浙江省湖州市安吉县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，分析浙江省湖州市安吉县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。

Data was collected using intelligent agricultural meteorological stations from Zhejiang Top Cloud-agri Technology to analyze the actual crop evapotranspiration (ETC) values of rice in Anji County, Huzhou City, Zhejiang Province. Analysis of the ETC data reveals the actual evapotranspiration status of the local rice crop, providing data support for irrigation and drainage operations to enhance rice yield and quality.

1. Data Source: Air temperature, humidity and wind speed data are collected by the aforementioned meteorological stations, with real-time data uploaded at regular collection intervals.

2. Data Processing: The collected raw data are deduplicated, merged, classified by region and statistically processed. Calculated parameters include 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 constant. Combining these parameters with the rice crop coefficient (KC value), the actual crop evapotranspiration (ETC) is calculated via the following formula:
$$ ext{ETC} = left[ frac{0.408 imes ext{Daily Solar Net Radiation} imes ext{Atmospheric Pressure Slope}}{ ext{Atmospheric Pressure Slope} + ext{Air Humidity Constant} imes (1 + 0.34 imes ext{Average Wind Speed})} + frac{900 imes ext{Average Wind Speed}}{ ext{Average Temperature} + 273.15} imes ( ext{Average Saturated Vapor Pressure} - ext{Ambient Humidity}) imes frac{ ext{Air Humidity Constant}}{ ext{Atmospheric Pressure Slope} + ext{Air Humidity Constant} imes (1 + 0.34 imes ext{Average Wind Speed})}
ight] imes ext{KC}$$

3. Data Application: Long-term tracking and analysis of ETC data enable quantitative monitoring of rice evapotranspiration in this region, providing data support for irrigation and drainage management, thereby improving rice yield and quality.