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[Spatial-temporal dynamics of rainstorm in East China based on spatial-temporal data mining technology].
1College of Geomatics, Xi'an University of Science and Technology, Xi'an 715004, China.
Ying Yong Sheng Tai Xue Bao = the Journal of Applied Ecology
|April 27, 2018
Summary
This study analyzed East China
Area of Science:
- Climatology and Meteorology
- Environmental Science
- Geographic Information Systems (GIS)
Background:
- Understanding regional precipitation patterns is crucial for water resource management and climate change adaptation.
- East China experiences significant rainfall variability, making detailed analysis of rainstorm events essential.
Purpose of the Study:
- To investigate the spatial and temporal dynamics of rainstorm precipitation in East China from 2003 to 2015.
- To evaluate trends in annual precipitation and rainstorm characteristics using advanced analytical techniques.
Main Methods:
- Construction of five annual time series using Tropical Rainfall Measuring Mission (TRMM) 3B42 precipitation data.
- Application of data mining and Geographic Information Systems (GIS) spatial analysis for evaluating dynamics.
- Analysis of spatial distributions, latitudinal/longitudinal imbalances, and temporal trends of precipitation variables.
Main Results:
- Spatial distribution of annual precipitation and annual rainstorm precipitation showed similarity.
- Annual precipitation exhibited a slight increasing trend, while the annual rainstorm ratio fluctuated significantly.
- Rainstorm distribution was more imbalanced latitudinally than longitudinally, with a northward shift observed over 13 years.
Conclusions:
- Rainstorm characteristics in East China display significant spatial heterogeneity and temporal variability.
- A discernible northward trend in rainstorm events was identified over the study period.
- Most analyzed areas showed non-significant increasing or decreasing trends in precipitation variables, highlighting localized changes.
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