Regionalization of low flows based on Canonical Correlation Analysis

Tsakiris, George; Nalbantis, Ioannis; Cavadias, George

doi:10.1016/j.advwatres.2011.04.007

Cited by 47 publications

(19 citation statements)

References 27 publications

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“…The review of drought indices can be found in several manuscripts such as Tsakiris et al 2013;Vangelis et al 2013;Bazrafshan and Khalili 2013;Zehtabian et al 2013;Tsakiris et al 2011;Tsakiris et al 2008;Tsakiris and Vangelis 2005;Tsakiris et al 2007a, b. In this study, the changes trend of spatial pattern of drought (changes in areas with different classes of drought) based on RDI index in different time series includes: seasonal (3 months) and annual (12 months) time series in South of Iran from 1980 to 2010 have been considered.…”

Section: Introductionmentioning

confidence: 99%

Analysis of Changes in Spatial Pattern of Drought Using RDI Index in south of Iran

Zarei¹,

Moghimi²,

Mahmoudi³

2016

Water Resour Manage

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Drought is one of the main natural hazards affecting the economy and the environment of large areas. Droughts cause crop losses, urban water supply shortages, social alarm, degradation and desertification. In this study, the spatial characteristics of annual and seasonal drought were evaluated based on climate data from 16 synoptic stations during the period of 1980-2010 in south of Iran. To estimate the drought severity used modified Reconnaissance Drought Index (RDI) and to prepare maps, ArcGis10.2 software was used. Results showed in annual drought, percent of areas with normal condition, severe dry and extreme dry condition have had significant increasing trend (0.95 level). In winter drought, the percentage of areas with severe dry and extreme dry condition have had significant increasing trend (0.95 level). In spring drought, percent of areas with moderate dry has had significant increasing trend (0.95 level), in summer drought, percent of areas with moderate dry has had increasing trend (insignificant) and in autumn drought, percent of areas with severe dry has had significant increasing trend (0.95 level). Other classes of drought in different time scales had not significant trend. Result showed that the percentage of area with dry condition is increasing, this can be effective on the agricultural activities, agricultural productions, water resource management and other activities.

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Section: Introductionmentioning

confidence: 99%

Analysis of Changes in Spatial Pattern of Drought Using RDI Index in south of Iran

Zarei¹,

Moghimi²,

Mahmoudi³

2016

Water Resour Manage

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“…Consequently, the efficient planning and management of water resources is of major concern to sustainable development (Zhang et al, 2008). Knowledge of streamflows is extremely important for planning and management of water resources, assisting in the design of dams and hydroelectric plants, evaluation of the availability of water for irrigation and other water uses, risk assessment for flood and drought, and other concerns (Masih et al, 2010;Tsakiris et al, 2011).…”

Section: Introductionmentioning

confidence: 99%

Improved regionalization of streamflow by use of the streamflow equivalent of precipitation as an explanatory variable

Pruski

Nunes

Pruski

et al. 2013

Journal of Hydrology

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“…For this we performed re-sampling through the well-known jack-knife method. Its application in classifying drainage basins can be found in Tsakiris et al (2011). By focusing on PCA scores we define errors in these scores as…”

Section: Geomorphometric Characteristicsmentioning

confidence: 99%

“…Examples of similar approaches that use geomorphometric characteristics can be found in literature (e.g. Vogel and Kroll 1990;Tsakiris et al 2011).…”

mentioning

confidence: 97%

Classification of Drainage Basins Based on Readily Available Information

Papageorgaki

Nalbantis

2016

Water Resour Manage

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Classification of drainage basins into groups with similar response to meteorological forcing can be very helpful in cases of transfer of hydrological information in space such as in streamflow prediction in ungauged basins. It is also critical for the implementation of the Water Framework Directive and related legislative tools of the EU such as the Flood Directive. The focus is testing the ability to classify drainage basins using climate-based variables and geomorphometric characteristics as predictors. Precipitation is selected as the climate-based variable, since this is commonly measured in the majority of basins. Geomorphometric characteristics include, among others, the average ground slope and drainage density; these are derived from a Digital Terrain Model. The employed methodology involves two steps. In the first step we perform unsupervised classification through using the fuzzy c-means method to identify basin classes that serve as the reference classes in the second step of analysis. A set of hydrological signatures is used in the first step, which includes the runoff ratio, the baseflow index, the slope of the flow duration curve, and the snow day ratio. In the second step we perform supervised classification through using the kNearest Neighbour method which maps predictors to basin classes. Last, the success rate of the obtained classification is assessed through using jack-knife re-sampling. Twenty-four gauged basins in mainland Greece are used, which are classified into four classes. The employed methodology proved to be successful in more than 95 % of cases of recognition of the class for an ungauged basin.

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Regionalization of low flows based on Canonical Correlation Analysis

Cited by 47 publications

References 27 publications

Analysis of Changes in Spatial Pattern of Drought Using RDI Index in south of Iran

Analysis of Changes in Spatial Pattern of Drought Using RDI Index in south of Iran

Improved regionalization of streamflow by use of the streamflow equivalent of precipitation as an explanatory variable

Classification of Drainage Basins Based on Readily Available Information

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