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• W2373313201 abstract "Snow plays a vital role in cold region,especially the seasonal snow. In Xinjiang,China,there were several disaster for the melting of seasonal snow. The snowmelt flood can destroy the village,the farm land and kill the livestock,so that would bring loss of poverty and life safety. Recently,many researchers have done some research on snow and snow property,and the result turned to be good. But the research on the melting snow is not enough. Meanwhile,the snow runoff has been researched for a long time,and the established model can simulate the snow runoff at certain accuracy,so it is important to know the relatively correct time of snow melt water out flow. Snow melt water outflow in snowmelt period is very important for the simulation of snowmelt flood in Spring,because usually in this period,the time of snow runoff is hard to grasp. So if the runoff-yielding time is clear,the model can be anew the parameter for more accuracy simulation. In the paper,the data of snow particle size,snow depth and the daily air temperature are needed,and the snow melt water outflow condition will be acquired by means of anglicizing these data. The data of snow particle size,snow depth and the daily air temperature can be captured by means of the measurements equipments,such as EM50,Monitor of agricultural environment and some other normal surveillance in seasonal snowmelt period. After that,these data are processed by Excel,DPS,Arcgis and SPSS,and then regression analysis and neural network model are be used to analysis and simulation. The result shows that accumulated temperature can be used as the reference indicators for snow melt outflow,as well as prediction,and the accumulated temperature can be look upon as the snowmelt water outflow condition,because the accumulated temperature will indicate the runoff-yielding time. Snow particle size and snow depth exist significant correlation with snowmelt water outflow of accumulated temperature conditions,and the correlation coefficient can reach at less 0.88,that is much higher than 0.652 4(boundary value of 21 data volume). Both the principal components regression and the stepwise regression can simulate the snowmelt outflow condition,and the certainty coefficient(R2)can reach at least 0.96,and the stepwise regression can simulate snowmelt water outflow of accumulated temperature conditions much better,and the R2 is 0.99. The root mean square error is just 124.5 ℃·min,so the error on time is just about 15 min,and the simulation result shows much better.The paper discus the regulation of movement of snow melt water,and it is important to the research on numerical simulation of the movement of snow melt water." @default.
• W2373313201 created "2016-06-24" @default.
• W2373313201 creator A5050115637 @default.
• W2373313201 date "2015-01-01" @default.
• W2373313201 modified "2023-09-25" @default.
• W2373313201 title "Simulation and analysis of snow melt water outflow condition in typical snowmelt period" @default.
• W2373313201 hasPublicationYear "2015" @default.
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