Search Results Heading

MBRLSearchResults

mbrl.module.common.modules.added.book.to.shelf
Title added to your shelf!
View what I already have on My Shelf.
Oops! Something went wrong.
Oops! Something went wrong.
While trying to add the title to your shelf something went wrong :( Kindly try again later!
Are you sure you want to remove the book from the shelf?
Oops! Something went wrong.
Oops! Something went wrong.
While trying to remove the title from your shelf something went wrong :( Kindly try again later!
    Done
    Filters
    Reset
  • Discipline
      Discipline
      Clear All
      Discipline
  • Is Peer Reviewed
      Is Peer Reviewed
      Clear All
      Is Peer Reviewed
  • Series Title
      Series Title
      Clear All
      Series Title
  • Reading Level
      Reading Level
      Clear All
      Reading Level
  • Year
      Year
      Clear All
      From:
      -
      To:
  • More Filters
      More Filters
      Clear All
      More Filters
      Content Type
    • Item Type
    • Degree Type
    • Is Full-Text Available
    • Subject
    • Country Of Publication
    • Publisher
    • Source
    • Granting Institution
    • Donor
    • Language
    • Place of Publication
    • Contributors
    • Location
5,838 result(s) for "Streamflow."
Sort by:
The CH-IRP data set: a decade of fortnightly data on delta.sup.2H and delta.sup.18O in streamflow and precipitation in Switzerland
The stable isotopes of oxygen and hydrogen, .sup.18 O and .sup.2 H, provide information on water flow pathways and hydrologic catchment functioning. Here a data set of time series data on precipitation and streamflow isotope composition in medium-sized Swiss catchments, CH-IRP, is presented that is unique in terms of its long-term multi-catchment coverage along an alpine to pre-alpine gradient. The data set comprises fortnightly time series of both [delta].sup.2 H and [delta].sup.18 O as well as deuterium excess from streamflow for 23 sites in Switzerland, together with summary statistics of the sampling at each station. Furthermore, time series of [delta].sup.18 O and [delta].sup.2 H in precipitation are provided for each catchment derived from interpolated data sets from the ISOT, GNIP and ANIP networks. For each station we compiled relevant metadata describing both the sampling conditions and catchment characteristics and climate information. Lab standards and errors are provided, and potentially problematic measurements are indicated to help the user decide on the applicability for individual study purposes. For the future, the measurements are planned to be continued at 14 stations as a long-term isotopic measurement network, and the CH-IRP data set will, thus, continuously be extended. The data set can be downloaded from data repository Zenodo at
Modeling shallow water flows using the discontinuous Galerkin method
Replacing the Traditional Physical Model Approach. Computational models offer promise in improving the modeling of shallow water flows. As new techniques are considered, the process continues to change and evolve. Modeling Shallow Water Flows Using the Discontinuous Galerkin Method examines a technique that focuses on hyperbolic conservation laws and includes one-dimensional and two-dimensional shallow water flows and pollutant transports. Combines the Advantages of Finite Volume and Finite Element Methods.
Strichartz Estimates and the Cauchy Problem for the Gravity Water Waves Equations
This memoir is devoted to the proof of a well-posedness result for the gravity water waves equations, in arbitrary dimension and in fluid domains with general bottoms, when the initial velocity field is not necessarily Lipschitz. Moreover, for two-dimensional waves, we can consider solutions such that the curvature of the initial free surface does not belong to The proof is entirely based on the Eulerian formulation of the water waves equations, using microlocal analysis to obtain sharp Sobolev and Hölder estimates. We first prove tame estimates in Sobolev spaces depending linearly on Hölder norms and then we use the dispersive properties of the water-waves system, namely Strichartz estimates, to control these Hölder norms.
Exacerbated Variability and Extremes in Streamflow Across Half of China From 1961 to 2018
Global warming has significantly altered the hydrological cycle and increased the frequency and intensity of extreme hydrological events. Therefore, quantifying trends in the variability and extremes of streamflow is crucial for deepening our understanding of changes in the hydrological cycle. However, comprehensive nationwide studies of extreme streamflow trends across China remain scarce. In this study, we explored trends in the variability and extremes of seasonal streamflow from 1961 to 2018 over China using gridded monthly streamflow data. The results revealed a significant increase in the streamflow variability and extremes in approximately half of the country (35.9%–52.9% of the grid points), with particularly strong increases in the Northwest River Basin (over 52% of the grid points). Additionally, we found a strong positive correlation between streamflow variability and extremely high streamflows across China (r > 0.41, p < 0.05). Furthermore, at the seasonal scale, the largest increases in trends of streamflow extremes were observed in summer (mean slope = 0.094 mm mo−1 yr−1), whereas autumn exhibits milder decreases (mean slope = −0.0009 mm mo−1 yr−1) for a large number (>25.8%) of grid points. These findings address a critical knowledge gap by providing a comprehensive nationwide assessment of seasonal streamflow variability and extreme trends in China and offering new perspectives for the development of sustainable strategies for watershed and water resource management.
Influence of anthropogenic effects and climate variability on streamflow in a Brazilian tropical watershed
Recently, there has been an increase in the number of natural disasters caused by extreme events, which are enhanced by climate change and anthropogenic interference. Therefore, understanding the hydrological behavior in areas with high vulnerability to floods and water scarcity is essential to capably manage water resources. In this context the study aimed to analyze the streamflow trend in the Piranga river basin, as well as to evaluate the determining factors in the streamflow variation regime in the watershed. For this reason, historical series of seven stream gauging stations were analyzed, adopting the base period of studies from 1975 to 2018. In order to identify the trend in maximum, average and minimum streamflow data, the Mann–Kendall, Pettitt and Spearman correlation tests were used. To understand the possible causes of streamflow trends, precipitation data, land use and occupation, and water demand were analyzed. It was observed that all stations showed some significant trend of streamflow reduction, especially in the dry season, having reduced from 10 to 35% comparing to the historical series average. On an annual scale, significant trends of reduction in average and minimum streamflow were detected. The change in streamflow behavior was not related to the distribution of precipitation over the years in the watershed. The cause of streamflow reduction may be related to the increase in water demand and with changes in land use and occupation, mainly characterized by the increase in planted forest, forest formation and urban areas and the reduction of areas destined to agriculture. The methodology proposed in this study can be adapted to other watersheds in the world, aiming to assist in the planning of water resources.