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Causality identification of agricultural environmental damages |
Received:March 18, 2022 |
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KeyWord:agricultural environmental damage;causality identification;supporting technology;judgment criterion |
Author Name | Affiliation | WANG Wei | Agro-Environmental Protection Institute, Ministry of Agriculture and Rural Affairs, Forensic Center of Agro-Ecological Environment and Agro-Product Quality Safety, Tianjin 300191, China | ZHAO Jinyu | Agro-Environmental Protection Institute, Ministry of Agriculture and Rural Affairs, Forensic Center of Agro-Ecological Environment and Agro-Product Quality Safety, Tianjin 300191, China | QIANG Liwen | Agro-Environmental Protection Institute, Ministry of Agriculture and Rural Affairs, Forensic Center of Agro-Ecological Environment and Agro-Product Quality Safety, Tianjin 300191, China | SUN Xichao | Agro-Environmental Protection Institute, Ministry of Agriculture and Rural Affairs, Forensic Center of Agro-Ecological Environment and Agro-Product Quality Safety, Tianjin 300191, China |
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Abstract: |
Causality identification is important to realize the implementation of ecological and environmental damage compensation systems and to detect the liability subject in agricultural soil pollution. By analyzing the applicability of supporting technology, requirements of appraisal practice for it, and particularity of agricultural environmental damage, the present study dissected the difficulties and solutions to causality identification and puts forth suggestions and prospects. Damage receptors are intertwined with polluting and other factors, such as pests and diseases, climatic conditions, and field management. Causality identification is subject to not only different factors but also the available identification materials. Technical methods, such as pollution tracers, can play a role in case identification only when they are consistent with the identification materials available in a specific case and other non-pollution factors and similar pollution sources are excluded. Establishing atlases and databases following the judgment criterion of causality and adopting the combination of technology with investigation are effective methods to solve the problems of"difficulty"and"high cost"of causality identification. |
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