Comparative study on assessment methods for township disaster reduction capacity
[Objective]Disaster reduction capacity is the total force formed by the joint action of various capacities of disaster re-duction subjects in the whole process of disaster prevention,resistance and relief at some level.In order to accurately evaluate and objective ly reflect the size and deficiency of regional disaster reduction capacity,[Methods]the TOPSIS method,RSR method and constructed(T+R)method are used to quantitatively evaluate the disaster reduction capacity of 18 townships in the district based on the basic survey data of"The First National Comprehensive Risk Survey of Natural Disasters"in Yanqing Dis-trict of Beijing,the Ci value,RSRW value and(T+R)μ value of the disaster reduction capacity of each township are obtained,based on the evaluation result and calculation process of the case data,the evaluation value size,ranking and overall trend are compared and analyzed.[Results]The result show that:Among the 18 townships,4 townships have a ranking gap of more than 3 grades between TOPSIS and RSR,2 townships have a ranking gap of more than 3 grades between TOPSIS and(T+R),and 2 townships have a ranking gap of more than 3 grades between RSR and(T+R).At the same time,the mean value of the evalua-tion result of(T+R)method is 0.406,the extreme difference is 0.375,and the standard deviation is 0.119,which are all in the middle of TOPSIS and RSR method.All three models are suitable for quantitative assessment of regional disaster reduction capac-ity and can be selected according to the purpose and requirements of regional assessment.In general,RSR method has the largest information loss,the best classification of advantages and disadvantages,and the least disturbance by outliers;TOPSIS method has the least loss of information,the worst classification of advantages and disadvantages,and the most interference by outliers;The constructed(T+R)method not only overcomes the information loss of source data of RSR method,but also optimizes the classification of TOPSIS method,and effectively reduces the outlier interference.[Conclusion]The conclusion show that:It is feasible to apply RSR method to quantitative assessment of disaster reduction capacity,because(T+R)method has obvious ad-vantages in information loss,classification of advantages and disadvantages,and resistance to outlier interference,etc.,it is the best choice among the three,and can be applied to the assessment of other scales such as province,city,county,township,household and even watershed.The in-depth study of(T+R)method can provide ideas and references for quantitative assessment of disaster reduction capacity.
assessment of township disaster reduction capacityTOPSIS modelRSR model(T+R)modelinformation lossclassification of advantages and disadvantagesoutlier interferenceinfluencing factors
国家科技期刊平台
NSTL
万方数据
