IAHR World Congress, 2019

Impact of Automatic Hydrological Information Systems in Developing Countries

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1Maestría en Ingeniería de los Recursos Hídricos, Universidad Michoacana de San Nicolás de Hidalgo, Mexico
2Maestría en Ciencias en Ingeniería Ambiental, Universidad Michoacana de San Nicolás de Hidalgo, Mexico

Developing countries have common characteristics. These include: food supply deficit of large sectors of the population, low per capita income, poor state of health of large sectors of the population, lack of educational opportunities, high unemployment and low level of generalized living, accompanied by an often extremely unequal distribution of available goods and services. The concept is applied to nations characterized by a delay in terms of human development of an important segment of their population, a high level of social inequality, institutional weakness, political instability and low rates of technological innovation. The development of a country is mainly subject to economic and social issues. Technology, automation and the acquisition of information are essential issues in economic development and the human and social capital of a country. In today`s age, information is power that is why society has opted for data acquisition tools, with important characteristics: systematized and automatic technologies. Initially possessing information is the impulse for change, which manages to generate an impact on the development of countries. Objectively, the monitoring of the acquisition of data in the field of hydrology is usually carried out for the common, social and economic good among others, in such a way that the implementation of automatic systems of early warning that improve the collection of information to mitigate needs from a social point of view and for the prevention of risks caused by climatic events that generate losses in the development of the countries. For these reasons, everything points to the use of systematized technologies for the acquisition of climate data in real time achievable through the use of automatic hydrological information systems.

Daniel Rodriguez Licea
Daniel Rodriguez Licea








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