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In recent years, the accelerated development of industrialization, frequent agricultural activities, and delays in pollution control projects have greatly reduced groundwater sources in many areas, resulting in a wide variety of pollutants and complexity. Therefore, how to ensure the safety of groundwater source is the key to maintain the current social and economic development and people's health. The role of the Markov chain model in engineering applications in various basic fields shows strong vitality. Markov chain forecasting methods are not only widely used in hydrology, financial investment, life sciences, crop forecasting, human resource management, education management, and other fields but can also be used in groundwater pollution detection. As a large state-owned enterprise in China, the reform of the power system is being strengthened, and the business environment of the power grid company is undergoing tremendous changes. In order to overcome the current human resource management problems, the grid company is doing its best to improve its core competitiveness and implement human resource management. This article basically contains the basic aspects and the whole process of human resource management of power grid companies, which can help power grid companies improve their human resource management deficiencies and can provide a certain reference for the practice of human resource management of Chinese power grid companies and help their operations, solve the human resource management problems of the power grid company, improve the management efficiency and core competitiveness of the power grid company, and take the first step in the human resource management business with standard value. KeywordsMarkov chain . Groundwater pollution detection . Power grid enterprise . Human resource management This article is part of the Topical Collection on Smart agriculture and geo-informatics Responsible editor: Hoshang Kolivand

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