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[1]XIA Zhiming,LIAO Kaitao,GUO Liping,et al.Spatiotemporal Distribution Pattern of Precipitation in Ganjiang River Basin Based on EOF and MK Trend Analysis[J].Research of Soil and Water Conservation,2023,30(05):223-233,249.[doi:10.13869/j.cnki.rswc.2023.05.034.]

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Spatiotemporal Distribution Pattern of Precipitation in Ganjiang River Basin Based on EOF and MK Trend Analysis

Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume: 30 Number of periods: 2023 05 Page number: 223-233,249 Column: Public date: 2023-08-10

Title:: Spatiotemporal Distribution Pattern of Precipitation in Ganjiang River Basin Based on EOF and MK Trend Analysis

Author(s):: XIA Zhiming^1,2, LIAO Kaitao^3,4, GUO Liping^1,2, CHEN Xiulong⁵, LIU Cuiping^1,2, JIAO Yuzhang^1,2, CAO Jianzu⁵; (1.Jiangxi Provincial Key Laboratory of Silviculture,College of Forestry,Jiangxi Agricultural University,Nanchang 330045,China; 2.Key Laboratory of National Forestry and Grassland Administration on Forest Ecosystem Protection and Restoration of Poyang Lake Watershed,Jiangxi Agricultural University,Nanchang 330045,China; 3.Jiangxi Academy of Water Science and Engineering,Nanchang 330029,China; 4.College of Geography and Environment,Jiangxi Normal University,Nanchang 330022,China; 5.Key......)

Keywords:: different grades rainfall; spatiotemporal distribution; EOF analysis; MK non-parametric test; Ganjiang River Basin

CLC:: P426.614

DOI:: 10.13869/j.cnki.rswc.2023.05.034.

Abstract:: [Objective] The aim of this article is to study the spatiotemporal distribution characteristic of precipitation in the Ganjiang River basin, clarify the inter-annual, intra annual and spatial variation laws of different levels of rainfall in the upper, middle and lower reaches of the basin, and then reveal the high incidence period and concentrated distribution area of both heavy rainfall and rainstorm that are prone to flood disasters. [Methods] The precipitation of the whole basin and the upper, middle and lower reaches and different grades of precipitation were classified and statistically studied by EOF analysis and Mann-Kendall(MK)non-parametric tests. [Results](1)The analysis of the spatial distribution characteristics of precipitation in the Ganjiang River Basin found that the center of the high value of rainfall was located in the Ningdu and Shicheng areas in the southeast of the river basin, and gradually decreased in the north and south directions from this starting point. The high-value centers of heavy rain and rainstorm were also mainly located in the eastern part and its further south region, and decreased to the south and north from this point,while the high value centers of moderate rain and light rain were opposite, which were mainly located in the western part of the river basin and its further southern regions.(2)The change of the interannual trend of precipitation in the whole basin showed that the total precipitation showed no significant increase trend, and only 3 stations and downstream areas had a significant increase trend. Among the different grades rainfall, light rainfall showed a significant downward trend, moderate rain as a whole showed a non-significant downward trend(except the downstream area), heavy rainfall and rainstorm showed a significant increase trend in the whole basin and its subarea.(3)The annual changes of different grades of rainfall showed that the annual rainfall mainly occurred in the flood season, with moderate and heavy rainfall as the main precipitation types. The rainfall in June was the most, especially the rainstorm in June was significantly greater than that in other months, and the rainfall in December was the least. [Conclusion] The precipitation in the Ganjiang River Basin showed a polarization phenomenon of light and moderate rainfall decreased, heavy rainfall and rainstorm increased significantly, and there is an obvious uneven spatial and temporal distribution. The southeastern part of the basin, starting from Shicheng and Ruijin, is more likely to experience regional rainstorm and floods disasters during the main flood season, especially in June.

References:: [1] 黄国如,陈易偲,姚芝军.高度城镇化背景下珠三角地区极端降雨时空演变特征[J].水科学进展,2021,32(2):161-170.
[2] Asamoah Y, Ansah-Mensah K. Temporal description of annual temperature and rainfall in the Bawku Area of Ghana[J]. Advances in Meteorology, 2020,2020:1-18, Doi: org/10,1155/2020/3402178.
[3] Anurag Malik, Anil Kumar. Spatio-temporal trend analysis of rainfall using parametric and non-parametric tests: case study in Uttarakhand, India[J]. Theoretical and Applied Climatology, 2020,140(1):183-207.
[4] 姜彤,李修仓,巢清尘,等.《气候变化2014:影响、适应和脆弱性》的主要结论和新认知[J].气候变化研究进展,2014,10(3):157-166.
[5] 陈晓艺,姚筠,霍彦峰,等.安徽省主要气象灾害趋势演变及其对粮食总产的影响[J].长江流域资源与环境,2020,29(10):2285-2295.
[6] 王秋京,马国忠,朱海霞,等.黑龙江省主要农业气象灾害演变特征及对水稻产量的影响[J].灾害学,2020,35(1):76-83.
[7] Ju H, Zhang D,Zhang X Y,et al. Effects of Climate Extremes on Cereal Production in the North China Plain During 1950-2015[J]. International Journal of Sustainable Development Research, 2022,8(2):66-75.
[8] 刘明霞.赣江上游流域植被覆盖度变化及其驱动因素研究[D].江西赣州:江西理工大学,2021.
[9] 赵君,王鹏,余小芳.温度和降水对赣江流域土地利用方式与河流氮磷营养盐相关性的影响[J].江西师范大学学报:自然科学版,2018,42(6):655-660.
[10] 肖农,闫峰,胡振鹏,等.气候变化对鄱阳湖赣江流域水文情势影响的实证研究[J].水利水电技术(中英文),2021,52(11):39-49.
[11] 王容,李相虎,薛晨阳,等.1960—2012年鄱阳湖流域旱涝急转事件时空演变特征[J].湖泊科学,2020,32(1):207-222.
[12] 雷享勇,高路,马苗苗,等.鄱阳湖流域极端降水时空分布和非平稳性特征[J].应用生态学报,2021,32(9):3277-3287.
[13] 王怀清,赵冠男,彭静,等.近50年鄱阳湖五大流域降水变化特征研究[J].长江流域资源与环境,2009,18(7):615-619.
[14] 沈浒英,孙嘉翔,王乐.长江流域分区面雨量特征分析[J].人民长江,2021,52(9):79-85.
[15] 曹博,张勃,马彬,等.基于SPEI指数的长江中下游流域干旱时空特征分析[J].生态学报,2018,38(17):6258-6267.
[16] 李林.变化环境下中国不同强度降雨的时空变化特征[J].水电能源科学,2021,39(3):8-11,23.
[17] 董满宇,田相佑,胡木兰,等.1960—2017年太湖流域不同等级降水时空特征[J].热带地理,2020,40(6):1063-1074.
[18] 张珊,杨树文,王恒亮.顾及黄土滑坡的兰州市不同等级降雨时空变化特征[J].水土保持研究,2019,26(1):184-191.
[19] 申露婷,张方敏,黄进,等.1981—2018年内蒙古不同等级降水时空变化特征[J].气象科学,2022,42(2):162-170.
[20] 刘卫林,吴滨,李香,等.赣江流域不同等级降水变化特征及其与大尺度气候相关性研究[J].长江流域资源与环境,2022,31(3):659-672.
[21] 韩会明,郭红虎,游文荪,等.赣江流域降水时空分布特征[J].江西水利科技,2020,46(6):449-455.
[22] 鲁向晖,张海娜,胡羊羊.赣江流域1966—2015年降水量多尺度时空变化特征分析[J].水土保持研究,2021,28(2):168-175.
[23] 刘声洪,刘惠英,罗萍,等.赣江上游平江流域近30年不同量级降雨时空分布特征[J].水土保持研究,2022,29(3):106-114.
[24] 王永文,刘惠英.赣江上游章水流域1955—2015年降雨量时空变化[J].水土保持研究,2019,26(4):105-110.
[25] 江西省.江西河湖大典[M].武汉:长江出版社,2010.8.
[26] 中国气象局.《降水量等级》(GB/T28592-2012)[M].北京:中国标准出版社,2012.
[27] 周凯,王义民.基于EOF的渭河流域干旱时空分布特征研究[J].西北农林科技大学学报:自然科学版,2020,48(1):146-154.
[28] Bi S B, Qiu X K, Wang G J, et al. Spatial distribution characteristics of drought disasters in Hunan Province of China from 1644 to 1911 based on EOF and REOF methods[J]. Environmental Earth Sciences, 2021,80(16):533.
[29] Xu X R, Tian H Y, Tian W S, et al. The spatiotemporal patterns of the upper-tropospheric water vapor over the Tibetan plateau in summer based on EOF analysis[J]. Journal of Climate, 2022,35(15):5033-5051.
[30] 魏凤英.现代气候统计诊断与预测技术[M].北京:气象出版社,2007.
[31] 刘慧媛,邹磊,邢万里.1961—2018年海河流域极端降水时空演变特征[J].水电能源科学,2021,39(12):1-6.
[32] 任建成,王峰,卢晓宁.基于EOF和小波分析的山东省年降水时空变化特征[J].水土保持研究,2022,29(2):179-183.
[33] 南庆红,杨舵,杨青.应用EOF方法分析新疆降水变化特征[J].中国沙漠,2003(5):78-83.

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Last Update: 2023-08-10