论文代写:PM2.5浓度

论文代写:PM2.5浓度

PM2.5浓度的正系数(lpm25n)表明,前一时期的浓度决定了当前时间的浓度。0.9341的系数表明,在所有其他物质保持不变的情况下,在大气中保留了大约93.41%的透水期浓度。西北风导致浓度下降4.09,而东南风增加了5.06的浓度,而其他的都保持不变。变风的影响也与东南风的影响相似。当没有其他条件变化时,单位增加数小时的雪和雨导致浓度分别下降0.35和0.69。

论文代写:PM2.5浓度
然而,风速对浓度的影响却很小。对于风速的单位增加,当所有其他变量保持稳定时,浓度预计只会增加0.0029个单位。温度和压力的增加都会对浓度产生负面影响。如果一个单位的温度升高,浓度预计会降低0.49,而在一个单位增加的压力下,浓度的预期下降是0.12,ceteris paribus。另一方面,露点有一个正的系数,表明一个单位在露点上的增加会导致预期浓度增加0.93。

论文代写:PM2.5浓度

The positive coefficient of lagged PM2.5 concentration (lpm25n) shows that the concentration in the previous period determined the concentration in the current period. The coefficient of 0.9341 implies that about 93.41% of pervious period’s concentration is retained in the atmosphere, when all other things are held constant. North western winds contribute towards decrease in concentration by 4.09 whereas south eastern winds increase the concentration by 5.06, when all else is held constant. The impact of variable wind is also similar to the impact of south easterly winds. A unit increase in number of hours of snow and rain lead to decrease in the concentration by 0.35 and 0.69 respectively when no other conditions change.

论文代写:PM2.5浓度
The effect on concentration of wind speed however turns out to be very small. For a unit increase in speed of the wind, the concentration is expected to increase only by 0.0029 units when all the other variables are held stable. Increase in temperature and pressure both tend to have negative impact on concentration. For a unit increase in temperature, the concentration is expected to decrease by 0.49 while for a unit increase in pressure the expected decline of concentration is 0.12, ceteris paribus. The dew point on the other hand has a positive coefficient implying that a unit increase in dew point will cause an expected increase in concentration of 0.93.