It is also a difficult task in practice when analyzing hydrologic series with complicated stochastic characteristics.
In this paper we describe a freely available and open source software tool, called HydroDesktop, that can be used for discovering, downloading, managing, visualizing, and analyzing hydrologic data.
A problem set involves analyzing hydrologic cycles and climatology through flux and surface exchange measurements from data loggers around campus.
Using standards to achieve the steps required to find, gather, integrate, and analyze hydrologic data allows for a wide community of groups to participate because it establishes key rules and protocols that must be followed in order to add to the overarching system.
Two different models for analyzing extreme hydrologic events are compared, based on, PDS and annual maximum series (AMS), respectively.
By linking these two systems within a single desktop software application, an integrated hydrologic data management and analysis environment has been created that simplifies the process used by scientists and engineers to find, access, organize, and analyze the hydrologic data needed in modeling and managing hydrologic and environmental systems.
This study develops a new method for analyzing the terrestrial hydrologic responses to precipitation through using level-based daily anomalous high flow (DAHF) occurrence in a catchment.
This paper focuses in analyzing the soil hydrologic features in La Violada Irrigation District (VID; a 5234 ha semi-arid irrigated area recently modernized in northeast Spain) usable in soil water models for the evaluation of the new irrigation system.
The objective of this two-part study is to define homogeneous zones in relation to hydrological properties relevant for irrigation management, first defining the soil variability within the VID and then analyzing the soils hydrologic and salinity features (in a companion paper).
Physical modeling involved creating a model for the 2007 flood, analyzing the results using Hydrologic Engineering Center – Hydrologic Modeling System (HEC-HMS), predicting variation in watershed parameters, and creating accessible maps for the public.
In this paper, the moving-window correlation analysis method (MWCA) has been proposed for analyzing the periodic component of hydrologic series, which includes construction of periodic processes, significant test of periods and time frequency analysis.
