Modelling of Surface Water Quality by Catchment Model SWAT

Glavan, Matjaž; Pintar, Marina

doi:10.5772/29581

Cited by 6 publications

(11 citation statements)

References 39 publications

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“…Attempts to model the effects of climate change on catchment processes are numerous, classified as empirical-statistical, physical, or conceptual models. Two examples for conceptual models are the generalized watershed loading functions (GWLF) model (Schneiderman et al 2010) and the Soil and Water Assessment Tool (SWAT) model (Glavan and Pintar 2012).…”

Section: Catchment Related Processesmentioning

confidence: 99%

Impact of climate warming on European inland waters

Dokulil¹

2014

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Climate change impacts include such an overwhelming number of facets that the extent of references is impossible to cover. The selection presented in this review on global warming is presumably subjective, although the author has tried to assemble relevant and/or most recent information. The references specified should be regarded as examples that direct the reader to more information on a specific subject.

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Section: Catchment Related Processesmentioning

confidence: 99%

Impact of climate warming on European inland waters

Dokulil¹

2014

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“…The efficiency, the quality and the reliability of the model results were evaluated for the calibration and validation periods using graphical comparison and three 3967 HISTORICAL LAND USE CHANGE AND ITS EFFECT ON BLUE AND GREEN WATER well-known and generally used statistical measures: the coefficient of determination (R 2 ) (indicates the quality of relationship between observed and predicted results), the coefficient of efficiency (determines the relative magnitude of the residual variance compared with the measured data variance) (Nash and Sutcliffe, 1970) and the percent bias (PBIAS) (measures the average tendency of simulated flows to be larger or smaller than their observed counterparts) (Glavan & Pintar, 2012).…”

Section: Model Setup and Calibrationmentioning

confidence: 99%

Land use change in a 200‐year period and its effect on blue and green water flow in two Slovenian Mediterranean catchments—lessons for the future

Glavan

Pintar

Völk

2012

Hydrological Processes

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The overexploitation and impairment of our freshwater resources require land management strategies that support the preservation of green and blue water flow and various ecosystem services. Historical landscape analysis and the influential driving factors of landscape development provide an essential basis for tackling current environmental questions in land and water management. Hence, this article investigates the influence of historical land use pattern on the hydrological processes and provision of blue and green water flow and storage for man and ecosystems under current climate conditions. Moreover, we discuss in how far these findings could be used to predict or optimise future land management options or as a reference for future land and water management. We used digitalized historical land use maps from 1787, 1827, 1940 and 1984 and a digital land use map of present situation from 2009 for our study areas, which are two small scale Slovenian catchments (Reka and Dragonja). The integrated river basin model soil and water assessment tool was used to simulate the land use change effects on blue and green water flow. The results showed for both catchments that the influence of land use change on total and green water quantity would be statistically insignificant but would have considerable effects on the seasonal flows. In the Reka catchment, historical situations indicate effects on spring and summer blue and green water flow due to a decreased percentage of forest and an increased percentage of grassland and vineyards in the past. Results for the Dragonja catchment indicate past shift from arable land use to forest as decrease in summer green water flow and increase in blue water flow. Possible effects are also increased levels of blue water flow and decreased levels of green water flow during the growing period of the year. Copyright © 2012 John Wiley & Sons, Ltd.

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“…Calibration is a process to better parameterize a model to a given set of local conditions, thereby reducing prediction uncertainty. During calibration, parameters are varied within an acceptable range until a satisfactory correlation is achieved between measured and simulated data [18,25]. In this study, calibration of the model was performed for flow and sediment on a daily and monthly basis.…”

Section: Model Setup and Evaluationmentioning

confidence: 99%

“…Many other studies report the positive effect of measures (rotation, conservation tillage, cover crops, contour farming, vegetative filter strips, terracing, etc.) on soil loss reduction at the field scale [1,[10][11][12][13][14][15] or the river basin scale [16][17][18][19][20][21]. As the performance of measures is highly dependent on local circumstances (e.g., soil type, slope, crop and climate), combining different measures can lead to a greater reduction of soil loss and sediment yield [16,19,22].…”

Section: Introductionmentioning

confidence: 99%

Modelling Agri‐Environmental Measures for Minimizing Soil Erosion While Protecting Valuable Agricultural Land

Glavan¹,

Zorčič²,

Pintar³

2016

River Basin Management

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Erosion processes in river basins and the consequent transport of sediment and sedimentbound pollutants to reservoirs cause hydromorphological changes and eutrophication, as well as the loss of reservoir storage capacity. This chapter deals with the optimal selection and implementation of agri-environmental measures in river basins to reduce sediment yield and load. The main aim of this was to contribute to more efficient river basin management by minimizing soil erosion, while protecting valuable agricultural land. This includes implementing measures at the most critical source areas, where they are most effective and necessary. The river Ledava basin was selected as the study area. It covers an area of 105 km 2 in northeast Slovenia and southeast Austria. The results of monitoring the river Ledava discharge reveal that the average annual concentration of sediment in the water body exceeded the recommended value of 25 mg/l by 46.7%. Using the Soil and Water Assessment Tool (SWAT), we were able to determine critical source areas and simulate the effects of eight different agri-environmental scenarios on sediment yield reduction. The results show that critical source areas comprise 12% of the river basin. Most of the scenarios reduced sediment load in the river Ledava where steeper slopes in the sub-basin prevail and where high average annual sediment transport from hydrologic response units (HRUs) has been identified. The impact of the scenarios on the average annual sediment load (ton/year) in the river was lower than for the sediment yield (ton/ha) at the HRU level.

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Modelling of Surface Water Quality by Catchment Model SWAT

Cited by 6 publications

References 39 publications

Impact of climate warming on European inland waters

Impact of climate warming on European inland waters

Land use change in a 200‐year period and its effect on blue and green water flow in two Slovenian Mediterranean catchments—lessons for the future

Modelling Agri‐Environmental Measures for Minimizing Soil Erosion While Protecting Valuable Agricultural Land

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