The impact of climate change on the annual variation of shallow groundwater levels in Latvia

Lauva, Didzis; Grīnfelde, Inga; Veinbergs, Artūrs; Abramenko, Kaspars; Vircavs, Valdis; Dimanta, Z.; Vitola, Ilva

doi:10.2478/v10145-012-0007-9

Cited by 3 publications

(4 citation statements)

References 6 publications

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“…The monitoring stations of Berze and Mellupite (Figure 1) are situated in somewhat similar climatic conditions, while the climate at the Vienziemite monitoring station is more continental (Lauva et al 2012). All stations represent a humid climate zone with four seasons, such as Winter, Spring, Summer, and Autumn.…”

Section: Site Descriptionmentioning

confidence: 99%

The impact of regional and catchment characteristics on long-term runoff in small agricultural catchments in Latvia

Veinbergs

Lagzdiņš

2022

Water Practice and Technology

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The explanation of runoff behavior is challenging due to variable weather conditions, catchment characteristics. The parameter equifinality in catchment-scale models turns into the uncertain distribution of water balance components even though models tend to represent total runoff well. This study aims to discuss long-term runoff and evapotranspiration (ET) variations affected by regional allocation and catchment characteristics in Latvia. The study applies the observational runoff data from drainage fields and small catchment scales. The sites represent the spatially different regions in Latvia with relatively variable yearly precipitation amounts. The robust data of surface slope gradients, the share of subsurface drainage systems, arable and grasslands, and ditch networks describes the differences in the catchment characteristics. The results reveal that higher long-term yearly average runoff and ET rates experience the regions with higher yearly precipitation amounts. Simultaneously, as higher the long-term yearly average precipitation and steeper the surface slope gradient as proportionally (%) higher is the runoff contribution into the water balance. When compared with the small catchments, the soil profiles at drainage fields might store more water after the subsurface drainage runoff is running short. Consequently, the small catchments might experience the later response of subsurface drainage runoff after the dry seasons.

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Section: Site Descriptionmentioning

confidence: 99%

The impact of regional and catchment characteristics on long-term runoff in small agricultural catchments in Latvia

Veinbergs

Lagzdiņš

2022

Water Practice and Technology

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“…By the analysis of the simulation results, to study the impacts of future urbanization on regional climate change. In literature [3], the author analyzes the impact of climate change on the annual variation of shallow groundwater levels in Latvia. The long-term annual regime of shallow groundwater levels is analysed in two different time periods according to the dominance of continental and oceanic air masses in Latvia [3].…”

Section: Introductionmentioning

confidence: 99%

“…In literature [3], the author analyzes the impact of climate change on the annual variation of shallow groundwater levels in Latvia. The long-term annual regime of shallow groundwater levels is analysed in two different time periods according to the dominance of continental and oceanic air masses in Latvia [3]. This paper constructs a fragile index evaluation model to determine the fragility of different countries and measure the impacts of Climate Change.…”

Section: Introductionmentioning

confidence: 99%

The Impacts of Climate Change on Regional Instability

Li¹

2018

ACM

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The effects of Climate Change may have the potential to cause the weakening and breakdown of social and governmental structures. In this paper, we construct a fragile index evaluation model to determine the fragility of different countries and measure the impacts of Climate Change. In the first part, by selecting 10 indicators on economic, political, social and national cohesion, we establish a fragile index evaluation model. Applying the calculation method of each indicator value and the Grey slope correlation model, we determine the weight of each indicator and obtain the fragile indicator value. Then we set up the five-level standards of fragility and determine the destructive levels of equally destructive climate disasters in different countries of fragility. In the second part, we study the fragility of Somalia. Based on the fragile index evaluation model, we obtain that Somalia is at a severe fragility level. Then, by analyzing the impact of the drought on the fragile index of Somalia, we obtain that the meteorological drought would cause ecological drought, hydrological arid and agricultural drought, moreover it would lead to food scarcity, environmental degradation and increased conflict, thus contributing to the increasing of the fragile index on Somalia. In the third part, we study the fragility of Cuba. According to the fragile index evaluation model, we conclude that Cuba is at a relatively stable level. By analyzing the historical data of the North Atlantic hurricane, we obtain that with the rising frequency of hurricanes and floods in the Caribbean would push up fragile index of Cuba. We also estimate that fragile degree of Cuba is likely to shift from a relatively stable level to a relatively fragile level within 30 years. In the fourth part, simulation with Global Mapper shows that the sea level rise of 1.5 meters would inundate most of Maldives territory, threatening the stability of the country seriously. While constructing the artificial island is a feasibility intervention to mitigate the threat. According to the economic situation of the country, we propose the phased construction plan with an estimated cost of 3-4 billion dollars. Finally, we test the sensitivity of model. The result shows this model is sensitive to the indicator values but insensitive to indicator weights. In order to adapt to the assessment of large area and small area, we propose the expansion of evaluation index and the optimization plan of weight distribution.

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“…; Lauva et al. ), while others use indices that include temperature and precipitation elements (Jensen et al. ; Botta‐Dukát et al.…”

Section: Introductionmentioning

confidence: 99%

Revising Ellenberg's indicator values for continentality based on global vascular plant species distribution

Berg

Welk

Jäger

2017

Applied Vegetation Science

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Abbreviations alp = alpine belt; antarct = antarctic zone; arct = arctic zone; austr = austral zone; austrostrop = austrosubtropic zone; b = boreal zone; boreostrop = boreosubtropic zone; C-value = continentality value, the new indicator value for continentality; EIV-K = Ellenberg's indicator values for continentality; EIV-T = Ellenberg's indicator values for temperature; euoz = euoceanic; k = continental; m = meridional zone; mo/demo = montane/demontane altitudinal belt; niv = nival belt; oz = oceanic; salp/dealp = sub-alpine/de-alpine belt; sm = submeridional zone; subk = subcontinental; suboz = suboceanic; temp = temperate zone, divided into south (s-temp) and north temperate (n-temp); trop = tropic zone. AbstractQuestions: Misunderstandings and methodological inconsistencies have hampered the applicability of Ellenberg's biogeographic indicator values for continentality. To redefine the indicator values we focused on the following questions:(1) what is meant by phytogeographic continentality as the basic principle behind Ellenberg's indicator values for continentality; (2) can we redefine the continentality indicator values based on an assessment protocol rendering the values more reproducible; and (3) what are the differences between Ellenberg's indicator values for continentality and the redefined ones as a statistical data set, and in application?Location: Northern Hemisphere, Central Europe. Methods:Biogeographic indicator values are based on global species distribution data. Species' distribution information is converted to standardized range formulas that combine information on occurrence across floristic zones, altitudinal preferences and the distribution within the oceanity-continentality gradient. Improved and revised range formulas are converted to new indicator values for continentality (C-value) using simple algorithms. Results: New indicator values for continentality (C-values) and amplitudes for 2984 taxa of Central European vascular plants are presented. The main improvement is the application of a comprehensible assessment protocol. The new C-value gained a more balanced frequency distribution, rendering it more useful for broad-scale biogeographic analysis.Conclusions: For the first time, biogeographic indicator values derived with a consistent method that is based on distribution data are presented. Occurrence information and vegetation data are becoming increasingly available globally, while changing climatic conditions inevitably accelerate species range dynamics, and therefore the application of biogeographic indicator values will increase.

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The impact of climate change on the annual variation of shallow groundwater levels in Latvia

Cited by 3 publications

References 6 publications

The impact of regional and catchment characteristics on long-term runoff in small agricultural catchments in Latvia

The impact of regional and catchment characteristics on long-term runoff in small agricultural catchments in Latvia

The Impacts of Climate Change on Regional Instability

Revising Ellenberg's indicator values for continentality based on global vascular plant species distribution

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