Lake Volume Data Analyses: A Deep Look into the Shrinking and Expansion Patterns of Lakes Azuei and Enriquillo, Hispaniola
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 t...
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ftcityunivny:oai:academicworks.cuny.edu:cc_pubs-1846 2023-05-15T17:35:51+02:00 Lake Volume Data Analyses: A Deep Look into the Shrinking and Expansion Patterns of Lakes Azuei and Enriquillo, Hispaniola Moknatian, Mahrokh Piasecki, Michael 2020-01-01T08:00:00Z application/pdf https://academicworks.cuny.edu/cc_pubs/773 https://academicworks.cuny.edu/cgi/viewcontent.cgi?article=1846&context=cc_pubs English eng CUNY Academic Works https://academicworks.cuny.edu/cc_pubs/773 https://academicworks.cuny.edu/cgi/viewcontent.cgi?article=1846&context=cc_pubs Publications and Research Lake Dynamics Hispaniola Time Series Analysis Imputation Trend Test Mann-Kendall Test Linear Regression Change Points Wavelet Transform Civil Engineering Hydraulic Engineering Hydrology Water Resource Management article 2020 ftcityunivny 2021-04-10T19:06:43Z 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. Article in Journal/Newspaper North Atlantic City University of New York: CUNY Academic Works Kendall ENVELOPE(-59.828,-59.828,-63.497,-63.497) |
institution |
Open Polar |
collection |
City University of New York: CUNY Academic Works |
op_collection_id |
ftcityunivny |
language |
English |
topic |
Lake Dynamics Hispaniola Time Series Analysis Imputation Trend Test Mann-Kendall Test Linear Regression Change Points Wavelet Transform Civil Engineering Hydraulic Engineering Hydrology Water Resource Management |
spellingShingle |
Lake Dynamics Hispaniola Time Series Analysis Imputation Trend Test Mann-Kendall Test Linear Regression Change Points Wavelet Transform Civil Engineering Hydraulic Engineering Hydrology Water Resource Management Moknatian, Mahrokh Piasecki, Michael Lake Volume Data Analyses: A Deep Look into the Shrinking and Expansion Patterns of Lakes Azuei and Enriquillo, Hispaniola |
topic_facet |
Lake Dynamics Hispaniola Time Series Analysis Imputation Trend Test Mann-Kendall Test Linear Regression Change Points Wavelet Transform Civil Engineering Hydraulic Engineering Hydrology Water Resource Management |
description |
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. |
format |
Article in Journal/Newspaper |
author |
Moknatian, Mahrokh Piasecki, Michael |
author_facet |
Moknatian, Mahrokh Piasecki, Michael |
author_sort |
Moknatian, Mahrokh |
title |
Lake Volume Data Analyses: A Deep Look into the Shrinking and Expansion Patterns of Lakes Azuei and Enriquillo, Hispaniola |
title_short |
Lake Volume Data Analyses: A Deep Look into the Shrinking and Expansion Patterns of Lakes Azuei and Enriquillo, Hispaniola |
title_full |
Lake Volume Data Analyses: A Deep Look into the Shrinking and Expansion Patterns of Lakes Azuei and Enriquillo, Hispaniola |
title_fullStr |
Lake Volume Data Analyses: A Deep Look into the Shrinking and Expansion Patterns of Lakes Azuei and Enriquillo, Hispaniola |
title_full_unstemmed |
Lake Volume Data Analyses: A Deep Look into the Shrinking and Expansion Patterns of Lakes Azuei and Enriquillo, Hispaniola |
title_sort |
lake volume data analyses: a deep look into the shrinking and expansion patterns of lakes azuei and enriquillo, hispaniola |
publisher |
CUNY Academic Works |
publishDate |
2020 |
url |
https://academicworks.cuny.edu/cc_pubs/773 https://academicworks.cuny.edu/cgi/viewcontent.cgi?article=1846&context=cc_pubs |
long_lat |
ENVELOPE(-59.828,-59.828,-63.497,-63.497) |
geographic |
Kendall |
geographic_facet |
Kendall |
genre |
North Atlantic |
genre_facet |
North Atlantic |
op_source |
Publications and Research |
op_relation |
https://academicworks.cuny.edu/cc_pubs/773 https://academicworks.cuny.edu/cgi/viewcontent.cgi?article=1846&context=cc_pubs |
_version_ |
1766135135754780672 |