A physically-based, distributed-parameter hydrologic model was used to simulate a recent flood event in the city of Hafr Al Batin, Saudi Arabia to gain a better understanding of the runoff generation and spatial distribution of flooding. The city is located in a very arid catchment. Flooding of the city is influenced by the presence of three major tributaries that join the main channel in and a...

Full coupling of physical processes, natural numerical coupling, and parsimonious but accurate data coupling are three key steps in efficient and accurate simulation of distributed hydrologic states in watersheds. Here we present a physically-based, spatially distributed hydrologic model (called PIHM) that utilizes all the three coupling strategies. Interception, snow melt, transpiration, evapo...

Water changes information in the hydrological system, in time and space, as an environmental issue takes heed of managers and decision makers in watershed management and river engineering, which can be addressed by using spatially distributed modeling. In this study simulation of water balance components in Taleghan mountainous watershed is performed using the spatially distributed hydrological...

Physics-based distributed hydrologic models (DHMs) simulate multiple hydrologic states at numerous locations within a watershed, and at fine time intervals [1-7]. As the spatio-temporal resolution of model simulation becomes finer and number of predicted hydrologic states becomes larger, model simulations become more and more computationally intensive, rendering solution of large problems intra...

[1] Hydrologic models use relatively simple mathematical equations to conceptualize and aggregate the complex, spatially distributed, and highly interrelated water, energy, and vegetation processes in a watershed. A consequence of process aggregation is that the model parameters often do not represent directly measurable entities and must therefore be estimated using measurements of the system ...

The accurate simulation of SWAT can assist the government in making correct decisions about water management practices, which are important for human health, agricultural management, industry development, environmental quality, flood risk assessment, and recreation. In this project, the PIs were trying to improve the simulation accuracy of the SWAT model through developing new algorithm to obta...

Keywords: Distributed hydrologic model Rainfall runoff Hillslope routing Channel routing Streamflow simulation Lumped model s u m m a r y The Office of Hydrologic Development (OHD) of the National Oceanic and Atmospheric Administration's (NOAA) National Weather Service (NWS) conducted the second phase of the Distributed Model Intercom-parison Project (DMIP 2). After DMIP 1, the NWS recognized t...