Integrated spatial assessment of inland excess water hazard on the Great Hungarian Plain

Abstract

Inland excess water (IEW) is a form of surplus surface water, often regarded as a specific flood type. However, it occurs most frequently in local depressions of large flat areas, irrespective of river floods and the surface water networks. IEW is considered to be a typical Carpathian Basin problem, as it can cause major land degradation problems in the agricultural areas of Hungary, mainly located on the Great Hungarian Plain (GHP). An innovative method for mapping the probability of IEW inundation is proposed in this study. This method is based on the geostatistical modelling of the relationship between the natural and human driving factors and the occurrence of IEW inundations. The results show that significant part of the GHP (about 500,000 hectares) is moderately or highly affected by IEW inundations, where the combination of multiple influencing factors simultaneously occur. The resulted IEW inundation probability map can be used to meet future challenges in agricultural management and the adaptations to climate change effects.

Sentinel-1 and -2 Based near Real Time Inland Excess Water Mapping for Optimized Water Management

“…There is a close relation The areas that are most vulnerable are southeast of the city of Orosháza, the low-lying plains in the west, the valley of the lower Tisza and the areas close to the Körös river. There is a close relation between these areas and the regularly flooded regions prior to the 19th century river regulations [15]. Due to the geomorphological characteristics of the Maros alluvial fan, IEW can also develop on the higher areas, which can cause significant damage at the border of the alluvial fan [2].…”

“…The temperature of 5-10 • C was several degrees above the normal temperature in February and March, causing increased evaporation. between these areas and the regularly flooded regions prior to the 19th century river regulations [15]. Due to the geomorphological characteristics of the Maros alluvial fan, IEW can also develop on the higher areas, which can cause significant damage at the border of the alluvial fan [2].…”

“…Pálfai [11] was one of the first to perform hazard mapping based on factors causing inland excess water resulting in the national inland excess water index map. Since then, many national, regional and local versions of this approach have been published (e.g., [12][13][14][15][16][17]). The maps provide information on the vulnerability of an area to IEW, but do not give information about actual occurrences, nor about the development of the phenomenon.…”

Application of Hybrid Prediction Methods in Spatial Assessment of Inland Excess Water Hazard

“…Szabó et al [53] compared the performance of random-forest-based pedotransfer functions and random forest combined with kriging in deriving 3D soil hydraulic properties. Pásztor et al [54] mapped risk of IEW of a Hungarian county, Bozán et al [55] mapped relative frequency of IEW inundation on the Great Hungarian Plain. Both mapping processes were carried out by Regression Kriging method, based on the relationship between the occurrence of IEW inundations and its driving factors.…”

The ammonium lactate soluble potassium and phosphorus content of the soils of north-east Hungary region: a quantifying study

“…Results revealed that a significant part of the GHP (about 500,000 hectares) is moderately or highly affected by IEW flooding, caused by the combination of multiple factors that act simultaneously. IEW inundation probability maps were drawn, which can meet future challenges in agricultural management and the adaptations to climate change effects (Bozan et al, 2018. ) From 1965 to 1995, one can distinguish different periods of fertilizer use in Hungarian agriculture.…”