Title: Statistical datum corrections to measured water levels for achieving inter-gage consistency in a large seasonally ponded wetland
Authors: Kyle R. Douglas-Mankin
Addresses: Arthur R. Marshall Loxahatchee National Wildlife Refuge, US Fish and Wildlife Service, Boynton Beach, FL, USA
Abstract: Accurate, consistent water surface elevations (stages) among gages within a large waterbody are essential for accurate hydrological analyses. This study developed and tested a process of statistical stage bias-correction and quantified corrections needed to maintain consistency among gages. Ponded conditions with consistent water-surface elevations were identified within an Everglades wetland area using four screening criteria: three-day antecedent rainfall ≤ 0.25 mm/day, seven-day antecedent rainfall ≤ 5.1 mm/week, mean stage change from prior day ≤ 0.15 m, and difference between median marsh and canal stages ≤ 0.015 m. Historical stage values were adjusted based on long-term mean inter-gage bias. Adjustments up to 0.0472 m were needed to offset mean inter-gage bias among 12 canal and five marsh gages. Bias-corrected stages improved consistency over an independent one-year period. These methods apply to deriving statistical bias-correction values in other seasonally ponded water bodies and identifying gages requiring datum maintenance.
Keywords: bias; everglades; hydrology; statistical methods; water stage; wetlands.
International Journal of Hydrology Science and Technology, 2018 Vol.8 No.1, pp.31 - 51
Available online: 11 Dec 2017 *Full-text access for editors Access for subscribers Free access Comment on this article