江苏省南通市参考作物腾发量分析数据

1、数据来源：通过浙江托普云农智慧农业气象站设备TP-WMS-1L、TP-WMS-1P和TP-WMS-1等，实时监测空气温度、湿度和风速,以一定采集周期上传即时数据。 2、数据处理 对采集到的数据进行去重、合并，按照区域分类、统计处理，计算出每日太阳净辐射量（W/m²）、平均温度（℃）、平均风速（m/s）、平均饱和蒸汽压（Pa）、环境湿度（%rh）、大气压值斜率、空气湿度等参数，基于这些参数，利用以下公式计算参考作物腾发量ET0： ET0=0.408*（每日太阳净辐射量-土壤热通量）*大气压值斜率/（大气压值斜率+（空气湿度常数*（1+0.34*平均风速）））+900*平均风速/（平均温度+273.15）*（平均饱和蒸汽压-环境湿度）*空气湿度常数/（大气压值斜率+（空气湿度常数*(1+0.34*平均风速））），这里的土壤热通量的值为0。 3、数据应用：通过长期ET0数据跟踪与分析，实现对该区域农田的蒸发蒸腾监测，为灌溉和排水提供数据支撑，从而提高作物的产量和质量。1、数据来源：通过浙江托普云农智慧农业气象站设备TP-WMS-1L、TP-WMS-1P和TP-WMS-1等，实时监测空气温度、湿度和风速,以一定采集周期上传即时数据。 2、数据处理 对采集到的数据进行去重、合并，按照区域分类、统计处理，计算出每日太阳净辐射量（W/m²）、平均温度（℃）、平均风速（m/s）、平均饱和蒸汽压（Pa）、环境湿度（%rh）、大气压值斜率、空气湿度等参数，基于这些参数，利用以下公式计算参考作物腾发量ET0： ET0=0.408*每日太阳净辐射量*大气压值斜率/（大气压值斜率+（空气湿度常数*（1+0.34*平均风速）））+900*平均风速/（平均温度+273.15）*（平均饱和蒸汽压-环境湿度）*空气湿度常数/（大气压值斜率+（空气湿度常数*(1+0.34*平均风速）））。 3、数据应用：通过长期ET0数据跟踪与分析，实现对该区域农田的蒸发蒸腾监测，为灌溉和排水提供数据支撑，从而提高作物的产量和质量。1. Data Source: Real-time monitoring of air temperature, humidity and wind speed is conducted via Zhejiang Top Cloud-agri Smart Agricultural Weather Stations (models TP-WMS-1L, TP-WMS-1P, TP-WMS-1, etc.), and real-time data is uploaded at fixed collection intervals. 2. Data Processing: Collected data is subjected to deduplication, merging, regional classification and statistical processing. Parameters including daily solar net radiation (W/m²), average air temperature (℃), average wind speed (m/s), average saturated vapor pressure (Pa), ambient humidity (%rh), atmospheric pressure slope and air humidity are calculated. Based on these parameters, the reference crop evapotranspiration (ET0) is calculated using the following formula: ET0=0.408*(daily solar net radiation - soil heat flux)*atmospheric pressure slope / (atmospheric pressure slope + (air humidity constant*(1+0.34*average wind speed))) + 900*average wind speed / (average air temperature +273.15)*(average saturated vapor pressure - ambient humidity)*air humidity constant / (atmospheric pressure slope + (air humidity constant*(1+0.34*average wind speed))) Note: The value of soil heat flux is 0 here. 3. Data Application: Through long-term tracking and analysis of ET0 data, evapotranspiration monitoring of farmlands in this area is realized, providing data support for irrigation and drainage, thereby improving crop yield and quality. 1. Data Source: Real-time monitoring of air temperature, humidity and wind speed is conducted via Zhejiang Top Cloud-agri Smart Agricultural Weather Stations (models TP-WMS-1L, TP-WMS-1P, TP-WMS-1, etc.), and real-time data is uploaded at fixed collection intervals. 2. Data Processing: Collected data is subjected to deduplication, merging, regional classification and statistical processing. Parameters including daily solar net radiation (W/m²), average air temperature (℃), average wind speed (m/s), average saturated vapor pressure (Pa), ambient humidity (%rh), atmospheric pressure slope and air humidity are calculated. Based on these parameters, the reference crop evapotranspiration (ET0) is calculated using the following formula: ET0=0.408*daily solar net radiation*atmospheric pressure slope / (atmospheric pressure slope + (air humidity constant*(1+0.34*average wind speed))) + 900*average wind speed / (average air temperature +273.15)*(average saturated vapor pressure - ambient humidity)*air humidity constant / (atmospheric pressure slope + (air humidity constant*(1+0.34*average wind speed))) 3. Data Application: Through long-term tracking and analysis of ET0 data, evapotranspiration monitoring of farmlands in this area is realized, providing data support for irrigation and drainage, thereby improving crop yield and quality.