乌克兰波里斯托纳地区受放射性污染土地恢复农业用途的一些方面

H. Chobotko, L. Raichuk, T. Kuchma, I. Shvydenko
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引用次数: 0

摘要

文章强调了乌克兰波兰受放射性污染土地恢复农业用途的自然、气候和社会经济追溯先决条件。论证了利用现代放射生态学研究方法和手段进行土地放射生态状况评价的必要性,为制定策略性管理文件提供了依据。2020-2023年期间在乌克兰国家农业科学院农业生态与环境管理研究所开展的研究采用了跨学科的科学方法,包括分析和综合、回顾性和比较分析、分析综合(研究科学和统计数据、立法和创始文件等)和数理统计方法。对社会经济状况的分析是根据沃林、日托米尔、基辅、里夫尼和切尔尼耶夫地区主要统计部门的官方统计数据进行的。领土放射性核素污染的估计水平是根据国家企业“乌克兰土壤保护研究所”的官方数据得出的。利用开源软件QGIS进行放射性生态景观制图。这项研究的目的是在绿色经济的背景下,为乌克兰波兰地区受放射性污染领土的恢复和可持续利用提供科学依据,以尽量减少国内粮食危机。已经证明,乌克兰波利西亚地区的土壤特性和植被覆盖造成了农业和森林产品受到放射性核素污染,这是该地区的一个特殊问题。向产品中释放放射性核素的最具放射性危险的生态系统是过度潮湿的草甸和牧场、森林地区以及有机土壤上的农业生态系统。全球气候变化和俄罗斯军事侵略的后果是所有先前存在的环境和社会经济挑战的重要修正因素。这就需要在进行监测研究和制订适当的战略规划文件之前,执行该区域的全面恢复措施。根据回顾性分析和计算的结果,可以确定,只要执行所建议的农业措施,就有可能在乌克兰波兰全境恢复有效的农业生产。已经证明,乌克兰波兰的全面复兴主要取决于农业生产的生态经济效率,这需要根据一系列生态、经济和社会因素明确区分农业活动,并改善农业生产情况。开发了乌克兰波兰受放射性污染土地的复杂放射性生态景观制图方法。这种方法包括一种综合了一系列专题地图数据的景观方法
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Some aspects of returning radioactively contaminated lands in Polissіa region of Ukraine to agricultural use
The article highlights the natural-climatic and socio-economic retrospective prerequisites for the return of radioactively contaminated lands in Polissіa, Ukraine to agricultural use. The necessity of using modern methods and means of radioecological research to assess the radioecological state of land for the development of strategic management documents is demonstrated. The research carried out at the Institute of Agroecology and Environmental Management of the National Academy of Agrarian Sciences of Ukraine during the period of 2020–2023 utilized interdisciplinary scientific methods including analysis and synthesis, retrospective and comparative analysis, analytical-synthetic (study of scientific and statistical data, legislative and founding documents, etc.), and mathematical-statistical methods. The analysis of the socio-economic situation was carried out based on official statistical data from the main statistical departments in Volyn, Zhytomyr, Kyiv, Rivne, and Chernihiv regions. The estimated levels of radionuclide contamination of the territory were obtained based on official data from the State Enterprise «The Institute of Soil Protection of Ukraine». Radioecological-landscape mapping was carried out using the open-source software QGIS. The aim of the research was to substantiate the scientific basis for the rehabilitation and sustainable use of radioactively contaminated territories in Ukrainian Polissia region in the context of green economy to minimize the domestic food crisis. It has been demonstrated that the soil characteristics and vegetation cover of Ukrainian Polissia region contribute to the contamination of agricultural and forest products with radionuclides, which is a specific problem for the region. The most radiologically hazardous ecosystems for the release of radionuclides into the products are over-moistened meadows and pastures, forested areas, as well as agroecosystems on organogenic soils. Global climate change and the consequences of Russian military aggression are significant modifying factors for all previously existing environmental and socio-economic challenges. This necessitates the implementation of comprehensive measures for the rehabilitation of the region, preceded by monitoring studies and the development of appropriate strategic planning documents. Based on the results of a retrospective analysis and calculations, it has been established that, provided recommended agricultural measures are implemented, the restoration of effective agricultural production is possible throughout the territory of Ukrainian Polissia. It has been demonstrated that the comprehensive rehabilitation of Ukrainian Polissia depends primarily on the eco-economic efficiency of agricultural production, which requires a clear differentiation of agricultural activities in accordance with a range of ecological, economic, and social factors, as well as the improvement of agricultural production scenarios. A method for complex radioecological-landscape mapping of radioactively contaminated lands of Ukrainian Polissia has been developed. This method involves a landscape approach that integrates data from a series of thematic maps
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