Results 71 to 80 of about 2,677,857 (208)
ABSTRACT Maintaining the environment and functionality of rivers is crucial for the natural environment and socioeconomic activities. In Kochi Prefecture, field measurements of turbidity have been conducted to contribute to countermeasures against prolonged turbid water in the Monobe River; however, a detailed understanding of turbidity across the ...
Naoyuki Hashimoto+2 more
wiley +1 more source
Spatial Variability of Long‐Term Streamflow Trends in the Southeastern United States
ABSTRACT We assessed long‐term discharge trends for 189 streams and rivers from the Mountain, Piedmont, Southeastern Plains, and Coast ecoregions of Georgia, South Carolina, and North Carolina, U.S.A. Trends over time of average annual discharge volumes (gages with 50+ years of data), average annual groundwater levels (gages with 30+ years of data; n =
Kelsey A. Wilbanks+2 more
wiley +1 more source
An intelligent algorithm to fast and accurately detect chaotic correlation dimension
Abstract Detecting the complexity of natural systems, such as hydrological systems, can help improve our understanding of complex interactions and feedback between variables in these systems. The correlation dimension method, as one of the most useful methods, has been applied in many studies to investigate the chaos and detect the intrinsic dimensions
Mengyan Shen+3 more
wiley +1 more source
This study evaluates the impact of climate change (CC) on runoff and hydrological drought trends in the Hablehroud river basin in central Iran. We used a daily time series of minimum temperature (Tmin), maximum temperature (Tmax), and precipitation (PCP)
Morteza Lotfirad+4 more
doaj +1 more source
Multifractal Description of Streamflow and Suspended Sediment Concentration Data from Indian River Basins [PDF]
This study investigates the multifractality of streamflow data of 192 stations located in 13 river basins in India using the Multifractal Detrended Fluctuation Analysis (MF-DFA). The streamflow datasets of different river basins displayed multifractality and long term persistence with a mean exponent of 0.585.
arxiv
A Data Scientist's Guide to Streamflow Prediction [PDF]
In recent years, the paradigms of data-driven science have become essential components of physical sciences, particularly in geophysical disciplines such as climatology. The field of hydrology is one of these disciplines where machine learning and data-driven models have attracted significant attention.
arxiv
Abstract Regulators increasingly require organisations to disclose their climate‐related financial risks. Most future physical climate risks present unique challenges, however, as their likely occurrence and consequence cannot be quantified with veracity at business‐relevant scales.
Tanya Fiedler+3 more
wiley +1 more source
Quantification and Analysis of Hydrograph Behavior Using Groundwater Signatures
Abstract The study of hydraulic head changes over time is a common task for groundwater hydrologists. Groundwater signatures are numerical metrics, or statistical aggregates, that quantify the behavior observed in hydraulic head hydrographs. Signatures can be helpful in a number of classical hydrological tasks, such as hydrograph classification ...
Raoul A. Collenteur+2 more
wiley +1 more source
Transience of Coastal Water Table Rise in Response to Sea‐Level Rise
Abstract Coastal shallow groundwater is susceptible to adverse sea‐level rise (SLR) impacts. Existing research primarily focuses on SLR‐induced salinization of coastal aquifers. There is limited understanding of the magnitudes and rates of water table rise in response to SLR, which could lead to groundwater flooding and associated infrastructure ...
Amandine L. Bosserelle, Leanne K. Morgan
wiley +1 more source
Projected changes of rainfall seasonality and dry spells in a high concentration pathway 21st century scenario [PDF]
In this diagnostic study we analyze changes of rainfall seasonality and dry spells by the end of the twenty-first century under the most extreme IPCC5 emission scenario (RCP8.5) as projected by twenty-four coupled climate models participating to Coupled Model Intercomparison Project 5.
arxiv +1 more source