PDF Download HTML

]" id="html" rel="external">HTML

[1]WANG Yaqin,FAN Wenbo,XU Zhongyu,et al.Spatiotemporal Variation Characteristics of Erosivity of Wind Erosion Climate in Xinjiang in Recent 50 Years[J].Research of Soil and Water Conservation,2021,28(04):22-28.

Copy

Spatiotemporal Variation Characteristics of Erosivity of Wind Erosion Climate in Xinjiang in Recent 50 Years

Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume: 28 Number of periods: 2021 04 Page number: 22-28 Column: Public date: 2021-08-10

Title:: Spatiotemporal Variation Characteristics of Erosivity of Wind Erosion Climate in Xinjiang in Recent 50 Years

Author(s):: WANG Yaqin^1,2, FAN Wenbo^1,2, XU Zhongyu³, DONG Qianqian^1,2, WEI Jiantao^1,2, LI Changxiao^1,2; (1.College of Water &Architecture Engineering, Shihezi University, Shihezi, Xinjiang 832000, China;2.Key Laboratory of Modern Water-saving Irrigation of Xinjiang Production &Construction Group, Shihezi University,Shihezi, Xinjiang 832000, China;3.College of Science, Shihezi University, Shihezi, Xinjiang 832000, China)

Keywords:: Xinjiang Uygur Autonomous Region; climatic factors of wind erosion; spatiotemporal variation

CLC:: S157.1

DOI:: -

Abstract:: In order to evaluate the potential wind erosion capacity and the evolutionary characteristics of desertification in Xinjiang, we calculated the wind erosion climatic erosion force in Xinjiang from 1969 to 2019 using observations from 41 ground-based meteorological stations in the Xinjiang. The spatial-temporal characteristics of erosivity of wind erosion climate in Xinjiang were discussed by means of climate tendency rate, Mann Kendall(M-K)test and geostatistical analysis. The results show that:(1)in recent 50 years, the erosivity of wind erosion climate in Xinjiang showed a significant fluctuating downward trend(p<0.01), the decreasing rate was 1.14 per year, and the C values in different regions were different; the C values in northern and southern Xinjiang showed a rising trend around 2012;(2)C value had obvious seasonal characteristics, the highest value showed in spring, the higher value in summer, the lowest value in winter, the minimum value appeared in January and reached the maximum value in May;(3)the wind erosion climate factor index in the whole region showed a spatial pattern of decreasing from east to west and increasing from south to north; with the passage of time, the grade of wind erosion in the whole region had decreased, and the scope of extremely heavy erosion area shrinked, only distributed in Alashankou, junction between Zhundong area and Turpan-Hami basin;(4)the climatic factors of wind erosion in Xinjiang began to change in 1993, and entered a significant downward trend in the same year; they began to mutate in southern and northern Xinjiang in 1975 and 1998, respectively, and entered a significant downward trend in 1976 and 2006, respectively, and decreased significantly in eastern Xinjiang after 1979 without mutation. In general, wind erosion widespread throughout the territory and was dominated by slight or mild erosion. The wind speed in the area of very heavy wind erosion was significantly higher than that in other areas, indicating that there was an obvious relationship between the magnitude of wind erosion climate erosion force and wind speed.

References:: [1] Sharratt B S, Tatarko J, Abatzoglou J T, et al. Implications of climate change on wind erosion of agricultural lands in the Columbia plateau[J]. Weather and Climate Extremes, 2015,10:20-31.
[2] Lou J P, Wang X M, Cai D W. Spatial and temporal variation of wind erosion climatic erosivity and its response to ENSO in the Otindag Desert, China[J]. Atmosphere, 2019,10(10):614-628
[3] Yang F B, Lu C H. Assessing changes in wind erosion climatic erosivity in China's dryland region during 1961—2012[J]. Journal of Geographical Sciences, 2016,26(9):1263-1276.
[4] Ge Q S, Wang H J, Dai J H. Shifts in spring phenophases, frost events and frost risk for woody plants in temperate China[J]. Climate Research, 2013,57(3):249-258.
[5] Yue S P, Yang R X, Yan Y C, et al. Spatial and temporal variations of wind erosion climatic erosivity in the farming-pastoral zone of Northern China[J]. Springer Vienna, 2019,135(3):1339-1348.
[6] Chepil W S, Siddoway F H, Armbrust D V. Climatic factor for estimating wind erodibility fields [J]. Journal of Soil and Water Conservation, 1962,17(4):162-165.
[7] 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.
[8] 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.
[9] 吴成永,陈克龙,曹广超,等.近30年来青海省风蚀气候侵蚀力时空差异及驱动力分析[J].地理研究,2018,37(4):717-730.
[10] 祁栋林,韩廷芳,赵全宁,等.青海省冬春季风蚀气候侵蚀力和起沙风日数的区域变化差异特征[J].水土保持研究,2019,26(2):23-30,36.
[11] 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.
[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] 牛清河,屈建军,安志山.甘肃敦煌雅丹地质公园区风蚀气候侵蚀力特征[J].中国沙漠,2017,37(6):1066-1070.
[14] 杨兴华,何清,李红军,等.塔里木盆地风蚀气候侵蚀力的计算与分析[J].中国沙漠,2012,32(4):990-995.
[15] 王勇,沙依然.新疆荒漠化动态变化分析[J].新疆农垦科技,2019,42(8):37-39.
[16] FAO.A Provisional Methodology for Soil Degradation Assessment[M].Rome:FAO,1979.
[17] 魏凤英.现代气候统计诊断与预测技术[M].北京:气象出版社,1999.
[18] 张扬,楚新正,杨少敏,等.近56 a新疆北部地区气候变化特征[J].干旱区研究,2019,36(1):212-219.
[19] 韩柳,王静璞,王光镇,等.中国北方风蚀区风速变化时空特征分析[J].干旱区地理,2018,41(5):963-971.
[20] 李达净,许端阳,丁雪,等.1981—2010年中国北方风蚀气候侵蚀力演变与植被动态响应[J].水土保持研究,2018,25(2):15-20.
[21] 郭鹏程,包安明,陈曦,等.1960—2006年艾比湖流域冷暖季气候状况分析[J].自然资源学报,2012,27(1):132-142.
[22] 李珍,姜逢清.1961—2004年新疆气候突变分析[J].冰川冻土,2007,29(3):351-359.
[23] 魏文寿,高卫东,史玉光,等.新疆地区气候与环境变化对沙尘暴的影响研究[J].干旱区地理,2004,27(2):137-141.
[24] 汉瑞英,赵志平,肖能文,等.2000—2015年新疆南部地区土地利用/覆被变化及其驱动力分析[J].科技通报,2020,36(2):24-31.

Similar References:

Memo

Last Update: 2021-08-20