Evapotranspiration estimation using three-temperature model and influencing factors of Nanning City, China

doi:10.13287/j.1001-9332.202101.013

Abstract

Abstract: Evapotranspiration is the key element of hydrological energy cycle and climate system. It is of great significance to estimate the spatiotemporal variation of evapotranspiration and its response to climate and land use changes for understanding the effects of water cycle and ecological processes in urban basins. Based on the three-temperature model and MODIS Image, we estimated and analyzed the spatiotemporal variation of evapotranspiration in Nanning City from 2001 to 2018, and examined the influence and driving mode of main climate factors and land use types on evapotranspiration. The results showed that the annual average evapotranspiration of Nanning City ranged from 495.7 to 781.1 mm during 2001-2018, with the inter annual relative variability ranging from -22.5% to 23.1%, showing an overall upward trend. The regional evapotranspiration showed a distribution pattern of high north-south and low middle, with the urban evapotranspiration being significantly lower than suburban area. The evapotranspiration had a significant multiple correlation with climate factors. The influence of temperature on the evapotranspiration was stronger than precipita-tion. Evapotranspiration was temperature driven in suburbs, but was driven by multiple factors in urban area. The average evapotranspiration of different land use types in Nanning was forests (823.4 mm) > grasslands (675.6 mm) > croplands (582.9 mm) > urban area (346.6 mm). The change of land use type was the main underlying surface factor leading to the significant change of regional evapotranspiration.

Key words: evapotranspiration, three-temperature model, climate factor, land use, Nanning City

WEI Jun-pei, YANG Yun-chuan, XIE Xin-chang, LIAO Li-ping, TIAN Yi, ZHOU Jin-yu. Evapotranspiration estimation using three-temperature model and influencing factors of Nanning City, China[J]. Chinese Journal of Applied Ecology, 2021, 32(1): 289-298.

References

[1] 冯景泽, 王忠静. 遥感蒸散发模型研究进展综述. 水利学报, 2012, 43(8): 914-925 [Feng J-Z, Wang Z-J. Review of remote sensing evapotranspiration model. Journal of Hydraulic Engineering, 2012, 43(8): 914-925]
[2] 张宝忠, 许迪, 刘钰, 等. 多尺度蒸散发估测与时空尺度拓展方法研究进展. 农业工程学报, 2015, 31(6): 8-16 [Zhang B-Z, Xu D, Liu Y, et al. Research progress of multi-scale evapotranspiration estimation and spatiotemporal scale expansion method. Transactions of the Chinese Society of Agricultural Engineering, 2015, 31(6): 8-16]
[3] 牛忠恩, 胡克梅, 何洪林, 等. 2000—2015年中国陆地生态系统蒸散时空变化及其影响因素. 生态学报, 2019, 39(13): 4697-4709 [Niu Z-E, Hu K-M, He H-L, et al. Temporal and spatial variation of evapotranspiration of terrestrial ecosystem in China and its influencing factors from 2000 to 2015. Acta Ecologica Sinica, 2019, 39(13): 4697-4709]
[4] Qiu GH, Tan SJ, Wang Y, et al. Characteristics of evapotranspiration of urban lawns in a sub-tropical megacity and its measurement by the ‘Three Temperature Model plus Infrared Remote Sensing’ method. Remote Sensing, 2017, 9: 502-519
[5] 邱国玉, 张晓楠. 21世纪中国的城市化特点及其生态环境挑战. 地球科学进展, 2019, 34(6): 640-649 [Qiu G-Y, Zhang X-N. Urbanization characteristics and ecological environment challenges in China in the 21st century. Advances in Earth Science, 2019, 34(6): 640-649]
[6] 徐宗学, 程涛. 城市水管理与海绵城市建设之理论基础——城市水文学研究进展. 水利学报, 2019, 50(1): 53-61 [Xu Z-X, Cheng T. Theoretical basis of urban water management and sponge city construction: Progress in urban hydrology research. Journal of Hydraulic Engineering, 2019, 50(1): 53-61]
[7] 宋晓猛, 张建云, 王国庆, 等. 变化环境下城市水文学的发展与挑战.II城市雨洪模拟与管理. 水科学进展, 2014, 25(5): 752-764 [Song X-M, Zhang J-Y, Wang G-Q, et al. Development and challenges of urban hydrology under changing environment II. Urban stormwater simulation and management. Advances in Water Science, 2014, 25(5): 752-764]
[8] 李翔泽, 李宏勇, 张清涛, 等. 不同地被类型对城市热环境的影响研究. 生态环境学报, 2014, 23(1): 106-112 [Li X-G, Li H-Y, Zhang Q-T, et al. Influence of different ground cover types on urban thermal environment. Ecology and Environmental Sciences, 2014, 23(1): 106-112]
[9] 黄葵, 卢毅敏, 魏征, 等. 土地利用和气候变化对海河流域蒸散发时空变化的影响. 地球信息科学学报, 2019, 21(12): 1888-1902 [Huang K, Lu Y-M, Wei Z, et al. Effects of land use and climate change on temporal and spatial variation of evapotranspiration in Haihe River Basin. Journal of Geo-Information Science, 2019, 21(12): 1888-1902]
[10] 秦孟晟, 郝璐, 郑箐舟, 等. 秦淮河流域土地利用/覆被变化对蒸散量变化的贡献. 中国农业气象, 2019, 40(5): 269-283 [Qin M-S, Hao L, Zheng J-Z, et al. Contribution of land use / cover change to evapotranspiration change in Qinhuai River Basin. Chinese Journal of Agrometeorology, 2019, 40(5): 269-283]
[11] 王燕鑫, 李瑞平, 李夏子. 河套灌区不同土地类型生长季蒸散发量估算及其变化特征. 干旱区研究, 2020, 37(2): 364-373 [Wang Y-X, Li R-P, Li X-Z. Estimation and variation characteristics of evapotranspiration of different land types in Hetao irrigation area during growing season. Arid Zone Research, 2020, 37(2): 364-373]
[12] 李纪人. 与时俱进的水利遥感. 水利学报, 2016, 47(3): 436-442 [Li J-R. Remote sensing of water conservancy keeping pace with the times. Journal of Hydraulic Engineering, 2016, 47(3): 436-442]
[13] 钟昊哲, 徐宪立, 张荣飞, 等. 基于Penman-Monteith-Leuning遥感模型的西南喀斯特区域蒸散发估算. 应用生态学报, 2018, 29(5): 1617-1625 [Zhong H-Z, Xu X-L, Zhang R-F, et al. Estimation of evapotranspiration in southwest karst region based on Penman-Monteith-Leuning remote sensing model. Transactions of the Chinese Journal of Applied Ecology, 2018, 29(5): 1617-1625]
[14] 连晋姣, 黄明斌, 李杏鲜, 等. 夏季黑河中游绿洲样带蒸散量遥感估算. 农业工程学报, 2014, 30(15): 120-129 [Lian J-J, Huang M-B, Li X-X, et al. Remote sensing estimation of evapotranspiration of oasis transect in the middle reaches of Heihe River in summer. Transactions of the Chinese Society of Agricultural Engineering, 2014, 30(15): 120-129]
[15] 唐婷, 冉圣宏, 谈明洪. 京津唐地区城市扩张对地表蒸散发的影响. 地球信息科学学报, 2013, 15(2): 233-240 [Tang T, Ran M-H, Tan M-H. Influence of urban expansion on surface evapotranspiration in Beijing-Tianjin-Tangshan region. Journal of Geo-Information Science, 2013, 15(2): 233-240]
[16] 赵春江, 杨贵军, 薛绪掌, 等. 基于互补相关模型和IKONOS数据的农田蒸散时空特征分析. 农业工程学报, 2013, 29(8): 115-124 [Zhao C-J, Yang G-J, Xue X-Z, et al. Analysis of temporal and spatial characteristics of farmland evapotranspiration based on complementary correlation model and IKONOS data. Transactions of the Chinese Society of Agricultural Engineering, 2013, 29(8): 115-124]
[17] 王文, 王晓刚, 黄对, 等. 应用地表温度与植被指数梯形空间关系估算陆面蒸散量. 农业工程学报, 2013, 29(12): 101-109 [Wang W, Wang X-G, Huang D, et al. Estimation of land surface evapotranspiration using trapezoidal spatial relationship between land surface temperature and vegetation index. Transactions of the Chinese Society of Agricultural Engineering, 2013, 29(12): 101-109]
[18] Qiu GY, Miyamoto K, Sase S, et al. Detection of crop transpiration and water stress by temperature-related approach under field and greenhouse conditions. Japan Agricultural Research Quarterly, 2000, 34: 29-37
[19] Qiu GY, Miyamoto K, Sase S, et al. Comparison of the three-temperature model and conventional models for estimating transpiration.Japan Agricultural Research Quarterly, 2002, 36: 73-82
[20] Qiu GY, Zou ZD, Li XZ, et al. Experimental studies on the effects of green space and evapotranspiration on urban heat island in a subtropical megacity in China. Habitat International, 2017, 68: 30-42
[21] Yan CH, Zhao WL, Wang Y, et al. Effects of forest evapotranspiration on soil water budget and energy flux partitioning in a subalpine valley of China. Agricultural and Forest Meteorology, 2017, 246: 207-217
[22] Wang YQ, Xiong YJ, Qiu GY, et al. Is scale really a challenge in evapotranspiration estimation? A multi-scale study in the Heihe oasis using thermal remote sensing and the three-temperature model. Agricultural and Forest Meteorology, 2016, 230: 128-141
[23] Tian F, Lu YH, Fu BJ, et al. Effects of ecological engineering on water balance under two different vegetation scenarios in the Qilian Mountain, northwestern China. Journal of Hydrology-Regional Studies, 2016, 5: 324-335
[24] 宋晓猛, 张建云, 占车生, 等. 气候变化和人类活动对水文循环影响研究进展. 水利学报, 2013, 44(7): 779-790 [Song X-M, Zhang J-Y, Zhan C-S, et al. Research progress on the impact of climate change and human activities on hydrological cycle. Journal of Hydraulic Engineering, 2013, 44(7): 779-790]
[25] Li H, Ding LQ, Ren ML, et al. Sponge city construction in China: A survey of the challenges and opportunities. Water, 2017, 9: 594-611
[26] Xia J, Zhang YY, Xiong LH, et al. Opportunities and challenges of the sponge city construction related to urban water issues in China. Science China Earth Sciences, 2017, 60: 652-658
[27] 熊育久, 邱国玉, 陈晓宏, 等. 三温模型与MODIS影像反演蒸散发. 遥感学报, 2012, 16(5): 969-974 [Xiong Y-J, Qiu G-Y, Chen X-H, et al. Three tempe-rature model and MODIS image inversion evapotranspiration. Journal of Remote Sensing, 2012, 16(5) : 969-974]
[28] 邱国玉, 王帅, 吴晓. 三温模型——基于表面温度测算蒸散和评价环境质量的方法Ⅰ.土壤蒸发. 植物生态学报, 2006, 30(2): 231-238 [Qiu G-Y, Wang S, Wu X. Three temperature model, based on the surface temperature is calculated evapotranspiration and methods to evaluate the quality of the environment. Ⅰ. Soil evaporation. Chinese Journal of Plant Ecology, 2006, 30(2): 231-238]
[29] Xiong YJ, Qiu GY. Estimation of evapotranspiration using remotely sensed land surface temperature and the revised three-temperature model. International Journal of Remote Sensing, 2011, 32: 5853-5874
[30] Xiong YJ, Qiu GY. Simplifying the revised three-temperature model for remotely estimating regional evapotranspiration and its application to a semi-arid steppe. International Journal of Remote Sensing, 2014, 35: 2003-2027
[31] Jackson RD, Hatfield JL, Reginato RJ, et al. Estimation of daily evapotranspiration from one time-of-day measurements. Agricultural Water Management, 1983, 7: 351-362
[32] 叶红, 张廷斌, 易桂花, 等. 2000—2014年黄河源区ET时空特征及其与气候因子关系. 地理学报, 2018, 73(11): 2117-2134 [Ye H, Zhang T-B, Yi G-H, et al. Temporal and spatial characteristics of ET and its relationship with climate factors in the source region of the Yellow River from 2000 to 2014. Acta Geographica Sinica, 2018, 73(11): 2117-2134]
[33] 刘波, 肖子牛, 马柱国. 中国不同干湿区蒸发皿蒸发和实际蒸发之间关系的研究. 高原气象, 2010, 29(3): 629-636 [Liu B, Xiao Z-N, Ma Z-G. Research on the relationship between evaporation in evaporation dish and actual evaporation in different dry and wet areas in China. Plateau Meteorology, 2010, 29(3): 629-636]
[34] 陈冰廉, 潘家友, 廖胜石, 等. 广西区域地面蒸发量的计算及其时空分布与演变特征分析. 气象研究与应用, 2008(1): 29-33 [Chen B-L, Pan J-Y, Liao S-S, et al. Calculation of regional surface evaporation in Guangxi and its temporal and spatial distribution and evolution characteristics. Journal of Meteorological Research and Application, 2008(1): 29-33]
[35] 胡庆芳, 张建云, 王银堂, 等. 城市化对降水影响的研究综述. 水科学进展, 2018, 29(1): 138-150 [Hu Q-F, Zhang J-Y, Wang Y-T, et al. Review on the impact of urbanization on precipitation. Advances in Water Science, 2016, 29(1): 138-150]
[36] 吴荣军, 邢晓勇.不同植被条件下实际蒸散的变化特征及其影响因子——以淮河流域为例. 应用生态学报, 2016, 27(6): 1727-1736 [Wu R-J, Xing X-Y. Variation characteristics of evapotranspiration and its influencing Factors under different vegetation conditions: A case study of Huaihe River Basin. Chinese Journal of Applied Ecology, 2016, 27(6): 1727-1736]