川滇农牧交错带参考作物蒸散量演变特征及驱动因子分析

doi:10.14088/j.cnki.issn0439-8114.2023.12.012

湖北农业科学 ›› 2023, Vol. 62 ›› Issue (12): 56-62,119.doi: 10.14088/j.cnki.issn0439-8114.2023.12.012

川滇农牧交错带参考作物蒸散量演变特征及驱动因子分析

侯玲琳¹, 黄玺玮², 徐霞¹, 聂常乐^3,4

1.四川师范大学地理与资源科学学院,成都 610101;
2.西藏昌都市第四高级中学,西藏昌都 854000;
3.金华市宾虹高级中学,浙江金华 321000;
4.浙江师范大学地理与环境科学学院,浙江金华 321004

收稿日期:2022-10-28 发布日期:2024-01-10
作者简介:侯玲琳（1996-）,女,四川成都人,在读硕士研究生,研究方向为气候变化和农业气象,（电话）15583215591（电子信箱）861972035@qq.com。

The evolution characteristics and driving factors analysis of reference crop evapotranspiration in the agricultural and pastoral ecotone of Sichuan Province and Yunan Province

HOU Ling-lin¹, HUANG Xi-wei², XU Xia¹, NIE Chang-le^3,4

1. The Faculty Geography Resource Sciences, Sichuan Normal University, Chengdu 610101, China;
2. Tibet Changdu No. 4 Senior High School, Changdu 854000, Tibet, China;
3. Jinhua Binhong Senior High School, Jinhua 321000, Zhejiang, China;
4. College of Geography and Environmental Sciences, Zhejiang Normal University, Jinhua 321004, Zhejiang, China

Received:2022-10-28 Published:2024-01-10

摘要/Abstract

摘要： 应用川滇农牧交错带24个地面观测站点1961—2015年的逐日气象资料,选用Penman-Monteith公式计算各站点逐日参考作物蒸散量（ET₀）和地表湿润指数（SWI）,并采用气候倾向率、反距离插值法（IDW）、Mann-KendalL突变检验、主成分回归分析等方法分析研究区的ET₀和SWI时空变化特征以及各主要气象因子对不同区域参考作物蒸散量演变的影响程度。结果表明,1961—2015年,川滇农牧交错带ET₀呈下降趋势,SWI呈缓慢上升趋势,1987年为ET₀和SWI的突变年;湿润区与半湿润区可近似以横断山区边界作为分界线;全区四季参考作物蒸散量均在下降,冬季时空演变不显著;平均风速是影响ET₀变化的主导因子,日照时数和相对湿度次之,ET₀对最低气温响应最弱。

关键词: 参考作物蒸散量, 地表湿润指数, 演变特征, 驱动因子, 川滇农牧交错带

Abstract: Based on the daily meteorological data of 24 ground observation stations in the agricultural and pastoral ecotone of Sichuan Province and Yunan Province from 1961 to 2015, the daily reference crop evapotranspiration （ET₀） and surface humid index （SWI） of each station were calculated by Penman-Monteith formula. The temporal and spatial variation characteristics of ET₀ and SWI in the study area, and the influence degree of main meteorological factors on the evolution of evapotranspiration in different areas were analyzed using the climatic tendency rate, inverse distance weighting （IDW） interpolation, Mann-KendalL mutation test, principal component regression analysis and other methods. The results showed that, from 1961 to 2015, ET₀ in the agricultural and pastoral ecotone of Sichuan Province and Yunan Province showed a downward trend, SWI showed a slow upward trend, and 1987 was the mutation year of ET₀ and SWI. The boundary between the humid area and the semi-humid area could be approximately divided by the boundary of Hengduan Mountains.The reference crop evapotranspiration of the whole region was decreasing in four seasons, and the temporal and spatial evolution of reference crop evapotranspiration in winter was not significant. Average wind speed was the dominant factor affecting the change of ET₀, followed by sunshine hours and relative humidity, and ET₀ had the weakest response to the lowest temperature.

Key words: reference crop evapotranspiration, surface wetting index, evolution characteristics, driving factors, the agricultural and pastoral ecotone of Sichuan Province and Yunan Province

中图分类号:

P426.2⁺2

侯玲琳, 黄玺玮, 徐霞, 聂常乐. 川滇农牧交错带参考作物蒸散量演变特征及驱动因子分析[J]. 湖北农业科学, 2023, 62(12): 56-62,119.

HOU Ling-lin, HUANG Xi-wei, XU Xia, NIE Chang-le. The evolution characteristics and driving factors analysis of reference crop evapotranspiration in the agricultural and pastoral ecotone of Sichuan Province and Yunan Province[J]. HUBEI AGRICULTURAL SCIENCES, 2023, 62(12): 56-62,119.

参考文献

[1] IPCC. Emissions scenarios: A special report of working group III of the intergovernmental panels on climate change[M]. London:Cambridge press, 2000.
[2] 姜世中,刘贤赵,黄秀英,等.气象学与气候学[M].北京:科学出版社,2010.285.
[3] 胡琦,董蓓,潘学标,等.1961—2014年中国干湿气候时空变化特征及成因分析[J].农业工程学报,2017,33(6):124-132,315.
[4] DAI A G, TRENBERTH K T, QIAN T T.A global dataset of Palmer drought severity index for 1870-2002: Relationship with soil moisture and effects of surface warming[J].Journal of hydrometeorology, 2004, 5:1117-1130.
[5] RAMACHANDRA J T,VEERAPPA S R N,UDUPI D A. Assessment of spatiotemporal variability and trend analysis of reference crop evapotranspiration for the southern region of Peninsular India[J]. Environmental science and pollution research international, 2021, 29:41953-41970.
[6] DINPASHOH Y, JHAJHARIA D, FAKHERI-FARD A, et al.Trends in reference crop evapotranspiration over Iran[J]. Journal of hydrology, 2011, 399(3):422-433.
[7] NASROLLAHI M, ZOLFAGHARI A A, YAZDANI M R.Spatial and temporal properties of reference evapotranspiration and its related climatic parameters in the main agricultural regions of Iran[J]. Pure and applied geophysics, 2021, 178(10):4159-4179.
[8] 代海燕,都瓦拉,王晓江,等.内蒙古1981—2010年干湿气候类型和净第一性生产力演变[J].水土保持研究,2018,25(4):222-226.
[9] 邢愿,贺中华.喀斯特地区参考作物蒸散量变化特征及驱动机制研究——以贵州省为例[J].科技和产业,2021,21(4):264-272.
[10] 王允,刘普幸,曹立国,等.基于湿润指数的1960—2011年中国西南地区地表干湿变化特征[J].自然资源学报,2014,29(5):830-838.
[11] 李春友,张劲松,孟平,等.黑龙港流域参考作物蒸散量的时序变化和分形特征[J].中国农业气象,2011,32(1):81-88.
[12] 刘蓉,文军,王欣.黄河源区蒸散发量时空变化趋势及突变分析[J].气候与环境研究,2016,21(5):503-511.
[13] 申双和,张方敏,盛琼.1975—2004年中国湿润指数时空变化特征[J].农业工程学报,2009,25(1):11-15.
[14] 徐羽,吴艳飞,徐刚,等.长三角地区地表干湿状况及极端干湿事件特征研究[J].自然资源学报,2017,32(9):1579-1590.
[15] 王素萍,李耀辉,冯建英,等.1961—2012年甘肃省干湿变化特征及其影响因子[J].中国沙漠,2014,34(6):1624-1632.
[16] 乔青. 川滇农牧交错带景观格局与生态脆弱性评价[D].北京:北京林业大学,2007.
[17] 乔青,高吉喜,王维,等.川滇农牧交错带土地利用动态变化及其生态环境效应[J].水土保持研究,2007,14(6):341-344,347.
[18] 乔青,高吉喜,王维.川滇农牧交错区地形特征对土地利用空间格局的影响[J].长江流域资源与环境,2009,18(9):812-818.
[19] 马雯思,刘玮玮,赵宁,等.中国农牧交错带30年响应气候变异趋势分析[J].江苏农业科学,2017,45(24):279-284.
[20] 卫捷,马柱国.Palmer干旱指数、地表湿润指数与降水距平的比较[J].地理学报,2003,58(S1):117-124.
[21] 徐羽. 重庆市参考作物蒸散量及地表湿润指数时空分布规律研究[D].重庆:西南大学,2015.
[22] PENMAN H L.Natural evaporation from open water,bare soil and grass[J].Proceedings of the royal society of London,series A,mathematical and physical science, 1948, 193(1032):120-145.
[23] FAO. Crop evapotranspiration guidelines for computing crop water requirements[M].Rome: FAO-food and agriculture organization,1998.
[24] 李跃清,张晓春.“雅安天漏”研究进展[J].暴雨灾害,2011,30(4):289-295.

川滇农牧交错带参考作物蒸散量演变特征及驱动因子分析

The evolution characteristics and driving factors analysis of reference crop evapotranspiration in the agricultural and pastoral ecotone of Sichuan Province and Yunan Province

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