...
首页> 外文期刊>International Journal of Engineering & Technology >Trend analysis using mann-kendall, sen's slope estimator test and innovative trend analysis method in Yangtze river basin, china: review
【24h】

Trend analysis using mann-kendall, sen's slope estimator test and innovative trend analysis method in Yangtze river basin, china: review

机译:利用mann-kendall,sen的斜率估计检验和创新趋势分析方法对长江流域进行趋势分析:中国

获取原文
           

摘要

Trend analysis of mean monthly flows is fundamental for better water resources management and planning in this study, Mann Kendall (MK), Sen's Method and ?en's Innovative trend method (ITM) were utilized so as to analyze the possible trends of annual and seasonal flows. In this study, trends of flow of the Yangtze River were reviewed on in seasonal and annual time series utilizing the Mann-Kendall (MK) test, Sen's slope estimator, and innovative trend method (ITM). That is why, the monthly flow information will gather in the stations of Yangtze River Basin. In any case, the seasonal and annual warming magnitudes showed large regional differences, and a higher warming rate was identified in the eastern YRB and the western source area of the Yangtze River on the Qinghai-Tibetan Plateau (QTP). In general, a warming wetting trend was identified in the south-eastern and north-western YRB, while there was a warming-drying trend in a middle region. The developed maps of spatial variability of flow trends may help the stakeholders and/or water resource managers to figure out the risk and vulnerability related to climate change in the study region.
机译:月平均流量的趋势分析是进行更好的水资源管理和规划的基础,Mann Kendall(MK),Sen方法和Fen的创新趋势方法(ITM)被用来分析年度和季节性流量的可能趋势。 。在这项研究中,利用Mann-Kendall(MK)检验,Sen斜率估算器和创新趋势法(ITM)在季节性和年度时间序列中回顾了长江的水流趋势。这就是为什么每月流量信息将收集在长江流域的站点中。无论如何,季节和年度变暖幅度都显示出较大的区域差异,并且在青藏高原(QTP)的东部YRB和长江西岸地区发现了较高的变暖率。总的来说,在东南部和西北部的黄河三角洲发现了变暖的趋势,而在中部地区则出现了变暖-干燥的趋势。拟定的流量趋势空间变异性地图可以帮助利益相关者和/或水资源管理者找出研究区域与气候变化有关的风险和脆弱性。

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