Journal
FORESTS
Volume 9, Issue 6, Pages -Publisher
MDPI
DOI: 10.3390/f9060339
Keywords
frequency analysis; flood; hydrological model; probability distribution; partial least squares (PLS) regression
Categories
Funding
- Project of Hydraulic Science and Technology of Jiang Xi province, China [KT201615]
- National Natural Science Foundation of China [51509088]
- Henan province university scientific and technological innovation team [18IRTSTHN009]
- Key Scientific Research Projects of Higher Education Institutions [18A170010]
- Henan Key Laboratory of Water Environment Simulation and Treatment [2017016]
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Understanding the response of flood frequency to impact factors could help water resource managers make better decisions. This study applied an integrated approach of a hydrological model and partial least squares (PLS) regression to quantify the influences of rainfall and forest landscape on flood frequency dynamics in the Upper Honganjian watershed (981 km(2)) in China. The flood events of flood seasons in return periods from two to 100 years, wet seasons in return periods from two to 20 years, and dry seasons in return periods from two to five years show similar dynamics. Our study suggests that rainfall and the forest landscape are pivotal factors triggering flood event alterations in lower return periods, that flood event dynamics in higher return periods are attributed to hydrological regulations of water infrastructures, and that the influence of rainfall on flood events is much greater than that of land use in the dry season. This effective and simple approach could be applied to a variety of other watersheds for which a digital spatial database is available, hydrological data are lacking, and the hydroclimate context is variable.
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