Abstract
This paper presents the development of an evenly spaced volume time series for Lakes Azuei and Enriquillo both located on the Caribbean island of Hispaniola. The time series is derived from an unevenly spaced Landsat imagery data set which is then exposed to several imputation methods to construct the gap filled uniformly-spaced time series so it can be subjected to statistical analyses methods. The volume time series features both gradual and sudden changes the latter of which is attributed to North Atlantic cyclone activity. Relevant cyclone activity is defined as an event passing within 80 km and having regional monthly rainfall averages higher than a threshold value of 87 mm causing discontinuities in the lake responses. Discontinuities are accounted for in the imputation algorithm by dividing the time series into two sub-sections: Before/after the event. Using leave-p-out cross-validation and computing the NRMSE index the Stineman interpolation proves to be the best algorithm among 15 different imputation alternatives that were tested. The final time series features 16-day intervals which is subsequently resampled into one with monthly time steps. Data analyses of the monthly volume change time series show Lake Enriquillo’s seasonal periodicity in its behavior and also its sensitivity due to the occurrence of storm events. Response times feature a growth pattern lasting for one to two years after an extreme event, followed by a shrinking pattern lasting 5–7 years returning the lake to its original state. While both lakes show a remarkable long term increase in size starting in 2005, Lake Azuei is different in that it is much less sensitive to storm events and instead shows a stronger response to just changing seasonal rainfall patterns.
Highlights
IntroductionLakes Azuei (LA) and Enriquillo (LE) located adjacent to each other in Haiti, and the Dominican
Lakes Azuei (LA) and Enriquillo (LE) located adjacent to each other in Haiti, and the DominicanRepublic (DR), respectively, experienced an unprecedented expansion starting in 2005 and lasting until2014 (Figure 1)
The analyses considered for this study include the detection of sudden shift variations (Change Point Detection), cyclical or periodic variations (Wavelet Transforms), and steady increase/decrease (Trend Analysis), which are all meaningful aspects of the non-stationary characteristics of a data series as they help to identify internal or external stimuli [6]
Summary
Lakes Azuei (LA) and Enriquillo (LE) located adjacent to each other in Haiti, and the Dominican. This 9-year growth in lake expanse has had dramatic impacts on the surrounding areas [1]. Due to the very shallow sections at the West and East sides of both lakes, large swaths of arable land were inundated rendering them useless due to the high salt content, especially around. The key border crossing in Jimani, along the main trade highway between the two countries, was threatened to be completely inundated; only extensive work to raise the road along the eastern stretch of LA kept the highway open for trade activity [2].
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have