scholarly journals Water temperature in the lakes of Northern Poland during the bathing season

2018 ◽  
Vol 15 (1) ◽  
pp. 75-90 ◽  
Author(s):  
Rajmund Skowron
Keyword(s):  
Surface Water ◽  
Water Temperature ◽  
Catchment Area ◽  
Littoral Zone ◽  
Surface Water Temperature ◽  
The Baltic Sea ◽  
The Mean ◽  
The Baltic ◽  
June July ◽  
Favorable Conditions

Abstract The study presents characteristics of the bathing season on the basis of stationary daily measurements of surface water temperature in the lakes in the period 1971-2015 conducted by the Institute of Meteorology and Water Management. These measurements were taken in the littoral zone (from bridges) of 28 lakes at 7:00 (6:00 GMT). In order to determine representativeness of these measurements, the author also documents the comparison of water temperature with its values at various points of the lake and its daily course. Stationary surface water temperature measurements provided the basis for the characteristics of the average, the earliest and the latest dates of the beginning and end of the bathing seasons, their duration and mean water temperatures in the summer months. Hence, a new parameter (tsum) is introduced to define the mean surface water temperature for the summer months (June, July and August), and compare water temperature in lakes over a larger area (the Baltic Sea catchment area). The most favorable conditions for bathing in Polish lakes are found in the western part of the Wielkopolskie Lakeland (lakelands: Łagowskie, Poznańskie, Sławskie) from the beginning of July to the end of August, when the surface water temperature in lakes generally exceeds 18°C. Furthermore, the best conditions for bathing in the water are from 10:00 to 18:00. When choosing a place to relax, holidaymakers should also consider bathing locations, infrastructure and safety conditions.

Mercury fractionation in sediments of the Lower Vistula River (Poland)

2007 ◽  
Vol 36 (3) ◽  
Author(s):  
Leonard Boszke ◽  
Artur Kowalski
Keyword(s):  
Baltic Sea ◽  
Catchment Area ◽  
Total Mercury ◽  
The Baltic Sea ◽  
Vistula River ◽  
Mercury Fractionation ◽  
Flow Through ◽  
The Mean ◽  
The Baltic ◽  
Mean Concentration

Mercury fractionation in sediments of the Lower Vistula River (Poland)The Vistula is the second largest river in the Baltic Sea catchment area and provides one of the main inputs to the Baltic. The river and its tributaries flow through some of the major industrialized and urbanised regions of Poland, making it one of the most highly human-impacted rivers in Europe. Although the river status is monitored routinely, little is known about mercury forms in the sediments. This study examines mercury fractionation in the sediments of the lower part of the Vistula River. The results show that the cities along this stretch of river have a relatively low impact on both the mercury forms found in the sediment and its bioavailability in the floodplain soils. The mean concentration of total mercury in the sediments was 65 ± 14 ng g

Physicochemical features of Wadi Al-Arab Dam (reservoir), Jordan

2010 ◽  
Vol 39 (4) ◽  
Author(s):  
Ismail Saadoun ◽  
Erwah Batayneh ◽  
Adil Alhandal ◽  
Muna Hindieh
Keyword(s):  
Surface Water ◽  
Water Temperature ◽  
Surface Water Temperature ◽  
Dam Reservoir ◽  
Surface Ph ◽  
Mean Temperature ◽  
Physicochemical Features ◽  
The Mean ◽  
Chemical Conditions ◽  
Physical And Chemical

Physicochemical features of Wadi Al-Arab Dam (reservoir), JordanVariations in physical and chemical conditions were investigated at Wadi Al-Arab Dam Reservoir (Jordan). Mean surface water temperature was 22.5°C and two distinctive temperature layers, epilimnion (down to 15 m, mean temperature 28.6°C) and hypolimnion (down to 35 m, mean temperature 21.1°C) were recognized in May. Minimum water transparency was recorded at 32 cm in July and maximum at 135 cm in August. The mean surface pH (8.0) and salinity (1.54 mg l

scholarly journals Baseline Water Temperature: Estimation of the Annual Cycle of Surface Water Temperature in Lakes in North-Central Poland over the 1951–1968 Period

Water ◽  
2020 ◽  
Vol 12 (12) ◽  
pp. 3574
Author(s):  
Andrzej Hutorowicz
Keyword(s):  
Surface Water ◽  
Water Temperature ◽  
Surface Water Temperature ◽  
Average Water Temperature ◽  
Temperature Estimation ◽  
Average Temperature ◽  
Water Temperature Data ◽  
Peak Function ◽  
Average Water ◽  
June July

Water temperature is an important ecological variable that affects the functioning of lakes. Unfortunately, for many lakes there are no long-term observations enabling the assessment of changes in water temperatures. This makes it difficult to include this aspect in research into the biology, ecology and chemistry of such lakes. This paper presents a literature review related to changes of surface water temperatures in lakes and in particular describing the response of water temperatures and stratification to changing climate in Polish lakes. On this basis, a model based on the available data on water temperature in 931 Polish lakes in the years 1951–1968 was proposed, which allows to estimate the baseline water temperature on any day of the year. This model is calculated using the complementary error peak function on the 0–3 m water temperature dataset, which provides the best reduction of diurnal temperature fluctuations. It can be an alternative to the average temperature of surface waters, which are calculated on the basis of systematically collected data. Based on the average water temperature data obtained from 56 thermal profiles in 10 lakes in 2010–2019, the equation was analogically calculated. The average monthly water temperatures in June, July, August and September and the change in water temperature (0.24–0.30 °C decade−1) in the period 1951–1968/2010–2019 were estimated then. Similar regional or single lake trends have been found in studies by other authors covering a similar or longer period of time. The proposed method, which is suitable for simulating temperatures, especially in summer, enables the determination of the value of changes in surface water temperature in Polish lakes when only thermal profiles data from different dates are available, which can be especially helpful when analyzing hydrobiological results.

scholarly journals Long-term variability of water temperature and salinity at the Polish coast

2019 ◽  
Vol 16 (1) ◽  
pp. 115-130
Author(s):  
Małgorzata Świątek
Keyword(s):  
Surface Water ◽  
Water Temperature ◽  
Sea Water ◽  
Water Salinity ◽  
Surface Water Temperature ◽  
Annual Series ◽  
Baltic Coast ◽  
Annual Water ◽  
The Baltic

Abstract The variability of surface water temperature and water salinity at the south coast of the Baltic in the years 1950–2015 was studied in the article. To that aim, monthly surface water temperature values in Świnoujście, Międzyzdroje, Kołobrzeg (from 1957), Władysławowo, Hel and Gdynia were used, as well as monthly water salinity values in Międzyzdroje, Władysławowo, Hel and Gdynia, all obtained from IMGW-PIB (Institute of Meteorology and Water Management – National Research Institute). Linear regression and Pearson’s simple correlation coefficient of individual monthly, seasonal and annual series of temperature and salinity values over time (in subsequent years) were used to analyse the temporal changes of the examined parameters. In the analysed period a rise in the annual water temperature was recorded in Międzyzdroje, Władysławowo, Hel and Gdynia, while the extent of the changes increased towards the east. There were also positive trends in temperature values in individual months. At the same time, there was a decrease in water salinity, which was also found to be most distinct in the eastern part of the coast. In Władysławowo, Hel and Gdynia, statistically significant drops occurred in nearly all months. During the months featuring statistically insignificant trends, the observed change trends were also negative. Concurrent water temperature increases and water salinity decreases consequently caused a decline in sea water surface density at the Polish Baltic coast.

scholarly journals Dynamics of the daily course of water temperature in Polish lakes

2016 ◽  
Vol 31 (1) ◽  
pp. 149-156 ◽  
Author(s):  
Rajmund Skowron ◽  
Adam Piasecki
Keyword(s):  
Surface Water ◽  
Vertical Distribution ◽  
Water Temperature ◽  
Experimental Measurements ◽  
Surface Water Temperature ◽  
Short Term ◽  
Yearly Cycle ◽  
The Mean ◽  
The Vertical Distribution ◽  
Daily Changes

AbstractThe study focuses on short-term changes in surface water temperature in Polish lakes, and is based upon the experimental measurements of water temperature conducted every 60 minutes during the years 1971–2015. 19 lakes were selected on the grounds of their morphometric properties. The examinations were carried out in the system of expeditionary measurements (up to 8 days) and stationary measurements (over 2 months), and included temperature of surface water and its vertical distribution. The analysis of the results showed that temperature differences of water (daily amplitudes) were observed in both time and spatial distribution. The biggest differences in water temperature occurred during spring warming, and often reached 4–5°C, while rarely exceed 2°C in the remaining periods of the yearly cycle. The mean day value occurs twice; in the morning between 8:00 (7:00 GMT) and 11:00 (10:00 GMT), and in the evening at 20:00 (19:00 GMT) and 22:00 (21:00 GMT). Daily changes in the vertical distribution of water temperature are clearly visible down to the depth of 2.5–3.5 m, whereas are just perceptible to the depth of 5.5–7.0 m.

scholarly journals Surface Water Temperature Predictions at a Mid-Latitude Reservoir under Long-Term Climate Change Impacts Using a Deep Neural Network Coupled with a Transfer Learning Approach

Water ◽  
2021 ◽  
Vol 13 (8) ◽  
pp. 1109
Author(s):  
Nobuaki Kimura ◽  
Kei Ishida ◽  
Daichi Baba
Keyword(s):  
Climate Change ◽  
Surface Water ◽  
Water Temperature ◽  
Transfer Learning ◽  
Air Temperature ◽  
Climate Models ◽  
Temporal Variations ◽  
Training Data ◽  
Surface Water Temperature

Long-term climate change may strongly affect the aquatic environment in mid-latitude water resources. In particular, it can be demonstrated that temporal variations in surface water temperature in a reservoir have strong responses to air temperature. We adopted deep neural networks (DNNs) to understand the long-term relationships between air temperature and surface water temperature, because DNNs can easily deal with nonlinear data, including uncertainties, that are obtained in complicated climate and aquatic systems. In general, DNNs cannot appropriately predict unexperienced data (i.e., out-of-range training data), such as future water temperature. To improve this limitation, our idea is to introduce a transfer learning (TL) approach. The observed data were used to train a DNN-based model. Continuous data (i.e., air temperature) ranging over 150 years to pre-training to climate change, which were obtained from climate models and include a downscaling model, were used to predict past and future surface water temperatures in the reservoir. The results showed that the DNN-based model with the TL approach was able to approximately predict based on the difference between past and future air temperatures. The model suggested that the occurrences in the highest water temperature increased, and the occurrences in the lowest water temperature decreased in the future predictions.

Impact of climate warming on the surface water temperature of plateau lake

2021 ◽  
Author(s):  
Zongqi Peng ◽  
Jiaying Yang ◽  
Yi Luo ◽  
Kun Yang ◽  
Chunxue Shang
Keyword(s):  
Surface Water ◽  
Water Temperature ◽  
Climate Warming ◽  
Surface Water Temperature ◽  
Plateau Lake
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