Integrating development inhomogeneity into geological disasters risk assessment framework in mountainous areas: a case study in Lushan–Baoxing counties, Southwestern China

Abstract

The impact of geohazards on mountainous settlement have been focused in recent years. Despite the booming development in the modeling of hazards and vulnerability, the risk assessment in mountainous area still have di culty in absence of re ned data. Moreover, development imbalances widely exist in mountainous areas, which ignored in previous researches. In this study, the development imbalances were quanti ed and integrated into risk assessment framework, which be applied in Lushan and Baoxing mountainous areas. The re ned distribution of soc-economic data is obtained by using spatialization from the census, which eases the situation of the lack of data. Then, a frequency ratio-random forest (FR-RF) model is conducted to evaluate the geohazards hazard. Meanwhile, vulnerability was evaluated using triangular fuzzy number-based analytic hierarchy process (TFN-AHP). In vulnerability assessment, the inhomogeneity index is integrated to evaluate the imbalance between indicators, the use of which can reward a more realistic vulnerability result. Finally, risk map was produced by multiplying hazard and vulnerability. The risk assessment framework is successfully applied in Lushan and Baoxing counties of Southwestern China, which is a typical mountainous area with frequent earthquakes, uneven development, and a lack of high-precision data. The total area of high and extremely high hazard (868.82 km 2 ), vulnerability (258.66 km 2 ), and risk (113.49 km 2 ) are estimated and mapped.

Flood Risk Assessment Based on the Historical Disaster Statistics and the Index System Method: A Case Study of Hubei Province, China

“…According to the most widely accepted concept of risk proposed by the United Nations Department of Humanitarian Affairs (UNDHA) in 1992. In this paper, the ood risk assessment model is constructed using the formula which can be shown as risk (R) = hazard (H) *vulnerability (V) (He et al 2023; UNDHA 1992). However, the hazard means the possibility and intensity of disasters, which focuses on the disasters themselves (Ma and Mei 2021).…”