浙江省嘉兴市海宁市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，分析浙江省嘉兴市海宁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*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 constructed using data collected by Zhejiang Top Cloud-Agri Smart Agricultural Meteorological Stations, aiming to analyze the actual crop evapotranspiration (ETC) values of rice in Haining City, Jiaxing, Zhejiang Province. By analyzing the ETC dataset, the actual evapotranspiration status of local rice can be characterized, providing reliable data support for irrigation and drainage practices to improve rice yield and quality.

1. Data Source: Real-time data including air temperature, relative humidity and wind speed are collected by the aforementioned meteorological stations and uploaded at a fixed acquisition cycle.

2. Data Processing: Collected raw data are first deduplicated, merged, classified by administrative region and statistically processed. Subsequently, multiple key meteorological parameters are calculated, 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 constant. Combined with the rice crop coefficient KC value, the actual crop evapotranspiration ETC is calculated via the following formula: ETC = (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))) * KC.

3. Data Application: Through long-term tracking and analysis of ETC data, quantitative monitoring of rice evapotranspiration in the study area can be achieved, providing solid data support for irrigation and drainage management, and ultimately enhancing both the yield and quality of the local rice crop.

搜集汇总

数据集介绍

特点

该数据集包含浙江省嘉兴市海宁市水稻作物的实际蒸散发值（ETC）分析数据，数据规模为745条，通过智慧农业气象站设备采集并计算得出，旨在为水稻灌溉和排水提供数据支撑，以提高产量和质量。