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The Analysis of River Basins and Channel Networks Using Digital Terrain Data
(Cambridge, Mass. : Ralph M. Parsons Laboratory, Hydrology and Water Resource Systems, , Massachusetts Institute of Technology, Dept. of Civil Engineering, 1989-09)
This work examines patterns of regularity and scale in landform and channel networks. Digital elevation model data sets from throughout the United States are used as a data source. First we consider the two-dimensional ...
A Distributed, Physically-based, Rainfall-runoff Model Incorporating Topography for Real-time Flood Forecasting
(Cambridge, Mass. : Ralph M. Parsons Laboratory, Hydrology and Water Resource Systems, Massachusetts Institute of Technology, Dept. of Civil Engineering, 1990-10)
We present a distributed, physically-based model of runoff generation in a catchment, for operational use in flood forecasting. The model accounts for both the infiltration-excess and saturation-excess mechanisms of runoff ...
Simulation of Observed Topography Using a Physically-based Basin Evolution Model
(Cambridge, Mass. : Ralph M. Parsons Laboratory, Hydrology and Water Resources, Dept. of Civil Engineering, School of Engineering, Massachusetts Institute of Technology, 1994-10)
This work presents a model for basin evolution and a procedure for estimating the parameters of this model to reproduce a given topography. The model is calibrated based on three measures: the slope-area relationship, the ...
A Statistical Linearization Approach to Real Time Nonlinear Flood Routing
(Cambridge, Mass. : Massachusetts Institute of Technology, Ralph M. Parsons Laboratory for Water Resources and Hydrodynamics, 1980-06)
Empirical Temperature Forecasting: Extensions of the Model Output Statistics Method
(Cambridge, Mass. : Massachusetts Institute of Technology, Dept. of Civil Engineering, Ralph M. Parsons Laboratory for Water Resources and Hydrodynamics, 1980-06)
Deterministic models of complex natural phenomena such as streamflow or weather events are usually either unknown or unwieldy and thus are often augmented or replaced by stochastic or empirical models. For example, the ...
The Practice of Kriging
(Cambridge, Mass. : Ralph M. Parsons Laboratory, Dept. of Civil Engineering, Massachusetts Institute of Technology, 1981-01)
The theory of intrinsic random functions of order k (IRF-K) and its use in optimal linear interpolation is presented using a simple deterministic formulation. Also outlined are the procedures for identification of generalized ...
A Precipitation Model and Its Use in Real-time River Flow Forecasting
(Cambridge, Mass. : Ralph M. Parsons Laboratory , Hydrology and Water Resources Systems, Massachusetts Institute of Technology, Dept. of Civil Engineering, 1982-07)
A one-dimensional, physically based, station precipitation model is proposed and tested. The model state variable is the liquid water equivalent mass in a unit area cloud column. Model inputs are the air temperature, ...
Identification and Estimation of a Monthly Multivariate Stochastic Streamflow Model for the Nile River Basin
(Cambridge, Mass. : Ralph M. Parsons Laboratory, Hydrology and Water Resource Systems, Massachusetts Institute of Technology, Dept. of Civil Engineering, 1982-07)
This report is one of a series of publications which describe various studies undertaken under the sponsorship of the Technology Adaptation Program at the Massachusetts Institute of Technology. The United States Department ...
Nonlinear Filtering, Parameter Estimation and Decomposition of Large Rainfall-Runoff Models
(Cambridge, Mass. : Ralph M. Parsons Laboratory, Hydrology and Water Resource Systems, Massachusetts Institute of Technology, Dept. of Civil Engineering, 1984-10)
Three topics related to the real time forecasting of river flows are studied. First, the usefulness of nonlinear filtering procedures in connection with a conceptual rainfall-runoff model is investigated. By means of a ...
A Physically Based Channel Network and Catchment Evolution Model
(Cambridge, Mass. : Ralph M. Parsons Laboratory Hydrology and Water Resource Systems, Dept. of Civil Engineering, Massachusetts Institute of Technology, 1989-06)
A catchment evolution and channel network growth model is presented. Elevations within the catchment are simulated by a sediment transport continuity equation applied over geologic time. Sediment transport may by modelled ...