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汶川震区山洪灾害场次洪水最大携沙量预测模型

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汶川地震后,震区产生了大量松散堆积体,受强降水影响产生了破坏性更强的山洪灾害,加剧了灾害的危险性,增加了灾害防治的困难度,研究震区山洪灾害可为评估灾害的风险性及后续的管理提供依据.本研究以66处历史山洪灾害作为样本数据,进行可量算影响因子的相关性分析,揭示山洪灾害的携沙量影响机制,确定流域面积、主沟长度、相对高差、物源量四个影响因子作为主控因子,基于 SPSS进行非线性回归分析,建立了基于场次洪水最大携沙量及最大携沙距离的估算模型,并选取了汶川县和都江堰市的共 23 处山洪水沙灾害数据进行了模型的验证且与其他模型对比.结果表明,本研究建立的模型可靠性好,精度更高.研究成果有助于预测汶川震区潜在的山洪水沙灾害区域,为山洪水沙灾害的风险评估提供依据.
Prediction model for maximum sediment carrying capacity of flash floods in the Wenchuan earthquake area
After the Wenchuan earthquake,a substantial amount of loose deposits was generated in the earthquake area.The flash flood disaster became more destructive under the influence of heavy rainfall,increasing the risk of disaster and complicating disaster prevention efforts.Studying flash flood disasters in the earthquake area can provide a foundation for assessing disater risk and providing a basis for subsequent management.Using 66 historical flash flood disasters as sample data—34 in Wenchuan and 32 in Dujiangyan—the study aimed for a more accurate model by considering comprehensive influencing factors.Information on five influencing factors,including basin area,main channel length,relative elevation difference,ditch bed vertical gradient,and source quantity,was collected from the sample data.Correlation analysis identified four main control factors:basin area,main channel length,relative elevation difference,and source quantity.The factor of vertical gradient was removed due to its extremely low applicability to the curve of regression simulation.Using SPSS software,nonlinear regression analysis was conducted to establish an estimation model based on the maximum sediment carrying capacity and maximum sediment carrying distance of one flood.To validate the sediment carrying capacity prediction model,23 flash flood disaster data points from Wenchuan and Dujiangyan were selected and compared with other models.The R2 of the maximum sediment carrying capacity model for the flood is 0.762,indicating a good explanatory power of 76.2%for sediment carrying capacity.The relative error of the sediment carrying capacity model validation data based on floods ranges between-52%and 47%,with 73.9%of the data having a relative error between 10%and 40%,and 17.4%of the basin having a relative error of around 52%.This indicates that the model prediction in this study is more stable and reliable.The R2 of the maximum sediment carrying distance model for the flood is 0.88,indicating good explanatory power of 88%for the maximum sediment carrying distance.The relative error of the validation data for the maximum sediment carrying distance model based on floods ranges between-47%and 46%.The prediction value of this model is more stable,with an overall relatively small relative error,suggesting higher accuracy.The results show that the model in this study is reliable and precise.The research results will aid in predicting potential flash flood disaster areas in Wenchuan earthquake area and provide a basis for flash flood disaster assessment.

Wenchuan earthquake areaflash flood disastersediment carrying capacitymaximum sediment carrying distanceprediction model

许懿娜、段乐、刘超、聂锐华、李乃稳、刘秀菊、任妮、鲁恒

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中铁二院工程集团有限责任公司,成都 610083

四川大学 水利水电学院,成都 610065

成都市规划编制研究与应用技术中心,成都 610051

中国通信工业协会城乡建设数字化专业委员会,北京 100037

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汶川震区 山洪灾害 携沙量 最大携沙距离 预测模型

国家重点研发计划四川省科技计划四川省科技计划四川省科技计划

2019YFC15107002023YFS03802023YFS03772023NSFSC1989

2024

地理信息世界
中国地理信息产业协会 黑龙江测绘地理信息局

地理信息世界

CSTPCD
影响因子:0.826
ISSN:1672-1586
年,卷(期):2024.31(2)
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