Determination of Design Floods by Aspects of Peak Flow and Flood Hydrograph in Watershed of Larbaâ River, Taza (Morocco)

The major task of a hydrology study is to compute the design flow. There are conceptual and empirical methods for computation of design flow. The following paper shows the Gradex method estimating the design flood and the volumes corresponding of flows. This approach allowed us to know the design floods by aspects of peak flow and flood hydrograph. The study is based on long series of observations (49 years) of the annual maximum daily rainfall, and the Intensity-Duration-Frequency curves of the raingauge station of Taza located in the Larbaâ catchment. The Gradex method aims to find the maximum flow of floods for the rare frequency of occurrence (return time over 100 years). Hence, we attempted to explains why and how the combined use of rainfall and floods of different sub-catchments of Larbaâ River.

Solute-Transport under Fluctuating Groundwater Flow in Homogeneous Finite Porous Domain

In this paper a theoretical model is developed for the advection dispersion problem in one-dimensional porous media with two considerations: one the flow is periodic and the second dispersion coefficient is directly proportional to the seepage velocity. The porous domain is homogeneous, isotropic and of adsorbing nature. A time dependent periodic point source is considered at the source boundary. Different boundary conditions are considered at outlet of the domain. In first case, the mixed type and in second case flux type boundary conditions are considered. For both cases, input source are same. We studied the influence on concentration profiles due to different boundary conditions in the domain. The derived solution is also extended in semi-infinite domain. The Laplace Transformation Technique (LTT) is used to get analytical solution. In this process, a new time variables are introduced. Graphical illustrations of concentration profiles versus time and position are presented for different set of data.

A Fuzzy Logic Approach for Irrigation Water Quality Assessment: A Case Study of Karunya Watershed, India

The water used for irrigation purposes remains unnoticed in a quality perspective. The ground water is a major source for irrigation in many arid and semi arid regions of India. The widely accepted standard for irrigation water is the United States Salinity Laboratory (USSL) classification system, which is based on Sodium Absorption Ratio (SAR) and Electrical Conductivity (EC). In the present study, a Fuzzy Inference System (FIS) has been developed to classify ground water for irrigation purposes.

Estimation and Propagation of Parameter Uncertainty in Lumped Hydrological Models: A Case Study of HSPF Model Applied to Luxapallila Creek Watershed in Southeast USA

Explicit quantification of the uncertainty associated to the predictions of a hydrologic model is a necessary activity to objectively evaluate and report the limitations of the model caused by different sources of error. The current state of the practice of hydrologic modeling indicates that parametric uncertainty is considered as one of the most important sources of uncertainty. Some of the most relevant problems remaining in the practice include the identification of the principal parameters affecting model predictions and quantification of parameter ranges. This study evaluated stochastically one of the most popular deterministic watershed water quality models for decision making in USA.