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[1]LIU Yan,LIU Youcun,BIAN Xiaohui,et al.Variation Characteristics and Sensitivity Analysis of Wetness Index in Jiangnan Hilly Areas[J].Research of Soil and Water Conservation,2019,26(02):263-271,282.

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Variation Characteristics and Sensitivity Analysis of Wetness Index in Jiangnan Hilly Areas

Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume: 26 Number of periods: 2019 02 Page number: 263-271,282 Column: Public date: 2019-04-28

Title:: Variation Characteristics and Sensitivity Analysis of Wetness Index in Jiangnan Hilly Areas

Author(s):: LIU Yan¹, LIU Youcun¹, BIAN Xiaohui^1,2, JIAO Keqin³, CHEN Ming¹, HOU Langong⁴, DING Qianqian^1,2; 1. School of Resources and Environmental Engineering, Jiangxi University of Science and Technology, Ganzhou, Jiangxi 341000, China;
2. School of Architectural and Surveying & Mapping Engineering, Jiangxi University of Science and Technology, Ganzhou, Jiangxi 341000, China;
3. Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China

Keywords:: climate change; wetness index; Jiangnan hilly area; Penman-Monteith model; sensitivity analysis

CLC:: S161.4

DOI:: -

Abstract:: Based on the data of monthly precipitation, monthly mean temperature, wind speed, sunshine percentage and relative humidity of 69 meteorological stations in Jiangnan hilly area and its surrounding areas from 1951 to 2013, Penman-Monteith model was used to calculate the reference evapotranspiration and the surface wetness index, and the temporal and spatial variation characteristics and sensitivity analysis of surface wet and dry conditions in the study area were discussed by combining with the tendency index of surface wettability index, M-K test and ArcGIS inverse distance weighted interpolation. The results showed that in the recent 63 years, the surface wetness index in the Jiangnan hilly presented the fluctuating decrease trend, and the 10 years tendency of variation tended to be -0.05, which tended to be dry. The accumulated anomalies could be divided into fluctuating periods, the index period and below the multi-year mean surface wetness index period; the surface wetness index around 1955 had the wet-dry mutation point. The interdecadal and seasonal variations of the surface wetness index were the highest in the 1950s and the lowest in the early 21st century, but the highest was in spring and the lowest was in autumn regardless of seasons or decadal periods. Spatial variability of surface wetness index was low in the south and west, high in the north and east. The spatial variability of the wetland index tended to be higher in the southeast than that in other parts of the region. The seasonally wetted tendencies of the surface wetness indices in all seasons were negative except for summer. The correlativity between surface wetness index and precipitation and relative humidity was better, but there were differences in the seasonal correlation between each meteorological factor and surface wetness index in space. In addition, there was a good correlation between the surface wetness index and the elevation in the Jiangnan hilly area. The higher the elevation is, the higher the wettability index of the surface is.

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