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 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 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 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.

scholarly journals Estiagens, secas e os processos de arenização na Bacia Hidrográfica do Arroio Miracatu, sudoeste do estado do Rio Grande do Sul

GeoTextos ◽  
2020 ◽  
Vol 16 (2) ◽  
Author(s):  
Andrey Luis Binda ◽  
Roberto Verdum
Keyword(s):  
Standardized Precipitation Index ◽  
Rio Grande ◽  
Precipitation Index ◽  
Rainfall Data ◽  
Data Series ◽  
Rio Grande Do Sul ◽  
Dry Period ◽  
Creek Watershed ◽  
The Standardized Precipitation Index

<p>Os processos de arenização no sudoeste do Rio Grande do Sul são altamente dinâmicos, ora por meio da água, ora por ação dos ventos que remobilizam as exposições arenosas nos períodos com ausência de chuva. Assim, tanto o excesso como a escassez pluviométrica são fundamentais para a compreensão desses processos. Partindo desse pressuposto, o presente trabalho visa a analisar a ocorrência de estiagens e secas considerando uma série de dados pluviométricos (1970-2015) coletados na Bacia Hidrográfica do Arroio Miracatu, local este onde se encontra a maior extensão de áreas em processo de arenização. Considerando a metodologia empregada para a determinação de episódios de estiagem (períodos com mais de 15 dias sem chuva), constatou-se que houve registros em praticamente todos os anos estudados (exceto um). Mensalmente, a distribuição piramidal dos episódios coloca o trimestre maio-julho como o mais propício, embora possam ocorrer em qualquer época do ano. Contudo, a maior frequência de estiagens na década de 1970 é reflexo de um grande período seco, cuja determinação foi possível a partir do Índice Padronizado de Seca Pluviométrica.</p><p>Abstract</p><p>DRY PERIODS, DROUGHTS AND THE SANDIZATION PROCESSES IN MIRACATU CREEK WATERSHED, SOUTHWEST OF RIO GRANDE DO SUL STATE, BRAZIL</p><p>The sandization processes in the southwest of Rio Grande do Sul State are highly dynamic, sometimes through water action, sometimes due to winds action that remobilize sandy deposits in dry periods with no rain. Thus, both the excess and the absence of rain are fundamental for understanding this process. Based on this assumption, the present work aims to analyze the occurrence of droughts and dry periods considering a rainfall data series (1970-2015) collected in the Miracatu Creek Watershed, site where there is the largest extension of areas in the sandization process. Considering the methodology used to determine drought episodes (periods with more than 15 consecutives dry days), it was found that there were records in practically every year studied (except one). Monthly, the pyramidal distribution of episodes puts the May July quarter as the most favorable, although they can occur at any time of the year. However, the greater frequency of droughts in the 1970s reflects a long dry period, whose determination was possible based on the Standardized Precipitation Index.</p>

scholarly journals Hydrological response to different time scales of climatological drought: an evaluation of the Standardized Precipitation Index in a mountainous Mediterranean basin

2005 ◽  
Vol 9 (5) ◽  
pp. 523-533 ◽  
Author(s):  
S. M. Vicente-Serrano ◽  
J. I. López-Moreno
Keyword(s):  
Time Scales ◽  
Hydrological Cycle ◽  
Standardized Precipitation Index ◽  
Precipitation Index ◽  
Drought Indices ◽  
Long Time ◽  
The Standardized Precipitation Index ◽  
Hydrological Droughts ◽  
Different Time Scales

Abstract. At present, the Standardized Precipitation Index (SPI) is the most widely used drought index to provide good estimations about the intensity, magnitude and spatial extent of droughts. The main advantage of the SPI in comparison with other indices is the fact that the SPI enables both determination of drought conditions at different time scales and monitoring of different drought types. It is widely accepted that SPI time scales affect different sub-systems in the hydrological cycle due to the fact that the response of the different water usable sources to precipitation shortages can be very different. The long time scales of SPI are related to hydrological droughts (river flows and reservoir storages). Nevertheless, few analyses empirically verify these statements or the usefulness of the SPI time scales to monitor drought. In this paper, the SPI at different time scales is compared with surface hydrological variables in a big closed basin located in the central Spanish Pyrenees. We provide evidence about the way in which the longer (>12 months) SPI time scales may not be useful for drought quantification in this area. In general, the surface flows respond to short SPI time scales whereas the reservoir storages respond to longer time scales (7–10 months). Nevertheless, important seasonal differences can be identified in the SPI-usable water sources relationships. This suggests that it is necessary to test the drought indices and time scales in relation to their usefulness for monitoring different drought types under different environmental conditions and water demand situations.

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