The Modified Rainfall Anomaly Index (mRAI)—is this an alternative to the Standardised Precipitation Index (SPI) in evaluating future extreme precipitation characteristics?

2015 ◽  
Vol 123 (3-4) ◽  
pp. 827-844 ◽  
Author(s):  
Stephanie Hänsel ◽  
Anne Schucknecht ◽  
Jörg Matschullat
2021 ◽  
Vol 1 (2) ◽  
pp. 489-500
Author(s):  
Aulia Rahmawati Muarifah ◽  
◽  
Donny Harisuseno ◽  
Ery Suhartanto ◽  
◽  
...  

Pada DAS Welang terdapat 20 desa di 5 kecamatan di Kabupaten Pasuruan serta 19 desa di 9 kecamatan di Kabupaten Malang yang termasuk daerah rawan kekeringan. Maka dari itu perlu dilakukan analisis kekeringan. Studi ini bertujuan untuk mengetahui hasil perbandingan indeks kekeringan meteorologi metode Standardized Precipitation Index (SPI) dan Rainfall Anomaly Index (RAI) serta kesesuaian metode apabila diterapkan di DAS Welang dalam mengestimasi kekeringan. Selain itu analisis spasial dengan bantuan software ArcGIS 10.3 bertujuan untuk mengetahui daerah yang berpotensi terdampak kekeringan pada DAS Welang. Hasil analisis kekeringan Metode SPI menghasilkan indeks kekeringan paling minimum pada stasiun hujan Purwodadi sebesar -4,09 pada periode 3 bulanan. Sedangkan metode RAI menghasilkan nilai indeks minimum sebesar -3,93 pada periode 1 bulanan. Setelah dilakukan analisis hubungan kesesuaian dengan indeks kekeringan hidrologi menggunakan metode Standardized Streamflow Index (SSI), didapatkan hasil korelasi yang bersifat lemah. Maka dari itu dipilih opsi perbandingan kualitatif dengan membandingkan pola debit dan data curah hujan bulanan dan metode RAI yang lebih sesuai. Hasil penggambaran peta sebaran kekeringan menggunakan metode IDW pada tahun dengan jumlah kejadian kering terparah yaitu tahun 2007 dan 2015, didapatkan sebanyak 42 desa berpotensi terdampak kekeringan dengan bulan kering yaitu bulan Agustus, September, dan Oktober.


2014 ◽  
Vol 22 (1) ◽  
pp. 3-15 ◽  
Author(s):  
Arkadiusz Bartczak ◽  
Ryszard Glazik ◽  
Sebastian Tyszkowski

Abstract The article presents the results of research into the transformation of series of hydro-meteorological data for determining dry periods with the Standardised Precipitation Index (SPI) and the Standardised Discharge Index (SDI). Time series from eight precipitation stations and five series of river discharge data in Eastern Kujawy (central Poland) were analysed for 1951–2010. The frequency distribution of the series for their convergence with the normal distribution was tested with the Shapiro–Wilk test and homogeneity with the Bartlett's test. The transformation of the series was done with the Box–Cox technique, which made it possible to homogenise the series in terms of variance. In Poland, the technique has never been used to determine the SPI. After the transformation the distributions of virtually all series complied with the normal distribution and were homogeneous. Moreover, a statistically significant correlation between the δ transformation parameter and the skewness of the series of monthly precipitation was observed. It was similar for the series of mean monthly discharges in the winter half-year and the hydrological year. The analysis indicates an alternate occurrence of dry and wet periods both in case of precipitation and run-offs. Drought periods coincided with low flow periods. Thus, the fluctuations tend to affect the development of agriculture more than long-term ones.


Author(s):  
John Odiyo ◽  
Fhumulani I. Mathivha ◽  
Tinyiko R. Nkuna ◽  
Rachel Makungo

This study determined the risks associated with hydrological hazards and vulnerabilities to communities in Vhembe District Municipality, Limpopo province. Risk and vulnerability contribute to poverty, loss of lives and property, environmental and infrastructural destruction, food insecurity and unavailability of water resources. Streamflow and rainfall data were analysed using Log-Pearson Type III distribution and Standardised Precipitation Index (SPI), respectively, to identify return periods and probabilities of occurrence of floods and droughts. Mann–Kendall test was applied to identify trends of floods and droughts. Risk ratings were used to determine risks and vulnerabilities associated with floods and droughts. Standardised Precipitation Index analysis showed that a mild dryness condition dominated dry years in all stations with a range of 22.4% to 59.2% of the years falling within this category. Twenty-five per cent and 75% of rainfall stations depicted downward and upward trends, respectively. Equal number of streamflow stations depicted downward and upward trends. Results generally showed that flood events with return periods of 50, 100 and 200 years are mostly associated with significant and catastrophic consequence levels. This demonstrated high risk and vulnerability of the communities to these hazards. The findings of this study will aid in future planning and development of mitigation strategies associated with hydrological hazards.


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