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Dr. Mariusz Ptak
Department Hydrology & Water Management, Adam Mickiewicz University, Poznan, Poland

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0 Climate Change
0 Water Quality
0 Water Resources
0 Water Level
0 Ice cover

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Water temperature
Ice cover
Water Level
Climate Change
Water Resources
Water Quality
Lake disappearance

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Journal article
Published: 29 June 2021 in Sustainability
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The historical effects of land development on water management currently require a new approach, in many cases involving attempts at the restoration of the quasi-natural state. This is evident in reference to many regions in Poland, where the hydrographic network has been diminishing over the centuries, among others in favour of obtaining new agricultural land. Such activities overlap with natural processes causing transformations of the hydrosphere. The most serious problems currently include water deficits resulting from climate change and human activity. This paper employed archival bathymetric maps from the beginning of the 20th century for the determination of the scale of changes in the morphometric parameters of six lakes in western Poland. It was determined that over a period of more than a hundred years, the surface area (12.2%) and original volume of water bodies (13.9%) were largely reduced. This situation was caused by both natural (overgrowing and shallowing) and anthropogenic (change in water level) factors. The obtained information points to the need of an inventory of historical bathymetric maps of lakes. In combination with modern research, this will allow for the determination of changes in the water resources of lakes and, in a longer-term perspective, potential possibilities of their renaturisation. This knowledge is important in the context of the reconstruction of water resources in the territory of Poland, where their deficits are recorded increasingly frequently. It should also be emphasised that the restoration of the natural capacity of water retention in lakes is a more economical solution and, most importantly, it is not invasive for the environment.

ACS Style

Mariusz Ptak; Adam Choiński; Mariusz Sojka; Senlin Zhu. Changes in the Water Resources of Selected Lakes in Poland in the Period 1916–2020 as Information to Increase Their Availability. Sustainability 2021, 13, 7298 .

AMA Style

Mariusz Ptak, Adam Choiński, Mariusz Sojka, Senlin Zhu. Changes in the Water Resources of Selected Lakes in Poland in the Period 1916–2020 as Information to Increase Their Availability. Sustainability. 2021; 13 (13):7298.

Chicago/Turabian Style

Mariusz Ptak; Adam Choiński; Mariusz Sojka; Senlin Zhu. 2021. "Changes in the Water Resources of Selected Lakes in Poland in the Period 1916–2020 as Information to Increase Their Availability." Sustainability 13, no. 13: 7298.

Research article
Published: 26 April 2021 in Hydrological Sciences Journal
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The study presents changes in the elements of the hydrological regime of Lake Hańcza in the period 1960–2019, including water temperature, ice cover characteristics and water level. It was determined that statistically significant changes resulted in an increase in water temperature (0.11°C·dec−1), a decrease in maximum ice thickness (5 cm·dec−1) and an increase in water levels (6.7 cm·dec−1). Changes in water temperature and ice cover in the analysed case are different from those in other lakes of the region. As the tests conducted in this study and in previous research have shown, the lake has resisted global warming for a relatively long time, and the change in thermal conditions occurred a decade later than in other lakes in this part of Europe. The analysed case leads to the conclusion that the morphometric features of lakes significantly modify the influence of overriding factors, such as climate conditions.

ACS Style

Mariusz Ptak; Mariusz Sojka. Different responses to climate change of the hydrological regime of Lake Hańcza, the deepest lake in the Central European Plain. Hydrological Sciences Journal 2021, 66, 1083 -1095.

AMA Style

Mariusz Ptak, Mariusz Sojka. Different responses to climate change of the hydrological regime of Lake Hańcza, the deepest lake in the Central European Plain. Hydrological Sciences Journal. 2021; 66 (6):1083-1095.

Chicago/Turabian Style

Mariusz Ptak; Mariusz Sojka. 2021. "Different responses to climate change of the hydrological regime of Lake Hańcza, the deepest lake in the Central European Plain." Hydrological Sciences Journal 66, no. 6: 1083-1095.

Journal article
Published: 15 April 2021 in Atmosphere
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The paper presents long-term changes in water temperature in two rivers, Oder and Neman, with catchments showing different climatic conditions (with dominance of marine climate in the case of the Oder and continental climate in the case of the Neman River). A statistically significant increase in mean annual water temperature was recorded for four observation stations, ranging from 0.17 to 0.39 °C dec−1. At the seasonal scale, for the winter half-year, water temperature increase varied from 0.17 to 0.26 °C dec−1, and for the summer half-year from 0.17 to 0.50 °C dec−1. In three cases (Odra-Brzeg, Odra-Słubice, Niemen-Grodno), the recorded changes referred to the scale of changes in air temperature. For the fourth station on Neman (Smalininkai), an increase in water temperature in the river was considerably slower than air temperature increase. It should be associated with the substantial role of local conditions (non-climatic) affecting the thermal regime in that profile. Short-term forecast of changes in water temperature showed its further successive increase, a situation unfavorable for the functioning of these ecosystems.

ACS Style

Adam Choiński; Mariusz Ptak; Alexander Volchak; Ivan Kirvel; Gintaras Valiuškevičius; Sergey Parfomuk; Pavel Kirvel; Svetlana Sidak. Effect of Air Temperature Increase on Changes in Thermal Regime of the Oder and Neman Rivers Flowing into the Baltic Sea. Atmosphere 2021, 12, 498 .

AMA Style

Adam Choiński, Mariusz Ptak, Alexander Volchak, Ivan Kirvel, Gintaras Valiuškevičius, Sergey Parfomuk, Pavel Kirvel, Svetlana Sidak. Effect of Air Temperature Increase on Changes in Thermal Regime of the Oder and Neman Rivers Flowing into the Baltic Sea. Atmosphere. 2021; 12 (4):498.

Chicago/Turabian Style

Adam Choiński; Mariusz Ptak; Alexander Volchak; Ivan Kirvel; Gintaras Valiuškevičius; Sergey Parfomuk; Pavel Kirvel; Svetlana Sidak. 2021. "Effect of Air Temperature Increase on Changes in Thermal Regime of the Oder and Neman Rivers Flowing into the Baltic Sea." Atmosphere 12, no. 4: 498.

Journal article
Published: 18 March 2021 in Journal of Hydrology
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The air2water model is a widely used tool for the forecasting of lake water temperatures and projection of climate change. It has been applied in thousands of lakes worldwide. However, it employed the Particle Swarm Optimization (PSO) as the calibration method, which was proposed more than 20 years ago. In this study, 12 advanced optimization algorithms proposed during the recent few years were implemented to calibrate and validate the air2water model. Daily observed water temperature in temperate lakes (22 lowland lakes in Poland) were used to evaluate the model performance. Each optimizer was run 30 times with 3 different settings of the maximum number of function calls, 5000, 20,000, and 100,000. We have found that the PSO method used in the original air2water model performs relatively poor compared with most of the recent algorithms, and the majority of recently proposed algorithms reach the similar best solutions on many lakes when the highest number of function calls is allowed. However, only the HARD-DE (hierarchical archive-based mutation strategy with depth information of differential evolution) algorithm is never outperformed by any competitor, irrespective which lake and maximum number of function calls is considered. As a result, we highly recommend using HARD-DE as the calibration method for the air2water model in the future studies.

ACS Style

Senlin Zhu; Adam P. Piotrowski; Mariusz Ptak; Jaroslaw J. Napiorkowski; Jiangyu Dai; Qingfeng Ji. How does the calibration method impact the performance of the air2water model for the forecasting of lake surface water temperatures? Journal of Hydrology 2021, 597, 126219 .

AMA Style

Senlin Zhu, Adam P. Piotrowski, Mariusz Ptak, Jaroslaw J. Napiorkowski, Jiangyu Dai, Qingfeng Ji. How does the calibration method impact the performance of the air2water model for the forecasting of lake surface water temperatures? Journal of Hydrology. 2021; 597 ():126219.

Chicago/Turabian Style

Senlin Zhu; Adam P. Piotrowski; Mariusz Ptak; Jaroslaw J. Napiorkowski; Jiangyu Dai; Qingfeng Ji. 2021. "How does the calibration method impact the performance of the air2water model for the forecasting of lake surface water temperatures?" Journal of Hydrology 597, no. : 126219.

Regular paper
Published: 13 March 2021 in The Geographical Journal
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The paper presents changes in the ice regime of lakes located in northern part of Poland. It was established that in the period of 1960‐2019, there was a successive decline of the lakes ice extent, clearly visible in individual parameters; formation of the ice cover is delayed by 3.0 days∙dec‐1 (on average for all lakes), its decline occurred earlier by 3.8 day·dec‐1, and the length of the ice cover is shorter by 6.8 day·dec‐1. Moreover, the maximum thickness of the ice cover is becoming thinner, and this process has progressed at an average rate of 2.3 cm∙dec‐1. The aforementioned situation shows strong relations with air temperature. It is particularly evident in the late 1980s, when a change in the thermal regime took place, which was documented in most of the analysed parameters, as demonstrated in the study. It was established that from that period up to now, the decline of the ice cover tend to start 19 days earlier, the duration of the ice cover is shorter by 22 days, and the ice cover is 8 cm thinner, on average. The observed transformation affects the imbalance of the existing equilibrium in the lakes, which can be related to both biotic and abiotic processes.

ACS Style

Mariusz Ptak; Mariusz Sojka. The disappearance of ice cover on temperate lakes (Central Europe) as a result of climate warming. The Geographical Journal 2021, 187, 200 -213.

AMA Style

Mariusz Ptak, Mariusz Sojka. The disappearance of ice cover on temperate lakes (Central Europe) as a result of climate warming. The Geographical Journal. 2021; 187 (3):200-213.

Chicago/Turabian Style

Mariusz Ptak; Mariusz Sojka. 2021. "The disappearance of ice cover on temperate lakes (Central Europe) as a result of climate warming." The Geographical Journal 187, no. 3: 200-213.

Journal article
Published: 15 February 2021 in Journal of Hydrology: Regional Studies
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The study region comprises 25 lowland Polish lakes in the northern part of the country. The studied lakes provide domestic, industrial and agricultural water supply, and are major attractions for tourism, thus playing a significant role in the Polish economy. The expected impact of future climate change on lake surface water temperature (LSWT) was predicted using the air2water model, which relies solely on daily air temperature (AT) as model input. LSWT and AT observations for the period 1987–2016 were used for model calibration and validation. Then, historical (1987–2005) and future (2006–2100) AT time series from nine EURO-CORDEX climate models were used to project future LSWT under emission scenarios RCP4.5 and RCP8.5. The results showed that air2water can well reproduce daily LWST with root mean square errors lower than 1 °C on average. The warming trends of both AT and LSWT are expected to be lower than those observed in the past decades (after the 1980s), and ice cover and weak stratification conditions are expected to partially buffer the LSWT response to the high AT warming expected in future winters. However, the overall enduring warming will substantially alter future thermal dynamics, leading to a shortening of ice cover and inverse stratification periods, possibly leading to serious consequences for lake water quality and ecosystem health.

ACS Style

Sebastiano Piccolroaz; Senlin Zhu; Mariusz Ptak; Mariusz Sojka; Xinzhong Du. Warming of lowland Polish lakes under future climate change scenarios and consequences for ice cover and mixing dynamics. Journal of Hydrology: Regional Studies 2021, 34, 100780 .

AMA Style

Sebastiano Piccolroaz, Senlin Zhu, Mariusz Ptak, Mariusz Sojka, Xinzhong Du. Warming of lowland Polish lakes under future climate change scenarios and consequences for ice cover and mixing dynamics. Journal of Hydrology: Regional Studies. 2021; 34 ():100780.

Chicago/Turabian Style

Sebastiano Piccolroaz; Senlin Zhu; Mariusz Ptak; Mariusz Sojka; Xinzhong Du. 2021. "Warming of lowland Polish lakes under future climate change scenarios and consequences for ice cover and mixing dynamics." Journal of Hydrology: Regional Studies 34, no. : 100780.

Journal article
Published: 08 January 2021 in Scientific Reports
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The objective of this study was to analyse spatial variability of the trace elements (TEs) and rare earth elements (REEs) concentration in lake bottom sediments in Bory Tucholskie National Park (BTNP); Poland. The following research questions were posed: which factors have a fundamental impact on the concentration and spatial variability of elements in bottom sediments, which of the elements can be considered as indicators of natural processes and which are related to anthropogenic sources. The research material was sediments samples collected from 19 lakes. The concentrations of 24 TEs and 14 REEs were determined. The analyses were carried out using the inductively coupled plasma mass spectrometry (ICP-QQQ). Cluster analysis and principal component analysis were used to determine the spatial variability of the TEs and REEs concentrations, indicate the elements that are the indicators of natural processes and identify potential anthropogenic sources of pollution. The geochemical background value (GBV) calculations were made using 13 different statistical methods. However, the contamination of bottom sediments was evaluated by means of the index of geo-accumulation, the enrichment factor, the pollution load index, and the metal pollution index. The BTNP area is unique because of its isolation from the inflow of pollutants from anthropogenic sources and a very stable land use structure over the last 200 years. This study shows high variability of TE and REE concentrations in lake sediments. The values of geochemical indices suggest low pollution of lakes bottom sediments. It was found that TEs originated mainly from geogenic sources. However, the concentrations of Li, Ni, Sc, Se, Be, Se, Ag, Re, Tl, Cd, Sb and U may be related to the impact of point sources found mainly in the Ostrowite Lake. Almost all REEs concentrations were strongly correlated and their presence was linked to with geochemical processes. The elements allowing to identify natural processes and anthropogenic pollution sources were Cr, Co, Cu, Ag, Cd, Zn, Bi, Re, Ba, Al and Rb in TEs group and Nd, Gd, Yb, Lu, Eu, Dy and Ce in REEs group. The analysis shows high spatial variability of TE and REE concentrations in lake sediments. The values of geochemical indices point to low pollution of lakes sediments. The anthropogenic sources only for two lakes had an impact on concentrations of selected TEs and REEs. The analyses allowed to identify elements among TEs and REEs documenting geochemical processes and those indicating anthropogenic sources of pollution.

ACS Style

Mariusz Sojka; Adam Choiński; Mariusz Ptak; Marcin Siepak. Causes of variations of trace and rare earth elements concentration in lakes bottom sediments in the Bory Tucholskie National Park, Poland. Scientific Reports 2021, 11, 1 -18.

AMA Style

Mariusz Sojka, Adam Choiński, Mariusz Ptak, Marcin Siepak. Causes of variations of trace and rare earth elements concentration in lakes bottom sediments in the Bory Tucholskie National Park, Poland. Scientific Reports. 2021; 11 (1):1-18.

Chicago/Turabian Style

Mariusz Sojka; Adam Choiński; Mariusz Ptak; Marcin Siepak. 2021. "Causes of variations of trace and rare earth elements concentration in lakes bottom sediments in the Bory Tucholskie National Park, Poland." Scientific Reports 11, no. 1: 1-18.

Journal article
Published: 04 November 2020 in Journal of Hydrology
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Northern Hemisphere lakes are losing their ice cover due to climate change. Here we explored six decades of observational data (1961–2017) showing trends in air temperature, wind speed and precipitation over northern Poland, as well as changes in the ice conditions for five lakes with different morphometry. We evaluated whether and to what extent climatic effects, including atmospheric warming, changing wind speed and rainfall during fall and winter, influence ice conditions in morphometrically different lakes in Northern Poland. Our analysis demonstrated that ice cover duration and thickness decreased at rates of 5.4 days decade−1 and 2.5 cm decade−1, respectively. Ice conditions were influenced (65–75%) by the direct effects of air temperature change and to some extent by an interaction of warming with wind speed and precipitation (5–10%). While stronger autumnal winds result in longer ice cover duration, the effect of precipitation is bimodal with either an enhancement of ice formation by autumnal rain or accelerated ice loss during spring. To project future changes in ice conditions, we used a 1D hydrodynamic lake model forced with four climate model projections under low, medium and high Representative Concentration Pathway (RCP) scenarios. Our simulations demonstrate that current ice conditions will stabilize under the low emission scenario (RCP 2.6) but decrease under both the medium and high emission scenarios (RCP 6.0 and 8.5). During the 21st century, the lakes are projected to lose their ice at a rate between 4.5- and 10-days decade−1 and ice thickness will decrease by between 3.0 and 5.0 cm decade−1. The rate of change will be greater in smaller rather than larger lakes and more so for those situated further inland. The probability of ice-free winters will increase for all lakes and among all future scenarios by between 4 and 69% with the highest potential frequency of ice-free winters in smaller and deeper but relatively wind-exposed lakes.

ACS Style

Maciej Bartosiewicz; Mariusz Ptak; R. Iestyn Woolway; Mariusz Sojka. On thinning ice: Effects of atmospheric warming, changes in wind speed and rainfall on ice conditions in temperate lakes (Northern Poland). Journal of Hydrology 2020, 597, 125724 .

AMA Style

Maciej Bartosiewicz, Mariusz Ptak, R. Iestyn Woolway, Mariusz Sojka. On thinning ice: Effects of atmospheric warming, changes in wind speed and rainfall on ice conditions in temperate lakes (Northern Poland). Journal of Hydrology. 2020; 597 ():125724.

Chicago/Turabian Style

Maciej Bartosiewicz; Mariusz Ptak; R. Iestyn Woolway; Mariusz Sojka. 2020. "On thinning ice: Effects of atmospheric warming, changes in wind speed and rainfall on ice conditions in temperate lakes (Northern Poland)." Journal of Hydrology 597, no. : 125724.

Review
Published: 25 September 2020 in Environmental Science and Pollution Research
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Lake water-level fluctuation is a complex and dynamic process, characterized by high stochasticity and nonlinearity, and difficult to model and forecast. In recent years, applications of machine learning (ML) models have yielded substantial progress in forecasting lake water-level fluctuations. This paper presents a comprehensive review of the applications of ML models for modeling water-level dynamics in lakes. Among the many existing ML models, seven popular ML model types are reviewed: (1) artificial neural network (ANN); (2) support vector machine (SVM); (3) artificial neuro-fuzzy inference system (ANFIS); (4) hybrid models, such as hybrid wavelet-artificial neural network (WA-ANN) model, hybrid wavelet-artificial neuro-fuzzy inference system (WA-ANFIS) model, and hybrid wavelet-support vector machine (WA-SVM) model; (5) evolutionary models, such as gene expression programming (GEP) and genetic programming (GP); (6) extreme learning machine (ELM); and (7) deep learning (DL). Model inputs, data split, model performance criteria, and model inter-comparison as well as the associated issues are discussed. The advantages and limitations of the established ML models are also discussed. Some specific directions for future research are also offered. This review provides a new vision for hydrologists and water resources planners for sustainable management of lakes.

ACS Style

Senlin Zhu; Hongfang Lu; Mariusz Ptak; Jiangyu Dai; Qingfeng Ji. Lake water-level fluctuation forecasting using machine learning models: a systematic review. Environmental Science and Pollution Research 2020, 27, 44807 -44819.

AMA Style

Senlin Zhu, Hongfang Lu, Mariusz Ptak, Jiangyu Dai, Qingfeng Ji. Lake water-level fluctuation forecasting using machine learning models: a systematic review. Environmental Science and Pollution Research. 2020; 27 (36):44807-44819.

Chicago/Turabian Style

Senlin Zhu; Hongfang Lu; Mariusz Ptak; Jiangyu Dai; Qingfeng Ji. 2020. "Lake water-level fluctuation forecasting using machine learning models: a systematic review." Environmental Science and Pollution Research 27, no. 36: 44807-44819.

Monograph
Published: 20 August 2020 in Skrypt do ćwiczeń z limnologii fizycznej
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Skrypt zawiera zagadnienia dotyczące procesów i zjawisk występujących w jeziorach w kontekście chemicznych i fizycznych właściwości wód jeziornych, dynamiki mas wodnych, uwarunkowań morfologiczno-geologicznych ich funkcjonowania.

ACS Style

Adam Choiński; Adam Mickiewicz University; Mariusz Ptak. Skrypt do ćwiczeń z limnologii fizycznej. Skrypt do ćwiczeń z limnologii fizycznej 2020, 1 .

AMA Style

Adam Choiński, Adam Mickiewicz University, Mariusz Ptak. Skrypt do ćwiczeń z limnologii fizycznej. Skrypt do ćwiczeń z limnologii fizycznej. 2020; ():1.

Chicago/Turabian Style

Adam Choiński; Adam Mickiewicz University; Mariusz Ptak. 2020. "Skrypt do ćwiczeń z limnologii fizycznej." Skrypt do ćwiczeń z limnologii fizycznej , no. : 1.

Journal article
Published: 10 August 2020 in Journal of Hydrology and Hydromechanics
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Lake Śniardwy is the largest among more than 7000 Polish lakes. So far, it has not been a subject of detailed investigations concerning long-term changes in water temperature or ice regime. A considerable change in thermal and ice conditions has been observed in the period 1972–2019. Mean annual water temperature increased by 0.44°C dec−1 on average, and was higher than an increase in air temperature (0.33°C dec−1). In the monthly cycle, the most dynamic changes occurred in April (0.77°C dec−1). In the case of ice cover, it appeared increasingly later (5.3 days dec−1), and disappeared earlier (3.0 days dec−1). The thickness of ice cover also decreased (2.4 cm dec−1). Statistical analysis by means of a Pettitt test showed that the critical moment for the transformations of the thermal and ice regime was the end of the 1980’s. In addition to the obvious relations with air temperature for both characteristics, it was evidenced that the occurrence of ice cover depended on wind speed and snow cover. The recorded changes in the case of Lake Śniardwy are considered unfavourable, and their consequences will affect the course of physical, chemical, and biological processes in the largest lake in Poland.

ACS Style

Mariusz Ptak; Mariusz Sojka; Bogumił Nowak. Effect of climate warming on a change in thermal and ice conditions in the largest lake in Poland – Lake Śniardwy. Journal of Hydrology and Hydromechanics 2020, 68, 260 -270.

AMA Style

Mariusz Ptak, Mariusz Sojka, Bogumił Nowak. Effect of climate warming on a change in thermal and ice conditions in the largest lake in Poland – Lake Śniardwy. Journal of Hydrology and Hydromechanics. 2020; 68 (3):260-270.

Chicago/Turabian Style

Mariusz Ptak; Mariusz Sojka; Bogumił Nowak. 2020. "Effect of climate warming on a change in thermal and ice conditions in the largest lake in Poland – Lake Śniardwy." Journal of Hydrology and Hydromechanics 68, no. 3: 260-270.

Short communication
Published: 03 June 2020 in Journal of Hydrology
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Prediction of rivers and lakes water temperature plays an important role in hydrology, ecology, and water resources planning and management. Recently, machines learning approaches have been widely used for modelling water temperature, and the obtained results vary depending on the kind of models and the selections of the appropriates predictors. In the present paper, a new family of machines learning are proposed and compared to the famous air2stream model, using a large data set collected at 25 lakes in the northern part of Poland. The proposed models were: (i) the extremely randomized trees (ERT), (ii) the multivariate adaptive regression splines (MARS), (iii) the M5 Model tree (M5Tree), (iv) the random forest (RF), and (v) the multilayer perceptron neural network (MLPNN). The models were developed using the air temperature as input variables and the component of the Gregorian calendar (year, month and day) number. Results obtained were evaluated using several statistical indices: the root mean square error (RMSE), the mean absolute error (MAE), correlation coefficient (R) and Nash-Sutcliffe efficiency coefficient (NSE). Obtained results reveals that the air2stream model outperformed all other machines learning models and worked best with high accuracy at all the 25 lakes, and none of the ERT, MARS, M5Tree, RF and MLPNN models was able to provides an improvement of the water temperature prediction compared to the air2stream.

ACS Style

Salim Heddam; Mariusz Ptak; Senlin Zhu. Modelling of daily lake surface water temperature from air temperature: Extremely randomized trees (ERT) versus Air2Water, MARS, M5Tree, RF and MLPNN. Journal of Hydrology 2020, 588, 125130 .

AMA Style

Salim Heddam, Mariusz Ptak, Senlin Zhu. Modelling of daily lake surface water temperature from air temperature: Extremely randomized trees (ERT) versus Air2Water, MARS, M5Tree, RF and MLPNN. Journal of Hydrology. 2020; 588 ():125130.

Chicago/Turabian Style

Salim Heddam; Mariusz Ptak; Senlin Zhu. 2020. "Modelling of daily lake surface water temperature from air temperature: Extremely randomized trees (ERT) versus Air2Water, MARS, M5Tree, RF and MLPNN." Journal of Hydrology 588, no. : 125130.

Journal article
Published: 01 June 2020 in Limnological Review
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The paper presents the applicability of LiDAR data in limnological research with respect to the identification of the shoreline of lakes, and consequently the scale of overgrowing of lakes. Data obtained from the Head Office of Geodesy and Cartography from the period 2011 2016 provided the basis for the identification of shorelines for 14 lakes of the Pomeranian Lakeland. The paper employs the orthophotomap for the determination of the range of lake vegetation. Using the line determined based on the orthophotomap and that determined based on LiDAR points, the zone of overgrowing of the analysed lakes was delineated. In all the analysed cases combined, the water surface area was found to be reduced in comparison to the shoreline identified through LiDAR scanning by 161.5 ha, suggesting a 21.2% share of vegetation in the surface area of lakes.

ACS Style

Mariusz Ptak; Adam Choiński; Aleksandra Pych; Jan Piekarczyk. Applicability of Airborne Laser Scanning in the Identification of Lake Shorelines. Limnological Review 2020, 20, 51 -58.

AMA Style

Mariusz Ptak, Adam Choiński, Aleksandra Pych, Jan Piekarczyk. Applicability of Airborne Laser Scanning in the Identification of Lake Shorelines. Limnological Review. 2020; 20 (2):51-58.

Chicago/Turabian Style

Mariusz Ptak; Adam Choiński; Aleksandra Pych; Jan Piekarczyk. 2020. "Applicability of Airborne Laser Scanning in the Identification of Lake Shorelines." Limnological Review 20, no. 2: 51-58.

Journal article
Published: 07 April 2020 in WASSERWIRTSCHAFT
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ACS Style

Mariusz Ptak; Mariusz Sojka; Bogumił Nowak; Tomasz Kałuża. Tendenzen der Veränderungen der Wassertemperatur von Seen in Nord-Ost-Polen. WASSERWIRTSCHAFT 2020, 110, 41 -45.

AMA Style

Mariusz Ptak, Mariusz Sojka, Bogumił Nowak, Tomasz Kałuża. Tendenzen der Veränderungen der Wassertemperatur von Seen in Nord-Ost-Polen. WASSERWIRTSCHAFT. 2020; 110 (4):41-45.

Chicago/Turabian Style

Mariusz Ptak; Mariusz Sojka; Bogumił Nowak; Tomasz Kałuża. 2020. "Tendenzen der Veränderungen der Wassertemperatur von Seen in Nord-Ost-Polen." WASSERWIRTSCHAFT 110, no. 4: 41-45.

Journal article
Published: 12 March 2020 in Journal of Hydrology
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Due to global climate change and growing population, fresh water resources are becoming more vulnerable to pollution. Protecting fresh water resources, especially lakes and the associated environment, is one of the key challenges faced by policy makers and water managers. Lake water level is an important physical indicator of lakes, and its fluctuation may significantly impact lake ecosystems. Therefore, reliable forecasting of lake water level is vital for a proper assessment of the health of lake ecosystems and their management. In this study, two machine learning models, including feed forward neural network (FFNN) and Deep Learning (DL) technique, were used to predict monthly lake water level. The two models were employed for one month ahead forecasting of lake water level in 69 temperate lakes in Poland. The results show that both the FFNN and the DL models performed generally well for forecasting of lake water level of the 69 lakes, with only marginal differences. The results also indicate that the DL model did not show significant superiority over the traditional FFNN model; indeed, the FFNN model slightly outperformed the DL model for 33 of the 69 lakes. These results seem to suggest that traditional machine learning models may just be sufficient for forecasting of lake water level when they are properly trained. The outcomes of the present study have important implications for water level forecasting and water resources management of lakes, especially from the perspective of machine learning models and their complexities.

ACS Style

Senlin Zhu; Bahrudin Hrnjica; Mariusz Ptak; Adam Choiński; Bellie Sivakumar. Forecasting of water level in multiple temperate lakes using machine learning models. Journal of Hydrology 2020, 585, 124819 .

AMA Style

Senlin Zhu, Bahrudin Hrnjica, Mariusz Ptak, Adam Choiński, Bellie Sivakumar. Forecasting of water level in multiple temperate lakes using machine learning models. Journal of Hydrology. 2020; 585 ():124819.

Chicago/Turabian Style

Senlin Zhu; Bahrudin Hrnjica; Mariusz Ptak; Adam Choiński; Bellie Sivakumar. 2020. "Forecasting of water level in multiple temperate lakes using machine learning models." Journal of Hydrology 585, no. : 124819.

Journal article
Published: 09 March 2020 in Journal of Hydrology
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Accurate water temperature forecasting in lake systems is important for environmental impact assessment and fisheries management, among others. In this study, two models are developed and applied for water temperature forecasting in lake systems: (1) the multi-layer perceptron neural network (MLPNN) model; and (2) the wavelet transform and MLPNN integrated model (WT_MLPNN). The models are applied to forecast daily lake surface water temperature (LSWT) of eight lowland Polish lakes. Long-term daily LSWT from eight lakes and daily air temperatures from seven meteorological stations are used for daily LSWT forecasting. The results from the two models are compared with those obtained from two other widely used models: the physically-statistically based hybrid air2water model and a non-linear regression model (S-curve). The modelling results show that the air2water model performs the best, followed by the WT_MLPNN, MLPNN, and the non-linear regression model. Overall, the air2water, WT_MLPNN, and MLPNN models reproduce well the seasonal and inter-annual variations of the LSWT dynamics in the eight lakes. The non-linear regression model, although providing the lowest accuracy, can still provide good preliminary estimates of the LSWT for the eight lakes. The outcomes of the present research can provide references for forecasting lake surface water temperature and sustainable management of lake ecosystems.

ACS Style

Senlin Zhu; Mariusz Ptak; Zaher Mundher Yaseen; Jiangyu Dai; Bellie Sivakumar. Forecasting surface water temperature in lakes: A comparison of approaches. Journal of Hydrology 2020, 585, 124809 .

AMA Style

Senlin Zhu, Mariusz Ptak, Zaher Mundher Yaseen, Jiangyu Dai, Bellie Sivakumar. Forecasting surface water temperature in lakes: A comparison of approaches. Journal of Hydrology. 2020; 585 ():124809.

Chicago/Turabian Style

Senlin Zhu; Mariusz Ptak; Zaher Mundher Yaseen; Jiangyu Dai; Bellie Sivakumar. 2020. "Forecasting surface water temperature in lakes: A comparison of approaches." Journal of Hydrology 585, no. : 124809.

Journal article
Published: 01 February 2020 in Water
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The paper presents the results of chemical analysis of lake waters in Bory Tucholskie National Park (BTNP). The BTNP area is unique due to its location within a single catchment and high variability in geological structure. Moreover, the lakes have different morphometric parameters, represent different hydrological types, trophic types and thermal regimes. Another unique feature is the existence of five lobelia lakes. This name comes from the Latin name of the taxon – Lobelia dortmanna L. which has been included in the Polish Red Data Book of Plants. The chemical analysis included 55 parameters, within macro elements (MEs), trace elements (TEs) and rare earth elements (REEs). Low concentrations of MEs, TEs and REEs confirm the absence of anthropogenic pressure. High variation of ME, TE and REE contents between individual lakes is due to different geological structure. The cluster analysis enabled lakes to be divided into six groups taking into account all analyzed water quality parameters. The lobelia lakes were characterized by the lowest concentrations of MEs and REEs, which mainly result from the small catchment area and their mainly endorheic character. The highest variability of MEs, TEs and REEs occurred in endorheic lakes, where the geological structure was dominant. The lowest variability of MEs, TEs and REEs occurred in the lakes connected by the Struga Siedmiu Jezior stream. The analysis of MEs, TEs and REEs in relation to the environmental factors and trophic, hydrologic and thermal typology allowed a better understanding of their spatial distribution in the BTNP lakes. The obtained results indicate that the values of the studied elements were generally close to the average values noted in surface waters according to the Geochemical Atlas of Europe.

ACS Style

Mariusz Sojka; Adam Choiński; Mariusz Ptak; Marcin Siepak. The Variability of Lake Water Chemistry in the Bory Tucholskie National Park (Northern Poland). Water 2020, 12, 394 .

AMA Style

Mariusz Sojka, Adam Choiński, Mariusz Ptak, Marcin Siepak. The Variability of Lake Water Chemistry in the Bory Tucholskie National Park (Northern Poland). Water. 2020; 12 (2):394.

Chicago/Turabian Style

Mariusz Sojka; Adam Choiński; Mariusz Ptak; Marcin Siepak. 2020. "The Variability of Lake Water Chemistry in the Bory Tucholskie National Park (Northern Poland)." Water 12, no. 2: 394.

Journal article
Published: 30 December 2019 in Meteorology Hydrology and Water Management
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Water temperature is one of the basic parameters of rivers and lakes. Its commonly observed increase contributes to the transformation of those ecosystems, and covers a broad range (water mixing, water quality, biological conditions, etc.). In the case of rivers, their thermal regime can be...

ACS Style

Bogumił Michał Nowak; Mariusz Ptak; Paulina Stanek. Influence of a lake on river water thermal regime – case study of Lake Sławianowskie and the Kocunia River (Pomeranian Lakeland, North Poland). Meteorology Hydrology and Water Management 2019, 1 .

AMA Style

Bogumił Michał Nowak, Mariusz Ptak, Paulina Stanek. Influence of a lake on river water thermal regime – case study of Lake Sławianowskie and the Kocunia River (Pomeranian Lakeland, North Poland). Meteorology Hydrology and Water Management. 2019; ():1.

Chicago/Turabian Style

Bogumił Michał Nowak; Mariusz Ptak; Paulina Stanek. 2019. "Influence of a lake on river water thermal regime – case study of Lake Sławianowskie and the Kocunia River (Pomeranian Lakeland, North Poland)." Meteorology Hydrology and Water Management , no. : 1.

Article
Published: 03 December 2019 in Environmental Monitoring and Assessment
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Lake surface water temperature (LSWT) is a key indicator which drives ecosystem structure and function. Quantifying the impact of climate change on LSWT variations is thus of great significance. In this study, observed data of LSWT during the period 1969–2018 in a high mountain lake (Morskie Oko Lake, Central Europe) were analyzed. The results showed that the prominent warming of the LSWT and air temperature began around 1997. A logistic non-linear S-curve function was used to model monthly average LSWT. The non-linear model performed well to capture monthly average LSWT and air temperature relationships (Nash-Sutcliffe efficiency coefficient 0.86 and the root mean squared error 1.63 °C). Using the 2009–2018 period as base scenario, a sensitivity analysis was conducted. The results showed that the annual mean LSWT will likely increase about + 1.29 °C and + 2.64 °C with air temperature increases of + 2 °C and + 4 °C respectively at the end of the twenty-first century. If realized, such a scenario will cause serious consequences on lake ecosystem.

ACS Style

Senlin Zhu; Mariusz Ptak; Adam Choiński; Songbai Wu. Exploring and quantifying the impact of climate change on surface water temperature of a high mountain lake in Central Europe. Environmental Monitoring and Assessment 2019, 192, 7 .

AMA Style

Senlin Zhu, Mariusz Ptak, Adam Choiński, Songbai Wu. Exploring and quantifying the impact of climate change on surface water temperature of a high mountain lake in Central Europe. Environmental Monitoring and Assessment. 2019; 192 (1):7.

Chicago/Turabian Style

Senlin Zhu; Mariusz Ptak; Adam Choiński; Songbai Wu. 2019. "Exploring and quantifying the impact of climate change on surface water temperature of a high mountain lake in Central Europe." Environmental Monitoring and Assessment 192, no. 1: 7.

Journal article
Published: 01 December 2019 in Bulletin of Geography. Physical Geography Series
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There are a total of several million lakes in the world, which includes only approximately 30 crater lakes. Due to this extreme global rarity, they are the subject of research in many scientific disciplines. In spite of the widespread interest in them, however, many issues still require detailed investigation. In the case of the Morasko crater lake (Poland), hydrological research has been weakly developed so far. The undertaken analysis, which employed a complex research procedure involving the use of georadar, geological corings and bathymetric measurements, aimed to determine the primary bottom of the lake, and further to determine the scale and rate of its evolution. The modern water level suggests that the lake basin is currently approximately 55% filled in with organic matter, and the rate of its sedimentation in the deepest place can be estimated at approximately 0.8 mm·y−1.

ACS Style

Adam Choiński; Andrzej Muszyński; Mariusz Ptak; Marcin Słowik. Reconstruction of the primary bottom of a unique crater lake in the “Meteoryt Morasko Reserve” (Poland). Bulletin of Geography. Physical Geography Series 2019, 17, 5 -16.

AMA Style

Adam Choiński, Andrzej Muszyński, Mariusz Ptak, Marcin Słowik. Reconstruction of the primary bottom of a unique crater lake in the “Meteoryt Morasko Reserve” (Poland). Bulletin of Geography. Physical Geography Series. 2019; 17 (1):5-16.

Chicago/Turabian Style

Adam Choiński; Andrzej Muszyński; Mariusz Ptak; Marcin Słowik. 2019. "Reconstruction of the primary bottom of a unique crater lake in the “Meteoryt Morasko Reserve” (Poland)." Bulletin of Geography. Physical Geography Series 17, no. 1: 5-16.