Unravelling Precipitation Trends in Greece since 1950s Using ERA5 Climate Reanalysis Data DOI Open Access
George Varlas, Konstantinos Stefanidis, George Papaioannou

et al.

Climate, Journal Year: 2022, Volume and Issue: 10(2), P. 12 - 12

Published: Jan. 18, 2022

Precipitation is one of the most variable climatic parameters, as it determined by many physical processes. The spatiotemporal characteristics precipitation have been significantly affected climate change during past decades. Analysis trends challenging, especially in regions such Greece, which characterized complex topography and includes several ungauged areas. With this study, we aim to shed new light on inter-annual over Greece. For purpose, used ERA5 monthly data from 1950 2020 estimate annual Theil–Sen Mann–Kendall significance Greece surrounding Additionally, order analyze model nonlinear relationships time series, generalized additive models (GAMs). results indicated significant declining areal study area. Declining were more pronounced winter western eastern but spring, summer autumn mostly not significant. GAMs showcased that generally nonlinearity area presented high inter-decadal variability. Combining results, concluded did linearly 7 decades, first increased 1950s late 1960s, consequently decreased until early 1990s and, afterwards, an increase with a smaller rate than 1950–1960s.

Language: Английский

A systematic literature review of forecasting and predictive models for cyanobacteria blooms in freshwater lakes DOI
Benny Zuse Rousso, Edoardo Bertone, Rodney A. Stewart

et al.

Water Research, Journal Year: 2020, Volume and Issue: 182, P. 115959 - 115959

Published: May 22, 2020

Language: Английский

Citations

237

Storm impacts on phytoplankton community dynamics in lakes DOI Creative Commons
Jason D. Stockwell, Jonathan P. Doubek, Rita Adrian

et al.

Global Change Biology, Journal Year: 2020, Volume and Issue: 26(5), P. 2756 - 2784

Published: March 5, 2020

Abstract In many regions across the globe, extreme weather events such as storms have increased in frequency, intensity, and duration due to climate change. Ecological theory predicts that should large impacts on ecosystem structure function. High winds precipitation associated with can affect lakes via short‐term runoff from watersheds physical mixing of water column. addition, connected rivers streams will also experience flushing high flow rates. Although we a well‐developed understanding how wind alter lake processes some aspects biogeochemical cycling, our mechanistic emergent responses phytoplankton communities is poor. Here provide comprehensive synthesis identifies interact watershed attributes their antecedent conditions generate changes chemical environments. Such restructure dynamics, well result altered ecological function (e.g., carbon, nutrient energy cycling) short‐ long‐term. We summarize current storm‐induced identify knowledge gaps systematic review literature, suggest future research directions gradient types environmental conditions.

Language: Английский

Citations

224

A General Lake Model (GLM 3.0) for linking with high-frequency sensor data from the Global Lake Ecological Observatory Network (GLEON) DOI Creative Commons
Matthew R. Hipsey, Louise C. Bruce,

Casper Boon

et al.

Geoscientific model development, Journal Year: 2019, Volume and Issue: 12(1), P. 473 - 523

Published: Jan. 29, 2019

Abstract. The General Lake Model (GLM) is a one-dimensional open-source code designed to simulate the hydrodynamics of lakes, reservoirs, and wetlands. GLM was developed support science needs Global Ecological Observatory Network (GLEON), network researchers using sensors understand lake functioning address questions about how lakes around world respond climate land use change. scale diversity types, locations, sizes, expanding observational datasets created need for robust community model dynamics with sufficient flexibility accommodate range scientific management relevant GLEON community. This paper summarizes basis numerical implementation algorithms, including details sub-models that surface heat exchange ice cover dynamics, vertical mixing, inflow–outflow dynamics. We demonstrate suitability different types vary substantially in their morphology, hydrology, climatic conditions. supports dynamic coupling biogeochemical ecological modelling libraries integrated simulations water quality ecosystem health, options integration other environmental models are outlined. Finally, we discuss utilities analysis outputs uncertainty assessments, operation within distributed cloud-computing environment, as tool learning participants.

Language: Английский

Citations

198

Stream water quality prediction using boosted regression tree and random forest models DOI
Ali O. Alnahit, Ashok K. Mishra, Abdul A. Khan

et al.

Stochastic Environmental Research and Risk Assessment, Journal Year: 2022, Volume and Issue: 36(9), P. 2661 - 2680

Published: Jan. 20, 2022

Language: Английский

Citations

118

A review of Soil and Water Assessment Tool (SWAT) studies of Mediterranean catchments: Applications, feasibility, and future directions DOI Creative Commons
Sarra Aloui, Annamaria Mazzoni, Adel Elomri

et al.

Journal of Environmental Management, Journal Year: 2022, Volume and Issue: 326, P. 116799 - 116799

Published: Nov. 19, 2022

The Soil and Water Assessment Tool (SWAT) is a well-established eco-hydrological model that has been extensively applied to watersheds across the globe. This work reviews over two decades (2002–2022) of SWAT studies conducted on Mediterranean watersheds. A total 260 articles have identified since earliest documented use in catchment back 2002; which 62% were carried out Greece, Italy, or Spain. applications increased significantly recent years 86% reviewed papers published past decade. major objective for most works was check applicability specific great number publications included procedures calibration validation reported performance results. region mainly cover water resources quantity quality assessment hydrologic environmental impacts evaluation land climate changes. Nevertheless, tendency towards multi-purpose revealed. numerous examples combined with other tools techniques outline model's flexibility. Several performed constructive comparisons between watersheds' responses compared models methods. effects inputs outputs innovative modifications improvements also focus some surveyed articles. However, significant difficulties regarding data availability, as these are either scarce, poor resolution not freely available. Therefore, it highly recommended identify develop accurate testing optimize performance.

Language: Английский

Citations

112

Precipitation, landscape properties and land use interactively affect water quality of tropical freshwaters DOI
Regina L. G. Nobre, Adriano Caliman, Camila Rodrigues Cabral

et al.

The Science of The Total Environment, Journal Year: 2020, Volume and Issue: 716, P. 137044 - 137044

Published: Jan. 31, 2020

Language: Английский

Citations

129

Reallocation planning of urban industrial land for structure optimization and emission reduction: A practical analysis of urban agglomeration in China’s Yangtze River Delta DOI
Hui Shu, Pingping Xiong

Land Use Policy, Journal Year: 2018, Volume and Issue: 81, P. 604 - 623

Published: Nov. 26, 2018

Language: Английский

Citations

87

Predicting cyanobacteria bloom occurrence in lakes and reservoirs before blooms occur DOI
Changsen Zhao,

Nan Shao,

S.T. Yang

et al.

The Science of The Total Environment, Journal Year: 2019, Volume and Issue: 670, P. 837 - 848

Published: March 12, 2019

Language: Английский

Citations

85

Impact of anthropogenic activities on water quality parameters of glacial lakes from Rodnei mountains, Romania DOI
Oana MARE ROŞCA, Thomas Dippong, Monica Marian

et al.

Environmental Research, Journal Year: 2020, Volume and Issue: 182, P. 109136 - 109136

Published: Jan. 14, 2020

Language: Английский

Citations

73

Deterministic modelling of freshwater lakes and reservoirs: Current trends and recent progress DOI
Laura Melo Vieira Soares, Maria do Carmo Calijuri

Environmental Modelling & Software, Journal Year: 2021, Volume and Issue: 144, P. 105143 - 105143

Published: July 16, 2021

Language: Английский

Citations

62