Compound Earth and Sand Disaster Adaptation – Forward-Looking Vision
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          In recent years, due to earthquakes and extreme rainfalls, the frequency and scale of large-scale earth and sand disasters have increased year by year. Under the influence of Climate Change, the problem of earth and sand control has been transformed from a local single-spot disaster, for example a single-spot collapse or debris flow, into a complex and wide area earth-soil problem in the catchment region. The NCKU Disaster Prevention Research Center, a unit of the Soil and Water Conservation Bureau, develops the Compound Earth and Sand Disaster Adaptation Plan for Taiwan. In the future, these entities will check relevant research and policy implementation results and objectives at home and abroad, convene expert consultation meetings, handle earth-sand forums, and publish special literature on earth-sand control. The NCKU Disaster Prevention Research Center uses Harmonious Forest and Smart Disaster Prevention as two forward-looking visions to achieve goals of balance, harmony, intelligence, accuracy and autonomy.

          The 8+1 Grand Strategies include; slope management and collaboration; national geosphere information construction and integration; full-scale geosphere monitoring via the Internet of Things; integration, research and development of the geosphere alert technology; construction and development of geosphere decision-making smart cloud; development of innovative conservation technology; management of slope disaster prevention and life-sustaining channels; sustainable use and management of the land; and promotion of grassroots disaster prevention forces. These principles will guide the NCKU Disaster Prevention Research Center and proposes that consumption and growth of soil sand can be balanced; a stable watershed system can be constructed; a harmonious slope environment can be constructed to build the disaster prevention ecology; innovative monitoring technologies can be used to construct a smart information platform; integrate predictive models can be constructed to build an accurate vigilance system; and disaster prevention education can be popularized to construct sustainable disaster prevention communities and strengthen the resilience of the land.