江苏省南京市溧水区水稻作物实际蒸散发值分析数据

通过浙江托普云农智慧农业气象站设备采集数据，分析江苏省南京市溧水区水稻的作物实际蒸散发ETC值，通过对ETC数据分析得到水稻实际蒸发蒸腾情况，为灌溉和排水提供数据支撑，从而提高水稻的产量和质量。1、数据来源：通过浙江智慧农业气象站设备采集空气温度、湿度和风速数据,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、空气湿度常数，结合水稻作物系数KC值，计算作物实际蒸散发值ETC： ETC=（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））））*KC。 3、数据应用：通过长期ETC数据跟踪与分析，实现对该区域水稻的蒸发蒸腾定量监测，为灌溉和排水提供数据支撑，从而提高水稻的产量和质量。

This dataset is developed to analyze the crop actual evapotranspiration (ETC) values of rice in Lishui District, Nanjing, Jiangsu Province, using data collected by Zhejiang Top Cloud-agri Smart Agricultural Meteorological Station equipment. Actual evapotranspiration conditions of rice are obtained through ETC data analysis, providing data support for irrigation and drainage to improve rice yield and quality.

1. Data Source
Air temperature, humidity and wind speed data are collected by the aforementioned smart agricultural meteorological station, and real-time data is uploaded at a fixed acquisition cycle.

2. Data Processing
The collected data are deduplicated, merged, classified by region and statistically processed. The following parameters are calculated: daily solar net radiation (W/m²), mean air temperature (℃), mean wind speed (m/s), mean saturated vapor pressure (Pa), ambient humidity (%rh), atmospheric pressure slope and air humidity constant. Combined with the rice crop coefficient KC value, the crop actual evapotranspiration value ETC is computed via the following formula:
ETC = (0.408 * Daily Solar Net Radiation * Atmospheric Pressure Slope / (Atmospheric Pressure Slope + Air Humidity Constant * (1 + 0.34 * Mean Wind Speed)) + 900 * Mean Wind Speed / (Mean Air Temperature + 273.15) * (Mean Saturated Vapor Pressure - Ambient Humidity) * Air Humidity Constant / (Atmospheric Pressure Slope + Air Humidity Constant * (1 + 0.34 * Mean Wind Speed))) * KC

3. Data Application
Through long-term tracking and analysis of ETC data, quantitative monitoring of rice evapotranspiration in this region is achieved, providing data support for irrigation and drainage, thereby enhancing rice yield and quality.