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Future changes in rainfall, temperature and reference evapotranspiration in the central India by least square support vector machine

机译:最小二乘支持向量机在印度中部降雨,温度和参考蒸散量的未来变化

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摘要

Climate change affects the environment and natural resources immensely.Rainfall,temperature and evapotranspiration are major parameters of climate affecting changes in the environment.Evapotranspiration plays a key role in crop production and water balance of a region,one of the major parameters affected by climate change.The reference evapotranspiration or ETo is a calculated parameter used in this research.In the present study,changes in the future rainfall,minimum and maximum temperature,and ET0 have been shown by downscaling the HadCM3 (Hadley Centre Coupled Model version 3) model data.The selected study area is located in a part of the Narmada river basin area in Madhya Pradesh in central India.The downscaled outputs of projected rainfall,ETo and temperatures have been shown for the 21st century with the HADCM3 data of A2 scenario by the Least Square Support Vector Machine (LS-SVM) model.The efficiency of the LS-SVM model was measured by different statistical methods.The selected predictors show considerable correlation with the rainfall and temperature and the application of this model has been done in a basin area which is an agriculture based region and is sensitive to the change of rainfall and temperature.Results showed an increase in the future rainfall,temperatures and ET0.The temperature increase is projected in the high rise of minimum temperature in winter time and the highest increase in maximum temperature is projected in the pre-monsoon season or from March to May.Highest increase is projected in the 2080s in 2081-2091 and 2091-2099 in maximum temperature and 2091-2099 in minimum temperature in all the stations.Winter maximum temperature has been observed to have increased in the future.High rainfall is also observed with higher ETo in some decades.Two peaks of the increase are observed in ET0 in the April-May and in the October.Variation in these parameters due to climate change might have an impact on the future water resource of the study area,which is mainly an agricultural based region,and will help in proper planning and management.
机译:气候变化极大地影响着环境和自然资源。降雨,温度和蒸散量是影响环境变化的主要气候参数。蒸散量在一个地区的作物生产和水平衡中起着关键作用,是气候变化影响的主要参数之一。参考蒸发蒸腾量或ETo是本研究中使用的计算参数。在本研究中,通过缩小HadCM3(Hadley中心耦合模型版本3)模型数据的规模,可以显示未来降雨,最低和最高温度以及ET0的变化。选定的研究区域位于印度中部中央邦纳尔达达河流域的一部分。通过最少的A2情景的HADCM3数据,已显示了21世纪预计降雨量,ETo和温度的缩减输出。正方形支持向量机(LS-SVM)模型.LS-SVM模型的效率是通过不同的统计方法测量的。预报因子与降雨和温度具有显着的相关性,该模型已在一个以农业为基础的流域地区进行了应用,该地区对降雨和温度的变化敏感。结果表明,未来的降雨,温度和温度会增加ET0。预计温度升高是冬季最低温度的最高升高,最高温度最高的升高预计是在季风前季节或3月至5月。最高升高的年份是2080年代的2081-2091和所有站点的最高温度为2091-2099,最低温度为2091-2099。未来将观测到冬季最高温度升高,几十年来也观察到高降雨和ETo较高的现象,观测到两个峰值在四月至五月和十月的ET0中。由于气候变化而导致的这些参数的变化可能会影响研究区域的未来水资源,w hich主要是农业地区,将有助于适当的计划和管理。

著录项

  • 来源
    《地学前缘(英文版)》 |2017年第3期|583-596|共14页
  • 作者单位

    Department of Water Resources Development and Management,Indian Institute of Technology,Roorkee,India;

    Department of Water Resources Development and Management,Indian Institute of Technology,Roorkee,India;

    Department of Water Resources Development and Management,Indian Institute of Technology,Roorkee,India;

  • 收录信息 中国科学引文数据库(CSCD);中国科技论文与引文数据库(CSTPCD);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
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  • 入库时间 2022-08-19 03:56:09
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