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Are precipitation concentration and intensity changing in Bangladesh overtimes? Analysis of the possible causes of changes in precipitation systems

机译:孟加拉国超越沉淀浓度和强度变化吗?降水系统变化可能原因分析

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A comprehensive understanding of the changing behaviors of precipitation concentration and intensity plays a pivotal role in water resource management. Hence, we investigated the spatiotemporal changing behaviors of frequency and intensity of 13 precipitation indices and their probable causes of changes in precipitation systems. This study used daily precipitation datasets from 23 sites in Bangladesh and six atmospheric circulation indices during 1975-2017. The results showed that the precipitation concentration index (WI) varies between 0.57 and 0.63, and the highest value was found in the southeastern region. The precipitation days frequency indices such as AD, LPD, MPD, HPD, and WPD have significantly increased in Bangladesh while precipitation intensity indices such as All. LPL MPI, HPI, and WPI have significantly declined; all types of indices have dear rapid changes. The results of detrended fluctuation analysis (DFA) exhibit long-term correlations among all precipitation indices, suggesting that these indices will sustain their present trend line in the upcoming period. The Sunspot (SS) and East Asian Summer Monsoon Index (EASMI) had a negative influence on ACI and South Asian Summer Monsoon index (SASMI) had a strong positive influence on precipitation days frequency indices. The significance analysis using the random forest (RF) algorithm showed that SS is the largest contributing factor affecting the precipitation systems in Bangladesh. ECMWF ERAS reanalysis datasets revealed that elevating summer geopotential height, higher anticyclonic anomaly, increasing low and decreasing high cloud covers and lower solar radiation with adequate moisture divergence fluxes contributed to variations in precipitation extremes in Bangladesh. (C) 2019 Elsevier B.V. All rights reserved.
机译:全面了解降水浓度和强度的不断变化的行为在水资源管理中发挥了关键作用。因此,我们研究了13个降水指数的频率和强度的时空变化行为及其降水系统变化的可能原因。本研究在1975 - 2017年期间使用了来自孟加拉国和六个大气流通指数的23个地点的日降水数据集。结果表明,沉淀浓度指数(WI)在0.57和0.63之间变化,最高值在东南部地区发现。孟加拉国诸如AD,LPD,MPD,HPD和WPD等降水天频率指数在孟加拉国均显着增加,而诸如全部的降水强度指数。 LPL MPI,HPI和WPI显着下降;所有类型的指数都有亲爱的快速变化。减少波动分析(DFA)的结果表现出所有降水指标之间的长期相关性,这表明这些指数将在即将到期的期间维持其目前的趋势线。 Sunspot(SS)和东亚夏季季风指数(Easmi)对ACI和南亚夏季季风指数(SASMI)对降水天频率指数产生了强烈的积极影响。使用随机森林(RF)算法的重要性分析表明,SS是影响孟加拉国降水系统的最大贡献因素。 ECMWF ERAS Reanalysicate数据集显示,夏季地理位势高度,更高的防寒克隆异常,较低和较低的高云覆盖率和较低的太阳辐射具有足够的水分分歧的升高以及孟加拉国沉淀极端的变化。 (c)2019 Elsevier B.v.保留所有权利。

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