评估将 NASAPOWER 网格气象应用于巴西灌溉规划和管理的可靠性

IF 2.8 4区 地球科学 Q3 METEOROLOGY & ATMOSPHERIC SCIENCES
Rafael Battisti, Otávio Coscrato Cardoso da Silva, Fábio Miguel Knapp, José Alves Júnior, Marcio Mesquita, Leonardo Amaral Monteiro
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引用次数: 0

摘要

农业灌溉系统的可持续性取决于基于管理的用水效率。要提高用水效率,首先要对作物需水量进行充分估计。然而,气象数据的缺乏限制了巴西灌溉需求的规划和估算。因此,本研究的目的是调查作为巴西气象数据替代来源的 NASAPOWER 网格系统。首先,我们测试了 NASAPOWER 和地面气象站之间气象变量的可靠性。此外,我们还计算了作物周期内连续干旱天数的最大值,并通过土壤-作物水分平衡计算了九种作物的灌溉需求。通过判定系数(r2)、一致性(d)和归一化均方根误差(nRMSE)对其性能进行了研究。总体而言,气温和太阳辐射的统计指标最好(r2 ~ 0.53-0.83;d ~ 0.84-0.94;nRMSE ~ 8.61-23.5%),而风速最差(r2 ~ 0.09;d ~ 0.53;nRMSE ~ 93%)。NASAPOWER 是确定作物周期内干旱天数和灌溉次数的重要工具。灌溉需求在 NASAPOWER 和地面气象站之间显示出良好的关系(r² = 0.79 和 d = 0.94),但 nRMSE 为 53%,原因是当灌溉需求超过 200 毫米周期-1 时偏差较大。NASAPOWER 显示出作为不同作物系统灌溉管理气象信息源的潜力,对其进行局部调整可提高长周期作物的灌溉效果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Assessment of the reliability to use NASAPOWER gridded weather applied to irrigation planning and management in Brazil

Assessment of the reliability to use NASAPOWER gridded weather applied to irrigation planning and management in Brazil

The sustainability of irrigated agricultural systems depends on the water use efficiency based on management. The efficiency is reach first by an adequate estimation of crop water demand. However, the lack of weather data is a limitation to plan and estimation irrigation demand in Brazil. This way, the aim of this study was to investigate NASAPOWER gridded system as alternative source of weather data in Brazil. First, we tested how reliable are the meteorological variables between NASAPOWER and ground weather stations. Further, we calculated the maximum number of consecutive dry days within the crop cycle, and the irrigation demand through the soil-crop water balance for nine crops. The performance was investigated through coefficients of determination (r2), agreement (d) and normalized root mean square error (nRMSE). In general, air temperature and incoming solar radiation presented the best statistical metrics (r2 ~ 0.53–0.83; d ~ 0.84–0.94; and nRMSE ~ 8.61–23.5%), whereas the wind speed had the worst (r2 ~ 0.09; d ~ 0.53; and nRMSE ~ 93%). NASAPOWER figured as a valuable tool for determine the number of dry days and number of irrigation events during the crop cycle. Irrigation demand showed a good relation between NASAPOWER and ground weather station (r² = 0.79 and d = 0.94), but with nRMSE of 53%, due to a higher deviation when irrigation demand is above 200 mm cycle− 1. NASAPOWER showed potential as source of meteorological information for irrigation management for different cropping systems, where local adjustment could improve performances for crops with long cycle.

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来源期刊
Theoretical and Applied Climatology
Theoretical and Applied Climatology 地学-气象与大气科学
CiteScore
6.00
自引率
11.80%
发文量
376
审稿时长
4.3 months
期刊介绍: Theoretical and Applied Climatology covers the following topics: - climate modeling, climatic changes and climate forecasting, micro- to mesoclimate, applied meteorology as in agro- and forestmeteorology, biometeorology, building meteorology and atmospheric radiation problems as they relate to the biosphere - effects of anthropogenic and natural aerosols or gaseous trace constituents - hardware and software elements of meteorological measurements, including techniques of remote sensing
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