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Forests 2018, 9(6), 339; https://doi.org/10.3390/f9060339

Spatial and Temporal Patterns in Nonstationary Flood Frequency across a Forest Watershed: Linkage with Rainfall and Land Use Types

1
School of Water Conservancy, North China University of Water Resources and Electric Power, Zhengzhou 450046, China
2
Jiangxi Provincial Key Laboratory of Soil Erosion and Prevention, Nanchang 330029, China
3
Jiangxi Institute of Soil and Water Conservation, Nanchang 330029, China
4
College of Resources and Environment, Huazhong Agricultural University, Wuhan 430070, China
5
Henan Yellow River Hydrological Survey and Design Institute, Zhenghzou 450002, China
6
Collaborative Innovation Center of Water Resources Efficient Utilization and Support Engineering, Zhengzhou 450046, China
*
Author to whom correspondence should be addressed.
Received: 10 April 2018 / Revised: 3 June 2018 / Accepted: 6 June 2018 / Published: 8 June 2018
(This article belongs to the Special Issue Forest Hydrology and Watershed)
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Abstract

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 km2) 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. View Full-Text
Keywords: frequency analysis; flood; hydrological model; probability distribution; partial least squares (PLS) regression frequency analysis; flood; hydrological model; probability distribution; partial least squares (PLS) regression
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Huang, X.-D.; Wang, L.; Han, P.-P.; Wang, W.-C. Spatial and Temporal Patterns in Nonstationary Flood Frequency across a Forest Watershed: Linkage with Rainfall and Land Use Types. Forests 2018, 9, 339.

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