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The rationality of regional land planning needs to be evaluated through intelligent technology and continuously optimized. At present, most land planning is temporarily adjusted according to actual needs, so it does not have real-time dynamics. In order to improve the rationality of regional land planning, based on BP neural network, this study combined the spatial mining technology to construct a regional land planning model, and used BP neural network and SVM technology to establish a relationship model between the impact factor value and distance scale factor. Moreover, based on the gray system theory, this study uses the gray correlation model to measure the coupling degree between industrial structure and land use, and analyzes the correlation between various factors. In addition, the artificial neural network after learning and testing can be used for dynamic simulation calculations. The research results show that this algorithm has some practical effects. [ABSTRACT FROM AUTHOR]

A fundamentally new integrated approach to the state activity on the adaptation to changing environmental conditions, namely, the territorial planning of land use is proposed by the example of the Arctic zone of the Russian Federation being the most vulnerable region to climate change. Adaptation measures for natural ecosystems are scientifically grounded for the Arctic region: the prevention of permafrost surface cover disturbances, the minimization of other types of anthropogenic impact and pollution, the maintenance and increase in surface albedo in winter. The examples of development of a dual indicator system are given: for monitoring the implementation of measures and adaptation efficiency (the quantitative markers of climate-caused damage). The analysis of all indicators in the adaptation efficiency monitoring system, as well as the projections of indicators for 5–10 years ahead help to make reasoned management decisions to correct the applied adaptation measures. The practical application of the results includes the use of the developed approaches in the sectoral and regional plans and at the second stage of the National Plan for Adaptation to Climate Change. [ABSTRACT FROM AUTHOR]