...
首页> 外文期刊>The Science of the Total Environment >Comparison of the climate indices based on the relationship between yield loss of rain-fed winter wheat and changes of climate indices using GEE model
【24h】

Comparison of the climate indices based on the relationship between yield loss of rain-fed winter wheat and changes of climate indices using GEE model

机译:利用GEE模型基于雨养冬小麦产量损失与气候指数变化之间关系的气候指数比较

获取原文
获取原文并翻译 | 示例
           

摘要

Climate change is one of the most important meteorological phenomena that has had a lot of impacts on different sections with different spatial scales. In recent decades, climate changes affected by various factors especially human activities have had various impacts in different sections such as melting glaciers, various flood occurrence, occurrence of different droughts and etc. UNEP aridity Index (UNEP) and Modified De-Martonne index (MDM) are two more used indices to evaluate climate conditions in various regions of the world. In this paper; 1) the temporal trend of changes in climate conditions based on UNEP and MDM indices using climatological data (from 1967 to 2017) of 16 meteorological stations using parametric and non-parametric statistical tests were evaluated 2) the accuracy of UNEP and MDM indices were compared to assess climate conditions, based on the correlation between mentioned indices and percent of annual yield loss (AYL) in rain-fed winter wheat using simple and multiple Generalizes Estimation Equation (GEE) methods (for help managers to select more suitable and more accurate index to assess climate condition). Results showed, based on UNEP and MDM indices, climate indices in 93.75% and 87.5% of stations had a decreasing trend, but decreasing trend only in 56.25% and 50% of stations were significant at 5% level (respectively). The evaluation of the accuracy of UNEP and MDM indices showed that, in all stations, vertical bar B vertical bar coefficients between calculated AYL and UNEP and MDM indices and R-2 coefficients between simulated AYL using AquaCrop model and predicted AYL using simple and multiple GEE methods in UNEP aridity index were more than MDM index. So, it is recommended to use UNEP aridity index to assess the climate conditions in different regions. (C) 2019 Elsevier B.V. All rights reserved.
机译:气候变化是最重要的气象现象之一,已对具有不同空间尺度的不同区域产生了很大影响。在最近几十年中,受各种因素(尤其是人类活动)影响的气候变化在不同地区产生了不同的影响,例如冰川融化,各种洪水发生,不同干旱的发生等。UNEP干旱指数(UNEP)和修正的De-Martonne指数(MDM) )是另外两个用于评估世界各地气候条件的指标。本文1)根据16个气象站的气候数据(从1967年至2017年)使用环境参数和非参数统计检验,根据环境署和MDM指数对气候条件变化的时间趋势进行了评估2)比较了环境署和MDM指数的准确性基于上述指标与雨育冬小麦年产量损失百分比(AYL)之间的相关性,使用简单和多种广义估计方程(GEE)方法评估气候条件(帮助管理人员选择更合适,更准确的指标评估气候条件)。结果显示,根据UNEP和MDM指数,分别在93.75%和87.5%的气象站中有下降趋势,但在5%的水平上,分别只有56.25%和50%的气象站下降趋势显着。对UNEP和MDM指数准确性的评估表明,在所有站点中,使用AquaCrop模型计算出的AYL和UNEP之间的竖线B竖线系数以及UNEP和MDM指数之间的竖线B系数以及使用简单和多个GEE进行模拟的AYL和预测的AYL之间的R-2系数环境署干旱指数的方法要比MDM指数多。因此,建议使用环境署的干旱指数来评估不同地区的气候条件。 (C)2019 Elsevier B.V.保留所有权利。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号