浙江省湖州市德清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，分析浙江省湖州市德清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。This dataset is collected using smart agricultural meteorological station equipment from Zhejiang Top Cloud Agriculture, to analyze the actual crop evapotranspiration (ETC) values of rice in Deqing County, Huzhou City, Zhejiang Province. Analysis of ETC data allows obtaining the actual evapotranspiration status of local rice, providing data support for irrigation and drainage, thereby improving 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 a fixed collection cycle. 2. Data Processing: The collected raw data are deduplicated, merged, classified by region and statistically processed. Subsequently, the following parameters are calculated: daily solar net radiation (W/m²), average temperature (℃), average wind speed (m/s), average saturated vapor pressure (Pa), ambient humidity (%rh), atmospheric pressure slope and air humidity constant. Combined with the rice crop coefficient (K_c), the actual crop evapotranspiration ETC is calculated via the following formula: ( ext{ETC} = left[ frac{0.408 imes R_n imes Delta}{Delta + gamma imes (1 + 0.34 imes u_2)} + frac{900 imes u_2}{T + 273.15} imes (e_s - e_a) imes frac{gamma}{Delta + gamma imes (1 + 0.34 imes u_2)} ight] imes K_c ) Where (R_n) denotes daily solar net radiation, (T) denotes average temperature, (u_2) denotes average wind speed, (e_s) denotes average saturated vapor pressure, (e_a) denotes ambient humidity, (Delta) denotes atmospheric pressure slope, and (gamma) denotes air humidity constant. 3. Data Application: Through long-term tracking and analysis of ETC data, quantitative monitoring of rice evapotranspiration in this region can be realized, providing data support for irrigation and drainage, thus enhancing rice yield and quality.