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[1]XU Kui,LI Tanbao,LI Zhanbin,et al.Temporal and Spatial Evolution and Influencing Factors of Wind Erosion Climatic Erosivity in Ningxia[J].Research of Soil and Water Conservation,2023,30(04):217-227,235.[doi:10.13869/j.cnki.rswc.2023.04.030.]

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Temporal and Spatial Evolution and Influencing Factors of Wind Erosion Climatic Erosivity in Ningxia

Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume: 30 Number of periods: 2023 04 Page number: 217-227,235 Column: Public date: 2023-06-10

Title:: Temporal and Spatial Evolution and Influencing Factors of Wind Erosion Climatic Erosivity in Ningxia

Author(s):: XU Kui^1,2, LI Tanbao^2,3, LI Zhanbin^1,2, YU Kunxia^1,2, LI Peng^1,2, JIANG Ying^2,3, LI Caiwen^2,3, YANG Zhi⁴; (1.State Key Laboratory of Eco-hydraulics in Northwest Arid Region of China, Xi'an University of Technology, Xi'an 710048, China; 2.Key Laboratory of National Forestry Administration on Ecological Hydrology and Disaster Prevention in Arid Regions, Xi'an 710048, China; 3.Northwest Survey and Planning Institute of National Forestry and Grassland Administration, Xi'an 710048, China; 4.Ningxia Soil and Water Conservation Monitoring Station, Yinchuan, Ningxia 750002, China)

Keywords:: wind erosion climatic erosivity; temporal and spatial evolution; random forest; Ningxia

CLC:: S157.1

DOI:: 10.13869/j.cnki.rswc.2023.04.030.

Abstract:: [Objective] This paper reveals the temporal and spatial evolution characteristics of wind erosion climate erosivity(C factor)in Ningxia Hui Autonomous Region, expounds the influence and factors of Ningxia climate on wind erosion, and further provides scientific basis for wind erosion evaluation in Ningxia. [Methods] Based on the observation data of Ningxia and its surrounding weather stations from 1965 to 2019, according to FAO wind erosion climate erosivity calculation formula, this paper evaluates the temporal and spatial evolution of wind erosion climate erosivity and its influencing factors in Ningxia by using Mann-Kendall trend test, Pettitt catastrophe test, Morlet wavelet analysis and random forest. [Results](1)The average C factor of Ningxia was 23.8, on the annual scale and seasonal scale, it showed a sustainable and significant decreasing trend, which was higher in spring and winter and lower in summer and autumn.(2)The average C factor for many years showed a high distribution in the north-central part and a low distribution in the south. A total of 8 stations were significantly reduced, and all of them are sustainable.(3)Except for the summer scale, the C factor of other seasonal scales and annual scales all changed significantly around 2003, and there was a main period of about 30 years.(4)The most important factor affecting C factor was wind speed, followed by precipitation, relative humidity, thermal factors and Pacific Decadal Oscillation. [Conclusion] Ningxia belongs to the arid and semi-arid areas with weak climate erosion,and wind speed is the most important factor affecting Ningxia's C factor.

References:: [1] 陈渭南.蒙陕接壤地区土壤母质的风蚀实验研究[J].水土保持学报,1991,5(1):33-40.
[2] 陈渭南,董光荣,董治宝.中国北方土壤风蚀问题研究的进展与趋势[J].地球科学进展,1994,9(5):6-12.
[3] Yue S, Yang R, Yan Y, et al. Spatial and temporal variations of wind erosion climatic erosivity in the farming-pastoral zone of Northern China[J]. Theoretical and Applied Climatology, 2019,135(3):1339-1348.
[4] 张晓虹,何有华,胡彦婷.干旱风沙区水库边缘植被-风力侵蚀的变化及成因[J].水土保持通报,2020,40(6):1-7,22.
[5] Chepil W S, Siddoway F H, Armbrust D V. Climatic factor for estimating wind erodibility of farm fields[J]. Journal of Soil and Water Conservation, 1962,17(4):162-165.
[6] 刘慧,李晓英,肖建华,等.1961—2015年雅鲁藏布江流域风蚀气候侵蚀力变化[J].地理科学,2019,39(4):688-695.
[7] Food and Agriculture Organization of the United Nations: A Provisional Methodology for Soil Degradation Assessment[M]. Rome: FAO,1980.
[8] Skidmore E L. Wind erosion climatic erosivity[J]. Climatic Change,1986,9(1/2):195-208.
[9] 董玉祥,康国定.中国干旱半干旱地区风蚀气候侵蚀力的计算与分析[J].水土保持学报,1994,8(3):1-7.
[10] 方祖光,谢皎如.福建沿海地区干燥度和风蚀气候侵蚀力的计算与分析[J].福建师范大学学报:自然科学版,1997,13(3):96-103.
[11] 王永,赵举,程玉臣.阴山北麓农牧交错带风蚀气候侵蚀力的计算与分析[J].华北农学报,2005,20(S1):57-60.
[12] 邹春霞,申向东,李夏子,等.内蒙古阴山北麓农牧交错带风蚀气候侵蚀力特征[J].吉林大学学报:地球科学版,2011,41(4):1172-1178.
[13] 马茜茜,肖建华,姚正毅,等.1960—2017年阿拉善高原风蚀气候侵蚀力时空演变[J].地理科学,2021,41(6):1096-1104.
[14] 璩向宁.宁夏沙区生态环境建设的基本理论问题[J].水土保持研究,2002,9(3):155-157.
[15] 崔文斌.宁夏某铜尾矿风蚀特征及潜力评价[D].银川:宁夏大学,2021.
[16] Allen R G, Pereira L S, Raes D, et al. Crop Evapotranspiration: Guidelines for Computing Crop Water Requirements-FAO Irrigation and Drainage Paper 56[M].Rome: FAO,1998.
[17] 贾路,于坤霞,邓铭江,等.西北地区降雨集中度时空演变及其影响因素[J].农业工程学报,2021,37(16):80-89.
[18] 魏凤英.现代气候统计诊断与预测技术[M].2版.北京:气象出版社,2007.
[19] 邵骏.基于交叉小波变换的水文多尺度相关分析[J].水力发电学报,2013,32(2):22-26,42.
[20] Breiman L. Random forests[J]. Machine Learning, 2001,45(1):5-32.
[21] 雷杨娜,雷田旺,程路.陕西省风蚀气候侵蚀力时空演变特征[J].陕西气象,2022(1):28-34.
[22] 刘旭东,左合君,闫敏.锡林郭勒地区风蚀气候侵蚀力时空变化规律研究[J].内蒙古师范大学学报:自然科学汉文版,2019,48(2):142-147,153.
[23] 梁会,田美荣,钱金平,等.基于风蚀模型的宁夏土壤风蚀特征及影响因素[J].水土保持研究,2019,26(1):34-40.
[24] 杨修群,王国民,张向东,等.大气环流与灾害性天气气候研究:黄士松先生学术成就和贡献回顾[J].气象科学,2020,40(5):569-584.
[25] Meijers A J S, Ceroveˇ/cki I, King B A, et al. A see-saw in Pacific subantarctic mode water formation driven by atmospheric modes[J]. Geophysical Research Letters, 2019,46(22):13152-13160.
[26] 董海霞.变化环境下降水-气温相依结构的非一致性诊断及驱动力探究[D].西安:西安理工大学,2021.
[27] 祁栋林,李晓东,苏文将,等.近50年青海省风蚀气候侵蚀力时空演变趋势[J].水土保持研究,2015,22(6):234-239.
[28] 任景全,郭春明,李建平,等.气候变化背景下吉林省风蚀气候侵蚀力时空特征[J].水土保持研究,2017,24(6):233-237.

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Last Update: 2023-06-10