非生物系统动态混沌的熵模型

O. V. Bazarsky, Zh.Yu. Kochetovа, V. V. Kul‘nev, D. Panteleev
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引用次数: 0

摘要

动态混沌系统通常用非线性循环Verhulst关系来描述。在本研究中,它的应用扩展到跟踪生态系统在其发展的不同阶段的退化。引入了一个新的概念:非生物生态系统的地球化学熵,它在[0,4]区间内变化,决定了其在[0,1]区间内的稳定性水平。该模型通过评估利佩茨克(俄罗斯)的土壤污染得到验证。尽管部分地区土壤污染程度较高,但总体生态状况为“正常”,稳定性较高(0.98)。对利佩茨克的生态状况如何随着人为负荷的变化而发展进行了预测。如果它保持不变,生态系统的可持续性将几乎相同。在土壤污染较重的情况下,根据系统的熵,稳定性可能以不同的速率丧失。该模型可用于评价人类活动负荷高、污染程度差异大的大区域的地质生态现状,以及预测城市群的居住舒适度和生态系统管理。
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Entropy Model of Dynamic Chaos of an Abiotic System
Dynamic chaos systems are commonly described by the nonlinear cyclic Verhulst relation. In this study, its use was extended to track the degradation of ecological systems at different stages of their development. A new concept was introduced: the geochemical entropy of abiotic ecological systems, which varies in the interval [0, 4] and determines the level of their stability in the interval [0, 1]. The model was verified by assessing soil pollution in Lipetsk (Russia). Despite the high level of soil pollution in certain areas of the city, the overall ecological situation turned out to be “normal” with a high level of stability (0.98). Forecasts were made of how the ecological situation in Lipetsk might develop with a change in the anthropogenic load. If it remains unchanged, the sustainability of the ecological system will be virtually the same. With heavier soil pollution, the stability may be lost at different rates, depending on the entropy of the system. The proposed model is helpful for assessing the current geo-ecological state of large territories with high anthropogenic load and pollution levels varying considerably between different areas of these territories, as well as for predicting the level of living comfort in urban agglomerations and managing ecological systems.
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来源期刊
CiteScore
0.70
自引率
0.00%
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0
审稿时长
17 weeks
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