Comparison of three mathematical models for the estimation of 10-day drain discharge

Pandžić, Krešo; Šimunić, Ivan; Tomić, Franjo; Husnjak, Stjepan; Likso, Tanja; Petošić, Dragutin

doi:10.1007/s00704-005-0165-9

Cited by 6 publications

(2 citation statements)

References 5 publications

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“…In the US, it is used as a standard to study meteorological drought. It depends on many factors (Pandžić et al, 2006), and it is based on the hydrological balance of precipitation water movement in the soil-plant-atmosphere system. In addition to precipitation and air temperature, data on the amount of moisture in the soil, evapotranspiration, and the rate of moisture filling in two surface soil layers bordering the atmosphere (upper up to 20 cm, and lower up to 80 cm), are required to define it.…”

Section: Introductionmentioning

confidence: 99%

Proposal of a new method for drought analysis

Bonacci

Roje-Bonacci

et al. 2023

Journal of Hydrology and Hydromechanics

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Below-average precipitation and above-average air temperature are important factors in the occurrence and intensity of drought. In the context of global climate change, air temperature increase, as a key climatological parameter, has to be considered when calculating the drought index. We introduce a new method of drought analysis, relying on standardized values of precipitation and mean air temperatures for a certain period. The standardized value is calculated by subtracting the average value for each period from each measured value and dividing the obtained value by the standard deviation of the sample. Next, the New Drought Index (NDI) is calculated by subtracting the standardized temperature value from the standardized precipitation value. NDI values were determined for the monthly and annual precipitation time series and mean monthly and annual air temperatures measured at the stations Split-Marjan and Zagreb-Grič between 1948 and 2020. The NDI indicates that the risk of drought has intensified significantly in recent decades, which may be related to the effect of global warming.

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Section: Introductionmentioning

confidence: 99%

Proposal of a new method for drought analysis

Bonacci

Roje-Bonacci

et al. 2023

Journal of Hydrology and Hydromechanics

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“…Podcjenjivanje otjecanja se može dogoditi i jer SMB model ne promatra trajanje oborina i pretpostavlja da sva voda trenutno ide direktno u podzemlje što nije slučaj u ljetnim mjesecima. U svakom slučaju, točnost SMB modela raste s dužim periodima promatranja (Penzar, 1976;Pandžić et al 2006). Ukupno skladištenje varira od 12 do 149 milijuna m 3 tijekom promatranog razdoblja (Slika 3.20 c) i d)) pokazujući da izvor Opačac akumulira oko 137 milijuna m 3 vode u toku godine s velikim varijacijama u podzemnoj vodi između brzog i sporog toka.…”

Section: Rezultatiunclassified

Identifikacija hidroloških režima otjecanja u kršu konceptualnim i parametarskim modelima

Željković¹

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Water balance characteristic of karst aquifer consist of different water regime flows influenced not only with amount of precipitation but especially with heterogenic and hydrogeological processes which can’t be directly measured. Aside from measurement problems, identification of hydrological regime becomes more difficult if the available data is scarce and discontinuous. Although constant uncertainty is always present in predicting natural phenomena, it is possible to model estimators which can be used to analyse current state of the system and give indication trends of their main features. Relations between rainfall and runoff, the RR model, are becoming more prominent because of their capabilities to implement noisy data. RR model represents an assembly of different mathematical principles trying to describe functioning of river catchment. RR models use certain assumptions about shapes of recession curve, catchment area, base flow-quick flow ratio, soilmoisture content and so on, to determine key parameters of the water circulation process. If the parameters are successfully calibrated and tested, they can be used as new insight to the properties of regional karst. Then, calibrated model represents hydrological behaviour under conditions determined in available database. Simulation of complex karst aquifer requires conceptual and computational learning approach. Current state of computer technology is becoming ever more useful in analysing processes of limited knowledge especially for the fact that computational time is becoming shorter and available software is more flexible and understandable to end user. Aim of proposed models is defining key factors for successful representation of observed runoff. Conceptual model combines transfer function and imbeds these key factors. Parametric model uses transformation which is not transparent but gives better approximation of cost function. Systematic approach to architectural design of parametric model overcomes these problems. Implementation of new findings from both models gives better hydrological understanding of investigated case study in karst.

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