4.7 Article

How many tracers do we need for end member mixing analysis (EMMA)? A sensitivity analysis

期刊

WATER RESOURCES RESEARCH
卷 47, 期 -, 页码 -

出版社

AMER GEOPHYSICAL UNION
DOI: 10.1029/2011WR010604

关键词

-

资金

  1. German Science Foundation (DFG) [FG 536]

向作者/读者索取更多资源

End member mixing analysis (EMMA) is a commonly applied method to identify and quantify the dominant runoff producing sources of water. It employs tracers to determine the dimensionality of the hydrologic system. Many EMMA studies have been conducted using two to six tracers, with some of the main tracers being Ca, Na, Cl-, water isotopes, and alkalinity. Few studies use larger tracer sets including minor trace elements such as Li, Rb, Sr, and Ba. None of the studies has addressed the question of the tracer set size and composition, despite the fact that these determine which and how many end members (EM) will be identified. We examine how tracer set size and composition affects the conceptual model that results from an EMMA. We developed an automatic procedure that conducts EMMA while iteratively changing tracer set size and composition. We used a set of 14 tracers and 9 EMs. The validity of the resulting conceptual models was investigated under the aspects of dimensionality, EM combinations, and contributions to stream water. From the 16,369 possibilities, 23 delivered plausible results. The resulting conceptual models are highly sensitive to the tracer set size and composition. The moderate reproducibility of EM contributions indicates a still missing EM. It also emphasizes that the major elements are not always the most useful tracers and that larger tracer sets have an enhanced capacity to avoid false conclusions about catchment functioning. The presented approach produces results that may not be apparent from the traditional approach and it is a first step to add the idea of statistical significance to the EMMA approach.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

Article Ecology

Variability in tree water uptake determined with stable water isotopes in an African tropical montane forest

Melanie Hahn, Suzanne Robin Jacobs, Lutz Breuer, Mariana C. Rufino, David Windhorst

Summary: Ecohydrological processes in tropical rainforests are not well understood, with contradictory results in existing studies. Our research in a tropical montane forest in Kenya identified individual tree differences in water uptake but no consistent species-specific or small-scale spatiotemporal patterns, highlighting the importance of considering lateral variability of soil water isotopes for accurate modeling. Further research on water flux processes in forest ecosystems is needed to improve the validity and comparability of mixing model results.

ECOHYDROLOGY (2021)

Review Water Resources

A field, laboratory, and literature review evaluation of the water retention curve of volcanic ash soils: How well do standard laboratory methods reflect field conditions?

Giovanny M. Mosquera, Marin Franklin, Feyen Jan, Celleri Rolando, Breuer Lutz, Windhorst David, Crespo Patricio

Summary: The study reveals that standard laboratory methods using small sample volumes only partially mimic the water retention curve of Andosols, and significantly overestimate the water content at higher matric potentials.

HYDROLOGICAL PROCESSES (2021)

Article Environmental Sciences

Detection of hidden model errors by combining single and multi-criteria calibration

T. Houska, P. Kraft, F. U. Jehn, K. Bestian, D. Kraus, L. Breuer

Summary: The study combines single and multi-criteria model assessment approaches, revealing common mistakes in water quality and environmental model development and emphasizing the inclusion of diverse observational data for comprehensive model evaluation.

SCIENCE OF THE TOTAL ENVIRONMENT (2021)

Article Environmental Sciences

Storage-Discharge Relationships under Forest Cover Change in Ethiopian Highlands

Solomon Gebreyohannis Gebrehiwot, Lutz Breuer, Steve W. Lyon

Summary: This study assesses the impacts of forest cover changes on the storage-discharge relationships in three meso-scale watersheds in the highlands of Ethiopia. The analysis shows that as natural forest cover decreases, the recession slopes and total storages increase in the watersheds, while afforestation leads to faster drainage and reduction in storage. This work highlights the importance of considering storage-discharge relationships for evaluating the impacts of forest cover change on water resources in regions experiencing active and rapid land use change.
Article Environmental Sciences

Urbanisation process generates more independently-acting stressors and ecosystem functioning impairment in tropical Andean streams

Carlos Iniguez-Armijos, Maria Fernanda Tapia-Armijos, Frank Wilhelm, Lutz Breuer

Summary: The study highlights the lack of understanding of multiple stressors on urbanized Andean streams, where urbanization mostly impacts stream ecosystems through water-chemistry and physical-habitat stressors, with ecosystem functioning being more affected than structural attributes. It suggests that managers should focus on reducing important stressors rather than investigating complex stressor interactions, and that stream biomonitoring programs would benefit from a combination of structural and functional indicators in assessing anthropogenic effects.

JOURNAL OF ENVIRONMENTAL MANAGEMENT (2022)

Article Water Resources

Multi-model evaluation of catchment- and global-scale hydrological model simulations of drought characteristics across eight large river catchments

Amit Kumar, Simon N. Gosling, Matthew F. Johnson, Matthew D. Jones, Jamal Zaherpour, Rohini Kumar, Guoyong Leng, Hannes Muller Schmied, Jenny Kupzig, Lutz Breuer, Naota Hanasaki, Qiuhong Tang, Sebastian Ostberg, Tobias Stacke, Yadu Pokhrel, Yoshihide Wada, Yoshimitsu Masaki

Summary: This study evaluated the simulations of hydrological droughts from nine catchment scale hydrological models (CHMs) and eight global scale hydrological models (GHMs) for eight large catchments. The results showed that the CHMs performed relatively better than the GHMs in simulating monthly runoff-deficits, but all the models had limited abilities to accurately simulate drought events.

ADVANCES IN WATER RESOURCES (2022)

Correction Multidisciplinary Sciences

Trade-offs between parameter constraints and model realism: a case study (vol 9, 10729, 2019)

Florian U. Jehn, Alejandro Chamorro, Tobias Houska, Lutz Breuer

SCIENTIFIC REPORTS (2022)

Article Environmental Sciences

Focus of the IPCC Assessment Reports Has Shifted to Lower Temperatures

Florian U. Jehn, Luke Kemp, Ekaterina Ilin, Christoph Funk, Jason R. Wang, Lutz Breuer

Summary: This article focuses on the shifting emphasis on different global temperature increases in IPCC reports over time. The recent fifth and sixth assessment reports have shown a significantly stronger focus on warming below 2 degrees C, which is concerning as warming above 2 degrees C is more likely and has a greater impact on climate risk assessments.

EARTHS FUTURE (2022)

Article Environmental Sciences

Accuracy assessment of inverse distance weighting interpolation of groundwater nitrate concentrations in Bavaria (Germany)

Paul L. Ohlert, Martin Bach, Lutz Breuer

Summary: This study evaluates the accuracy of inverse distance weighting (IDW) in designating nitrate vulnerable zones. Using a dataset of 5790 groundwater monitoring sites in Bavaria, the results show that IDW interpolation method has significant errors in determining areas with groundwater nitrate concentration above the threshold. The average absolute error of nitrate concentration is 7.0 mg NO3/l, and the number of measurement sites above 50 mg NO3/l is underestimated. These underestimations persist even when the interpolation is done separately for hydrogeological regions. Therefore, IDW method is not reliable for the designation of nitrate vulnerable zones.

ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH (2023)

Article Environmental Sciences

Number of Chamber Measurement Locations for Accurate Quantification of Landscape-Scale Greenhouse Gas Fluxes: Importance of Land Use, Seasonality, and Greenhouse Gas Type

E. G. Wangari, R. M. Mwanake, D. Kraus, C. Werner, G. M. Gettel, R. Kiese, L. Breuer, K. Butterbach-Bahl, T. Houska

Summary: The study quantified the landscape soil greenhouse gas exchange within 6 km² in central Germany using fast-box chamber technique. Results showed that seasonality and land use had significant impacts on fluxes, while soil type and slope had minor effects. Additionally, more chamber measurement locations are needed to assess landscape-scale N2O fluxes compared to CO2 and CH4.

JOURNAL OF GEOPHYSICAL RESEARCH-BIOGEOSCIENCES (2022)

Article Mathematics

Adapting Strategies for Effective Schistosomiasis Prevention: A Mathematical Modeling Approach

Zadoki Tabo, Chester Kalinda, Lutz Breuer, Christian Albrecht

Summary: Schistosomiasis is a deadly neglected tropical disease. A mathematical model is proposed to evaluate the impact of four strategies to control its spread. The results show that combining chemotherapy, awareness programs, snail and molluscicide removal, and considering temperature changes can effectively eradicate the disease. However, adapting strategies based on weather patterns and seasonal climates is necessary for successful control.

MATHEMATICS (2023)

Article Ecology

Anthropogenic activities significantly increase annual greenhouse gas (GHG)fluxes from temperate headwater streams in Germany

Ricky Mwangada Mwanake, Gretchen Maria Gettel, Elizabeth Gachibu Wangari, Clarissa Glaser, Tobias Houska, Lutz Breuer, Klaus Butterbach-Bahl, Ralf Kiese

Summary: Anthropogenic activities significantly increase GHG emissions in inland waters, with land use being more influential than seasonality. Agriculture-dominated catchments and streams with wastewater inflows have much higher and more variable emissions of CO2, CH4, and N2O compared to forested streams. Nutrient, labile carbon, and dissolved GHG inputs from agricultural and settlement areas contribute to these hotspots and hot-moments of fluvial GHG emissions. The annual emissions from anthropogenic-influenced streams are up to 20 times higher than natural streams, primarily driven by CO2.

BIOGEOSCIENCES (2023)

Article Water Resources

Simple Catchments and Where to Find Them: The Storage-Discharge Relationship as a Proxy for Catchment Complexity

Florian U. Jehn, Lutz Breuer, Philipp Kraft, Konrad Bestian, Tobias Houska

Summary: Hydrological theory often assumes an exponential relationship between storage and discharge. However, in reality, only a fraction of catchments exhibit this behavior, with most catchments showing complex and irregular patterns in their storage-discharge relationship.

FRONTIERS IN WATER (2021)

Article Water Resources

Monitoring of Suspended Sediments in a Tropical Forested Landscape With Citizen Science

Naomi Njue, Jan Graf, Bjorn Weeser, Mariana C. Rufino, Lutz Breuer, Suzanne R. Jacobs

Summary: This study evaluates the potential of using a citizen science approach to explore spatiotemporal turbidity and suspended sediment dynamics in the Sondu-Miriu river basin, western Kenya. The comparison between citizen-scientist collected data and measurements from automated stations showed high correlation, indicating that citizen scientists can provide comparable data. However, the precision of measurements of suspended sediment concentrations varied due to detection limitations and capturing events, with forest cover being identified as a key factor in controlling suspended sediment concentrations in the region. Future citizen science projects should focus on motivation strategies and application of robust methods for improved hydrological monitoring.

FRONTIERS IN WATER (2021)

Article Water Resources

Application of Machine Learning Models to Predict Maximum Event Water Fractions in Streamflow

Amir Sahraei, Alejandro Chamorro, Philipp Kraft, Lutz Breuer

Summary: The study investigated the potential of using precipitation, soil moisture, and air temperature as input features to predict maximum event water fractions, and found that both Artificial Neural Network (ANN) and Support Vector Machine (SVM) algorithms show promise in the field of hydrology. SVM outperformed ANN in predicting maximum event water fractions, capturing the dynamics of their changes more effectively.

FRONTIERS IN WATER (2021)

暂无数据