Hydric potential of the river basin: Prądnik, Polish Highlands

Lepeška, Tomáš; Radecki‐Pawlik, Artur; Wojkowski, Jakub; Wałęga, Andrzej

doi:10.1007/s11600-017-0093-y

Cited by 11 publications

(12 citation statements)

References 44 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Therefore, the increasing demand for production lands modify the water cycle and soil properties, which causes intense environmental degradation [1][2][3][4]. Understanding the LULC impacts by using future projections of scenarios from natural vegetation cover and the human alteration of landscapes is a major concern for the development of socioeconomic functions and sustainability [5][6][7][8][9][10][11]. Each land use production unit varies in its effect on environmental attributes [12], and impact the hydrologic cycle, affecting people's living.…”

Section: Introductionmentioning

confidence: 99%

“…Landscape properties interact with global climate change [6][7][8][9]13] and other land use policy issues [14], so, to apply hypothetical scenarios of methodology in watershed environment is important for several reasons. Research into forecasters of land use interests can inform policy and contribute to the development of economic decisions to prepare for landowners' agricultural and livestock demand.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Potential Impacts of Land Use Changes on Water Resources in a Tropical Headwater Catchment

Martins

Valera

Zanata

et al. 2021

Water

View full text Add to dashboard Cite

The main objective of this study was to investigate the relationships between land use and future scenarios of land changes on water runoff and groundwater storage in an Environmental Protection Area (EPAs) watershed. The methodology was based on the application of the Soil and Water Assessment Tool (SWAT) hydrological modelling to investigate flow simulations in current land use and in two future scenarios (forest and pasture). The performance of goodness-of-fit indicators in the calibration (NSE = 0.82, R2 = 0.85, PBIAS = 11.9% and RSR = 0.42) and validation (NSE = 0.70, R2 = 0.72, PBIAS = −4% and RSR = 0.55) was classified as good and very good, respectively. The model accurately reproduced the inter-annual distribution of rainfall. The spatial distribution of average annual surface flow, lateral flow, and groundwater flow were different between sub-basins. The future scenario on land use change to forest (FRSE) and pasture (PAST) differed during the year, with greater changes on rainy and dry seasons. FRSE increase of 64.5% in area led to decreased surface runoff, total runoff, and soil water; and increased lateral flow, groundwater, and evapotranspiration. The effect of the natural vegetation cover on soil moisture content is still unclear. The hydrological model indicated the main areas of optimal spatial water flow. Considering economic values, those areas should encourage the development of government policies based on incentive platforms that can improve environmental soil and water sustainability by establishing payment for environmental services (PES).

show abstract

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Potential Impacts of Land Use Changes on Water Resources in a Tropical Headwater Catchment

Martins

Valera

Zanata

et al. 2021

Water

View full text Add to dashboard Cite

show abstract

“…To identify the hydric potential of analyzed river catchments, the LHP method was used. The methodology of LHP calculation was described in detail by Lepeška [16], Lepeška et al [18], and Wojkowski et al [22]. The spatial distribution of LHP is the sum of all environment attributes and is calculated from Equation 1.…”

Section: Landscape Hydric Potentialmentioning

confidence: 99%

“…The following steps of LHP calculation were used [18]: (1) the attributes, which describe the hydric potential, were scored based on the hydrologic quality of an area (landscape element/ecosystem); (2) the attributes were evaluated in relation to hydric potential of landscape; the ability and the quality of attributes with respect to retention and infiltrate precipitation, as well as quality of hydrometeorological attributes (precipitation and potential evapotranspiration), were evaluated; (3) the quality of attributes in relation to landscape hydric potential were graded as extraordinary (scores: +2.0; +2.5; +3.0), high (+0.5; +1.0; +1.75), moderate (0; in the category of forest stands +1.5), low (−1.0; in the category of forest ecosystems 0), very low (−2.0; −0.25), and limited (−3.0; −4.0); (4) attributes were weighted to show the importance attribute in relation to other attributes; (5) attributes were weighted in paired comparison of individual importance. Results were expressed by Fuller's triangle.…”

Section: Landscape Hydric Potentialmentioning

confidence: 99%

“…The method allows evaluating ecosystem attributes and their ability to manage water. The LHP method was successfully tested within several catchments across central Europe [17][18][19][20][21][22]. The LHP method is based on the assessment of the average amount of precipitation and on the landscape attributes influencing runoff infiltration, deceleration, and retention.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

New Empirical Model Using Landscape Hydric Potential Method to Estimate Median Peak Discharges in Mountain Ungauged Catchments

Wałęga

Młyński

Wojkowski

et al. 2020

Water

Self Cite

View full text Add to dashboard Cite

Designing hydraulic structures, such as culverts, bridges, weirs, and check dams, while planning new flood inundation areas, needs correct assessment of design discharges. In gauged catchments with long time series of discharges, statistical methods are commonly used based on fixed theoretical distributions and on empirical distributions. However, in ungauged catchments, this approach is not possible. In addition to more advanced methods, which are used today, e.g., rainfall–runoff models, much more simple approaches are still needed based on regionalization and empirical models. Thus, the objective of this work is to develop a new empirical model for calculating peak discharge expressed as the median of annual peak discharge (QMED). The innovative aspect of this paper is the use of a new parameter, named landscape hydric potential (LHP), as a descriptor of water storage in catchments. LHP has a crucial role as the descriptor of water storage in catchment and, thus, it has an influence on forming discharges. The work was done in the Upper Vistula basin in the Polish Carpathians. This study was carried out in mountain catchments located in the Upper Vistula basin, in the south part of Poland in in the Polish Carpathians. Results show that the proposed model could provide appropriate calculations in changing climate conditions, as well as when land use is changed. The proposed model is simple and effective; for calculating QMED, it needs only two parameters: catchment area and LHP. Since the model has a significant and high correlation coefficient, it could be used for assessing of QMED in ungauged mountain catchments. The determined form of the empirical equation finds application in the entire Upper Vistula basin, for catchments with a surface area from 24 km2 up to 660 km2.

show abstract

Assessing discharge periodicity in mountain catchments using classified environmental conditions (Tatra Mountains, Poland)

Borowska-Pakuła

Mięsiak-Wójcik

2021

J. Mt. Sci.

View full text Add to dashboard Cite

The periodicity of a river expressed in cycles of various lengths (monthly, seasonal, multiannual) is a result of climatic factors and overlapping environmental conditions within its catchment. In uncontrolled or poorly surveyed catchments, it is very difficult to determine the duration of a stream’s hydrological activity. This is especially relevant for catchments with complicated water circulation in karstic rocks. The present study concerns the small catchment of the Strązyski Potok river located in the area of the Tatra National Park, in the Western Tatras. The observation period covered the 2015 hydrological year, which differed hydrologically from average conditions. This study aims to develop a simple method to explain the processes shaping the mountain stream discharge periodicity. The research employed periodic field observations linked with climatic and non-climatic factors. Environmental conditions were assessed as four classes reflecting their influence on appearance or disappearance of mountain stream water. Class boundaries were the values of quartiles. The degree of correspondence between environmental factors and stream field observations was described via the Index DC (Degree Correspondence Index) approach. Complete correspondence (Index DC =0) was found in 23% catchments, a weak relationship between conditions favouring discharge and actual condition (Index DC= -1, +1) was noted within 11 catchments, while in 9 catchments, no such relationship was found (Index DC = -2, +2). The obtained results indicate a correspondence or lack thereof between the environmental potential of the catchment and its discharge periodicity. The discrepancies between the assessment of the influence of climatic and non-climatic factors and the data collected during field observations provide a basis for more detailed studies. Continuation of these studies based on the proposed classifications will allow for a more complete explanation of water disappearance in river channels and the determination of their short- and long-term discharge periodicity.

show abstract

Hydric potential of the river basin: Prądnik, Polish Highlands

Cited by 11 publications

References 44 publications

Potential Impacts of Land Use Changes on Water Resources in a Tropical Headwater Catchment

Potential Impacts of Land Use Changes on Water Resources in a Tropical Headwater Catchment

New Empirical Model Using Landscape Hydric Potential Method to Estimate Median Peak Discharges in Mountain Ungauged Catchments

Assessing discharge periodicity in mountain catchments using classified environmental conditions (Tatra Mountains, Poland)

Contact Info

Product

Resources

About