浙江省湖州市水稻作物实际蒸散发值分析数据
收藏浙江省数据知识产权登记平台2024-10-08 更新2024-10-09 收录
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资源简介:
该数据主要通过采集浙江托普云农智慧农业气象站设备,分析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 primarily collects data using Zhejiang Top Cloud-agri Smart Agricultural Meteorological Station equipment, analyzes the actual crop evapotranspiration (ETC) value of rice, and derives the actual evapotranspiration status of rice via 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 smart agricultural meteorological station equipment, with real-time data uploaded at a fixed collection 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), 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 value 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 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 target region can be achieved, providing data support for irrigation and drainage, thereby enhancing rice yield and quality.
提供机构:
浙江托普云农科技股份有限公司
创建时间:
2024-08-29
搜集汇总
数据集介绍

特点
该数据集包含745条记录,主要采集自浙江托普云农智慧农业气象站设备,用于分析水稻的作物实际蒸散发ETC值。数据通过特定算法计算得出,旨在为水稻灌溉和排水提供数据支撑,从而提高产量和质量。
以上内容由遇见数据集搜集并总结生成



