浙江省江山市水稻作物实际蒸散发值分析数据
收藏资源简介：
通过浙江托普云农智慧农业气象站设备采集数据，分析浙江省江山市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-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））））*KC，这里的土壤热通量的值为0。 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 designed to analyze the actual crop evapotranspiration (ETC) of rice in Jiangshan City, Zhejiang Province, with data collected by smart agricultural meteorological stations developed by Zhejiang Top Cloud-agri Technology. The analysis of ETC data reveals the actual evapotranspiration status of rice, providing data support for irrigation and drainage to improve rice yield and quality. 1. Data Source: Data including air temperature, humidity and wind speed are collected via the aforementioned smart agricultural meteorological stations, and real-time data are uploaded at fixed collection intervals. 2. Data Processing: The collected data are deduplicated, merged, classified by region and statistically processed. Calculations are conducted to derive daily net solar 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 (KC value), the actual crop evapotranspiration (ETC) is calculated using the following formula: ETC = [0.408*(Daily net solar radiation - Soil heat flux)*(Atmospheric pressure slope)/(Atmospheric pressure slope + Air humidity constant*(1 + 0.34*Average wind speed)) + 900*Average wind speed/(Average temperature + 273.15)*(Average saturated vapor pressure - Ambient humidity)*Air humidity constant/(Atmospheric pressure slope + Air humidity constant*(1 + 0.34*Average wind speed))] * KC, where the soil heat flux is set to 0. 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, thereby improving rice yield and quality.
