Seasonal discharge forecasting for the Upper Danube

Santos, Ignacio Martin; Herrnegger, Mathew; Holzmann, H.

doi:10.1016/j.ejrh.2021.100905

Cited by 5 publications

(4 citation statements)

References 44 publications

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“…It is sure that the tendency of climate in this century in the Danube Basin will be very much like that of the end of the last past one, with rising values of extreme hotness and hightemperature waves and frequency [77][78][79][80][81][82][83][84][85][86][87][88][89][90][91]; this reaffirms the challenge for specific research based on field inventories of existent problems and update suggestions of proactively management plans including for key indicator species like Umbra krameri.…”

Section: Introductionmentioning

confidence: 85%

“…In the climate change context, the temperature raises all-around [76], even in surprising regions, like in a relative moderate climate of Danube Basin [77][78][79][80][81][82][83][84][85][86][87][88][89][90].…”

Section: Introductionmentioning

confidence: 99%

“…The Danube Basin, due to the climate change effects together with other human activities' impact, present changes of temperature, precipitation, and hydrological regime [91][92][93][94][95][96][97][98][99][100] and of features of the associated aquatic communities. Overall, the climate change was identified as a new water management main issue in this basin [77][78][79][80][81][82][83][84][85][86][87].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Stepping Stone Wetlands, Last Sanctuaries for European Mudminnow: How Can the Human Impact, Climate Change, and Non-Native Species Drive a Fish to the Edge of Extinction?

et al. 2022

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Throughout their history humans “tamed” not only the Danube River basin land, but also the river and its associated wetlands, drastically influencing their characteristic habitats, associations, communities, and species. One of these flagship endemic fish species in this respect is the European mudminnow (Umbra krameri Walbaum, 1792), influenced by Danube Basin geography, history, politics, and ecology. A study about this European community concern species in the context of long term human impact on its specific habitats, with potential synergic negative effects of climate change, was treated as highly needed, in an international researchers group initiative to support the efforts to provide hope for preserving this fish species and its ecosystems, and brought it back from the brink of extinction. All the characteristic inventoried wetlands which were or some of them still are natural, semi-natural, or accidental anthropogenic habitats, reveal an accentuated diminishing trend of this species areal continuity; fragmentation being the force which skewed it drastically untill now, and inducing diminishing the specific habitats quantitative and qualitative characteristics in the Danube Basin where these fish fight for survival. The main categories of human activities which impacted the climate changes in the context of this species’ habitats are: water regulation, pollution, dredging, draining, and introduction of non-native species. Overall, the diverse human impact in a climate changes in the context of this species’ habitats, Umbra krameri wetlands, creates serious perspectives on negatively influencing this at a very high scale and level. All the inventoried wetlands where Umbra krameri still survive can be considered an ecologically managed as a refuge and stepping stone wetlands, especially in the increasing climate change trend situation. Supplementary inventory studies in the field should be done for the identification of some may be unknown Umbra krameri habitats and populations.

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Section: Introductionmentioning

confidence: 85%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Stepping Stone Wetlands, Last Sanctuaries for European Mudminnow: How Can the Human Impact, Climate Change, and Non-Native Species Drive a Fish to the Edge of Extinction?

et al. 2022

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“…In meteorological time series, Autoregressive Integrated Moving Average (ARIMA) can be utilized to predict changes in the water resources [103]. Recently data assimilation has been implemented in shallow water models [104], in-situ remote sensing data surface water temperature [105], water temperature [106], spatio-temporal & real-time measurements [99], discharge forecasting [107] and the control of hydrometeorological variables [108]. The use of artificial neural network (ANN) ensemble models with their ability to combine data-driven models with one prediction rather than using a single model is gaining in popularity [109].…”

Section: Water Quality and Quantity Modellingmentioning

confidence: 99%

Surface Water Monitoring Systems—The Importance of Integrating Information Sources for Sustainable Watershed Management

2023

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The complex interactions from anthropogenic activities, climate change, sedimentation and the input of wastewater has significantly affected the aquatic environment and entire ecosystem. Over the years, the researchers have investigated water monitoring approaches in terms of traditional monitoring or even integrated systems to handle such an environmental assessment and predictions based on warning systems. However, research into the selection and optimisation of water monitoring systems by the combination of parallel approach in terms of sampling techniques, process analysis and results is limited. The research objectives of the present study are to evaluate the existing water monitoring systems based on the latest approach and then provide insights into factors affecting sensor implementation at sampling locations. Here we summarize the advancement and trends of various water monitoring systems as well as the suitability of sensor placement in the area by reviewing more than 300 papers published between 2011 and 2022. The research highlights the urgency of an integrative approach with regard to water monitoring systems including water quality model and water quantity model. A framework is proposed to incorporate all water monitoring approaches, sampling techniques, and predictive models to provide comprehensive information about environmental assessment. It was observed that the urgency of model-based approaches as verification and fusion of data assemble has the ability to improve the performances of the systems. Furthermore, integrated systems with the inclusion of a separate modeling approach through integrated -semi-mechanistic models, data science and artificial intelligence are recommended in the future. Overall, this study provides guidelines for achieving standardized water management by implementing integrated water monitoring systems INDEX TERMS infrastructure, integrated monitoring, water monitoring system, modelling, water quality

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