Synergistic impacts of nutrient enrichment and climate change on long‐term water quality and ecological dynamics in contrasting shallow‐lake zones

2021 ◽  
Author(s):  
Qi Lin ◽  
Ke Zhang ◽  
Suzanne McGowan ◽  
Eric Capo ◽  
Ji Shen
Keyword(s):  
Climate Change ◽  
Water Quality ◽  
Shallow Lake ◽  
Nutrient Enrichment ◽  
Ecological Dynamics

Multivariate analysis of long term water quality changes of shallow Lake Balaton

2006 ◽  
Vol 29 (4) ◽  
pp. 2051-2055 ◽  
Author(s):  
G. Kiss ◽  
Gy. Dévai ◽  
B. Tóthmérész ◽  
A. Szabó
Keyword(s):  
Water Quality ◽  
Multivariate Analysis ◽  
Shallow Lake ◽  
Lake Balaton ◽  
Quality Changes

scholarly journals ANEMI3: An updated tool for global change analysis

PLoS ONE ◽  
2021 ◽  
Vol 16 (5) ◽  
pp. e0251489
Author(s):  
Patrick A. Breach ◽  
Slobodan P. Simonovic
Keyword(s):  
Climate Change ◽  
Water Quality ◽  
Surface Water ◽  
Water Resources ◽  
Global Change ◽  
System Dynamics ◽  
Global Economy ◽  
Dynamics Simulation ◽  
Earth System

The ANEMI model is an integrated assessment model of global change that emphasizes the role of water resources. The model is based on the principles of system dynamics simulation to analyze changes in the Earth system using feedback processes. Securing water resources for the future is a key issue of global change, and ties into global systems of population growth, climate change, carbon cycle, hydrologic cycle, economy, energy production, land use and pollution generation. Here the third iteration of the model–ANEMI3 is described, along with the methods used for parameter estimation and model testing. The main differences between ANEMI3 and previous versions include: (i) implementation of the energy-economy system based on the principles of system dynamics simulation; (ii) incorporation of water supply as an additional sector in the global economy that parallels the production of energy; (iii) inclusion of climate change effects on land yield and potentially arable land for food production, and (iv) addition of nitrogen and phosphorus based nutrient cycles as indicators of global water quality, which affect the development of surface water supplies. The model is intended for analyzing long-term global feedbacks which drive global change. Because of this, there are limitations related to the spatial scale that is used. However, the model’s simplicity can be considered a strength, as it allows for the driving feedbacks to be more easily identified. The model in its current form allows for a variety of scenarios to be created to address global issues such as climate change from an integrated perspective, or to examine the change in one model sector on Earth system behaviour. The endogenous structure of the model allows for global change to be driven entirely by model structure rather than exogenous inputs. The new additions to the ANEMI3 model are found to capture long term trends associated with global change, while allowing for the development of water supplies to be represented using an integrated approach considering global economy and surface water quality.

Analysing water quality changes due to reservoir management and climate change for optimization of drinking water treatment

2009 ◽  
Vol 9 (1) ◽  
pp. 99-105 ◽  
Author(s):  
I. Slavik ◽  
W. Uhl
Keyword(s):  
Climate Change ◽  
Water Quality ◽  
Drinking Water ◽  
Drinking Water Treatment ◽  
Reservoir Management ◽  
Quality Changes ◽  
Short Term ◽  
Reservoir Water ◽  
Catchment Areas

Reservoir water for drinking water production may undergo major short-term and long-term quality changes. These are results of natural processes in the water body and of the water's quality entering and leaving the reservoir. Long term quality changes are due to management of catchment areas, but also to a considerable extent by external impacts like climate change. Short term quality changes are impacted by extreme events like rain storms after drought periods, which might also be a result of climate change. Furthermore, short- and mid-term quality changes are impacted by reservoir management, which also influences the ecological state of rivers downstream the reservoir. The purpose of our work is to develop a decision support tool for reservoir management which takes into account short-, mid- and long-term factors for water quality change. With the tool it is intended to simulate not only water quality, but also management impact on flood risk prevention and drinking water quality (treatment efficiency and costs) and to assist decision making for reservoir management.

Changes in the water quality conditions of Kuwait's marine waters: Long term impacts of nutrient enrichment

2015 ◽  
Vol 100 (2) ◽  
pp. 607-620 ◽  
Author(s):  
M.J. Devlin ◽  
M.S. Massoud ◽  
S.A. Hamid ◽  
A. Al-Zaidan ◽  
H. Al-Sarawi ◽  
...  
Keyword(s):  
Water Quality ◽  
Nutrient Enrichment ◽  
Marine Waters

scholarly journals Seasonal Water Quality and Algal Responses to Monsoon-Mediated Nutrient Enrichment, Flow Regime, Drought, and Flood in a Drinking Water Reservoir

2021 ◽  
Vol 18 (20) ◽  
pp. 10714
Author(s):  
Md Mamun ◽  
Usman Atique ◽  
Ji Yoon Kim ◽  
Kwang-Guk An
Keyword(s):  
Water Quality ◽  
Drinking Water ◽  
Flow Regime ◽  
Nutrient Enrichment ◽  
Water Reservoir ◽  
Reservoir Water ◽  
Chl A ◽  
Drought And Flood ◽  
Drinking Water Reservoir

Freshwater reservoirs are a crucial source of urban drinking water worldwide; thus, long-term evaluations of critical water quality determinants are essential. We conducted this study in a large drinking water reservoir for 11 years (2010–2020). The variabilities of ambient nutrients and total suspended solids (TSS) throughout the seasonal monsoon-mediated flow regime influenced algal chlorophyll (Chl-a) levels. The study determined the role of the monsoon-mediated flow regime on reservoir water chemistry. The reservoir conditions were mesotrophic to eutrophic based on nitrogen (N) and phosphorus (P) concentrations. An occasional total coliform bacteria (TCB) count of 16,000 MPN per 100 mL was recorded in the reservoir, presenting a significant risk of waterborne diseases among children. A Mann–Kendall test identified a consistent increase in water temperature, conductivity, and chemical oxygen demand (COD) over the study period, limiting a sustainable water supply. The drought and flood regime mediated by the monsoon resulted in large heterogeneities in Chl-a, TCB, TSS, and nutrients (N, P), indicating its role as a key regulator of the ecological functioning of the reservoir. The ambient N:P ratio is a reliable predictor of sestonic Chl-a productivity, and the reservoir was P-limited. Total phosphorus (TP) had a strong negative correlation (R2 = 0.59, p < 0.05) with the outflow from the dam, while both the TSS (R2 = 0.50) and Chl-a (R2 = 0.32, p < 0.05) had a strong positive correlation with the outflow. A seasonal trophic state index revealed oligo-mesotrophic conditions, indicating a limited risk of eutrophication and a positive outcome for long-term management. In conclusion, the Asian monsoon largely controlled the flood and drought conditions and manipulated the flow regime. Exceedingly intensive crop farming in the basin may lead to oligotrophic nutrient enrichment. Although the reservoir water quality was good, we strongly recommend stringent action to alleviate sewage, nutrient, and pollutant inflows to the reservoir.

scholarly journals PREDICTION OF FUTURE WATER QUALITY UNDER LONG-TERM CLIMATE CHANGE IN URAYAMA RESERVOIR

2014 ◽  
Vol 70 (4) ◽  
pp. I_1633-I_1638 ◽  
Author(s):  
Jungkyu CHOI ◽  
Hiroshi YAJIMA ◽  
Kenji TANIGUCHI ◽  
Jun MAGOME
Keyword(s):  
Climate Change ◽  
Water Quality

A modeling approach to forecast the effect of long-term climate change on lake water quality

2007 ◽  
Vol 209 (2-4) ◽  
pp. 351-366 ◽  
Author(s):  
Eiji Komatsu ◽  
Takehiko Fukushima ◽  
Hideo Harasawa
Keyword(s):  
Climate Change ◽  
Water Quality ◽  
Lake Water ◽  
Lake Water Quality ◽  
Modeling Approach

Model based climate change impact assessment of river water quality in Wales

2020 ◽  
Author(s):  
Richard Dallison ◽  
Sopan Patil
Keyword(s):  
Climate Change ◽  
Water Quality ◽  
Water Resource Management ◽  
River Flow ◽  
Global Climate Models ◽  
Extreme Weather Events ◽  
Climate Projections ◽  
Worst Case ◽  
Water Quality Variables

&lt;p&gt;Climate change is likely to threaten the consistent provision of clean drinking water in the UK, in terms of both water quantity and quality. Water quality could be especially problematic due to projected increases in extreme weather events such as droughts and flooding, both of which have a deleterious impact on water quality.&lt;/p&gt;&lt;p&gt;This study uses the Soil and Water Assessment Tool (SWAT) with UK Climate Projections (UKCP) 2018 data to model the impacts of a worst-case global emissions scenario (RCP8.5), on water quality for five catchments in Wales, UK. Our five study catchments (Clwyd, Conwy, Dyfi, Teifi, and Tywi) cover approximately 21% of the total area of Wales and are an important source of water supply for the North, West, and South-West Wales regions. We use an ensemble of 12 regionally downscaled Global Climate Models as inputs to account for uncertainty in the projections and temporal snapshots are taken for the 2020-39, 2040-59 and 2060-78 periods. We focus on the concentrations of four specific water quality variables: nitrogen (N), phosphorous (P), suspended sediment (SS), and dissolved oxygen (DO).&lt;/p&gt;&lt;p&gt;At all five catchments, SWAT is calibrated using river flow data only, due to the lack of water quality measurements. SWAT parameters related to water quality are kept at their default values. While this approach increases the uncertainty related to the specific values of water quality variables, it does provide the relative changes in specific water quality variables under future climate conditions. Results show that changing river flow patterns, both long term averages and extreme events, have a large impact on water quality. Concentrations of all four water quality variables show clear correlations with river flow. The largest changes in seasonal water quality are generally observed in spring and autumn, especially for P and N concentrations. Sediment concentrations and DO levels have an inverse relationship, with SS levels increasing with increased river flow and DO levels decreasing.&lt;/p&gt;&lt;p&gt;Results of this study are useful for water resource management and planning, especially in terms of the potential adaptation measures required to cope with the additional treatment required at water treatment works. By taking twenty-year snapshots our study also allows for short, medium and long term solutions to be planned.&lt;/p&gt;

Persistently high CH4 emissions 10 years after restoration: The necessity for long-term observations when measuring GHG emissions of transitional systems

2021 ◽  
Author(s):  
Danica Antonijevic ◽  
Shrijana Vaidya ◽  
Claudia Vincenz ◽  
Nicole Jurisch ◽  
Nathalia Pehle ◽  
...  
Keyword(s):  
Climate Change ◽  
Steady State ◽  
Water Table ◽  
Shallow Lake ◽  
Greenhouse Gas Emission ◽  
Global Climate ◽  
Ghg Emissions ◽  
Measurement Site ◽  
Flux Measurements

&lt;p&gt;When drained for e.g. agricultural use, natural peatlands turn from a net C sink to a net C source. It is therefore suggested that restoration of peatlands, despite of increasing CH&lt;sub&gt;4&lt;/sub&gt; emissions, holds the potential to mitigate climate change by reducing their overall global warming potential. The time span required for this transition, however, is fairly unknown. Moreover, greenhouse gas emission measurements from peatlands are often limited to a couple of years only. This is problematic in so far, as most peatland ecosystems are in transitional stage due to restoration related disturbances (e.g. enhanced water table) and global climate change. This might affect GHG emissions in one way or another which emphasizes the necessity of longer-term observations to avoid misinterpretations and premature conclusions. &amp;#160;&amp;#160;&amp;#160;&amp;#160;&amp;#160;&amp;#160; &lt;br&gt;Exemplary for that, we present 14 consecutive years of CH&lt;sub&gt;4&lt;/sub&gt; flux measurements following restoration at a formerly long-term drained fen grassland within the Peene river catchment (near the town of Zarnekow: 53.52&amp;#8304;N, 12.52&amp;#8304;E). Restoration of peatland was done by simply opening the dike. Thus, no water table management was established and water table was strongly fluctuating.&amp;#160; CH&lt;sub&gt;4&lt;/sub&gt; flux measurements were conducted at two sites (restored vs. non-restored) using non-flow-through non-steady-state (NFT-NSS) opaque chambers.&amp;#160; &lt;br&gt;Throughout the 14 years study period, distinct stages of an ecosystems transition, differing in their impact on measured CH&lt;sub&gt;4&lt;/sub&gt; emissions, were observed. During the first two years of the measurement period directly following restoration in autumn 2004, an eutrophic shallow lake was formed. This development was accompanied by a fast vegetation shift from dying off cultivated grasses to submerged hydrophytes and helophytes and evidenced substantially increased CH&lt;sub&gt;4&lt;/sub&gt; emissions. Since 2008, helophytes have gradually spread from the shore line into the established shallow lake especially during drying years. This process was only periodically delayed by exceptional inundation, such as in 2011, 2012 and 2015, and finally resulted in coverage of the measurement site in 2016 and 2017. While, especially the period between 2009 and 2015 showed exceptionally high CH&lt;sub&gt;4&lt;/sub&gt; emissions, these decreased significantly after&amp;#160;helophytes were established at the measurement site. Hence, CH&lt;sub&gt;4&lt;/sub&gt; emissions only decreased after ten years transition following restoration and potentially reaching a new steady state.&lt;/p&gt;

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