Drought Hazard Evaluation in Boro Paddy Cultivated Areas of Western Bangladesh at Current and Future Climate Change Conditions

Islam, Abu Reza Md. Towfiqul; Shen, Suhung; Hu, Zhenghua; Rahman, Mohammad Atiqur

doi:10.1155/2017/3514381

Cited by 80 publications

(50 citation statements)

References 38 publications

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“…The Penman-Monteith (PM) method is a commonly used approach recommended by the Food and Agriculture Organization of the United Nations to determine the potential evapotranspiration (PET) [59], and is considered by the International Commission on Irrigation and Drainage and American Society of Civil Engineers as the standard method for such calculations [60]. Combining the SPEI with the PM method was revealed to increase the reliability of results in arid areas of Northwest China [61]. As such, this method is applied in this study to calculate the PET given in Equation (A1).…”

Section: Appendix Amentioning

confidence: 99%

Climate Change Affected Vegetation Dynamics in the Northern Xinjiang of China: Evaluation by SPEI and NDVI

Luo

Mao

Wen

et al. 2020

Land

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Drought and vegetation dynamics in the northern Xinjiang Uygur Autonomous Region of China (NXC), the centre of Asia with arid climate, were assessed using the standardized precipitation evapotranspiration index (SPEI) and the normalized difference vegetation index (NDVI). Analyses were performed through the use of Sen's method and Spearman's correlation to investigate variations in the NDVI and the impacts of drought on vegetation from 1998 to 2015. The severity of droughts in the NXC was assessed by the SPEI, which was revealed to increase over the last 60 years at a rate of 0.017 per decade. This indicates that an alleviating tendency of drought intensity occurred in the NXC. Specifically, the spatial pattern of drought intensity increased gradually from the north-western to south-eastern regions. The average yearly NDVI was 0.28 and increased slightly by 0.001 yr −1 (r = 0.94, p = 3.64) between 1998 and 2015. Additionally, the NDVI showed an obviously spatial heterogeneity, with greater values in the west and small values in the east. Significantly, positive correlations between SPEI and NDVI were observed, while drought exerted a five-year lag effect on vegetation.

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Section: Appendix Amentioning

confidence: 99%

Climate Change Affected Vegetation Dynamics in the Northern Xinjiang of China: Evaluation by SPEI and NDVI

Luo

Mao

Wen

et al. 2020

Land

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“…Several studies have been conducted on drought assessment in Bangladesh and its impacts [11][12][13][14][15][16][17][18][19]. Most of these studies quantify drought severity by using the standardized precipitation index (SPI) [20], while very few studies have been conducted using the Palmer drought severity index (PDSI) [21] and the Standardized Precipitation Evapotranspiration Index (SPEI) [22].…”

Section: Introductionmentioning

confidence: 99%

“…Although several studies have attempted to investigate droughts in Bangladesh, most of them utilized weather information from a few stations without considering nationwide weather data. [15,16,18,19,31]. Only a handful of studies have utilized nationwide weather data by using mainly SPI indices [4,12,14,17,32].…”

Section: Introductionmentioning

confidence: 99%

Evaluating the Spatiotemporal Characteristics of Agricultural Drought in Bangladesh Using Effective Drought Index

Kamruzzaman

Hwang

Cho³

et al. 2019

Water

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This study aims to assess the spatiotemporal characteristics of agricultural droughts in Bangladesh during 1981–2015 using the Effective Drought Index (EDI). Monthly precipitation data for 36 years (1980–2015) obtained from 27 metrological stations, were used in this study. The EDI performance was evaluated for four sub-regions over the country through comparisons with historical drought records identified by regional analysis. Analysis at a regional level showed that EDI could reasonably detect the drought years/events during the study period. The study also presented that the overall drought severity had increased during the past 35 years. The characteristics (severity and duration) of drought were also analyzed in terms of the spatiotemporal evolution of the frequency of drought events. It was found that the western and central regions of the country are comparatively more vulnerable to drought. Moreover, the southwestern region is more prone to extreme drought, whereas the central region is more prone to severe droughts. Besides, the central region was more prone to extra-long-term droughts, while the coastal areas in the southwestern as well as in the central and north-western regions were more prone to long-term droughts. The frequency of droughts in all categories significantly increased during the last quinquennial period (2011 to 2015). The seasonal analysis showed that the north-western areas were prone to extreme droughts during the Kharif (wet) and Rabi (dry) seasons. The central and northern regions were affected by recurring severe droughts in all cropping seasons. Further, the most significant increasing trend of the drought-affected area was observed within the central region, especially during the pre-monsoon (March–May) season. The results of this study can aid policymakers in the development of drought mitigation strategies in the future.

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“…A number of studies have suggested that the overall monsoon rainfall will increase and post-monsoon rainfall will decreases in the future throughout most parts of the country [34,35]. Notably, very few studies have been done concerning future drought projections [35,36]. Islam et al [36] evaluated the drought hazards at current and future climate change conditions in the western region of Bangladesh by using simulated climate data from the outputs of three global climate models for the period between 2041 and 2070.…”

Section: Introductionmentioning

confidence: 99%

“…Notably, very few studies have been done concerning future drought projections [35,36]. Islam et al [36] evaluated the drought hazards at current and future climate change conditions in the western region of Bangladesh by using simulated climate data from the outputs of three global climate models for the period between 2041 and 2070. Hasan et al [35] estimated the future drought conditions by using 25 km high resolution downscaled and projected climate data generated from the RCM known as PRECIS for a continuous period of 1971-2100.…”

Section: Introductionmentioning

confidence: 99%

Future Changes in Precipitation and Drought Characteristics over Bangladesh under CMIP5 Climatological Projections

Kamruzzaman

Jang

Cho

et al. 2019

Water

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The impacts of climate change on precipitation and drought characteristics over Bangladesh were examined by using the daily precipitation outputs from 29 bias-corrected general circulation models (GCMs) under the representative concentration pathway (RCP) 4.5 and 8.5 scenarios. A precipitation-based drought estimator, namely, the Effective Drought Index (EDI), was applied to quantify the characteristics of drought events in terms of the severity and duration. The changes in drought characteristics were assessed for the beginning (2010-2039), middle , and end of this century relative to the 1976-2005 baseline. The GCMs were limited in regard to forecasting the occurrence of future extreme droughts. Overall, the findings showed that the annual precipitation will increase in the 21st century over Bangladesh; the increasing rate was comparatively higher under the RCP8.5 scenario. The highest increase in rainfall is expected to happen over the drought-prone northern region. The general trends of drought frequency, duration, and intensity are likely to decrease in the 21st century over Bangladesh under both RCP scenarios, except for the maximum drought intensity during the beginning of the century, which is projected to increase over the country. The extreme and medium-term drought events did not show any significant changes in the future under both scenarios except for the medium-term droughts, which decreased by 55% compared to the base period during the 2070s under RCP8.5. However, extreme drought days will likely increase in most of the cropping seasons for the different future periods under both scenarios. The spatial distribution of changes in drought characteristics indicates that the drought-vulnerable areas are expected to shift from the northwestern region to the central and the southern region in the future under both scenarios due to the effects of climate change.

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Drought Hazard Evaluation in Boro Paddy Cultivated Areas of Western Bangladesh at Current and Future Climate Change Conditions

Cited by 80 publications

References 38 publications

Climate Change Affected Vegetation Dynamics in the Northern Xinjiang of China: Evaluation by SPEI and NDVI

Climate Change Affected Vegetation Dynamics in the Northern Xinjiang of China: Evaluation by SPEI and NDVI

Evaluating the Spatiotemporal Characteristics of Agricultural Drought in Bangladesh Using Effective Drought Index

Future Changes in Precipitation and Drought Characteristics over Bangladesh under CMIP5 Climatological Projections

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