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Predicting water runoff in ungauged water catchment areas is vital to practical applications such as the design of drainage infrastructure and flooding defences, runoff forecasting, and for catchment management tasks such as water allocation and climate impact analysis. This full colour book offers an impressive synthesis of decades of international research, forming a holistic approach to catchment hydrology and providing a one-stop resource for hydrologists in both developed and developing countries. Topics include data for runoff regionalisation, the prediction of runoff hydrographs, flow duration curves, flow paths and residence times, annual and seasonal runoff, and floods. Illustrated with many case studies and including a final chapter on recommendations for researchers and practitioners, this book is written by expert authors involved in the prestigious IAHS PUB initiative. It is a key resource for academic researchers and professionals in the fields of hydrology, hydrogeology, ecology, geography, soil science, and environmental and civil engineering.
Lake Tana s water balance is not well understood since a large part of the Lake Tana basin is ungauged with uncertain inflows. In recent studies by Kebede et al. (2006) and SMEC (2007) closure of Lake Tana water balance is obtained by runoff from ungauged catchments that cover a large part of the Lake Tana basin. In this thesis water balance terms are calculated on a daily base while simulated daily lake levels are compared to observed levels for the period 1995 to 2001. Daily flows from an ungauged catchment are estimated by transferring model parameters from gauged catchments using a regionalisation procedure, a spatial proximity procedure and catchment area ratio s methods. In regionalisation gauged catchment model parameters of the conceptual rainfall-runoff model HBV are transferred to ungauged catchments based on catchment characteristics to allow for runoff simulation. In the proximity procedure model parameters of gauged catchments are transferred to neighbouring ungauged catchment. In area ratio model parameter sets of gauged catchments are transferred to ungauged catchments of comparable area.
This important monograph is based on the results of a study on the identification of conceptual lumped rainfall-runoff models for gauged and ungauged catchments. The task of model identification remains difficult despite decades of research. A detailed problem analysis and an extensive review form the basis for the development of a Matlab® modelling toolkit consisting of two components: a Rainfall-Runoff Modelling Toolbox (RRMT) and a Monte Carlo Analysis Toolbox (MCAT). These are subsequently applied to study the tasks of model identification and evaluation. A novel dynamic identifiability approach has been developed for the gauged catchment case. The theory underlying the application of rainfall-runoff models for predictions in ungauged catchments is studied, problems are highlighted and promising ways to move forward are investigated. Modelling frameworks for both gauged and ungauged cases are developed. This book presents the first extensive treatment of rainfall-runoff model identification in gauged and ungauged catchments.
Runoff estimation of ungauged river basins has long been recognized as a subject of scientific investigations. Catchments in many parts of the world especially in developing and underdeveloped countries are ungauged or poorly gauged, and in some cases existing measurement networks are declining. Association of Hydrological Sciences (IAHS) launched a new programme named Predictions in Ungauged Basins (PUB) aimed at formulating and implementing appropriate science programme to engage and energize the scientific community, in a co-ordinated manner, towards achieving major advances to make predictions in ungauged basins. In India, good hydrologic network exists in some parts while in many other parts; networks suffer from lack of skilled manpower and proper measurement techniques.Thus the measurable hydrological and geomorphological parameters have potential to describe some important drainage basin properties and it also provides a simple means for hydrologic simulation, hydrograph synthesis, and quantification of flow process and to understand the rainfall-runoff relationship particularly of ungauged basin.
A synthesis of international catchment hydrology research, for researchers and professionals in hydrology, soil science, and environmental and civil engineering.
Estimates of hydrological parameters at ungauged sites have traditionally been obtained from regression equations. This study investigates alternative methods based on the classification of catchments according to their flow regime, the assignment of ungauged catchments to a class based on physical characteristics of the catchment, and the use of similarity measures to transfer parameters from gauged to ungauged catchments. This report considers the methods that can be adopted in this type of approach, and the many variations that must be considered in their implementation. The methods are examined using a set of 99 catchments from the UK, and are seen to be efficacious in estimating the unit hydrograph time to peak and standard percentage runoff, as defined by the UK Flood Studies Report. A step-by-step guide and worked example show how the method can be applied in practice.