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Quantitative Assessment of Drought Impacts Using XGBoost based on the Drought Impact Reporter. (arXiv:2211.02768v1 [cs.LG])
Nov. 8, 2022, 2:11 a.m. | Beichen Zhang (1), Fatima K. Abu Salem (2), Michael J. Hayes (1), Tsegaye Tadesse (1) ((1) School Of Natural Resources, University of Nebraska-Lincoln
cs.LG updates on arXiv.org arxiv.org
Under climate change, the increasing frequency, intensity, and spatial extent
of drought events lead to higher socio-economic costs. However, the
relationships between the hydro-meteorological indicators and drought impacts
are not identified well yet because of the complexity and data scarcity. In
this paper, we proposed a framework based on the extreme gradient model
(XGBoost) for Texas to predict multi-category drought impacts and connected a
typical drought indicator, Standardized Precipitation Index (SPI), to the
text-based impacts from the Drought Impact Reporter …
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