The impact of climate change on drinking water supply by riverbank filtration

2008 ◽  
Vol 8 (3) ◽  
pp. 319-324 ◽  
Author(s):  
P. Eckert ◽  
R. Lamberts ◽  
C. Wagner

Riverbank filtration (RBF) is a well proven natural treatment, which in many countries is part of a multi-barrier concept in drinking water supply. The induced infiltration of river water into the aquifer produces a significant improvement in river water quality. Riverbank filtration wells are characterized by a high capacity. Based on data from recent years, an integrated approach to assessing the impact of climate change on safe drinking water production by RBF is demonstrated in the Lower Rhine Valley, Germany. Influencing factors on quantitative as well as qualitative aspects were identified. During low river water periods, the capacity of the RBF-wells decreases. In addition the lower discharge within the river is accompanied by a increased concentration of several chemical compounds. Together with higher water temperatures which influence the hydrogeochemical processes during RBF, the changing raw water composition has to be considered for the subsequent technical treatment step. However, our investigations reveal that despite the impact of climate change on RBF, the multi-protective barrier concept, including both natural and technical purification, has proven a reliable method for drinking water production. The sanitation of the Rhine over the last decades was an important step to make RBF more resilient to climate change.

Author(s):  
Ernest Othieno Odwori

Increased wet season rainfall is associated with improved water supply at point water sources and improved river flows and water reservoir levels. For piped water supply schemes with surface water intakes, this is supposed to enhance operations since there is adequate raw water unlike in the dry season where operations are interrupted due to insufficient flows. However, this is not the case in Nzoia River Basin as established by this study. As rainfall increases, drinking water production in treatment plants at Moi’s Bridge, Lumakanda and Busia water supplies decrease and vice versa. Nzoia River Basin is one of the regions that is highly vulnerable to climate variability in Kenya, hence understanding rainfall variability and trends is important for better water resources management and especially drinking water supply. This study aimed at assessing rainfall variability and trends for 3 rainfall stations in Nzoia River Basin; Leissa Farm Kitale, Webuye Agricultural Office and Bunyala Irrigation Scheme and its impact on drinking water production at Moi’s Bridge, Lumakanda and Busia water supplies treatment plants. The rainfall data used in this study covers 31 years period from 1970 to 2001 and was obtained from the Kenya Meteorological Department (KMD), Nairobi, Kenya. Monthly water supply production data for Moi’s Bridge, Lumakanda and Busia water supplies covering 15 years period from 2000 to 2014 was obtained from the County governments of Uasin Gishu, Kakamega and Busia. Rainfall variability and trend was analysed using the parametric test of Linear regression analysis and the non-parametric Mann Kendall statistical test. Monthly rainfall and monthly drinking water production was analysed using Pearson moment correlation to establish the relationship between monthly rainfall and monthly drinking water supply production at Mois Bridge, Lumakanda and Busia Water supplies treatment plants. The results of variability and trend in annual rainfall shows Webuye Agricultural Office recording declining rainfall at -0.8994 mm/31 years (-0.029 mm/ year); whereas Leissa Farm Kitale shows increasing rainfall at 1.0325 mm/31 years (0.033 mm/ year) and Bunyala Irrigation Scheme’s rainfall is increasing at 0.5245 mm/31 years (0.017 mm/ year). Drinking water supply production at Moi’s Bridge, Lumakanda and Busia water supplies has been increasing with time between 2000 and 2014. The results of Pearson moment correlation coefficient shows a strong negative relationship between monthly rainfall and monthly drinking water supply production at 0.05 significance level for Moi’s Bridge, Lumakanda and Busia water supplies. This shows that as rainfall increases, drinking water supply production in treatment plants at Moi’s Bridge, Lumakanda and Busia water supplies decreases. During the rainy season, the cost of water treatment goes up as a result of increased turbidity. Increased rainfall in Nzoia River Basin presents water treatment challenges to the existing water supply treatment plants resulting into reduced production.Water supply managers should improve the capacity of the existing water supply treatment plants to cope with the increased rainfall variability under the changing climatic conditions.


2018 ◽  
Vol 16 (2) ◽  
pp. 84
Author(s):  
G A Blagodatsky ◽  
A A Bass ◽  
M M Gorokhov ◽  
D S Ponomarev

Работа посвящена системному анализу данных показателей исходной воды при производстве питьевой воды в системе центрального водоснабжения крупного населенного пункта. На сегодняшний день на фоне увеличивающегося негативного антропогенного воздействия на окружающую среду наблюдается ухудшение состояния многих источников питьевого водоснабжения в широком спектре показателей, в частности, таких как органолептические свойства воды. Как следствие, возникает проблема и для питьевой воды. В работе приводится процесс подготовки данных о параметрах исходной воды, забираемой из водохранилища, которые ежемесячно (с 2002 по 2014 год) учитывались на предприятии при дезодорации воды. Приведенные параметры оказывают существенное влияние на органолептические свойства конечной воды. Подготовка данных для анализа проводится методом главных компонент К. Пирсона. Данные, полученные в пространстве R9, переводятся в пространство меньшей размерности R3. Понижение размерности позволяет снизить автокорреляцию между компонентами. Отбор компонент в пространство R3 проводится по правилу Парето. В пространстве R3 методом сферической кластеризации данных «Форель» с постоянным радиусом группировки проводится кластеризация. Приводится пошаговое визуальное представление алгоритма кластеризации в пространстве R3. В работе показано, что в данных показателях качества исходной воды имеются кластеры. Проводится корреляционно-регрессионный анализ данных, представленных в главных компонентах. Строятся регрессионные зависимости показателей органолептических свойств от главных компонент из пространства R3.


2021 ◽  
Author(s):  
Carolin Reitter ◽  
Heike Petzoldt ◽  
Andreas Korth ◽  
Felix Schwab ◽  
Claudia Stange ◽  
...  

AbstractWorldwide, surface waters like lakes and reservoirs are one of the major sources for drinking water production, especially in regions with water scarcity. In the last decades, they have undergone significant changes due to climate change. This includes not only an increase of the water temperature but also microbiological changes. In recent years, increased numbers of coliform bacteria have been observed in these surface waters. In our monitoring study we analyzed two drinking water reservoirs (Klingenberg and Kleine Kinzig Reservoir) over a two-year period in 2018 and 2019. We detected high numbers of coliform bacteria up to 2.4 x 104 bacteria per 100 ml during summer months, representing an increase of four orders of magnitude compared to winter. Diversity decreased to one or two species that dominated the entire water body, namely Enterobacter asburiae and Lelliottia spp., depending on the reservoir. Interestingly, the same, very closely related strains have been found in several reservoirs from different regions. Fecal indicator bacteria Escherichia coli and enterococci could only be detected in low concentrations. Furthermore, fecal marker genes were not detected in the reservoir, indicating that high concentrations of coliform bacteria were not due to fecal contamination. Microbial community revealed Frankiales and Burkholderiales as dominant orders. Enterobacterales, however, only had a frequency of 0.04% within the microbial community, which is not significantly affected by the extreme change in coliform bacteria number. Redundancy analysis revealed water temperature, oxygen as well as nutrients and metals (phosphate, manganese) as factors affecting the dominant species. We conclude that this sudden increase of coliform bacteria is an autochthonic process that can be considered as a mass proliferation or “coliform bloom” within the reservoir. It is correlated to higher water temperatures in summer and is therefore expected to occur more frequently in the near future, challenging drinking water production.HighlightsColiform bacteria proliferate in drinking water reservoirs to values above 104 per 100 mlThe genera Lelliottia and Enterobacter can form these “coliform blooms”Mass proliferation is an autochthonic process, not related to fecal contaminationsIt is related to water temperature and appears mainly in summerIt is expected to occur more often in future due to climate changeGraphical abstract


2021 ◽  
Author(s):  
Richard Dallison ◽  
Sopan Patil

<p>The impact of climate change on the hydrological cycle and catchment processes has been extensively studied. In Wales, such changes are projected to have a substantial impact on hydrological regimes. However, the impact on the water abstraction capability of key sectors in the country, such as hydropower (HP) and public water supply (PWS), is not yet fully understood. We use the Soil and Water Assessment Tool (SWAT) to generate future (2021-2054) daily streamflows under a worst-case scenario of greenhouse gas emissions (Representative Concentration Pathway 8.5) at two large catchments in Wales, the Conwy and Tywi. SWAT streamflow output is used to estimate the abstractable water resources, and therefore changes in the average generation characteristics for 25 run-of-river HP schemes across Conwy and Tywi and the total unmet demand for a single large PWS abstraction in the Tywi. This unmet PWS demand is assessed using the Water Evaluation And Planning (WEAP) system under increasing, static, and declining demand scenarios. Mann-Kendall trend analysis is performed to detect and characterise the trends for both sectors.</p><p>Results show greater seasonality in abstraction potential through the study period, with an overall decrease in annual abstraction volume due to summer and autumn streamflow declines outweighing increases seen in winter and spring. For HP, these trends result in a projected decline in annual power generation potential, despite an increasing number of days per year that maximum permitted abstraction is reached. For PWS, under all future demand scenarios, annually there is an increase in the number of days where demand is not met as well as the total shortfall volume of water. Our results suggest that currently installed HP schemes may not make optimal use of future flows, and that the planning of future schemes should take account of these to ensure the most efficient operation is achieved. Moreover, PWS supply sustainability is under threat and will require management and mitigation measures to be implemented to ensure future supplies. Overall, our study provides a novel perspective on the future water resource availability in Wales, giving context to management planning to ensure future HP generation efficiency and PWS sustainability.</p>


Water Policy ◽  
2012 ◽  
Vol 15 (3) ◽  
pp. 364-385 ◽  
Author(s):  
Lynn A. Mandarano ◽  
Robert J. Mason

This paper articulates the complexities of adaptively managing Delaware River water resources to meet shifting priorities of drinking water supply, drought mitigation and flood mitigation, as well as conflicting stakeholder interests. In particular, the paper examines the short-term and long-term programs that comprise the Delaware River Basin Commission's (DRBC) and the 1954 US Supreme Court Decree parties' successful adaptive management approach that seeks to balance the growing list of demands for water resources management, including drinking water supply, drought management, flood control and cold water fisheries protection. Review of the DRBC's adaptive governance approach reveals the critical complexities of designing experimental, yet science-driven management approaches and effectively engaging various sets of stakeholders in the associated decision-making processes.


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