Literature DB >> 31299571

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

Md Siddiqur Rahman1, Abu Reza Md Towfiqul Islam2.   

Abstract

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 (LCI) 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 AII, LPI, MPI, HPI, and WPI have significantly declined; all types of indices have clear 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 ERA5 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.
Copyright © 2019 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Bangladesh; Detrended fluctuation analysis; Precipitation concentration indices; Random forest algorithm; Sunspot influence

Year:  2019        PMID: 31299571     DOI: 10.1016/j.scitotenv.2019.06.529

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  4 in total

1.  Pre- and post-dam river water temperature alteration prediction using advanced machine learning models.

Authors:  Dinesh Kumar Vishwakarma; Rawshan Ali; Shakeel Ahmad Bhat; Ahmed Elbeltagi; Nand Lal Kushwaha; Rohitashw Kumar; Jitendra Rajput; Salim Heddam; Alban Kuriqi
Journal:  Environ Sci Pollut Res Int       Date:  2022-06-28       Impact factor: 5.190

2.  COVID-19 pandemic, dengue epidemic, and climate change vulnerability in Bangladesh: Scenario assessment for strategic management and policy implications.

Authors:  Md Mostafizur Rahman; Md Bodrud-Doza; Mashura Shammi; Abu Reza Md Towfiqul Islam; Abu Sadat Moniruzzaman Khan
Journal:  Environ Res       Date:  2020-10-16       Impact factor: 6.498

3.  Consumer fish consumption preferences and contributing factors: empirical evidence from Rangpur city corporation, Bangladesh.

Authors:  Md Naimur Rahman; Abu Reza Md Towfiqul Islam
Journal:  Heliyon       Date:  2020-12-28

4.  Appraising the historical and projected spatiotemporal changes in the heat index in Bangladesh.

Authors:  Mahzabin Binte Rahman; Roquia Salam; Abu Reza Md Towfiqul Islam; Anjum Tasnuva; Ubydul Haque; Shamsuddin Shahid; Zhenghua Hu; Javed Mallick
Journal:  Theor Appl Climatol       Date:  2021-07-23       Impact factor: 3.179

  4 in total

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