In many parts of the world, developed as well as developing, rivers are not gauged for continuous monitoring. Streamflow prediction at such "ungauged" river catchments requires information transfer from gauged catchments that are perceived to be hydrologically similar to them. Achieving good predictability at ungauged catchments requires an in-depth understanding of the physical and climatic controls on hydrologic similarity among catchments. This dissertation attempts to gain a better understanding of these controls through three independent research studies that use data from catchments across the continental United States. In the first study, I explore whether streamflow similarity among nearby catchments is preserved across flow conditions. Catchments located across four river basins in the northeast United States are analyzed to quantify the spatio-temporal variability in streamflows across flow percentiles. Results show that similarity in catchment stream response is dynamic and highly dependent on flow conditions. Specifically, the coefficient of variation is high at low flow percentiles and gradually reduces for higher flow percentiles. This study concludes that high variability at low flows is controlled by the dominance of high evaporative demand, whereas low variability at high flows is controlled by the dominance of precipitation input relative to evapotranspiration. In the second study, I examine whether streamflow similarity among catchments exists across a wide range of climatic and geographic regions. Data from 756 catchments across the United States is used and daily streamflow at each catchment is simulated using distance-based streamflow interpolation from neighboring catchments. With this approach, high predictability at a catchment indicates that catchments in its vicinity have similar streamflows. Results show that high predictability catchments are mainly confined to the Appalachian Mountains, the Rocky Mountains, and Cascade Mountains in the Pacific Northwest. Low predictability catchments are located mostly in the drier regions of US to the west of Mississippi river. Results suggest that streamflow similarity among nearby catchments is more likely in humid runoff-dominated regions than in dry evapotranspiration-dominated regions. In the third study, my goal is to identify what constitutes the essential information that must be transferred from gauged to ungauged catchments in order to achieve good model predictability. A simple daily time-step rainfall-runoff model is developed and implemented over 756 catchments located across the United States. Results show that the rainfall-runoff model simulates well at catchments in humid low-energy environments, most of which are located in the eastern part of the US, the Rocky Mountains, and to the west of Cascade Mountains. Within these regions, transfer of the parameter characterizing hydrograph recession provides reliable streamflow predictions at ungauged catchments, with a loss in prediction efficiency of less than 10% in most catchments. The results presented in this dissertation show that climate exerts a strong control on hydrologic similarity among catchments. The results further suggest that an understanding of the interaction between climate and topography is essential for quantifying the spatial variability in catchment hydrologic behavior at a regional scale.

Thesis (Ph. D.)--Oregon State University, 2009. / Printout. Includes bibliographical references. Also available on the World Wide Web.

Thesis (M.S.)--Rutgers University, 2009. / "Graduate Program in Geological Sciences." Includes bibliographical references (p. 45-51).

Thesis (M.S.)--Rutgers University, 2009. / "Graduate Program in Ecology, Evolution and Natural Resources." Includes bibliographical references (p. 41-47).

Thesis (M.S.)--West Virginia University, 2003. / Title from document title page. Document formatted into pages; contains vi, 21, [24] p. : ill. (some col.), maps (some col.). Includes abstract. Includes bibliographical references (p. 20-21).

Thesis (M.S.)--University of Wisconsin--Stevens Point, 2002. / Includes bibliographical references (leaves 62-65).

Extended detention basins are not used for stormwater quality management in many areas of the US because they generally do not achieve the 80% removal of total suspended solids required by many regulatory agencies. The objective of this research was modification of the outlet controls of an existing basin to provide batch treatment of the urban stormwater runoff through efficient control of the hydraulic residence time. A solar powered automated valve and controller were developed and placed on the outlet of an extended detention basin in Austin, Texas to increase the detention time beyond the times achievable using an orifice. This system retained the diverted runoff in the basin for a variable preset period of time. The quality of the influent and effluent of the basin was monitored for concentrations of suspended solids, nutrients, chemical oxygen demand. and total and dissolved metals. The suspended solids concentrations in the basin were controlled by adjusting the residence time of the runoff in the basin to meet the required pollutant reduction. The automated valve can also be used to regulate flow into the receiving waters to control peak flow.

The Heidrun field is located in the Halten Terrace of the Mid-Norwegian Continental Shelf and is one of the first giant oil fields found on the Norwegian Sea. Modern 3D seismic reflection data acquired over the field, as well as well data were used to define the key structural and stratigraphic elements within the study area. The basic geologic history of the Heidrun field is typical of most North Sea plays, and includes Triassic rift sequences that are masked by the reactivation of bounding faults that were active during the Jurassic rift phase. This rifting phase was followed by deposition of marine black shales and subsequent carbonaceous shales during the Latest Jurassic to Earliest Cretaceous. The next sequence was characterized by the deposition of Paleocene-Eocene boundary tuffs, which were formed due to volcanism associated with a rifting event that separated Norway and Greenland. Finally, an Eocene to present passive margin marine sequence is dominant over the study area that is mainly composed by glacial deposits. Traditional reservoir intervals within the Heidrun field are located within the Jurassic age inter-rift sequence. However, most recently Cretaceous-age turbidites have been explored in the Norwegian and North Sea as possible targets with some success. These Cretaceous turbidites are traditionally found as basin floor fan deposits within rifted deeps along the Norwegian continental shelf and are believed to be sourced from localized erosion of Jurassic- age rifted highs. Data within our study area revealed the existence of a deep-water Cretaceous age wedge located within the downthrown hanging wall of several smaller half-grabens formed on the Halten Terrace. Seismic attribute extractions taken within this Cretaceous wedge show the presence of several elongate to lobate bodies that seem to cascade over fault-bounded terraces associated with the rifted structures. These high amplitude elongated bodies are interpreted as proximal sedimentary conduits that are time equivalent to the Cretaceous basin floor fans located in more distal portions of the basin to the west. Several wells penetrate the updip, tilted half-graben hanging walls which are believed to be sourcing these turbidite systems. These half graben fills have the potential to contain high quality Cretaceous sandstones that might represent a potential new reservoir interval within the Heidrun field. / text

In most regions of the world, and particularly in developing countries, the possibility and reliability of hydrologic predictions is severely limited, because conventional measurement networks (e.g. rain and stream gauges) are either nonexistent or sparsely located. This study, therefore, investigates various systems methods and newly available data acquisition techniques to evaluate their potential for improving hydrologic predictions in poorly gaged and ungaged watersheds.Part One of this study explores the utility of satellite-remote-sensing-based rainfall estimates for watershed-scale hydrologic modeling at watersheds in the Southeastern U.S. The results indicate that satellite-based rainfall estimates may contain significant bias which varies with watershed size and location. This bias, of course, then propagates into the hydrologic model simulations. However, model performance in large basins can be significantly improved if short-term streamflow observations are available for model calibration.Part Two of this study deals with the fact that hydrologic predictions in poorly gauged/ungauged watersheds rely strongly on a priori estimates of the model parameters derived from observable watershed characteristics. Two different investigations of the reliability of a priori parameter estimates for the distributed HL-DHMS model were conducted. First, a multi-criteria penalty function framework was formulated to assess the degree of agreement between the information content (about model parameters) contained in the precipitation-streamflow observational data set and that given by the a priori parameter estimates. The calibration includes a novel approach to handling spatially distributed parameters and streamflow measurement errors. The results indicated the existence of a significant trade-off between the ability to maintain reasonable model performance while maintaining the parameters close to their a priori values. The analysis indicates those parameters responsible for this discrepancy so that corrective measures can be devised. Second, a diagnostic approach to model performance assessment was developed based on a hierarchical conceptualization of the major functions of any watershed system. "Signature measures" are proposed that effectively extract the information about various watershed functions contained in the streamflow observations. Manual and automated approaches to the diagnostic model evaluation were explored and were found to be valuable in constraining the range of parameter sets while maintaining conceptual consistency of the model.

Large, infrequent "episodic" sediment transfers are commonly considered differently from "normal-regime" sediment-transfer activity. For example, in the important hillslope-gully-stream sediment cascade pathway in coastal British Columbia, debris slides and debris torrents are considered as "episodic events". On the other hand, lower-magnitude hillslope to gully-channel sediment transfers and fluvial sediment tranSport within gully and stream channels are usually considered as "normal-regime" activity, represented by annual yields. However, the results of this study illustrate the highly episodic nature of normal-regime fine-sediment transfers, which are closely linked to hydrometeorological and sediment-supply conditions. The results indicate that qualitative modelling of fine-sediment transfer activity, at the synoptic or event scale, should be possible based upon hydrometeorological and sediment-supply information. From such a model ~ the elements of which are presented in the concluding chapter ~ fine-sediment transfer activity could be forecast based upon regional weather forecasts. The study was conducted in Russell Creek Basin, on northern Vancouver Island, British Columbia. Fine-sediment transfer activity was monitored at a nested hierarchy of sites representing fine-sediment transfers from unstable hillslopes to a gully channel, suspended sediment transport out of the unstable gully and a nearby stable gully, and suspended sediment transport in Russell Creek near the mouth. Russell Creek Basin is located within Tsitika Watershed, which is the site of a British Columbia Ministry of Forests study dedicated to determining relative fine-sediment contributions from natural and logging-related sediment sources. The results of the Russell Creek study indicate that an event-based sediment sampling program is desirable and that at least some automated sampling is required. Furthermore, development of a qualitative sediment-transfer activity forecast model would be useful in interpretation of sample data and would allow efforts to be concentrated during the periods of greatest sediment-transfer activity.