PDF Download HTML

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

[1]ZHANG Qian,LIU Ji,WEI Rong,et al.Analysis on the Spatial and Temporal Characteristics of Dry and Wet Evolution of Economic Belt in the Upper Reaches of Yangtze River Based on SPEI Index[J].Research of Soil and Water Conservation,2021,28(04):203-211.

Copy

Analysis on the Spatial and Temporal Characteristics of Dry and Wet Evolution of Economic Belt in the Upper Reaches of Yangtze River Based on SPEI Index

Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume: 28 Number of periods: 2021 04 Page number: 203-211 Column: Public date: 2021-08-10

Title:: Analysis on the Spatial and Temporal Characteristics of Dry and Wet Evolution of Economic Belt in the Upper Reaches of Yangtze River Based on SPEI Index

Author(s):: ZHANG Qian^1,2,3, LIU Ji^1,2,3, WEI Rong^1,2,3, ZHANG Te^1,2,3, LIU Yanli^4,5; (1HydrologyandEnvironmentalEngineering,ChinaThreeGorgesUniversity,Yichang,Hubei443002China; 2EngineeringResearchCenterfortheEcologicalEnvironmentoftheThreeGorgesReservoirArea,MinistryofEducation,Yichang,Hubei443002China; 3HubeiCollaborativeInnovationCenterforWaterResourcesSecurity,Wuhan430072China; 4ClimateChangeResearchCenter,MinistryofWaterResources,Nanjing210029China; 5.StateKeyLaboratoryofHydrology,WaterResourcesandHydraulicEngineering,NanjingInstituteofHydraulicResearch,Nanjing210098China)

Keywords:: SPEI index; cloud model; Mann-Kendall test; wet and dry evolution; spatiotemporal changes

CLC:: P467

DOI:: -

Abstract:: The Yangtze River Economic Belt is one of the important economic belts where the population and economy are highly concentrated in China, and is the area rich in water resources. Studying the characteristics of the spatial and temporal evolution of dryness and wetness in this region is of great significance for regional economic development, sustainable use of water resources, and ecological construction. Chongqing, Sichuan, Yunnan, and Guizhou in the upper reaches of the Yangtze River Economic Belt were selected as the study area. The monthly meteorological data of 87 weather stations from 1961 to 2018 were used to calculate the standardized precipitation evapotranspiration index(SPEI), and to reveal the temporal and spatial evolution characteristics of dryness and wetness in the study area during the year and four seasons based on Mann-Kendall Trend and mutation test, cloud model. The results show that:(1)aridity trends were observed, and the SPEI slope rates were -0.027/decade, -0.004 8/decade, -0.048/decade and -0.006 7/decade in the whole year, summer, autumn and winter in the Economic Belt of the upper reaches of the Yangtze River during the period from 1961 to 2018; the humid tends were observed in the spring, the SPEI slope rate was 0.031/decade; there was an abrupt change from wet to dry levels in the autumn in 1995, and there was no significant change in SPEI on the other time scales;(2)aridity was dominant in the northern part of the study area, and humidification was dominant in the southern part; 63% and 53% of the sites showed the drought trend in spring and winter, 50% and 85% of the sites showed the humidification trend in summer and autumn;(3)cloud model analysis showed that the annual and seasonal multi-year average dry and wet conditions in the upper reaches of the Yangtze River Economic Belt in 58 years were normal, and the spatial distribution of SPEI was more uniform than the temporal distribution.

References:: [1] 罗登泽,靳晓言,强皓凡,等.基于SPEI的若尔盖湿地干湿时空演变特征分析[J].水土保持研究,2019,26(2):227-233.
[2] 刘小刚,冷险险,孙光照,等.基于1961—2100年SPI和SPEI的云南省干旱特征评估[J].农业机械学报,2018,49(12):236-245,299.
[3] 曹永强,曹阳,徐丹.1961—2010年黄淮海流域旱涝时空变化特征[J].资源科学,2015,37(10):2068-2077.
[4] 郭嘉豪,王会肖,赵茹欣.基于最优拟合函数的SPI指数的松嫩平原干旱特征分析[J].北京师范大学学报:自然科学版,2020,56(2):240-249.
[5] 于成龙,唐权,郭春玲,等.基于scPDSI的东北地区气象干旱时空特征分析[J].气象与环境科学,2020,43(3):24-32.
[6] Stagge J H, Tallaksen L M, Gudmundsson L, et al. Response to comment on Candidate Distributions for Climatological Drought Indices(SPI and SPEI)[J]. International Journal of Climatology, 2016,36(4):2132-2138.
[7] 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.
[8] 王文,李亮,蔡晓军. CI指数及SPEI指数在长江中下游地区的适用性分析[J].热带气象学报,2015,31(3):403-416.
[9] 汪曼琳,万新宇,钟平安,等.长江上游降水特征及时空演变规律[J].南水北调与水利科技,2016,14(4):65-71.
[10] Mehr A D,Vaheddoost B. Identification of the trends associated with the SPI and SPEI indices across Ankara, Turkey[J]. Theoretical and Applied Climatology, 2020,139(3):1531-1542.
[11] 张丹,张广涛,王丽学,等.彭曼—蒙特斯公式在参考作物需水量中的应用研究[J].安徽农业科学,2006(18):4513-4514.
[12] 郭梦,张奇莹,钱会,等.基于SPEI干旱指数的陕西省干旱时空分布特征分析[J].水资源与水工程学报,2019,30(3):127-132,138.
[13] 王建新,王健.序列一阶自相关对MK突变检验影响的探讨[J].山东理工大学学报:自然科学版,2018,32(2):66-69.
[14] 孙朋,郭忠臣,刘娜,等.基于云模型的安徽省干湿指数时空分布特征研究[J].农业机械学报,2020,51(4):147-155.
[15] 金菊良,宋占智,蒋尚明,等.基于云模型的淮北平原参考作物蒸散量时空分布[J].南水北调与水利科技,2017,15(1):25-32.
[16] 薛黎明,李长明,郑志学,等.基于云理论的综合评价方法[J].系统科学学报,2020,28(2):68-72.

Similar References:

Memo

Last Update: 2021-08-20