用python计算AQI

在Python中，计算AQI的步骤与MATLAB类似，也是先计算每种污染物的IAQI值，然后从中选取最大值作为AQI。

以下是一个示例代码，用于计算PM2.5、PM10、SO2、NO2、CO和O3六种污染物的AQI值：

# 计算污染物的IAQI
def calcIAQI(concentration, pollutant):
    if pollutant == 'PM2.5':
        bp = [0, 35, 75, 115, 150, 250, 350, 500]
        ibp = [0, 50, 100, 150, 200, 300, 400, 500]
    elif pollutant == 'PM10':
        bp = [0, 50, 150, 250, 350, 420, 500, 600]
        ibp = [0, 50, 100, 150, 200, 300, 400, 500]
    elif pollutant == 'SO2':
        bp = [0, 50, 150, 475, 800, 1600, 2100, 2620]
        ibp = [0, 50, 150, 475, 800, 1600, 2100, 2620]
    elif pollutant == 'NO2':
        bp = [0, 40, 80, 180, 280, 565, 750, 940]
        ibp = [0, 50, 100, 200, 700, 1200, 2340, 3090]
    elif pollutant == 'CO':
        bp = [0, 2, 4, 14, 24, 36, 48, 60]
        ibp = [0, 50, 100, 150, 200, 300, 400, 500]
    elif pollutant == 'O3':
        bp = [0, 160, 200, 300, 400, 800, 1000, 1200]
        ibp = [0, 50, 100, 160, 215, 265, 800, 1000]

    for i in range(len(bp)):
        if concentration <= bp[i]:
            if i == 0:
                iaqi = ibp[i] / bp[i] * concentration
            else:
                iaqi = (ibp[i] - ibp[i-1]) / (bp[i] - bp[i-1]) * (concentration - bp[i-1]) + ibp[i-1]
            break
    return iaqi

# 污染物浓度数据
PM25 = 50 # μg/m3
PM10 = 100 # μg/m3
SO2 = 50 # μg/m3
NO2 = 50 # μg/m3
CO = 1 # mg/m3
O3 = 50 # μg/m3

# 计算每种污染物的IAQI
IAQI_PM25 = calcIAQI(PM25, 'PM2.5')
IAQI_PM10 = calcIAQI(PM10, 'PM10')
IAQI_SO2 = calcIAQI(SO2, 'SO2')
IAQI_NO2 = calcIAQI(NO2, 'NO2')
IAQI_CO = calcIAQI(CO, 'CO')
IAQI_O3 = calcIAQI(O3, 'O3')

# 从IAQI中选取最大值作为AQI
AQI = max([IAQI_PM25, IAQI_PM10, IAQI_SO2, IAQI_NO2, IAQI_CO, IAQI_O3])

注意：以上代码仅供参考，请根据具体情况进行修改和调整。