With a view to conducting a comprehensive assessment of pollution of the water bodies within the Lake Baikal drainage basin using dimensionless indicators of the water chemical composition, the problems of identifying and testing the indicators were dealt with, which are necessary for determining the sources and levels of pollution and assessing the contributions of the tributaries to lake pollution and the self-cleaning ability of the waters. The methodology of geoecological monitoring as suggested by these authors is based on identifying correlations between polluters and environmental sites by examining technogenic material of from the sites as mixtures, and material from the sources as their components. Identification of the spatio-temporal structure of pollution involves analyzing the landscape organization of the lake drainage basin and the distribution patterns of pollutants. Substantiation of the observation and monitoring network, extrapolation of monitoring results and display of real-time data used landscape mapping methods. An analysis was made of the landscape and geochemical differentiation of the Lake Baikal drainage basin, and the unified indicators of water composition relating water pollution to natural conditions were ranked. The study revealed areas of geosystems with different rates of organic matter decomposition, i. e. the water areas of the lake with a different self-cleaning ability of the waters, and the areas of the drainage basin, the soils of which are responsible for the formation of waters of different types. The resulting contours were generalized in accordance with the scale of the map for the spatial differentiation of biogeochemical parameters of the landscape organization of the drainage basin. The highest decomposition rate of organic matter is characteristic for taiga dark-coniferous geosystems of optimal development, submontane and intermontane depressions and valleys of Khamar-Daban Range, and the lowest rate is typical for goletz and subgoletz geosystems as well as for taiga forests along the western coast of Lake Baikal.

中文翻译：

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识别贝加尔湖流域内污染物分布格局的景观生态学方法

为利用水化学成分的无量纲指标对贝加尔湖流域内水体的污染情况进行综合评价，解决了确定污染源和水平所必需的指标识别和检测问题。污染和评估支流对湖泊污染的贡献和水域的自净能力。这些作者建议的地质生态监测方法是基于通过检查来自场地的技术材料作为混合物和来自来源的材料作为其组成部分来确定污染者和环境场地之间的相关性。污染时空结构的识别涉及分析湖泊流域的景观组织和污染物的分布格局。观测和监测网络的证实、监测结果的外推和使用景观绘图方法的实时数据的显示。对贝加尔湖流域地貌和地球化学分异进行了分析，对水污染与自然条件相关的水体成分统一指标进行了排序。研究揭示了具有不同有机质分解速率的地质系统区域，即具有不同自洁能力的湖泊水域，以及流域盆地区域，其土壤负责形成不同类型的水域。根据流域景观组织的生物地球化学参数的空间分异地图的比例尺对所得等值线进行概括。有机质分解率最高的特征是最佳发育的针叶林暗针叶地质系统、山下和山间凹陷以及 Khamar-Daban 山脉的山谷，最低速率是 goletz 和 subgoletz 地质系统以及沿线的针叶林的典型特征。贝加尔湖西岸。