| Spatial and temporal distribution of water requirement of summer corn in Xingtai and the meteorological impact factors |
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| DOI：10.7606/j.issn.1000-7601.2019.05.35 |
| Key Words: summer corn water requirement spatial and temporal distribution meteorological impact factors FAO-PM formula Xingtai |
| Author Name | Affiliation | | JIA Qiu-lan | Xingtai Meteorological Bureau, Xingtai, Hebei 054000, China | | WANG Xiao-juan | Xingtai Meteorological Bureau, Xingtai, Hebei 054000, China | | ZHAO Yu-bing | Xingtai Meteorological Bureau, Xingtai, Hebei 054000, China | | XU Wen-bin | Baixiang Meteorological Bureau, Xingtai, Hebei 055450, China | | Gao Qi | Shijiazhuang Meteorological Bureau, Shijiazhuang, Hebei 050081, China | | Liu Sheng-yao | Agricultural Information and Economic Research Institute, Hebei Academy of Agriculture and Forestry Sciences, Hebei， Shijiazhuang 050051, China |
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| Abstract: |
| Based on the meteorological data collected at 17 meteorological stations from 1972 to 2014 in Xingtai, the water requirements of summer corn during the whole growing season and at different growth stages were calculated based on the FAO-PM model. In addition, we used the methods of linear trend, correlation coefficient, Morlet wave and inverse distance weighting to analysis spatio-temporal changes of summer corn in Xingtai in the last 43 years and the influence factors. The results showed that the water requirement trends at various stages generally declined obviously and the rate of annual average decline trend was at 1.01 mm during the whole growing season. The water requirements of summer corn had a 23~32 years cycle, 12~15 years cycle, and 3~6 years cycle, of which the 23~32 years cycle was the most stable. In terms of geographical space, the distribution of water requirement from big to small was in the eastern, western and central regions. The relationship between the water demand and the meteorological factors was closely related, among them that the sunshine was positively correlated and the vapor pressure was negatively correlated significantly with water demand. |
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