scholarly journals Analysis of Drought in the Northern Region of Bangladesh Using Standardized Precipitation Index (SPI)

2019 ◽  
Vol 11 (1-2) ◽  
pp. 199-216
Author(s):  
R Afrin ◽  
F Hossain ◽  
SA Mamun
Keyword(s):  
Standardized Precipitation Index ◽  
Extended Period ◽  
Northern Region ◽  
Precipitation Index ◽  
Rainfall Data ◽  
Extreme Drought ◽  
Severe Drought ◽  
Drought Analysis ◽  
Dry Conditions ◽  
The Standardized Precipitation Index

Drought is an extended period when a region notes a deficiency in its water supply. The Standardized Precipitation Index (SPI) method was used in this study to analyze drought. Northern region of Bangladesh was the area of study. Monthly rainfall data of northern region of Bangladesh was obtained from the Meteorological Department of Bangladesh. Obtained rainfall data was from 1991 to 2011 and values from 2012 to 2026 were generated using Markov model. Then SPI values from 1991 to 2026 were calculated by using SPI formula for analyzing drought. Analysis with SPI method showed that droughts in northern region of Bangladesh varied from moderately dry to severely dry conditions and it may vary from moderately dry to severely dry conditions normally in future but in some cases extreme drought may also take place. From the study, it is observed that the northern region of Bangladesh has already experienced severe drought in 1991, 1992, 1994, 1995, 1997, 1998, 2000, 2003, 2005, 2007, 2009 and 2010. The region may experience severe drought in 2012, 2015, 2016, 2018, 2019, 2021, 2022, 2023, 2024, 2025 and 2026 and extreme drought in 2012, 2014, 2016, 2023 and 2024. J. Environ. Sci. & Natural Resources, 11(1-2): 199-216 2018

scholarly journals Caracterização e análise das secas na sub-bacia hidrográfica do Rio Taperoá

2020 ◽  
Vol 13 (4) ◽  
pp. 1483
Author(s):  
André Aires De Farias ◽  
Francisco de Assis Salviano De Sousa
Keyword(s):  
Standardized Precipitation Index ◽  
Precipitation Index ◽  
Rainfall Data ◽  
Severe Drought ◽  
Social Programs ◽  
Precipitation Regime ◽  
The Standardized Precipitation Index

Objetivou-se identificar e analisar os períodos de secas na sub-bacia hidrográfica do Rio Taperoá (SBHRT). Dados pluviométricos, série 1963-2014, foram utilizados para analisar a severidade dos anos secos, por meio do índice padronizado de precipitação. Verificou-se que a maioria das secas que ocorreram na SBHRT se enquadram na categoria moderada, seguido por severa e extrema. A SBHRT foi atingida por secas severas e extremas durante todas as décadas analisadas, no entanto, o maior número delas ocorreu nas décadas de 1980, 1990, 2000 e 2010. A seca mais grave foi a de 1998-2000, seguido pela de 1979-1985. A seca de 2012-2014 não foi a mais grave porque a precipitação foi acima da ocorrida no período de 1998-2000 e 1979-1985, houve também maior investimento em ações de convivência com as secas e programas sociais implantados pelos governos.  Characterization and analysis of droughts in sub-basin hydrographic of the Taperoá River  A B S T R A C TThis study aimed to identify and analyze the periods of droughts in sub-basin hydrographic of the Taperoá River (SBHTR). Rainfall data, serie 1963-2014, were used to analyze the severity of the dry years, through the standardized precipitation index (SPI). It was found that most of droughts in SBHTR occurred into the category moderate, following by severe and extreme. The SBHTR was hit by severe and extreme dried for all analyzed decades, however, as many of them occurred in the decades of 1980, 1990, 2000 and 2010. The most severe drought was the from 1998-2000, followed by 1979-1985. The drought of 2012-2014 was not the more serious because the precipitation was above occurred in 1998-2000 and 1979-1985 period, there was also greater investment in coexistence actions with droughts and social programs implemented by governments.Keywords: category of drought, precipitation regime, severity of drought.

scholarly journals Computation of the Standardized Precipitation Index (SPI) and Its Use to Assess Drought Occurrences in Cameroon over Recent Decades

2014 ◽  
Vol 53 (10) ◽  
pp. 2310-2324 ◽  
Author(s):  
Guy Merlin Guenang ◽  
F. Mkankam Kamga
Keyword(s):  
Time Scales ◽  
Goodness Of Fit ◽  
Standardized Precipitation Index ◽  
Research Unit ◽  
Distribution Functions ◽  
Precipitation Index ◽  
Severe Drought ◽  
East Anglia ◽  
The Standardized Precipitation Index ◽  
Short Time

AbstractThe standardized precipitation index (SPI) is computed and analyzed using 55 years of precipitation data recorded in 24 observation stations in Cameroon along with University of East Anglia Climate Research Unit (CRU) spatialized data. Four statistical distribution functions (gamma, exponential, Weibull, and lognormal) are first fitted to data accumulated for various time scales, and the appropriate functions are selected on the basis of the Anderson–Darling goodness-of-fit statistic. For short time scales (up to 6 months) and for stations above 10°N, the gamma distribution is the most frequent choice; below this belt, the Weibull distribution predominates. For longer than 6-month time scales, there are no consistent patterns of fitted distributions. After calculating the SPI in the usual way, operational drought thresholds that are based on an objective method are determined at each station. These thresholds are useful in drought-response decision making. From SPI time series, episodes of severe and extreme droughts are identified at many stations during the study period. Moderate/severe drought occurrences are intra-annual in short time scales and interannual for long time scales (greater than 9 months), usually spanning many years. The SPI calculated from CRU gridded precipitation shows similar results, with some discrepancies at longer scales. Thus, the spatialized dataset can be used to extend such studies to a larger region—especially data-scarce areas.

scholarly journals Drought cycle tracking in Hungary using Standardized Precipitation Index (SPI)

2019 ◽  
pp. 97-101 ◽  
Author(s):  
Safwan A. Mohammed ◽  
Endre Harsányi
Keyword(s):  
Climate Change ◽  
Eastern Europe ◽  
Natural Hazard ◽  
Standardized Precipitation Index ◽  
Precipitation Index ◽  
Rainfall Data ◽  
Trend Test ◽  
Economic Sectors ◽  
Similar Vein ◽  
The Standardized Precipitation Index

 Drought is one of the natural hazard risks which badly affects both agricultural and socio-economic sectors. Hungary, which is located in Eastern Europe has been suffering from different drought cycles; therefore, the aim of this study is to analyse the rainfall data obtained from ten metrological stations (Békéscsaba, Budapest, Debrecen, Győr, Kékestető, Miskolc, Pápa, Pécs, Szeged, Siófok, Szolnok) between 1985 and 2016, by using the Standardized Precipitation Index (SPI). The results showed that 2011 was recorded as the worst drought cycle of the studied period, where the SPI ranged between -0.22 (extreme drought) in Siófok, and 0.15 (no drought) in Miskolc. In a similar vein, the study highlighted the year 2010 to be the best hydrological year, when the SPI reached 0.73 (mildly wet) on average. Interestingly, the Mann-Kendall trend test for the drought cycle showed no positive trends in the study area. Finally, more investigation should be conducted into the climate change spatial drought cycle in Europe.

scholarly journals ANALISIS KEKERINGAN DI KABUPATEN SRAGEN DENGAN METODE PALMER, THORNTHWAITE, DAN STANDARDIZED PRECIPITATION INDEX

2021 ◽  
Vol 17 (2) ◽  
pp. 111-124
Author(s):  
Safrudin Nor Aripbilah ◽  
Heri Suprapto
Keyword(s):  
Drought Index ◽  
Southern Oscillation ◽  
Standardized Precipitation Index ◽  
Severity Index ◽  
Precipitation Index ◽  
Suitable Method ◽  
Drought Severity ◽  
Severe Drought ◽  
Drought Hazard ◽  
Dry Conditions

El Nino and La Nina in Indonesia are one of the reasons that caused climate changes, which has possibility of drought and flood disasters. Sragen Regency wherethe dry season occurs, drought happened meanwhile other areas experience floods and landslides. A study on drought needs to be carried out so as to reduce the risk of losses due to the drought hazard. This study is to determine the drought index in Sragen Regency based on several methods and the correlation of each methods and its suitability to the Southern Oscillation Index (SOI) and rainfall. Drought was analyzed using several methods such as Palmer Drought Severity Index (PDSI), Thornthwaite-Matter, and Standardized Precipitation Index (SPI) then correlated with SOI to determine the most suitable method for SOI. The variables are applied in this method are rainfall, temperature, and evapotranspiration. The results showed that the drought potential of the Palmer method is only in Near Normal conditions, which is 1%, Severe drought conditions are 29% for the Thornthwaite-Matter method, and Extreme Dry conditions only reach 1,11% for the SPI method. The PDSI and SPI methods are inversely proportional to the Thornthwaite-Matter method and the most suitable method for SOI values or rainfall is the SPI method. These three methods can be identified the potential for drought with only a few variables so that they could be applied if they only have those data.Keywords: Drought, PDSI, Thornthwaite-Matter, SPI, SOI

scholarly journals Spatiotemporal Variation of Drought Characteristics Based on Standardized Precipitation Index in Central Java over 1990-2010

2021 ◽  
Vol 893 (1) ◽  
pp. 012022
Author(s):  
Misnawati ◽  
R Boer ◽  
F Ramdhani
Keyword(s):  
Standardized Precipitation Index ◽  
Rain Gauge ◽  
Precipitation Index ◽  
Extreme Drought ◽  
Drought Severity ◽  
Severe Drought ◽  
Drought Event ◽  
Drought Characteristics ◽  
Central Java ◽  
Moderate Drought

Abstract Drought is a natural hazard that results from a deficiency of precipitation, leading to low soil moisture and river flows, reduced storage in reservoirs, and less groundwater recharge. This study investigates the spatial variations of drought characteristics (drought event frequency, duration, severity, and intensity). This study using the Standardized Precipitation Index (SPI) to analyse the drought characteristics in Central Java during 1990-2010. The rain gauge station data and CHIRPS rainfall data over Central Java is used to calculate the SPI index. The SPI was calculated at multiple timescales (1-, 3-, 6-, 12-, 24- and 48-month), the run theory was used for identification and characterization of drought events. Analysis of drought characteristics by SPI from 1990 to 2010 shows the longest drought event is four months, the maximum drought severity is 6.06, and the maximum drought intensity is 2.02. El Nino year probability drought occurrence reached 100% in August for moderate drought, severe drought, and extreme drought category, whereas the probability drought occurrences in the Normal and La Nina year range 0-70% for moderate drought, 0-50% for severe drought category and 0-40% for extreme drought category. The results of this study may help inform researchers and local policymakers to develop strategies for managing drought.

scholarly journals INDEKS KEKERINGAN SPI (STANDARDIZED PRECIPITATION INDEX) DAN PENGARUHNYA TERHADAP PRODUKTIVITAS HORTIKULTURA TAHUNAN DI KABUPATEN JEMBER

2019 ◽  
Vol 2 (4) ◽  
pp. 149
Author(s):  
Arzaky Ardi Surya Nugroho ◽  
Cahyoadi Bowo ◽  
Joko Sudibya
Keyword(s):  
Standardized Precipitation Index ◽  
Correlation Method ◽  
Precipitation Index ◽  
World Meteorological Organization ◽  
Rainfall Data ◽  
Climate Fluctuations ◽  
Productivity Data ◽  
The Standardized Precipitation Index ◽  
The Impact ◽  
The Relationship

ABSTRACT Perennial tropical horticulture is a superior product whose productivity is affected by water availability. The impact of climate fluctuations due to global warming affects the availability of ground water. This study aims to determine the effect of the Standardized Precipitation Index (SPI) drought index derived from rainfall data on the productivity of perennial horticulture (durian, avocado and rambutan). The study was conducted from July 2016 - November 2018 in 9 sub-districts in Jember Regency where has the highest production. Rainfall data is proceed into SPI data according to the guidelines of the WMO (World Meteorological Organization). Productivity data derived from production data divided by the number of plants. The results of 12 monthly SPI calculations compared with the perennial horticultural productivity data. To find out the relationship between productivity and SPI, the correlation method is used. The results showed that the appropriate SPI value for observing annual horticultural productivity was SPI 9 and 12 monthly. The value of SPI greatly influences the correlation of productivity of durian, avocado and rambutan. Keywords: SPI, productivity, annual horticulture. ABSTRAK Tanaman hortikultura tropis tahunan adalah produk unggulan yang produktivitasnya dipengaruhi oleh ketersediaan air. Dampak fluktuasi iklim akibat pemanasan global mempengaruhi ketersediaan air tanah. Penelitian ini bertujuan untuk mengetahui pengaruh index kekeringan SPI yang berasal dari data curah hujan terhadap produktivitas hotikultura tahunan (durian, alpukat dan rambutan). Penelitian dilakukan mulai bulan Juli 2016 – November 2018 pada 9 Kecamatan dengan produksi tertinggi di Kabupaten Jember. Data curah hujan diolah menjadi data SPI sesuai pedoman WMO (World Meteorological Organization) dan data produktivitas berasal dari data produksi dibagi jumlah tanaman kemudian hasil perhitungan SPI 12 bulanan dibandingkan dengan data produktifitas hortikultura t ahunan. Untuk mengetahui hubungan produktivitas dan SPI digunkan metode korelasi. Hasil penelitian menunjukkan nilai SPI yang sesuai untuk mengamati produktivitas hortikultura tahunan adalah SPI 9 dan 12 bulanan. Nilai SPI sangat berpengaruh terhadap korelasi produktivitas durian, alpukat dan rambutan. Nilai SPI yang semakin tinggi menaikkan produktivitas durian, tetapi menurunkan produktivitas alpukat dan rambutan. Kata Kunci : SPI, produktifitas, hortikuktura tahunan

scholarly journals Reliability Assessment of Agricultural Reservoirs for Water Supply under Climate Change

2020 ◽  
Vol 20 (1) ◽  
pp. 53-60
Author(s):  
Dasang Ko ◽  
Yeongcheol Joo ◽  
Taesam Lee
Keyword(s):  
Climate Change ◽  
Standardized Precipitation Index ◽  
Precipitation Index ◽  
Severe Drought ◽  
Water Shortages ◽  
The Future ◽  
Storage Rate ◽  
The Standardized Precipitation Index ◽  
Agricultural Areas

Recently, the frequency of drought occurrence and the resulting damage has increased due to climate change. Frequent severe droughts induce water shortages in agricultural reservoirs. The role of drought monitoring and prediction is critical for mitigating the effects of severe drought in agricultural areas. In this study, a compound standardized storage and precipitation index (CSSPI) was developed that adapted the existing drought index-the standardized precipitation index (SPI)-by adding hydrological data on storage rate. Furthermore, the future storage rate was simulated using autoregressive models (AR) to estimate the future CSSPI. A dataset containing records of reservoirs and precipitation at the three areas of Jungbu, Youngnam, and Honam was applied to estimate the current and future status of the CSSPI. The results indicate that the CSSPIs generated accurately present the past pattern of the observed data and that they can be considered as inputs for predicting future drought conditions.

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