Demands on the water resources of South Africa are ever increasing owing to population growth and increased development of urban, peri-urban and rural communities. Problems in terms of water quantity and quality are likely to be experienced during baseflow recessions. It is therefore imperative that water resources managers not only understand these baseflow periods of streamflow, but are able to model them with confidence. Research for this study thus included a comprehensive literature survey of the factors which affect baseflow as well as the approaches that previous studies have utilised to analyse and model baseflow recession. The primary aims of this study were to establish a streamflow database, to construct master recession curves (MRCs) for each catchment under consideration, evaluate the assumption that South African rivers recede exponentially, to determine a representative set of catchment characteristics for use in the baseflow recession analysis, to attempt to explain the MRC trends using these catchment characteristics and to investigate the feasibility of establishing a rule based model for baseflow recession. A streamflow database for South Africa was therefore established. This consisted initially of 202 catchments which were deemed to be recording natural streamflow. MRCs were established for 134 of these catchments. Those MRCs which were established indicate that the majority of South African rivers do not conform to an exponential model of recession. In order to account for the trends defined by the MRCs, catchment area, average catchment slope, drainage density, mean annual precipitation, rainfall concentration, rainfall seasonality, two independent estimates of groundwater recharge and a geological index were calculated for each catchment. Limited success was achieved when the data set was divided into subsets in order to group catchments with similar baseflow recession responses. The geological composition of the catchments appeared to provide the best results in that those trends exhibited by the MRCs could be explained by the types and proportions of the lithologies present. Owing to the lack of readily useable results it was concluded that until further results were forthcoming the development of a rule based model for baseflow recession analysis in South Africa would be premature. The establishment of a readily accessible database containing streamflows and associated catchment characteristics lends itself to future research. / Thesis (M.Sc.)-University of Natal, Pietermaritzburg, 1997.

As a global climate phenomenon, the El Ni??o-Southern Oscillation (ENSO) involves the coupling of the ocean and the atmosphere. Most climate prediction studies have, by far, only investigated the teleconnections between global climatic anomalies and the ???surface??? predictors of ENSO. The prediction models resulting from these studies have generally suffered from inadequate, if not the lack of, skill across the so-called boreal ???spring barrier???. This is illustrated in the first part of this thesis where the applicability of the SOI phase for long-lead rainfall projections in Australia is discussed. With the increasing availability of subsurface ocean temperature data, the characteristics of the Pacific Ocean???s heat content and its role in ENSO are now better understood. The second part of this thesis investigated the predictability of ENSO using the thermocline as a predictor. While the persistence and SST-based ENSO hindcasts dropped in skill across the spring barrier, the thermocline-based hindcasts remained skillful even up to a lag of eighteen months. Continuing on the favorable results of ENSO prediction, the third part of this thesis extended the use of the thermocline in the prediction of Australia???s rainfall and streamflow. When compared to models that use ???surface??? predictors, the model that incorporated thermocline information resulted in more skillful projections of rainfall and streamflow especially at long lead-times. More importantly, significant increases in skill of autumn and winter projections demonstrate the ability of the subsurface ocean to retain some climatic memory across the predictability barrier. This resilience can be attributed to the high persistence of the ocean heat content during the first half of the year. Based on weighting, the model averaging exercise also affirmed the superiority of the ???subsurface??? model over the ???surface??? models in terms of streamflow projections. The encouraging findings of this study could have far-reaching implications not only to the science of ENSO prediction but also to the more pragmatic realm of hydrologic forecasting. What this study has demonstrated is an alternative predictor that is suitable for the long range forecasting of ENSO, rainfall and streamflow. With better hydrologic forecasting comes significant improvement in the management of reservoirs which eventually leads to an increase in the reliability and sufficiency of water supply provision.

Thesis (M.S.)--Ohio State University, 2008. / Title from first page of PDF file. Includes bibliographical references (p. 49-59).

Thesis (PhD) - University of Canberra. / "March 2006" Submitted in accordance with assessment requirements for the Doctor of Philosophy degree of the University of Canberra. Bibliography: p. 228 - 250.

Thesis (M.S.)--University of Wyoming, 2007. / Title from PDF title page (viewed on Nov. 21, 2008). Includes bibliographical references.

Thesis (M.S.)--State University of New York at Binghamton, Department of Geological Sciences and Environmental Studies, 2009. / Includes bibliographical references.

Anthropogenic climate change has triggered widespread shifts in the global hydrological cycle. In south coastal British Columbia, these changes have led to more winter precipitation falling as rain rather than snow, more rain on snow events, and generally reduced snowpacks. Since snowmelt is a primary source of summer surface runoff and groundwater, snowpack declines have caused severe seasonal streamflow droughts in recent decades. For accurate water supply forecasting under future climate change, it is crucial to know if snowpack and runoff declines are unprecedented in the last several hundred years. This research focused on developing multi-century, annually-resolved records of snow water equivalent and streamflow drought to determine if recent conditions deviate from long-term norms. The research targeted small temperate watersheds that are not usually conducive to application of dendrohydrological methodologies. Traditional dendrohydrology relies on moisture-limited tree-ring records from arid settings. This dissertation presents a new method for developing tree-ring based reconstructions from energy-limited trees. Tree-ring records from high-elevation mountain hemlock (Tsuga mertensiana (Bong.) Carrière) and amabilis fir (Amabilis (Dougl.) Forbes) stands were collected at sites in south coastal British Columbia. Ring-width measurements were used to develop multi-century dendrohydrological models of snow water equivalent and streamflow drought. A 322-year reconstruction of May 1 snow water equivalent for Vancouver Island explains 56% of the instrumental SWE data variance and suggests snowpacks in 2015 were lower than in any year since 1675. A 477-year reconstruction of summer streamflow for Tsable River explains 63% of gauged streamflow variance and indicates that since 1520 twenty-one droughts occurred that were more extreme than recent “severe” droughts. Finally, a reconstruction of regionally synchronous streamflow among four south coastal rivers explains 64% of the regionalized streamflow variance. In addition to snow-sensitive tree-ring data, the latter model incorporated a paleorecord of the Palmer Drought Severity Index as a summer temperature and aridity proxy. The reconstruction suggests that since the mid-1600s sixteen regional-scale droughts occurred that were more extreme than any within the instrumental period. All three models were particularly accurate at estimating lowest snow and runoff years, and reflected the long-term influence of cool phases of the Pacific Decadal Oscillation on regional snowmelt and summer discharge trends and patterns. The reconstructions suggest: 1) snowpack declines in 2015 were unmatched in the past ~340 years; and, 2) existing water management strategies based on hydrometric data records underestimate potential magnitudes of natural droughts. Worst-case scenario droughts compounded by land use change and climate change could result in droughts more severe than any in the past several hundred years. Energy-limited tree-ring records have strong potential as paleohydrological proxies and for expanding applications of dendrohydrology to arid settings. For some of the tree-ring chronologies examined in this study, the correlation with snow water equivalent became non-significant after the mid-1990s, possibly due to warming spring temperatures. Future studies using this type of tree-ring data must carefully evaluate the recent stability of climate-growth relationships. / Graduate / 0368 / 0388 / coulthard.bethany@gmail.com

Arid and semi-arid basins in the Western United States (US) have been significantly impacted by human alterations to the water cycle and are among the most susceptible to water stress from urbanization and climate change. The climate of the Western US is projected to change in response to rising greenhouse gas concentrations. Combined with land use/land cover (LULC) change, it can influence both surface and groundwater resources, both of which are a significant source of water in the US. Responding to this challenge requires an improved understanding of how we are vulnerable and the development of strategies for managing future risk. In this dissertation, I explored how hydrology of semi-arid regions responds to LULC and climate change and how hydrologic projections are influenced by the choice and calibration of models. The three main questions I addressed with this dissertation are: 1. Is it important to calibrate models for forecasting absolute/relative changes in streamflow from LULC and climate changes? 2. Do LSMs make reasonable estimates of groundwater recharge in the western US? 3. How might recharge change under projected climate change in the western US? Results from this study suggested that it is important to calibrate the model spatially to analyze the effect of LULC change but not as important for analyzing the relative change in streamflow due to climate change. Our results also highlighted that LSMs have the potential to capture the spatial and temporal patterns as well as seasonality of recharge at large scales. Therefore, LSMs (specifically VIC and Noah) can be used as a tool for estimating current and future recharge in data limited regions. Average annual recharge is projected to increase in about 62% of the region and decrease in about 38% of the western US in future and varies significantly based on location (-50% - +94 for near future and -90% to >100% for far future). Recharge is expected to decrease significantly (-13%) in the South region in the far future. The Northern Rockies region is expected to get more recharge in both in the near (+5.1%) and far (+9.0%) future. Overall, this study suggested that land use/land cover (LULC) change and climate change significantly impacts hydrology in semi-arid regions. Model choice and model calibrations also influence the hydrological predictions. Hydrological projections from models have associated uncertainty, but still provide valuable information for water managers with long term water management planning.

Hydrological variability involving rainfall and streamflows in southern Africa have been often studied separately or have used cumulative rainfall and streamflow indices. The main objective of this study was to investigate spatio-temporal variations of rainfall, their influences on streamflows and their relationships with climatic variations with emphasis on indices that characterise the hydrological extremes, floods and droughts. It was found that 60-70% of the time when it rains, daily rainfalls are below their long-term averages and daily amounts below 10 mm are the most frequent in southern Africa. Spatially, climatologies of rainfall sub-divided the southern African subcontinent into the dry western/southwestern part and the “humid” eastern and northern part. The daily amounts below 20 mm contribute significantly to annual rainfall amounts in the dry part while all types of daily rainfall exceeding 1 mm have comparable contributions in the humid part. The climatologies indicated the highest likelihood of experiencing intense daily events during the core of the wet seasons with the highest frequencies in central Mozambique and the southern highlands of Tanzania. Interannual variations of rainfall indicated that significant changes had occurred between the late-1940s and early-1980s, particularly in the 1970s. The changes in rainfall were more evident in the number of daily rainfall events than in rainfall amounts, led generally to increasing early summer and decreased late summer rainfall. It was also found that intra-seasonal dry day sequences were an important parameter in the definition of a rainy season’s onset and end in southern Africa apart from rainfall amounts. Interannual variations of the rainy season characteristics (onset, end, duration) followed the variations of rainfall amounts and number of events. The duration of the rainy season was affected by the onset (Tanzania), onset or end (tropical southern Africa - southwestern highlands of Tanzania, Zambia, northern Zimbabwe and central Mozambique) and end (the remaing part of southern Africa). Flow duration curves (FDCs) identified three types of rivers (ephemeral, seasonal and perennial) in southern Africa with ephemeral rivers found mainly in the dry western part of the region. Seasonal streamflow patterns followed those of rainfall while interannual streamflow variations indicated significant changes of mean flows with little evidences of high and low flow regime changes except in Namibia and some parts of northern Zimbabwe. It was, however, not possible to provide strong links between the identified changes in streamflows and those in rainfall. Regarding the influences of climate variability on hydrological variability in southern Africa, rainfall variations in southern Africa were found to be influenced strongly by ENSO and SST in the tropical Indian ocean and moderately by SST in the south Madagascar basin. The influence of ENSO was consistent for all types of daily rainfall and peaks for the light and moderate (< 20 mm) events in the southern part and for the intense events in the northern part. SST in the tropical Indian ocean influence the light and moderate events while SST close to the region influence the heavy events. However, the relationships experienced significant changes in the mid-1950s and in the 1970s. The former changes led to improved associations while the latter deteriorated or reversed the relationships. The influences of climatic variables on streamflows and rainy season characteristics were inferred from the rainfall-streamflow and rainfall-climatic variables relationships.

FundaÃÃo Cearense de Apoio ao Desenvolvimento Cientifico e TecnolÃgico / A hegemonia da hidroeletricidade na matriz de energia elÃtrica brasileira impÃe cautelosa anÃlise sobre o regime fluvial, tendo em vista o significativo impacto que possÃveis variaÃÃes das vazÃes possam produzir na oferta de energia e consequentemente em toda a economia nacional. Com base nisto, modelos estatÃsticos de previsÃo de afluÃncias tÃm sido uma ferramenta importante no suporte à tomada de decisÃes, no planejamento e na gestÃo de recursos hÃdricos aplicados ao Sistema Interligado Nacional (SIN). Neste sentido, a presente tese propÃe metodologias de previsÃo simultÃneas e elaboraÃÃo de cenÃrios de vazÃes mensais afluentes aos Postos Base (PBâs) do SIN atravÃs de modelos estatÃsticos; visando ao melhor aproveitamento dos dados disponÃveis a partir da inserÃÃo de mÃtodos que mantenham a estrutura espacial da rede hidrogrÃfica nacional. Esta visa tambÃm a analisar o impacto da incorporaÃÃo de informaÃÃes climÃticas na previsÃo de vazÃes mensais. Os modelos propostos de previsÃo de afluÃncia utilizam os dados de vazÃes naturais gerados pelo Operador Nacional do Sistema (ONS) e tÃcnicas estatÃsticas com as de RegressÃo Linear MÃltipla, AnÃlise de Componentes Principais, mÃtodo Stepwise para escolha de variÃveis explanatÃrias; alÃm de modelos do tipo PeriÃdico Autorregressivo (PAR) e periÃdico Autorregressivo com variÃveis exÃgenas (PARX). Os modelos do tipo PAR apresentam os melhores desempenhos, de acordo com o Ãndice de DistÃncia MulticritÃrio, na maioria dos meses e dos PBâs do SIN quando comparados aos modelos PARX. Entre os mÃtodos de correlaÃÃo espacial para os modelos PAR, destacam-se a correlaÃÃo entre os ruÃdos da regressÃo (CRD) e a anÃlise de componentes principais (ACP). NÃo hà um predomÃnio entre esses mÃtodos para todos os meses e PBâs do SIN. Os melhores modelos do tipo PARX sÃo os que fazem uso de Ãndices climÃticos como variÃveis exÃgenas, dentre os quais se destacam os Ãndices AMO (OscilaÃÃo AtlÃntica Multidecadal) e TNI (TransâNINO). Estes apresentam melhor desempenho no perÃodo seco das bacias do norte do Brasil â Amazonas e Araguaia-Tocantins; centro-leste brasileiro â AtlÃntico Leste e na maioria dos rios que formam a Bacia do ParanÃ.