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Risk Assessment of Drought, Based on IDM-VFS in the Nanpan River Basin, Yunnan Province, China

机译:基于IDM-VFS的云南省南潘河流域干旱风险评估

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摘要

A new model for risk assessment of agricultural drought based on information diffusion method and variable fuzzy sets (IDM-VFS) was proposed. In addition, an integrated index system of agricultural drought risk was established. In the proposed model, IDM was employed to calculate the agricultural drought risk level classification standards, and then the VFS was adopted to assess the dangerousness, sensitivity, vulnerability, and comprehensive risk of agricultural droughts. In the present study, Nanpan River Basin was employed to assess the agricultural drought risk with the proposed model. The results showed that KaiYuan, ShiZong, QiuBei, and ZhanYi have higher dangerousness, due to water shortage. GuangNan have higher sensitivity and vulnerability because of lower drought resistance level and higher crop planting proportion. The comprehensive agricultural drought risk shows apparent regional characteristics: the central, western and northwestern counties have lower risk than the eastern counties. Moreover, most areas of the Nanpan River Basin are of moderate agricultural drought risk grade. The results are consistent with the actual situation of Nanpan River Basin and verify the model’s effectiveness. The study can provide a scientific reference in drought risk management for local governmental agencies.
机译:提出了一种基于信息扩散法和变量模糊集的农业干旱风险评估模型。此外,建立了农业干旱风险综合指标体系。在提出的模型中,使用IDM计算农业干旱风险等级分类标准,然后使用VFS评估农业干旱的危险性,敏感性,脆弱性和综合风险。在本研究中,采用该模型对南盘河流域进行了农业干旱风险评估。结果表明,由于缺水,开元,世宗,丘北和战义的危险性更高。由于抗旱性较低和农作物种植比例较高,广南地区具有较高的敏感性和脆弱性。农业综合干旱风险具有明显的区域特征:中部,西部和西北部县的风险低于东部县。此外,南盘河流域的大多数地区处于中等农业干旱风险等级。结果与南盘河流域的实际情况相吻合,验证了该模型的有效性。该研究可为地方政府机构在干旱风险管理中提供科学参考。

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