Spatial and temporal distribution characteristics of extreme wind and its effect on wind erosion in Northeast China

Under the background of climate change, extreme wind events occur frequently in Northeast China, and the soil erosion caused by these extreme wind events has attracted progressively more attention from scholars. We used the methods of linear analysis, Sen+Mann-Kendal trend analysis, and Kriging interpolation to analyze the spatial and temporal characteristics of extreme wind in Northeast China from 2005 to 2020, and used the RWEQ wind erosion estimation model to calculate the annual soil wind erosion of typical wind erosion sites and wind erosion under extreme wind conditions. The results showed that the extreme wind frequency in Northeast China presented a significant upward trend from 2005 to 2020, with an increase of 2.9 times·a-1. The annual average extreme wind frequency in Northeast China ranged from 1 to 49 times·a-1, and the high frequency areas were distributed in the northwest of Xilin Gol, the west of the Hulunbuir Plateau, and the northeast of Changbai Mountain. The average contribution rate of extreme wind to soil wind erosion in four typical sites (Xilinhot, New Barhu Right Banner, Nenjiang, and Tongyu) was 31%.

Medienart:

E-Artikel

Erscheinungsjahr:

2024

Erschienen:

2024

Enthalten in:

Zur Gesamtaufnahme - volume:35

Enthalten in:

Ying yong sheng tai xue bao = The journal of applied ecology - 35(2024), 1 vom: 22. Jan., Seite 87-94

Sprache:

Chinesisch

Weiterer Titel:

东北地区极端大风时空分布特征及其对风蚀量的影响

Beteiligte Personen:

Li, Fang-Hao [VerfasserIn]
Fan, Hao-Ming [VerfasserIn]
Shi, Hao [VerfasserIn]
Xu, Xiu-Quan [VerfasserIn]

Links:

Volltext

Themen:

Contribution rate
English Abstract
Extreme wind
Journal Article
Northeast China
Soil
Spatial and temporal distribution

Anmerkungen:

Date Completed 22.03.2024

Date Revised 22.03.2024

published: Print

Citation Status MEDLINE

doi:

10.13287/j.1001-9332.202401.024

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM370010213