基于台站和MOD16数据的山东省蒸散及潜在蒸散时空变化

doi:10.18306/dlkxjz.2017.08.013

Abstract

Abstract:

Spatiotemporal pattern analysis of evapotranspiration plays an important role in understanding the interaction between climate change and water resources. Based on the Penman-Monteith formula, this study analyzed the temporal and spatial characteristics of land surface evapotranspiration and its correlation with meteorological factors in Shandong Province from 2000-2014 with the MODIS ET product (MOD16) and the observation data of evaporation dishes at meteorological stations. We first examined the accuracy of MOD16 for Shandong Province and selected 13 weather stations within the province with daily values of atmospheric pressure, temperature, precipitation, evaporation, relative humidity, wind direction, wind speed, sunshine hours, and 0 cm land surface temperature from 2000-2014. Through the analysis of the spatiotemporal correlation between MOD16 potential evapotranspiration (PET) and the observation data of evaporation dishes at the meteorological stations, the effectiveness of the MOD16 PET in the area was verified. Then we used the MRT tool provided by MODLAND to splice MOD16 and convert the projection into longitude and latitude by taking WGS-8 as the reference surface. Finally, based on MOD16 and the meteorological data, the spatiotemporal distribution characteristics of ET and PET from 2000-2014 were analyzed. The main conclusions are as follows. (1) There was plentiful water in the eastern part of Shandong Province while the western part was short of water, which resulted in a clear difference of ET over different areas in the province. (2) The annual fluctuations of ET and PET from 2000-2014 were relatively small. The average value of ET was 1529 mm while that of PET was 2178 mm, which indicates that Shandong Province is a relatively dry area. (3) The correlation analysis between evapotranspiration and meteorological factors indicates that the spatiotemporal variation of evapotranspiration was closely related to many climatic factors, especially the water and heat conditions.

Key words: MOD16, evapotranspiration, potential evapotranspiration, meteorological factor, spatiotemporal variation, Shandong Province

Shen ZHAO, Shaohui CHEN. Spatiotemporal variations of evapotranspiration and potential evapotranspiration in Shandong Province based on station observations and MOD16[J].PROGRESS IN GEOGRAPHY, 2017, 36(8): 1040-1047.

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References 21

1	杜加强, 熊珊珊, 刘成程, 等. 2013. 黄河上游地区几种参考作物蒸散量计算方法的适用性比较[J]. 干旱区地理, 36(5): 831-840.
	[Du J Q, Xiong S S, Liu C C, et al.2013. Comparison of models for estimating reference crop evapotranspiration in the headwater catchment of the Yellow River Basin, China[J]. Arid Land Geography, 36(5): 831-840.]
2	冯景泽, 王忠静. 2012. 遥感蒸散发模型研究进展综述[J]. 水利学报, 43(8): 914-925. doi: 10.1007/s11783-011-0280-z
	[Feng J Z, Wang Z J.2012. A review on evapotranspiration estimation models using remotely sensed data[J]. Journal of Hydraulic Engineering, 43(8): 914-925.] doi: 10.1007/s11783-011-0280-z
3	郎登潇, 师嘉褀, 郑江坤, 等. 2017. 近52a西南地区潜在蒸散发时空变化特征[J]. 长江流域资源与环境, 26(6): 945-954.
	[Lang D X, Shi J Q, Zheng J K, et al.2017. Spatial and temporal variations of potential evapotranspiration in southwestern China from 1962 to 2013[J]. Resources and Environment in the Yangtze Basin, 26(6): 945-954.]
4	李超凡, 罗格平, 李均力, 等. 2012. 近20a中亚净初级生产力与实际蒸散发特征分析[J]. 干旱区地理, 35(6): 919-927.
	[Li C F, Luo G P, Li J L, et al.2012. Net primary productivity and actual evapotranspiration of Central Asia in recent 20 years[J]. Arid Land Geography, 35(6): 919-927.]
5	李星敏, 杨文峰, 卢玲. 2011. 基于遥感技术的两种区域蒸散估算方法的应用比较[J]. 高原气象, 30(1): 125-132.
	[Li X M, Yang W F, Lu L.2011. Comparison of application results of two evapotranspiration estimation methods by remote sensing[J]. Plateau Meteorology, 30(1): 125-132.]
6	卢玲, 李新, 黄春林, 等. 2007. 中国西部植被水分利用效率的时空特征分析[J]. 冰川冻土, 29(5): 777-784. doi: 10.3969/j.issn.1000-0240.2007.05.016
	[Lu L, Li X, Huang C L, et al.2007. Analysis of the spatio-temporal characteristics of water use efficiency of vegetation in West China[J]. Journal of Glaciology and Geocryology, 29(5): 777-784.] doi: 10.3969/j.issn.1000-0240.2007.05.016
7	潘竟虎, 刘春雨. 2010. 基于TSEB平行模型的黄土丘陵沟壑区蒸散发遥感估算[J]. 遥感技术与应用, 25(2): 183-188.
	[Pan J H, Liu C Y.2010. Retrieving evapotranspiation of loess hilly-gully region using TSEB parallel model based on remote sensing image[J]. Remote Sensing Technology and Application, 25(2): 183-188.]
8	孙安健, 高波. 2000. 华北平原地区夏季严重旱涝特征诊断分析[J]. 大气科学, 24(3): 393-402. doi: 10.1007/s10011-000-0335-3
	[Sun A J, Gao B.2000. A diagnostic analyses of serious flood/drought during summer season in the north China plane[J]. Chinese Journal of Atmospheric Sciences, 24(3): 393-402.] doi: 10.1007/s10011-000-0335-3
9	王庆, 龚佃利, 孙即霖, 等. 2004. 山东夏季旱涝指数的振荡特征[J]. 中国海洋大学学报, 34(2): 173-181. doi: 10.3969/j.issn.1672-5174.2004.02.002
	[Wang Q, Gong D L, Sun J L, et al.2004. Oscillatory characteristic of Shandong summer rainfall index[J]. Journal of Ocean University of China, 34(2): 173-181.] doi: 10.3969/j.issn.1672-5174.2004.02.002
10	王希, 刘兰妹, 徐征和, 等. 2013. 山东省1960-2011年参考作物蒸散量变化特征研究[J]. 生态环境学报, 22(8): 1371-1377. doi: 10.3969/j.issn.1674-5906.2013.08.016
	[Wang X, Liu L M, Xu Z H, et al.2013. Variation characteristics of reference crop evapotranspiration from 1960 to 2011 in Shandong Province[J]. Ecology and Environmental Sciences, 22(8): 1371-1377.] doi: 10.3969/j.issn.1674-5906.2013.08.016
11	杨罗. 2000. 山东省水旱灾害变化规律分析及减灾对策建议[J]. 山东水利, (2): 12-13.
	[Yang L.2000. Analysis and Prevention countermeasures of drought flood hazards in Shandong Province changes[J]. Shandong Water Resources, (2): 12-13.]
12	杨文峰, 李星敏, 卢玲. 2013. 基于能量平衡的蒸散遥感估算模型的应用研究[J]. 西北农林科技大学学报: 自然科学版, 41(2): 46-52, 60.
	[Yang W F, Li X M, Lu L.2013. Application of remote sensing model based on energy balance to estimate evapotranspiration[J]. Journal of Northwest A&F University: Natural Science Edition, 41(2): 46-52, 60.]
13	苑文华, 张玉洁, 孙茂璞, 等. 2010. 山东省降水量与不同强度降水日数变化对干旱的影响[J]. 干旱气象, 28(1): 35-40. doi: 10.3969/j.issn.1006-7639.2010.01.006
	[Yuan W H, Zhang Y J, Sun M P, et al.2010. Impact of annual precipitation and rainy days with different grades variation on drought disaster in Shandong Province[J]. Journal of Arid Meteorology, 28(1): 35-40.] doi: 10.3969/j.issn.1006-7639.2010.01.006
14	张静, 任志远. 2017. 基于MOD16的汉江流域地表蒸散发时空特征[J]. 地理科学, 37(2): 274-282.
	[Zhang J, Ren Z Y.Spatio-temporal characteristics of evapotranspiration based on MOD16 in the Hanjiang River Basin[J]. Scientia Geographica Sinica, 37(2): 274-282.]
15	张晓琳, 熊立华, 林琳, 等. 2012. 五种潜在蒸散发公式在汉江流域的应用[J]. 干旱区地理, 35(2): 229-237.
	[Zhang X L, Xiong L H, Lin L, et al.2012. Application of five potential evapotranspiration equations in Hanjiang Basin[J]. Arid Land Geography, 35(2): 229-237.]
16	左德鹏, 徐宗学, 程磊, 等. 2011. 基于辐射的潜在蒸散量估算方法适用性分析[J]. 干旱区地理, 34(4): 565-574.
	[Zuo D P, Xu Z X, Cheng L, et al.2011. Assessment on radiation-based methods to estimate potential evapotranspiration[J]. Arid Land Geography, 34(4): 565-574.]
17	Allen R G, Pereira L S, Raes D, et al.1998. Crop evapotranspiration-guidelines for computing crop water requirements[R]. FAO Irrigation and Drainage Paper 56. Rome Italy: FAO.
18	Bastiaanssen W G M, Menenti M, Feddes R A, et al.1998. A remote sensing surface energy balance algorithm for land (SEBAL). 1. Formulation[J]. Journal of Hydrology, 212-213: 198-212. doi: 10.1016/S0022-1694(98)00254-6
19	Mu Q Z, Heinsch F A, Zhao M S, et al.2007. Development of a global evapotranspiration algorithm based on MODIS and global meteorology data[J]. Remote sensing of Environment, 111(4): 519-536. doi: 10.1016/j.rse.2007.04.015
20	Mu Q Z, Zhao M S, Running S W, et al.2011. Improvements to a MODIS global terrestrial evapotranspiration algorithm[J]. Remote Sensing of Environment, 115(8): 1781-1800. doi: 10.1016/j.rse.2011.02.019
21	Su Z.2002. The surface energy balance system (SEBS) for estimation of turbulent heat fluxes[J]. Hydrology and Earth System Sciences, 6(1): 85-100. doi: 10.5194/hess-6-85-2002

	相对湿度	气温	降水	气压	蒸发量	日照时数	风速
ET	0.741	0.628	0.757	0.221	-0.487	-0.653	-0.302
PET	-0.724	-0.509	-0.813	-0.206	0.621	0.862	0.432

	相对湿度	气温	降水	气压	蒸发量	日照时数	风速
ET	0.560	0.725	0.732	-0.682	0.521	0.145	-0.143
PET	-0.072	0.913	0.573	-8.016	0.653	0.706	0.582

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Spatiotemporal variations of evapotranspiration and potential evapotranspiration in Shandong Province based on station observations and MOD16

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