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  • 1
    Publication Date: 2023-01-14
    Description: Over the last decades, treatment of domestic wastewater promoted by environmental regulations have reduced human health risks and improved water quality. However, ecological risks caused by effluents of wastewater treatment plants (WWTPs) discharged into rivers still persist. Moreover, the evolution of these ecological risks in the future is intimately related to effects of changing climate, especially regarding streamflow in receiving rivers. Here, we present an analytical and transferable framework for assessing the ecological risks posed by WWTP‐effluents at the catchment scale. The framework combines the size‐class k of WWTPs, which is a load‐proxy, with their outflows' location in river networks, represented by stream‐order ω. We identify ecological risks by using three proxy indicators: the urban discharge fraction and the local‐scale concentrations of each total phosphorous and ammonium‐nitrogen discharged from WWTPs. About 3,200 WWTPs over three large catchments (Rhine, Elbe, and Weser) in Central Europe were analyzed by incorporating simulated streamflow for the most extreme projected climate change scenario. We found that WWTPs causing ecological risks in the future prevail in lower ω, across almost all k. Distinct patterns of ecological risks are identified in the k‐ω framework for different indicators and catchments. We show, as climate changes, intensified risks are especially expected in lower ω receiving effluents of intermediate‐k WWTPs. We discuss the implications of our findings for prioritizing WWTPs upgrading and urging updates on environmental regulations. Further discussions underline the feasibility of applying the framework to any geographical regions and highlight its potentials to help in achieving global long‐term commitments on freshwater security.
    Description: Key Points: An analytical, generic framework was developed to assess wastewater treatment plants causing ecological risks in rivers under climate change. Smaller streams will face higher ecological risks for almost all load classes of wastewater treatment plants in future climate. Of the legally regulated effluent parameters for treated wastewater, ammonium‐nitrogen concentration will pose the greatest ecological risk.
    Description: Helmholtz Association http://dx.doi.org/10.13039/501100009318
    Keywords: ddc:551.48 ; analytical assessment framework ; wastewater treatment plants emissions ; river stream‐order ; dilution ; local‐scale nutrients concentrations
    Language: English
    Type: doc-type:article
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  • 2
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    Springer Spektrum
    In:  EPIC3Klimaanpassung in Forschung und Politik, Wiesbaden, Springer Spektrum, 260 p., pp. 119-141, ISBN: 978-3-658-05577-6
    Publication Date: 2017-01-06
    Description: Der Austausch von Wissen und Informationen zwischen verschiedenen gesellschaftlichen Gruppen ist oft nicht trivial. Vertreter aus der Öffentlichkeit, verschiedenen Fachkreisen und Behörden oder aus der Wissenschaft generieren sehr unterschiedliches Wissen unter Einbeziehung von unterschiedlichen Graden der Problemorientierung und ihrer jeweiligen Sprache. Zur Überwindung dieser Barrieren stehen verschiedene Instrumente zur Verfügung. In diesem Artikel werden drei weitverbreitete Formen des Wissenstransfers diskutiert: (1) Assessments mit ihren verschiedenen Formen z.B. auf unterschiedlichen räumlichen Skalen, (2) Indikatoren mit möglichen Rahmenkonzepten, Indikatorensätze und Formen der Evaluierung und (3) web-basierte Plattformen als einfache Möglichkeit der Verbreitung von aktuellen Informationen. Dabei werden zwei Beispiele ausführlich dargestellt, nämlich das am Klimbüro für Polargebiete und Meeresspiegelanstieg konzipierte Meereisportal und der am Mitteldeutschen Klimabüro entwicklete Deutsche Dürreatlas.
    Repository Name: EPIC Alfred Wegener Institut
    Type: Inbook , peerRev
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  • 3
    Publication Date: 2021-07-05
    Description: Defining effective measures to reduce nitrate pollution in heterogeneous mesoscale catchments remains challenging when based on concentration measurements at the outlet only. One reason for this is our limited understanding of the subcatchment contributions to nitrate export and their importance at different time scales. While upstream subcatchments often disproportionally contribute to runoff generation and in turn to nutrient export, agricultural areas (which are typically found in downstream lowlands) are known to be a major source of nitrate pollution. To examine the interplay of different subcatchments, we analyzed seasonal long‐term trends and event dynamics of nitrate concentrations, loads, and the concentration–discharge relationship in three nested catchments within the Selke catchment (456 km2), Germany. The upstream subcatchments (40.4% of total catchment area, 34.5% of N input) had short transit times and dynamic concentration–discharge relationships with elevated nitrate concentrations during wet seasons and events. Consequently, the upstream subcatchments dominated nitrate export during high flow and disproportionally contributed to overall annual nitrate loads at the outlet (64.2%). The downstream subcatchment was characterized by higher N input, longer transit times, and relatively constant nitrate concentrations between seasons, dominating nitrate export during low‐flow periods. Neglecting the disproportional role of upstream subcatchments for temporally elevated nitrate concentrations and net annual loads can lead to an overestimation of the role of agricultural lowlands. Nonetheless, constantly high concentrations from nitrate legacies pose a long‐term threat to water quality in agricultural lowlands. This knowledge is crucial for an effective and site‐specific water quality management.
    Description: Plain Language Summary: To efficiently remove nitrate pollution, we need to understand how it is transported, mobilized, and stored within large and heterogeneous catchments. Previous studies have shown that upstream catchments often have a disproportional impact on nutrient export, while agriculture (a major nitrate source) is often located in downstream lowlands. To understand which parts of a catchment contribute most to nitrate export and when, we analyzed long‐term (1983–2016) and high‐frequency (2010–2016) data in the Selke catchment (Germany) at three locations. The mountainous upstream part dominated nitrate transport during winter, spring, and rain events. It had a surprisingly high contribution to annual nitrate loads. The agricultural downstream part of the catchment dominated nitrate export during summer and autumn, with relatively constant concentrations between seasons. Here, nitrogen inputs needed more than a decade to travel through the subsurface of the catchment, which causes a time lag between measures to reduce nitrate pollution and their measurable effect. The resulting storage of nitrate in the groundwater threatens drinking water quality for decades to come. While the role of agricultural lowlands for nitrate export can be overestimated if neglecting the disproportional role of upstream subcatchments, their impact poses a long‐term threat to water quality.
    Description: Key Points: Analyzing the CQ relationship across time scales allows the disentanglement of the impact of catchment heterogeneity on nitrate export. Mountainous upstream subcatchments can dominate nitrate export during high flows and disproportionally contribute to nitrate loads. Agricultural downstream subcatchments can dominate nitrate export during low flow and pose a long‐term threat to water quality.
    Description: DFG collaborative research center (SFB) 1253 “CAMPOS”
    Description: Helmholtz Research Program, Integrated Project “Water and Matter Flux Dynamics in Catchments”
    Description: Initiative and Networking Fund of the Helmholtz Association through the project Advanced Earth System Modelling Capacity (ESM)
    Keywords: 551 ; concentration–discharge relationships ; event dynamics ; long‐term trends ; nitrate ; nutrient export ; water quality
    Type: article
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  • 4
    Publication Date: 2021-06-30
    Description: Dry and wet extremes affect agricultural production, infrastructure, and socioeconomic well‐being of about 1.4 billion people in India. Despite the profound implications of dry and wet extremes, their changes in the observed and projected climate in India are not well quantified. Here, using the observations from multiple sources, we show that the area affected by dry extremes during the monsoon season (June–September) and water‐year (June–May) has significantly increased (~1% per decade; p value 〈 0.05) over the last six decades (1951–2015) in India. On the other hand, the area affected by wet extremes does not exhibit any significant trend over the same time period. Dry and wet extremes in the monsoon season are corroborated with the positive phase and negative phase of the sea surface temperature (SST) anomalies in the tropical Pacific Ocean (Niño 3.4 region). Global climate models (GCMs) project an increase of more than 25–30% (±3–6%) in the combined area affected by the dry and wet extremes in India by the end of the 21st century. The frequency of both dry and wet extreme years is also projected to increase in the majority of India (〉80%) under a warmer world if the global mean temperature rises above 1.5°C (or 2°C) from a preindustrial level. Moreover, the population exposed to the dry and wet extremes is likely to increase threefold under the projected 2°C warmer world. Therefore, limiting global mean temperature rise below 2°C can substantially reduce the area and population exposure due to dry and wet extremes in India.
    Description: Key Points: The area affected by dry extremes has significantly increased (~1% per decade) during 1951–2015 in India Climate models project increase in the combined area affected by the dry and wet extremes in India (25–30%) by the end of the 21st century The population exposed to the dry and wet extremes is likely to increase threefold under a (2°C) warmer world climate
    Description: Ministry of Earth Sciences (MoES) http://dx.doi.org/10.13039/501100001851
    Keywords: 551.6 ; dry extremes ; wet extremes ; CMIP5 ; population exposure ; SPEI ; India
    Type: article
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  • 5
    Publication Date: 2021-07-21
    Description: Elevated nutrient inputs challenge the health and functioning of aquatic ecosystems. To improve riverine water quality management, it is necessary to understand the underlying biogeochemical and physical processes, anthropogenic drivers and their interactions at catchment scale. We hypothesize that the spatial heterogeneity of nutrient sources dominantly controls the variability of in‐stream concentration dynamics among catchments. We investigated controls of mean nitrate (NO3−), phosphate (PO43−), and total organic carbon (TOC) concentrations and concentration‐discharge (C‐Q) relationships in 787 German catchments of a newly assembled data base, covering a wide range of physiographic and anthropogenic settings. We linked water quality metrics to catchment characteristics using partial least squares regressions and random forests. We found archetypal C‐Q patterns with enrichment dominating NO3− and TOC, and dilution dominating PO43− export. Both the mean NO3− concentrations and their variance among sites increased with agricultural land use. We argue that subsurface denitrification can buffer high nitrogen inputs and cause a decline in concentration with depth, resulting in chemodynamic, strongly positive C‐Q patterns. Mean PO43− concentrations were related to point sources, though the low predictive power suggests effects of unaccounted in‐stream processes. In contrast, high diffuse agricultural inputs explained observed positive PO43− C‐Q patterns. TOC levels were positively linked to the abundance of riparian wetlands, while hydrological descriptors were important for explaining TOC dynamics. Our study shows a strong modulation of anthropogenic inputs by natural controls for NO3− and PO43− concentrations and dynamics, while for TOC only natural controls dominate observed patterns across Germany.
    Description: Plain Language Summary: Phosphorus, nitrogen, and organic carbon are key elements of plants and all living organisms. Humans are altering the nutrient cycles especially, to improve agricultural productivity and through domestic and industrial wastewater. Excess nutrients in surface waters have harmed many aquatic ecosystems by causing toxic algal blooms and a loss of biodiversity. Low nutrient concentrations and habitat variability are similarly important to those ecosystems, but human interference with natural drivers is not yet fully understood. To better understand and disentangle natural or human controls, we investigated nutrient concentrations and their variability across German catchments with varying landscapes and anthropogenic conditions. The human impact is clearly visible for mean nitrate concentrations, while the (natural) subsurface properties mainly controlled the variability of riverine nitrate. In the past, phosphate inputs were usually linked to wastewater, yet we found the control of agricultural activities on concentration dynamics to be unexpectedly high. Organic carbon was mainly associated with natural sources related to riparian wetlands where interactions with other nutrients are possible. This understanding of dominant controls is important in order to adapt management strategies to ensure healthy aquatic ecosystems.
    Description: Key Points: Riverine NO3− dynamics are controlled by vertical concentration heterogeneity, which can result from subsurface denitrification Diffuse P sources exert a strong control on the spatial variability of PO43− export patterns in contrast to point sources Share of riparian wetlands controls the mean TOC concentrations in German catchments
    Description: Deutsche Forschungsgemeinschaft (DFG) http://dx.doi.org/10.13039/501100001659
    Description: Umweltbundesamt (UBA) http://dx.doi.org/10.13039/501100010809
    Description: Deutsche Forschungsgemeinschaft (DFG) http://dx.doi.org/10.13039/501100001659
    Description: Bundesministerium für Bildung und Forschung (BMBF) http://dx.doi.org/10.13039/501100002347
    Keywords: 551.483 ; catchments ; concentration‐discharge relationships ; controls ; nutrients ; water quality
    Type: article
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  • 6
    Publication Date: 2022-04-07
    Description: The higher frequency and intensity of sustained heat events have increased the demand for cooling energy across the globe. Current estimates of summer‐time energy demand are primarily based on Cooling Degree Days (CDD), representing the number of degrees a day's average temperature exceeds a predetermined comfort zone temperature. Through a comprehensive analysis of the historical energy demand data across the USA, we show that the commonly used CDD estimates fall significantly short (±25%) of capturing regional thermal comfort levels. Moreover, given the increasingly compelling evidence that air temperature alone is not sufficient for characterizing human thermal comfort, we extend the widely used CDD calculation to heat index, which accounts for both air temperature and humidity. Our results indicate significant mis‐estimation of regional thermal comfort when humidity is ignored. Our findings have significant implications for the security, sustainability, and resilience of the grid under climate change.
    Description: Plain Language Summary: Hotter summer days and more frequent and intense heatwaves are causing a sharp rise in demand for air conditioning across the globe. Accurate estimation of demand for space cooling is an integral component of resilient planning, operation, and management of the grid. One widely used metric for characterizing this demand is the Cooling Degree Days (CDD), which is calculated by measuring the difference between the mean daily temperature and a pre‐defined base temperature that represents a “comfort zone.” In this study, we analyze historical data on climate and energy demand and find that the most frequently used base temperature of 65°F in CDD calculations leads to mis‐characterizing comfort zones across different geographic areas in the United States. This can cause significant under‐ or over‐estimations of cooling energy demand. Moreover, we extend the temperature‐based CDD calculations to also account for the role of humidity and demonstrate the cost of ignoring humidity in CDD calculations under present and future climate conditions.
    Description: Key Points: Analysis of electricity demand shows that the widely used Cooling Degree Days (CDD) estimates fall short of capturing regional thermal comfort zones. Estimates of air conditioning penetration and affordability based on traditional calculation of CDD can lead to significant misestimation. Extending CDD calculations to include humidity improves the characterization of climate‐demand nexus under present and future climate.
    Description: National Science Foundation (NSF) http://dx.doi.org/10.13039/100000001
    Keywords: ddc:333.79
    Language: English
    Type: doc-type:article
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  • 7
    Publication Date: 2022-04-05
    Description: Human alteration of nutrient cycles has caused persistent and widespread degradation of water quality around the globe. In many regions, including Western Europe, elevated nitrate (NO3−) concentration in surface waters contributes to eutrophication and noncompliance with environmental legislation. Discharge, NO3− concentrations and the vulnerability of the aquatic ecosystems to eutrophication often exhibit a distinct seasonality. Understanding spatial patterns and long‐term trends in this seasonality is crucial to improve water quality management. Here, we hypothesized that NO3− concentrations during high‐flow periods would respond faster to changes in nutrient inputs than low‐flow concentrations because of greater connectivity of shallow diffuse NO3− sources with the river network. To test this hypothesis, we compiled long‐term NO3− and discharge time series from 290 Western European catchments. To characterize the long‐term trajectories of seasonal NO3− concentration, we propose a novel hysteresis approach comparing low‐ and high‐flow NO3− concentration in the context of multi‐decadal N input changes. We found synchronous winter maxima of NO3− and discharge in 84% of the study catchments. However, contrary to our hypothesis, there were surprisingly diverse long‐term trajectories of seasonal NO3− concentration. Both clockwise (faster high‐flow NO3− response) and counterclockwise hysteresis (faster low‐flow NO3− response) occurred in similar proportions, potentially due to a high complexity in the underlying processes. Spatial variability of seasonality in NO3− concentration across the catchments was more pronounced and better predictable than its long‐term variability. This work demonstrates the value of seasonal and inter‐annual hydrochemical analysis and provides new tools for water quality monitoring and management.
    Description: Plain Language Summary: Nitrogen is an essential element of all living organisms and has thus often been used excessively as fertilizer to secure food production. However, surface waters can suffer from elevated nutrients inputs, causing toxic algal blooms and impairing drinking water quality, especially during summer low flows. To manage water quality, it is crucial to understand these seasonal variations of nitrogen and discharge and the underlying processes. We used data from 290 catchments in France and Germany to characterize average seasonality patterns and their long‐term evolution across the variety of landscapes and human influences. This allowed classifying catchment behavior and linking them to controls. As expected, both nitrogen and discharge peak during winter in most catchments (84%). However, there are well explainable deviations, for example, in mountainous regions. The long‐term evolution of seasonality was more diverse than expected suggesting a complex interplay of various processes with the long input history from fertilization and wastewater being part of the controls. We found that the differences among catchments were greater than the long‐term changes of seasonality within most catchments. By identifying catchment typologies, our study increases the understanding of nitrate seasonality patterns across a large extent and thus supports ecological water quality management.
    Description: Key Points: Spatial patterns of nitrate and discharge seasonality are linked to topography and hydroclimate with winter maxima dominating for both. After decreasing nutrient inputs, cases with decreases in river nitrate preceding during low‐ and high‐flow seasons occurred equally often. Spatial variability of nitrate seasonality is greater and more predictable from catchment characteristics than its long‐term variability.
    Description: Deutsche Forschungsgemeinschaft (DFG) http://dx.doi.org/10.13039/501100001659
    Description: Helmholtz Association http://dx.doi.org/10.13039/501100009318
    Description: US National Science Foundation (NSF)
    Keywords: ddc:551
    Language: English
    Type: doc-type:article
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  • 8
    Publication Date: 2023-01-25
    Description: Drought poses significant challenges to global water security in a warming world. A global‐scale synthesis of the multivariate drought risk considering interdependencies between drought attributes across disparate climate regimes is still lacking. Leveraging precipitation and streamflow observations of 270 large catchments over the globe, we show that multivariate drought hazard amplifies significantly (at ∼65–76% of catchments) considering dependence between drought duration and severity. A signifying nature of this amplification (A) is the power‐law scaling with dependence metric (A∝τλ;λ=5−12; $A\propto {\tau }^{\lambda };\,\lambda =5-12;$ where τ and λ are Kendall's correlation and the scaling exponent), revealing current approaches considering drought attributes as independent or linearly dependent will severely underestimate likelihood of extreme droughts. Furthermore, we find disparate responses in the multivariate imprints of meteorological to hydrological droughts across climate types, with strengths varying from large to modest in Tropics and Mid‐latitudes, which indicates weaker overlap between rain‐deficit and streamflow droughts. In contrast, a strong overlap in multivariate hazards of rain‐deficit and streamflow droughts is apparent across transitional Subtropics. Our study highlights the relevance of accounting for multivariate aspects of drought hazards to inform adaptation to water scarcity in a changing climate.
    Description: Plain Language Summary: The world's large river basins support a huge population and diverse ecosystems. A growing body of the literature suggests holistic risk management requires a “multivariate event perspective” to analyze interacting drought attributes rather than each of these drivers in isolation. Using the gauge‐based observational framework, we show a robust amplification in multivariate drought hazard and this response co‐vary among distinct climate regimes. Our multivariate hazard framework shows a contrasting response in multivariate imprints (or degree of overlap) of rain‐deficit (drivers) to streamflow (response)‐droughts across disparate climate regimes for milder and extreme categories of droughts; from substantial regional variations in multivariate drought hazard in tropics and mid‐latitudes, revealing a weak imprint between drought types. In contrast, the transitional subtropics show a modest variation in the multivariate imprint of drought types, indicating stronger imprint. We emphasize that failure to account for nonlinear interactions among interacting drought attributes will severely underestimate the extreme drought hazard, jeopardizing the adequacy of resilient water infrastructure design. The insights will aid in adaptation to extreme droughts under global warming.
    Description: Key Points: Global synthesis of multivariate drought imprints between rain‐deficit and streamflow droughts. Observational assessment showed strong amplifications in bivariate drought hazards to dependence. Strong imprints between rain‐deficit and streamflow droughts in transitional sub‐tropics.
    Description: Department of Science and Technology, Ministry of Science and Technology, India http://dx.doi.org/10.13039/501100001409
    Description: German Academic Exchange Service New Delhi http://dx.doi.org/10.13039/501100001650
    Description: Science and Engineering Research Board http://dx.doi.org/10.13039/501100001843
    Description: Indian Institute of Technology Kharagpur http://dx.doi.org/10.13039/501100008984
    Description: Deutscher Akademischer Austauschdienst http://dx.doi.org/10.13039/501100001655
    Description: https://portal.grdc.bafg.de/applications/public.html?publicuser=PublicUser
    Description: https://opendata.dwd.de/climate_environment/GPCC/html/download_gate.html
    Keywords: ddc:551.5 ; hydrological drought ; meteorological drought ; multivariate drought hazard
    Language: English
    Type: doc-type:article
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  • 9
    Publication Date: 2022-07-28
    Description: During the period 2018–2020, Europe experienced a series of hot and dry weather conditions with significant socioeconomic and environmental consequences. Yet, the extremity of these multi‐year dry conditions is not recognized. Here, we provide a comprehensive spatio‐temporal assessment of the drought hazard over Europe by benchmarking past exceptional events during the period from 1766 to 2020. We identified the 2018–2020 drought event as a new benchmark having an unprecedented intensity that persisted for more than 2 years, exhibiting a mean areal coverage of 35.6% and an average duration of 12.2 months. What makes this event truly exceptional compared with past events is its near‐surface air temperature anomaly reaching +2.8 K, which constitutes a further evidence that the ongoing global warming is exacerbating present drought events. Furthermore, future events based on climate model simulations Coupled Model Intercomparison Project v5 suggest that Europe should be prepared for events of comparable intensity as the 2018–2020 event but with durations longer than any of those experienced in the last 250 years. Our study thus emphasizes the urgent need for adaption and mitigation strategies to cope with such multi‐year drought events across Europe.
    Description: Plain Language Summary: This manuscript demonstrates that the 2018–2020 multi‐year drought event constitutes a new benchmark in Europe, with an unprecedented level of intensity over the past 250 years. What makes this event truly exceptional compared with past events is its temperature anomaly reaching +2.8 K. This finding provides new evidence that the ongoing global warming exacerbates current drought events. The key message of this study is that the projected future events across the European continent will have a comparable intensity as the 2018–2020 drought but exhibit considerably longer durations than any of those observed during the last 250 years. Our analysis also shows that these exceptional temperature‐enhanced droughts significantly negatively impact commodity crops across Europe.
    Description: Key Points: The 2018–2020 multi‐year drought shows unprecedented level of intensity during the past 250 years. The 2018–2020 event reached record‐breaking +2.8 K temperature anomaly and negatively impacted major crops. Future drought events reach comparable intensity of 2018–2020 but with considerably longer durations.
    Description: Deutsche Forschungsgemeinschaft (DFG) http://dx.doi.org/10.13039/501100001659
    Description: Grantová Agentura České Republiky (GAČR) http://dx.doi.org/10.13039/501100001824
    Description: Helmholtz‐Fonds (Helmholtz‐Fonds e.V.) http://dx.doi.org/10.13039/501100013655
    Keywords: ddc:551.6
    Language: English
    Type: doc-type:article
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  • 10
    Publication Date: 2020-07-02
    Electronic ISSN: 2045-2322
    Topics: Natural Sciences in General
    Published by Springer Nature
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