Multivariate statistical techniques (e.g. Principal Component Analysis and Hierarchical Cluster Analysis) were applied to groundwater chemistry data to identify hydrochemical facies which are characteristic of distinct evolutionary pathways and a common hydrologic history of groundwaters.
By identifying hydrologic relationships between watersheds through an initial regionalization of mean annual streamflow time-series data, hydrologic regimes, each composed of watersheds with common hydrologic controlling variables, were identified.
This finding suggests that changes in the BU rates in the Abomey, Agbangnizoun, and Zogbodomey districts remained stable because of common hydrologic relationships.
By providing a stable and common referencing system for hydrologic features, the model will assist in the organization of observation and modelling of such features, and in the aggregation of generated data on a global, regional, national or basin scale.
A stormwater infiltration basin in north central Florida, USA, was monitored from 2007 through 2008 to identify subsurface biogeochemical processes, with emphasis on N cycling, under the highly variable hydrologic conditions common in humid, subtropical climates.
Furthermore, the model was able to handle spatial dependency in data while avoiding the common problem of nested input in hydrologic modeling.
Here, the scope of common approaches to information modelling of hydrologic features is examined, and is compared to the requirements for feature identification in multiple contexts.
Using the HBV hydrologic model and four different simple but common PET methods (Hamon, Priestly-Taylor, Oudin, and Hargreaves), we simulated 60+ years of daily discharge on four rivers in New York state.
Regardless, sensitivity analysis using uniform climate input data is common for localized climate modeling to bookend the range of hydrologic responses from climate change [5], [11], [20], [21].
Climate extremes, such as heavy precipitation events, have become more common in recent decades, and nonstationarity concepts have increasingly been adopted to model hydrologic extremes.
Significance: Hydrologic fracturing, or "fracking," to extract shale gas has become increasingly common, as enormous resources of shale gas have been reported to exist in the United States and internationally.
