| 叶表观症状识别在大气污染农业环境损害鉴定中的应用 |
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| 引用本文： | 赵晋宇,王伟,赵倩.叶表观症状识别在大气污染农业环境损害鉴定中的应用[J].农业环境科学学报,2023,42(12):2702-2710. |
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| 作者姓名： | 赵晋宇 王伟 赵倩 |
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| 作者单位： | 农业农村部环境保护科研监测所, 天津 300191 |
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| 基金项目： | 国家重点研发计划项目（2020YFC0832804） |
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| 摘 要： | 叶表观症状是农作物对大气污染物最直接的环境响应特征，可用作大气中污染物的植物指示和损害程度确定。本文梳理了5种典型大气污染物对农作物叶表观伤害症状的特征和差异，提出通过农作物叶表观症状识别致害污染物的想法和思路、具体的鉴别鉴定技术以及利用叶表观症状识别技术进行识别的工作程序，并在广西田东县某村芒果受损典型鉴定案例中进行了实践应用。研究表明，叶表观症状识别技术具有快速、有效辨识特征污染物，缩小线索摸排范围，锁定污染源等优点，是一种直观、便捷、易操作、成本低、实用性强的污染损害识别技术，可为非专业人士、行政执法人员快速发现、锁定致害源提供技术支撑。
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| 关 键 词： | 叶表观症状 农作物 大气污染物 症状识别 损害鉴定 |
| 收稿时间： | 2023/7/7 0:00:00 |
Research on recognition technology of leaf apparent symptoms to identification of agricultural environmental damage by air pollution |
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| ZHAO Jinyu,WANG Wei,ZHAO Qian.Research on recognition technology of leaf apparent symptoms to identification of agricultural environmental damage by air pollution[J].Journal of Agro-Environment Science( J. Agro-Environ. Sci.),2023,42(12):2702-2710. |
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| Authors: | ZHAO Jinyu WANG Wei ZHAO Qian |
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| Institution: | Agro-Environmental Protection Institute, Ministry of Agriculture and Rural Affairs, Tianjin 300191, China |
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| Abstract: | Leaves are in direct contact with the environment, making them more sensitive to air pollutants. Leaf apparent symptoms are typical symptoms caused by air pollutants that can be used as an indicator of air pollutants and help determine the extent of damage. This paper combs the differences in apparent symptoms, which is the expression of five typical air pollutants damage to crop leaves, and distinguishes the characteristics of leaf symptoms. In this paper, we reviewed the characteristics and differences of the apparent injury symptoms of crops damaged by five typical air pollutants, proposed ideas for identifying air pollutants through leaf apparent symptoms and specific identification techniques, and was applied to typical cases of mango damage identification in Tiandong County, Guangxi Province. Studies have shown that recognition technology for leaf apparent symptoms can identify pollutants quickly and effectively, narrowing the range of investigation and locking pollution sources. It is an intuitive, convenient, easy-to-operate, low-cost, and practical pollution damage identification technology that can provide technical support for non-professionals and administrative law enforcement personnel to quickly find and lock the source of harm. |
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| Keywords: | leaf apparent symptoms crop air pollutants symptom recognition damage identification |
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