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萧山白对虾气象灾害监测预警技术的研究
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Abstract:
大棚气温调控效果与地域、季节、天气类型、作物种类/养殖品类有关,现阶段研究主要集中在以下几个方面:研究区域多为华中、华东、西北、华北和东北地区;季节多为冬夏季;作物多为蔬菜、水果、林木;资料为逐日或逐时棚内外气温数据。由于技术进步和自动气象站增多,能够提供分钟级气象观测,为大棚气温调控效果精准研究提供了可能。大棚内高、低温灾害分布与地域、季节、天气类型、作物种类/养殖品类有关,现阶段大棚种植/养殖高、低温灾害研究区域主要在华北、东北、华东、华南、华中和西北地区;研究对象多为植物,水产类研究较少;资料为逐日或逐时气温数据。但目前大棚内气象要素预报由当地的区域站预报数据提供,从前人的研究可以发现,大棚内气象要素与当地区域站的预报数据存在很大差异,所以直接用区域站预报作为大棚内气象预报不能够准确为农户提供田间操作指导。外界环境对大棚内气象要素影响很大,所以找到外界和棚内气象要素的关系对于建立大棚内气象要素预报十分重要。本文利用2019年5月~2020年11月萧山地面常规气象观测站逐日日照时数资料、萧山区域站10 min空气温度和大棚内小气候观测站0.12 m处10 min水下温度,分析春、夏、秋季不同天气类型下不同模型对大棚白对虾高、低温灾害监测及预警。
The temperature control effect of greenhouse is related to region, season, weather type, crop type/breeding category. At present, the research mainly focuses on the following aspects: central China, East China, Northwest China, North China and Northeast China; most seasons are winter and summer; crops are vegetables, fruits, trees; and the data is the temperature data day by day or time by time. Due to technological progress and the increase of automatic meteorological stations, it can provide minute meteorological observation, which provides the possibility for the accurate study of the effect of temperature control in greenhouses. The distribution of high and low temperature dis-asters in greenhouses is related to region, season, weather type, crop type/breeding category. At present, the greenhouse planting/breeding disaster research area is mainly in North China, Northeast China, East China, South China, Central China and Northwest China; mostly plants and few aquatic studies; the data are daily or time by time temperature data. However, at present, the forecast of meteorological elements in the greenhouses is provided by the forecast data of local regional stations. Previous studies can find that the meteorological elements in the greenhouses are very different from the forecast data of local regional stations. Therefore, the direct use of regional station forecast as the meteorological forecast in the greenhouses can not accurately provide field operation guidance for farmers. The external environment has a great impact on the meteorological elements in the greenhouse, so it is very important to find the relationship between the outside world and the meteorological elements in the greenhouse to establish the forecast of the meteorological elements in the greenhouse. This paper uses the daily sunshine time data of Xiaoshan ground conventional meteorological observation station from May 2019 to November 2020, 10 min air temperature of 10 min in
[1] | 李美荣, 刘映宁, 赵军, 李艳莉, 李鹏利. 陕西省关中地区大棚蔬菜低温冻害预报服务方法[J]. 干旱地区农业研究, 2007, 25(5): 204-207, 231. |
[2] | 杨文刚, 胡幼林, 刘敏, 黄永学, 王涵. 大棚冬莴苣低温冻害指标及预测[J]. 湖北农业科学, 2010, 49(11): 2833-2835. |
[3] | 刘可群, 杨文刚, 刘志雄, 刘敏. 冬季大棚蔬菜低温冰雪灾害评估与预警研究[J]. 湖北农业科学, 2011, 50(22): 4617-4621. |
[4] | 许永妙, 李慧娟, 黄海涛, 王贤波, 周铁锋, 张伟. 杭州茶园春季霜冻害的影响因素分析与对策研究[J]. 中国茶叶, 2014, 36(7): 24-25. |
[5] | 侯伟, 杨福孙, 李尚真, 周兆得, 陈汇林, 吴翠玲. 低温寡照对海南棚栽西瓜生长的影响及其灾害等级指标[J]. 江苏农业科学, 2015, 43(8): 161-166. |
[6] | 张德林, 李军, 蒋其根, 张青, 等. 大棚草莓农业气象灾害预警指标研究[J]. 上海农业学报, 2015, 31(5): 56-60. |
[7] | 贺红梅, 高蓉, 包振贤. 白银市大棚蔬菜低温冻害预报指标研究[J]. 陕西农业科学, 2018, 64(6): 58-61. |
[8] | 刘可群, 黎明峰, 杨文刚. 大棚小气候特征及其与大气候的关系[J]. 气象, 2008, 34(7): 101-107. |
[9] | 符国槐, 张波, 杨再强, 费玉娟, 黄海静, 孙军波. 塑料大棚小气候特征及预报模型的研究[J]. 中国农学通报, 2011, 27(13): 242-248. |
[10] | 金志凤, 符国槐, 黄海静, 潘永地, 杨再强, 李仁忠. 基于BP神经网络的杨梅大棚内气温预测模型研究[J]. 中国农业气象, 2011, 32(3): 362-367. |