A new method for assessment of regional drought risk: information diffusion and interval mapping adjustment based on k-means cluster points

Abstract Aiming at the defect that there is no ability for conventional weighted comprehensive assessment method (WCA) to grade drought risk directly, a based on k-means cluster points realize classification of proposed in this paper. On basis calculating value points, inverse distance weight interpolation (IDWI) and multidimensional normal diffusion (MND) were used quantify value, discrimination between was improved by interval mapping adjustment (IMA). In paper, Anhui Province from 2000 2020 calculated verify above method. The results show that: (1) quantification information redistribution point can not only automatic classification, but also re-quantify object same grade, which makes up defects WCA cannot carry out division clustering assign object. (2) result MND closer actual situation more reasonable than IDWI. (3) dispersion effect obtained be IMA risk. It improves degree so grades displayed intuitively. overcome new follow-up utilization space widened, thinking broadened.