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北京市各个农田参考作物腾发量分析数据

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浙江省数据知识产权登记平台2024-11-28 更新2024-11-29 收录
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资源简介:
通过全自动小型气象站对北京市各个农田实时监测空气中的温度、湿度和风速,并每日上传即时数据,分析计算参考作物腾发量ET0,为农田水分盈亏分析提供数据支撑,指导农田科学灌溉和排水,从而提高作物的产量和质量。1.每天每一小时通过全自动小型气象站对北京市各个农田实时监测空气中的温度、湿度和风速,并每日上传即时数据。 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,计算出每日农业的太阳净辐射量(W/m²)、温度(℃)、风速(m/s)、饱和蒸汽压(Pa)、环境湿度(%rh)、大气压值斜率、空气湿度,基于这些参数,利用以下公式计算参考作物腾发量ET0: ET0=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*风速)))+900*风速/(温度+273.15)*(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*风速)))。 3、数据应用:通过长期ET0数据跟踪与分析,实现对该区域农田的蒸发蒸腾监测,为灌溉和排水提供数据支撑,从而提高作物的产量和质量。

This dataset is developed based on real-time agricultural meteorological monitoring across various farmlands in Beijing. Fully automatic mini weather stations are deployed to collect real-time air temperature, humidity and wind speed data, which are uploaded daily. The collected data is processed to calculate the reference crop evapotranspiration (ET0), providing data support for farmland water surplus and deficit analysis, guiding scientific irrigation and drainage practices, and ultimately improving crop yield and quality. 1. Monitoring Process: Hourly real-time monitoring of air temperature, humidity and wind speed is conducted at various farmlands in Beijing using fully automatic mini weather stations, with all acquired real-time data uploaded on a daily basis. 2. Data Processing: Raw collected data is first subjected to deduplication and merging, followed by regional classification and statistical processing. The following daily agricultural meteorological parameters are calculated: net solar radiation (W/m²), air temperature (℃), wind speed (m/s), saturated vapor pressure (Pa), ambient humidity (%rh), atmospheric pressure slope, and air humidity. Based on these parameters, the reference crop evapotranspiration (ET0) is calculated using the following formula: ET0 = 0.408 * Daily Net Solar Radiation * Atmospheric Pressure Slope / (Atmospheric Pressure Slope + (Air Humidity Constant * (1 + 0.34 * Wind Speed))) + 900 * Wind Speed / (Air Temperature + 273.15) * (Saturated Vapor Pressure - Ambient Humidity) * Air Humidity Constant / (Atmospheric Pressure Slope + (Air Humidity Constant * (1 + 0.34 * Wind Speed))). 3. Data Application: Long-term tracking and analysis of ET0 data enable evapotranspiration monitoring of farmlands in the target region, providing data support for irrigation and drainage operations, thereby improving crop yield and quality.
提供机构:
杭州森合悦科技有限公司
创建时间:
2024-10-25
搜集汇总
数据集介绍
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特点
该数据集包含北京市农田的实时环境监测数据,每日更新,规模为61776条,用于计算参考作物腾发量ET0,支持农田水分管理和作物产量提升。
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