|
|
|
| Dynamic variation of evapotranspiration of maize field in Hetao Irrigation District and path analysis of affecting factors |
| LIU Meihan, SHI Haibin*, LI Xianyue, YAN Jianwen, SUN Wei, DOU Xu |
| Water Conservancy and Civil Engineering College, Inner Mongolia Agricultural University, Hohhot, Inner Mongolia 010018, China |
|
|
|
|
Abstract The dynamic distribution characteristics of evapotranspiration(ET)of maize in the Hetao Irrigation District were clarified by using a large-scale weighing lysimeter, the correlations between ET and each influencing factor were explored with path analysis method. The results indicated that the cumulative ET of maize were 593.72 mm and 395.21 mm during the whole growth period in full and deficit irrigation treatments, respectively, and the corresponding average daily ET were 4.24 mm/d and 2.82 mm/d. Based on ET profiles in various growth stages, the ET was relatively minimal in sowing stage, just accounting for 3.7% and 5.8% of the whole growth period in full and deficit irrigation treatments. ET rose rapidly from jointing stage, and reached the maximum in tasseling stage with the total ET of 279.38 mm and 166.76 mm, accounting for 47.1% and 42.2% of the whole period in full and deficit irrigation treatments, respectively, and the average daily ET were 8.47 mm/d and 5.05 mm/d. For hourly ET profiles, a peak ET occurred at around noon but low ones were observed in the morning and evening. The path analysis showed that the decision coefficients of saturated water vapor pressure and average temperature were the largest, demonstrating two factors are the most important environmental driving factors for ET. Wind speed had the minimum effect on ET variation in two irrigation treatments, exhibiting an indirect effect on ET mainly. The main meteorological factors affecting ET of maize in Hetao Irrigated District were saturated vapor pressure and ambient temperature.
|
|
Received: 16 May 2018
|
|
|
|
| [1]史海滨,田军仓,刘庆华. 灌溉排水工程学[M]. 北京:中国水利水电出版社,2006.[2]刘静, 吴普特, 王玉宝, 等. 河套灌区粮食水足迹与虚拟水净输出时空演变[J]. 排灌机械工程学报, 2014,32(5):435-440. LIU Jing, WU Pute, WANG Yubao, et al. Temporal and spatial variation of grain production water footprint and net virtual water export in Hetao Irrigation District[J]. Journal of drainage and irrigation machinery engineering, 2014,32(5):435-440.(in Chinese)[3]TANG Bo, TONG Ling, KANG Shaozhong, et al. Impacts of climate variability on reference evapotranspiration over 58 years in the Haihe River Basin of north China[J]. Agricultural water management, 2011, 98(10): 1660-1670.[4]郭春明, 任景全, 张铁林, 等. 东北地区春玉米生长季农田蒸散量动态变化及其影响因子[J]. 中国农业气象, 2016,37(4):400-407. GUO Chunming, REN Jingquan, ZHANG Tielin, et al. Dynamic change of evapotranspiration and influenced factors in the spring maize field in northeast China[J]. Chinese journal of agrometeorology, 2016,37(4):400-407.(in Chinese)[5]张雪松, 闫艺兰, 胡正华. 不同时间尺度农田蒸散影响因子的通径分析[J]. 中国农业气象, 2017,38(4):201-210. ZHANG Xuesong, YAN Yilan, HU Zhenghua. Using path analysis to identify impacting factors of evapotranspiration at different time scales in farmland[J]. Chinese journal of agrometeorology, 2017,38(4):201-210.(in Chinese)[6]王子申,蔡焕杰,虞连玉,等. 基于SIMDualKc模型估算西北旱区冬小麦蒸散量及土壤蒸发量[J]. 农业工程学报, 2016,32(5):126-136. WANG Zishen, CAI Huanjie, YU Lianyu, et al. Estimation of evapotranspiration and soil evaporation of winter wheat in arid region of northwest China based on SIMDualKc model[J]. Transactions of the CSAE, 2016,32(5):126-136.(in Chinese)[7]李杰, 吴杨焕, 陈锐, 等. 基于大型称重式蒸渗仪研究北疆滴灌麦田蒸散量[J]. 作物学报, 2016,42(7):1058-1066. LI Jie, WU Yanghuan, CHEN Rui, et al. Measurement of evapotranspiration for drip-irrigated winter wheat using large weighing lysimeter in northern Xinjiang[J]. Acta agronomica sinica, 2016,42(7):1058-1066.(in Chinese)[8]刘翠红, 戴红武, 胡艳清, 等. 蒸渗仪的研究与应用现状[J]. 农机化研究, 2014(8):228-231,236. LIU Cuihong, DAI Hongwu, HU Yanqing, et al. Research and application of the status of lysimeter[J]. Journal of agricultural mechanization research, 2014(8):228-231,236.(in Chinese)[9]ZHANG Feiyun, LI Lanhai, AHMAD S, et al. Using path analysis to identify the influence of climatic factors on spring peak flow dominated by snowmelt in an alpine watershed[J]. Journal of mountain science, 2014,11(4):990-1000. |
|
|
|
