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白燕荣,孙智辉,刘志超,等.基于GIS的沟壑区苹果花期冻害评估技术[J].农业工程,2023,13(8):68-73. DOI: 10.19998/j.cnki.2095-1795.2023.08.012
引用本文: 白燕荣,孙智辉,刘志超,等.基于GIS的沟壑区苹果花期冻害评估技术[J].农业工程,2023,13(8):68-73. DOI: 10.19998/j.cnki.2095-1795.2023.08.012
BAI Yanrong,SUN Zhihui,LIU Zhichao,et al.GIS-based evaluation technology of freezing injury at flowering stage of apple in gully region[J].Agricultural Engineering,2023,13(8):68-73. DOI: 10.19998/j.cnki.2095-1795.2023.08.012
Citation: BAI Yanrong,SUN Zhihui,LIU Zhichao,et al.GIS-based evaluation technology of freezing injury at flowering stage of apple in gully region[J].Agricultural Engineering,2023,13(8):68-73. DOI: 10.19998/j.cnki.2095-1795.2023.08.012

基于GIS的沟壑区苹果花期冻害评估技术

GIS-based Evaluation Technology of Freezing Injury at Flowering Stage of Apple in Gully Region

  • 摘要: 利用2022年5月1日陕西省志丹县38个最低温度观测数据,结合志丹县高程数据、苹果种植数据,开展志丹县最低温度插值方法和温度对果树影响的分析研究。结果表明,志丹县分别有3.5%、2.1%和11.7%的苹果种植在陡坡、低洼处和面向北的不适宜栽植区域,应进行种植调整;5月1日最低温度表现为河谷最低,随着海拔升高温度也在升高的特征。随机森林加一元线性回归进行温度插值可将拟合误差降到1 °C左右,空间插值精度达到30 m,对河谷和山顶果园温度模拟结果较好,半山坡的温度模拟略差;温度空间分布与苹果种植数据相结合,发现2022年约有3.2%的苹果园受到低温的重度影响,能精准指出苹果受温度影响的地块位置、面积大小及影响程度,对冻害预警、影响评估和灾后补救有科学指导意义。

     

    Abstract: Based on 38 minimum temperature observation data in Zhidan County on May 1, 2022, combined with DEM and apple planting data of Zhidan County, interpolation method of minimum temperature in Zhidan County and influence of temperature on apples were analyzed and studied.Conclusions showed that, in Zhidan County, 3.5%, 2.1% and 11.7% of apples were planted in steep slope, low lying area and north facing unsuitable planting area, which should be adjusted.The minimum temperature on May 1 was the lowest in the river valley, and temperature increased with increase of altitude.Random forest combined with unitary linear regression could reduce fitting error to about 1 °C, and spatial interpolation accuracy reached 30 m.Simulation results of valley temperature were good, but simulation results of mid-slope temperature were poor.Combining spatial distribution of temperature with apple planting data, it was found that about 3.2% of apple orchards were severely affected by low temperature in 2022, which could accurately indicate location, area size and impact degree of apple plots affected by temperature, and has scientific guiding significance for freezing damage warning, impact assessment and post-disaster recovery.

     

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