TY - JOUR
T1 - Spatio-Temporal Responses of Precipitation to Urbanization with Google Earth Engine
T2 - A Case Study for Lagos, Nigeria
AU - Molla, Alamin
AU - Di, Liping
AU - Guo, Liying
AU - Zhang, Chen
AU - Chen, Fei
N1 - Publisher Copyright:
© 2022 by the authors.
PY - 2022/6
Y1 - 2022/6
N2 - Lagos, Nigeria, is considered a rapidly growing urban hub. This study focuses on an urban development characterization with remote sensing-based variables for Lagos as well as understanding spatio-temporal precipitation responses to the changing intensity of urban development. Initially, a harmonic analysis showed an increase in yearly precipitation of about 3 mm from 1992 to 2018 for the lower bound of the fitted curve and about 2 mm for the upper bound. The yearly total precipitation revealed no significant trend based on the Mann–Kendall trend test. Subsequent analyses first involved characterizing urbanization based on nighttime light and population density data and then combined them together for the final analysis. Each time, the study area was subdivided into four zones: Zone 0, Zone 1, Zone 2, and Zone 3, which refer to non-urbanized, low-urbanized, mid-urbanized, and highly urbanized regions, respectively. The results from the Google Earth Engine-based analysis uncovered that only Zone 1 has a statistical monotonic increasing precipitation trend (Tau 0.29) with a 0.03 significance level when the combined criteria were applied. There is about a 200 mm precipitation increase in Zone 1. Insignificant patterns for the other three zones (Zone 2, Zone 3, and Zone 4) indicate that these trends are not consistent, they might change over time, and fluctuate heavily.
AB - Lagos, Nigeria, is considered a rapidly growing urban hub. This study focuses on an urban development characterization with remote sensing-based variables for Lagos as well as understanding spatio-temporal precipitation responses to the changing intensity of urban development. Initially, a harmonic analysis showed an increase in yearly precipitation of about 3 mm from 1992 to 2018 for the lower bound of the fitted curve and about 2 mm for the upper bound. The yearly total precipitation revealed no significant trend based on the Mann–Kendall trend test. Subsequent analyses first involved characterizing urbanization based on nighttime light and population density data and then combined them together for the final analysis. Each time, the study area was subdivided into four zones: Zone 0, Zone 1, Zone 2, and Zone 3, which refer to non-urbanized, low-urbanized, mid-urbanized, and highly urbanized regions, respectively. The results from the Google Earth Engine-based analysis uncovered that only Zone 1 has a statistical monotonic increasing precipitation trend (Tau 0.29) with a 0.03 significance level when the combined criteria were applied. There is about a 200 mm precipitation increase in Zone 1. Insignificant patterns for the other three zones (Zone 2, Zone 3, and Zone 4) indicate that these trends are not consistent, they might change over time, and fluctuate heavily.
KW - CHIRPS precipitation
KW - Google Earth Engine
KW - Mann–Kendall trend test
KW - nighttime light
KW - population density
KW - urbanization
UR - https://www.webofscience.com/wos/woscc/full-record/WOS:000819104500001
UR - https://openalex.org/W4282841464
UR - https://www.scopus.com/pages/publications/85148495091
U2 - 10.3390/urbansci6020040
DO - 10.3390/urbansci6020040
M3 - Journal Article
SN - 2413-8851
VL - 6
JO - Urban Science
JF - Urban Science
IS - 2
M1 - 40
ER -