. 1100.
  11. ^ McKee, T.B., Doesken, N.J. and Kleist, J. (1993) The Relationship of Drought Frequency and Duration to Time Scales. 8th Conference on Applied Climatology, Anaheim, 17–22 January 1993, 179-184.
  12. ^ "California River Indices". CAWR. Retrieved 7 August 2022.
  13. ^ Viers 2011, p. 658.
  14. ^ Anderson, Donald M.; Rodney, Mark W. (8 June 2007). "Characterization of hydrologic conditions to support Platte river species recovery efforts". JAWRA Journal of the American Water Resources Association. 42 (5): 1391–1403. doi:10.1111/j.1752-1688.2006.tb05308.x. ISSN 1093-474X. S2CID 128988784.
  15. ^ Null & Viers 2013, pp. 1137–1138.

Sources

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