新疆地区各个农田参考作物腾发量分析数据

通过全自动小型气象站对新疆地区各个农田实时监测空气中的温度、湿度和风速等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、每天每半小时通过全自动小型气象站对新疆地区各个农田实时监测空气中的温度、湿度和风速等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，得到太阳净辐射量（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 meteorological monitoring across farmlands in Xinjiang. Fully automatic small-scale weather stations are deployed to collect real-time data such as air temperature, humidity and wind speed every half-hour, with daily uploads of the collected data. The reference crop evapotranspiration (ET0) is calculated and analyzed to provide data support for farmland water surplus and deficit analysis, guide scientific farmland irrigation and drainage, and thereby improve crop yield and quality.
1. Real-time data collection: Fully automatic small-scale weather stations conduct real-time monitoring over various farmlands in Xinjiang every half-hour, collecting parameters including air temperature, humidity, wind speed and other relevant meteorological data, and upload the real-time data on a daily basis.
2. Data processing: The collected raw data is processed through deduplication, merging, regional classification and statistical analysis to derive multiple core meteorological parameters: solar net radiation (W/m²), air temperature (℃), wind speed (m/s), saturated vapor pressure (Pa), ambient humidity (%rh), atmospheric pressure slope and air humidity. The reference crop evapotranspiration (ET0) is calculated using the following formula based on these parameters:
ET0 = 0.408 × Daily Solar Net Radiation × Atmospheric Pressure Slope / (Atmospheric Pressure Slope + (Air Humidity Constant × (1 + 0.34 × Wind Speed))) + 900 × Wind Speed / (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: By tracking and analyzing long-term ET0 datasets, evapotranspiration monitoring of local farmlands can be realized, providing reliable data support for farmland irrigation and drainage management, and thus enhancing crop yield and quality.

搜集汇总

数据集介绍

特点

该数据集提供了新疆地区农田的实时环境监测数据，包括温度、湿度、风速等，并通过特定算法计算参考作物腾发量（ET0），旨在为农田灌溉和排水提供科学依据，提高作物产量和质量。