Ecology and Environment ›› 2021, Vol. 30 ›› Issue (6): 1229-1239.DOI: 10.16258/j.cnki.1674-5906.2021.06.014
• Research Articles • Previous Articles Next Articles
CHU Ronghao1(), LI Meng2,*(
), XIE Pengfei2, NI Feng2, JIANG Yuelin2, SHEN Shuanghe3
Received:
2021-01-10
Online:
2021-06-18
Published:
2021-09-10
Contact:
LI Meng
褚荣浩1(), 李萌2,*(
), 谢鹏飞2, 倪锋2, 蒋跃林2, 申双和3
通讯作者:
李萌
作者简介:
褚荣浩(1991年生),男,工程师,博士,主要从事农业气象研究。E-mail: ronghao_chu@163.com
基金资助:
CLC Number:
CHU Ronghao, LI Meng, XIE Pengfei, NI Feng, JIANG Yuelin, SHEN Shuanghe. Characteristics and Influencing Factors of Surface Evapotranspiration and Drought in Anhui Province during Recent 20 Years[J]. Ecology and Environment, 2021, 30(6): 1229-1239.
褚荣浩, 李萌, 谢鹏飞, 倪锋, 蒋跃林, 申双和. 安徽省近20年地表蒸散和干旱变化特征及其影响因素分析[J]. 生态环境学报, 2021, 30(6): 1229-1239.
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URL: https://www.jeesci.com/EN/10.16258/j.cnki.1674-5906.2021.06.014
变化趋势 Change trend | 不显著增加 Insignificant increase | 显著增加 Significant increase | 不显著减少 Insignificant decrease | 显著减少 Significant decrease |
---|---|---|---|---|
ET | 14.71% | 80.71% | 3.00% | 1.58% |
PET | 87.84% | 4.63% | 6.20% | 1.33% |
CWSI | 4.55% | 0.55% | 32.79% | 62.11% |
Table 1 Significance test of variation trends of ET, PET and CWSI in Anhui Province during 2000-2019 (percentage of total area)
变化趋势 Change trend | 不显著增加 Insignificant increase | 显著增加 Significant increase | 不显著减少 Insignificant decrease | 显著减少 Significant decrease |
---|---|---|---|---|
ET | 14.71% | 80.71% | 3.00% | 1.58% |
PET | 87.84% | 4.63% | 6.20% | 1.33% |
CWSI | 4.55% | 0.55% | 32.79% | 62.11% |
[1] | BASTIAANSSEN W G M, MENENTI M, FEDDES R A, et al., 1998a. A remote sensing surface energy balance algorithm for land (SEBAL): 1. Formulation[J]. Journal of Hydrology, 212-213: 198-212. |
[2] | BASTIAANSSEN W G M, PELGRUM H, WANG J, et al., 1998b. A remote sensing surface energy balance algorithm for land (SEBAL): Part 2: Validation[J]. Journal of Hydrology, 212-213: 213-229. |
[3] |
DU J, SONG K, 2017. Validation of global evapotranspiration product (MOD16) using flux tower data from Panjin Coastal Wetland, northeast China[J]. Chinese Geographical Science, 28(3): 420-429.
DOI URL |
[4] |
GOWDA P H, CHAVEZ J L, COLAIZZI P D, et al., 2008. ET mapping for agricultural water management: Present status and challenges[J]. Irrigation Science, 26(3): 223-237.
DOI URL |
[5] | HUANG K, LU Y, WEI Z, et al., 2019. Effects of land use and climate change on spatiotemporal changes of evapotranspiration in Haihe River Basin[J]. Journal of Geographical Sciences, 21(12): 1888-1902. |
[6] |
JACKSON R D, IDSO S B, REGINATO R J, et al., 1981. Canopy temperature as a crop water stress indicator[J]. Water Resources Research, 17(4): 1133-1138.
DOI URL |
[7] |
JACKSON R D, KUSTAS W P, CHOUDHURY B J, 1988. A reexamination of the crop water stress index[J]. Irrigation Science, 9(4): 309-317.
DOI URL |
[8] |
JHAJHARIA D, SHRIVASTAVA S K, SARKAR D, et al., 2009. Temporal characteristics of pan evaporation trends under the humid conditions of northeast India[J]. Agricultural and Forest Meteorology, 149(5): 763-770.
DOI URL |
[9] | KENDALL M G, 1975. Rank Correlation Methods[M]. London: Griffin. |
[10] |
LI M, CHU R H, SHEN S H, et al., 2018. Quantifying climatic impact on reference evapotranspiration trends in the Huai River basin of eastern China[J]. Water, 10(2): 144.
DOI URL |
[11] |
LI Y Z, LIANG K, BAI P, et al., 2016. The spatiotemporal variation of reference evapotranspiration and the contribution of its climatic factors in the Loess Plateau, China[J]. Environmental Earth Sciences, 75(4): 1-14.
DOI URL |
[12] |
MANN H B, 1945. Nonparametric test against trend[J]. Econometrica, 13(3): 245-259.
DOI URL |
[13] |
MIRALLES D G, HOLMES T R H, JEU R A M D, et al., 2011. Global land-surface evaporation estimated from satellite-based observations[J]. Hydrology and Earth System Sciences, 15(2): 453-469.
DOI URL |
[14] |
MU Q Z, ZHAO M S, RUNNING S W, 2011. Improvements to a MODIS global terrestrial evapotranspiration algorithm[J]. Remote Sensing of Environment, 115(8): 1781-1800.
DOI URL |
[15] |
NORMAN J M, KUSTAS W P, HUMES K S, 1995. Source approach for estimating soil and vegetation energy fluxes in observations of directional radiometric surface temperature[J]. Agricultural and Forest Meteorology, 77(3-4): 263-293.
DOI URL |
[16] |
ROERINK G J, SU Z, MENENTI M, 2000. S-SEBI: A simple remote sensing algorithm to estimate the surface energy balance[J]. Physics and Chemistry of the Earth (B), 25: 147-157.
DOI URL |
[17] |
SANCHEZ J M, KUSTAS W P, CASELLES V, et al., 2008. Modelling surface energy fluxes over maize using a two-source patch model and radiometric soil and canopy temperature observations[J]. Remote Sensing of Environment, 112(3): 1130-1143.
DOI URL |
[18] |
SEN P K, 1968. Estimates of the regression coefficient based on Kendall's Tau[J]. Journal of the American Statistical Association, 63(324): 1379-1389.
DOI URL |
[19] |
SHEFFIELD J, WOOD E F, RODERICK M L, 2012. Little change in global drought over the past 60 years[J]. Nature, 491(7424): 435-438.
DOI URL |
[20] |
SU Z, 2002. The Surface Energy Balance System (SEBS) for estimation of turbulent heat fluxes[J]. Hydrology and Earth System Sciences, 6(1): 85-99.
DOI URL |
[21] |
TABARI H, MAROFI S, 2011. Changes of pan evaporation in the west of Iran[J]. Water Resources Management, 25(1): 97-111.
DOI URL |
[22] | THEIL H, 1992. A Rank-Invariant Method of Linear and Polynomial Regression Analysis[M]. Dordrecht: Springer: 345-381. |
[23] |
THOMAS A, 2008. Development and properties of 0.25 degree gridded evapotranspiration data fields of China for hydrological studies[J]. Journal of Hydrology, 358(3-4): 145-158.
DOI URL |
[24] |
WALTER M T, WILKS D S, PARLANGE J Y, 2004. Increasing evapotranspiration from the conterminous united states[J]. Journal of Hydrometeorology, 5(3): 405-408.
DOI URL |
[25] |
XU C Y, GONG L, JIANG T, et al., 2006. Analysis of spatial distribution and temporal trend of reference evapotranspiration and pan evaporation in Changjiang (Yangtze River) catchment[J]. Journal of Hydrology, 327(1-2): 81-93.
DOI URL |
[26] | 邓兴耀, 刘洋, 刘志辉, 等, 2017. 中国西北干旱区蒸散发时空动态特征[J]. 生态学报, 37(9): 2994-3008. |
DENG X Y, LIU Y, LIU Z H, et al., 2017. Temporal-spatial dynamic change characteristics of evapotranspiration in arid region of northwest China[J]. Acta Ecologica Sinica, 37(9): 2994-3008. | |
[27] | 范建忠, 李登科, 高茂盛, 2014. 基于MOD16的陕西省蒸散量时空分布特征[J]. 生态环境学报, 23(9): 1536-1543. |
FAN J Z, LI D K, GAO M S, 2014. Spatio-temporal variations of evapotranspiration in Shaanxi province using MOD16 products[J]. Ecology and Environmental Sciences, 23(9): 1536-1543. | |
[28] | 冯飞, 姚云军, 张彦彬, 等, 2015. 基于MOD16产品的三江平原蒸散量时空分布特征分析[J]. 生态环境学报, 24(11): 1858-1864. |
FENG F, YAO Y J, ZHANG Y B, et al., 2015. Spatio-temporal Variations of Evapotranspiration in Sanjiang Plain Using MOD16 Products[J]. Ecology and Environmental Sciences, 24(11): 1858-1864. | |
[29] | 何慧娟, 卓静, 李红梅, 等, 2016. 基于MOD16 产品的陕西关中地区干旱时空分布特征[J]. 干旱地区农业研究, 34(1): 236-241. |
HE H J, ZHUO J, LI H M, et al., 2016. Spatial-temporal distribution characteristics of drought in Guanzhong region of Shaanxi Province based on MOD16 products[J]. Agricultural Research in the Arid Areas, 34(1): 236-241. | |
[30] | 马梓策, 于红博, 张巧凤, 2020. 2000—2017年锡林河流域地表蒸散量的时空特征及其影响因素[J]. 中国农村水利水电 (3): 18-24. |
MA Z C, YU H B, ZHANG Q F, 2020. Spatio-temporal characteristics of evapotranspiration and its influencing factors in Xilin River Basin from 2000 to 2017 [J]. China Rural Water and Hydropower (3): 18-24. | |
[31] | 田义超, 梁铭忠, 胡宝清, 2015. 2000—2013年北部湾海岸带蒸散量时空动态特征[J]. 农业机械学报, 46(8): 146-158. |
TIAN Y C, LIANG M Z, HU B Q, 2015. Temporal-spatial dynamic change characteristics of evapotranspiration in Beibu Gulf Coastal Zone during 2000-2013 [J]. Transactions of the Chinese Society for Agricultural Machinery, 46(8): 146-158. | |
[32] | 王鹏涛, 延军平, 蒋冲, 等, 2016. 2000—2012年陕甘宁黄土高原区地表蒸散时空分布及影响因素[J]. 中国沙漠, 36(2): 499-507. |
WANG P T, YAN J P, JIANG C, et al., 2016. Spatial and temporal variations of evapotranspiration and its influencing factors in the Loess Plateau in Shaanxi-Gansu-Ningxia region[J]. Journal of Desert Research, 36(2): 499-507. | |
[33] | 位贺杰, 张艳芳, 朱妮, 等, 2015. 基于MOD16数据的渭河流域地表实际蒸散发时空特征[J]. 中国沙漠, 35(2): 414-422. |
WEI H J, ZHANG Y F, ZHU N, et al., 2015. Spatial and temporal characteristic of ET in the Weihe river basin based on MOD16 data[J]. Journal of Desert Research, 35(2): 414-422 | |
[34] | 吴必文, 温华洋, 叶朗明, 等, 2009. 安徽地区近45年蒸发皿蒸发量变化特征及影响因素初探[J]. 长江流域资源与环境, 18(7): 620-624. |
WU B W, WEN H Y, YE L M, et al., 2009. Variation and influencing factors of pan evaporation in Anhui province in latest 45 years[J]. Resources and Environment in the Yangtze Basin, 18(7): 620-624. | |
[35] | 吴桂平, 刘元波, 赵晓松, 等, 2013. 基于MOD16产品的鄱阳湖流域地表蒸散量时空分布特征[J]. 地理研究, 32(4): 617-627. |
WU G P, LIU Y B, ZHAO X S, et al., 2013. Spatio-temporal variations of evapotranspiration in Poyang Lake Basin using MOD16 products[J]. Geographical Research, 32(4): 617-627. | |
[36] | 吴文玉, 孔芹芹, 王晓东, 等, 2013. 安徽省近40年参考作物蒸散量的敏感性分析[J]. 生态环境学报, 22(7): 1160-1166. |
WU W Y, KONG Q Q, WANG X D, et al., 2013. Sensitivity analysis of reference crop evapotranspiration in Anhui province in the recent 40 years[J]. Ecology and Environmental Sciences, 22(7): 1160-1166. | |
[37] | 杨炳玉, 申双和, 张富存, 等, 2015. 不同尺寸蒸渗仪测定作物蒸散的田间试验研究[J]. 中国农业气象, 36(2): 161-169. |
YANG B Y, SHEN S H, ZHANG F C, et al., 2015. Field experiment on crop evapotranspiration measurements via lysimeters with different scales[J]. Chinese Journal of Agrometeorology, 36(2): 161-169. | |
[38] |
叶红, 张廷斌, 易桂花, 2018. 2000—2014年黄河源区ET时空特征及其与气候因子关系[J]. 地理学报, 73(11): 2117-2134.
DOI |
YE H, ZHANG T B, YI G H, et al., 2018. Spatio-temporal characteristics of evapotranspiration and its relationship with climate factors in the source region of the Yellow River from 2000 to 2014 [J]. Acta Geographica Sinica, 73(11): 2117-2134. | |
[39] | 喻元, 白建军, 王建博, 等, 2015. 基于MOD16的关中地区实际蒸散发时空特征分析[J]. 干旱地区农业研究, 33(3): 245-253. |
YU Y, BAI J J, WANG J B, et al., 2015. Analysis on sptio-temporal characteristics of ET based on MOD16 in Guanzhong Region. Agricultural Research in the Arid Areas, 33(3): 245-253. | |
[40] | 张猛, 曾永年, 齐玥, 2018. 基于MOD16的洞庭湖流域2000—2014年地表蒸散时空变化分析[J]. 农业工程学报, 34(20): 160-168. |
ZHANG M, ZENG Y N, QI Y, 2018. Analyzing spatio-temporal variations of evapotranspiration in Dongting Lake Basin during 2000-2014 based on MOD16[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 34(20): 160-168. | |
[41] | 张特, 刘冀, 董晓华, 等, 2018. 基于MOD16的澴河流域蒸散发时空分布特征[J]. 灌溉排水学报, 37(8): 121-128. |
ZHANG T, LIU J, DONG X H, et al., 2018. Spatiotemporal variation of evapotranspiration in Huan River basin using the MOD16 dataset[J]. Journal of Irrigation and Drainage, 37(8): 121-128. |
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