Evaluation of recent drought conditions by standardized precipitation index and potential evapotranspiration over Indonesia

Pramudya, Yudhi; Onishi, Toshikazu; Senge, Masateru; Hiramatsu, Ken; Nur, Prasetyo M. R.

doi:10.1007/s10333-019-00728-z

Cited by 13 publications

(5 citation statements)

References 8 publications

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“…These authors verified that from the year 2000, despite an attenuated period between 2009 and 2011, the trend of growth of system deficits began to occur more intensely, with a greater gradient, considering both the volume and magnitude of the duration of the drought event. That is, these results are consistent with those observed in the Brígida river basin, in which the increase in the magnitude of droughts was identified in the 1991-2016 interval when compared to the period 1961-1990. Pramudya et al (2019, from the results of the SPI concluded that most of Indonesia had severe and extreme droughts in the period 1991-2006, and that Borneo Island and West Papua are the islands that stopped the most extreme drought during dry seasons analysed throughout the historical series.…”

Section: /18supporting

confidence: 91%

“…In this context, the scientific community has been developing numerous research on the occurrence of droughts and aridity in the semi-arid regions in Brazil and around the world. Examples of these studies were conducted by Felix (2015); Eshetu et al (2016); Guenang & Kamga (2014); Pramudya et al (2019); Rodrigues et al (2018); Chowdhury (2018); Moral et al (2017); Dabaghi & Manjari (2017); Fundação Oswaldo Cruz (2017); Jesus et al (2019) and Gao et al (2015).…”

Section: Introductionmentioning

confidence: 99%

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Temporal trend of drought and aridity indices in semi-arid pernambucano to determine susceptibility to desertification

Silva

Azevedo

2020

RBRH

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ABSTRACT In semi-arid regions, the use of drought and aridity indices in order to establish diagnoses and prognoses that help in water resources management is crucial, above all, for the evaluation of long-term water availability, and monitoring hydrological extreme events. Therefore, the aim of this study was to evaluate the trends of extreme events to determine susceptibility to desertification in the Brígida river basin, by Drought (RAI, SPI and PDSI) and Aridity (MIA, AI and AIASD) Indices. The results of these indices submitted to statistical analysis (Tukey Test) and to the evaluation of the climate trend (TREND software). The Tukey Test indicated that the PDSI and RAI method are the most suitable for drought analysis, while AI is most appropriate for aridity. The results indicated that regardless of the indices employed, the stations presented significant results in the trend analysis, suggesting intensification of these events over time. Therefore, concluded that drought and aridity indices could help water resources management by managing bodies, indicating the evolution of extreme hydrological phenomena, suggesting the adoption of preventive and mitigating actions regarding the use of water priority. In conclusion, these indices can be used as a tool for indicating areas susceptible to the desertification process.

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Section: /18supporting

confidence: 91%

Section: Introductionmentioning

confidence: 99%

Temporal trend of drought and aridity indices in semi-arid pernambucano to determine susceptibility to desertification

Silva

Azevedo

2020

RBRH

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“…Therefore, carrying out a drought assessment as a disaster mitigation effort is necessary. So far, most of the drought identification has been carried out in the central to eastern parts of Indonesia (Kuswanto et al, 2019;Nurdiati et al, 2021;Pramudya et al, 2019), particularly in Java and Kalimantan. Therefore, this research used the SPI and EDI methods to identify drought, especially extreme drought in Sumatra.…”

Section: Introductionmentioning

confidence: 99%

Extreme Drought Assessment in Sumatra-Indonesia Using SPI and EDI

Suhadi,

Iskandar,

Supari

et al. 2023

Sci. Technol. Indones

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Even though Sumatra is very vulnerable to the effects of drought, research identifying drought on this island is very limited, especially extreme drought. This research was conducted to identify extreme drought in Sumatra using the Standardized Precipitation Index (SPI) and the Effective Drought Index (EDI). This study uses precipitation data from the Indonesian Meteorology, Climatology and Geophysics Agency (BMKG) and Global Precipitation Climatology Center (GPCC) reanalysis data. The composite indices were conducted to discover some phenomena that cause the drought based on El Niño and positive Indian Ocean Dipole (IOD) events. The results showed that the El Niño and positive IOD phenomena were more likely to influence extreme droughts. However, the droughts in 2014 and 2008 tended to be influenced by the negative Sea Surface Temperature anomaly (SSTA). The spatial analysis results show that the areas that experience extreme drought more often are the west coast of Sumatra (except Aceh province), especially based on SPI12 and EDI. The composite indices results show that the drought that occurred in Aceh province was more influenced by the El Niño phenomenon in the December-January-February (DJF) period and the positive IOD in the June-July-August (JJA) – September-October-November (SON) period. In addition, Aceh province is an area that is not affected by El Niño-positive IOD, especially during the SON-DJF period. These results can be used to mitigate drought, especially when El Niño-positive IOD phenomena cause it.

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“…Therefore, the accurate representation of ET is important for rainfall-runoff modeling due to its impact on the hydrological responses (Anggraheni et al, 2018), but unfortunately, many watershed in Indonesia lack sufficient ET measurements. To address this issue, previous study was conducted where ET was calculated using a variety of numerical models, such as Penman-Monteith (Aprialdi et al, 2019;Widyanto et al, 2014), Thornthwaite method (Pramudya et al, 2019), and modified Penman (Batchelor, 1984).…”

Section: Introductionmentioning

confidence: 99%

Assessing the Reliability of Satellite-Derived Evapotranspiration Data Using Numerical Modified Penman Method at Citarum Watershed

Anggraheni,

Zulkarnain,

Giardini

et al. 2023

IJG

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Evapotranspiration is an essential part of water availability analysis and crop water needs that are useful to estimate irrigation water demand. Since discharge measurement stations are limited, the analysis of water availability is the most important part of water management planning. Citarum watershed is the biggest watershed in West Java, supplies raw water to Jakarta, the capital city of Indonesia. Modified Penman is the common equation to analyze evapotranspiration, which was developed by Food and Agriculture Organization (FAO) and modified for tropical areas. Evapotranspiration is one term of the water balance equation. To determine water losses, it is necessary to solve this equation. Another source of evapotranspiration data is provided by the Moderate Resolution Imaging Spectroradiometer (MODIS) satellite's standard product, MOD16A2. In order to used the evapotranspiration satelilite data to fullfill the lack of groud station data, the reliability of satelite data is needed. The objective of this study is to compares and analyzes the reliability of satellite evapotranspiration potential images with the numerical Modified Penman method at Citarum Watershed. Modified Penman is one of several methods that calculate the evapotranspiration potential based on climate data. MOD16A2 was used for simulation data, and Modified Penman was used for baseline data. The reliability of the two simulations was analyzed by the skewness percentage of each pixel and period. The distribution of percent skewness indicates the performance of satellite evapotranspiration on the Modified Penman that represents the actual condition. The sensitivity of satellites is greatly affected by local weather conditions.

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Evaluation of recent drought conditions by standardized precipitation index and potential evapotranspiration over Indonesia

Cited by 13 publications

References 8 publications

Temporal trend of drought and aridity indices in semi-arid pernambucano to determine susceptibility to desertification

Temporal trend of drought and aridity indices in semi-arid pernambucano to determine susceptibility to desertification

Extreme Drought Assessment in Sumatra-Indonesia Using SPI and EDI

Assessing the Reliability of Satellite-Derived Evapotranspiration Data Using Numerical Modified Penman Method at Citarum Watershed

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