Model Configuration And Data Management In The Short-Term Water Information Forecasting Tools

The Short-term Water Information and Forecasting Tools (SWIFT) is a suite of tools for flood and short-term streamflow forecasting, consisting of a collection of hydrologic model components and utilities. Catchments are modeled using conceptual subareas and a node-link structure for channel routing. The tools comprise modules for calibration, model state updating, output error correction, ensemble runs and data assimilation. Given the combinatorial nature of the modelling experiments and the sub-daily time steps typically used for simulations, the volume of model configurations and time series data is substantial and its management is not trivial. SWIFT is currently used mostly for research purposes but has also been used operationally, with intersecting but significantly different requirements. Early versions of SWIFT used mostly ad-hoc text files handled via Fortran code, with limited use of netCDF for time series data. The configuration and data handling modules have since been redesigned. The model configuration now follows a design where the data model is decoupled from the on-disk persistence mechanism. For research purposes the preferred on-disk format is JSON, to leverage numerous software libraries in a variety of languages, while retaining the legacy option of custom tab-separated text formats when it is a preferred access arrangement for the researcher. By decoupling data model and data persistence, it is much easier to interchangeably use for instance relational databases to provide stricter provenance and audit trail capabilities in an operational flood forecasting context. For the time series data, given the volume and required throughput, text based formats are usually inadequate. A schema derived from CF conventions has been designed to efficiently handle time series for SWIFT.

Qualidade de dados fluviométricos obtidos através de perfilamento acústico

Acoustic Doppler current profilers are currently the main option for flow measurement and hydrodynamic monitoring of streams, replacing traditional methods. The spread of such equipment is mainly due to their operational advantages ranging from speed measurement to the greatest detail and amount of information generated about the hydrodynamics of hydrometric sections. As in the use of traditional methods and equipments, the use of acoustic Doppler profilers should be guided by the pursuit of data quality, since these are the basis for project and management of water resources constructions and systems. In this sense, the paper presents an analysis of measurement uncertainties of a hydrometric campaign held in Sapucaí River (Piranguinho-MG), using two different Doppler profilers - a Rio Grande ADCP 1200 kHz and a Qmetrix Qliner. 10 measurements were performed with each equipment consecutively, following the literature quality protocols, and later, a Type A uncertainty analysis (statistical analysis of several independent observations of the input under the same conditions). The measurements of the ADCP and Qliner presented, respectively, standard uncertainties of 0.679% and 0.508% compared with the averages. These results are satisfactory and acceptable when compared to references in the literature, indicating that the use of Doppler profilers is valid for expansion and upgrade of streamflow measurement networks and generation of hydrological data.

Simulação da produção de sedimentos na bacia hidrográfica do Rio Pardo – Botucatu, SP, por modelagem hidrológica

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Análise de risco a inundação na cidade de Alenquer - Estado do Pará

A cidade de Alenquer, localizada na região do Baixo Amazonas do Estado do Pará, sofre historicamente com a ameaça de inundação. Todos os anos, na época da enchente, o furo Surubiú aumenta seu nível, inundando as partes mais baixas da cidade. A presente dissertação analisa o risco a inundação existente na cidade de Alenquer proporcionando instrumentos para a gestão e melhorias das ações do poder público. A análise de ameaça se baseou em uma metodologia que agrega dados históricos, hidrológicos, mapa de construção participativo e trabalho de campo com GPS, identificado três áreas distintas na cidade: (i) área de alta suscetibilidade, anualmente afetada pelas inundações, abrange 8,4% da área da cidade (ii) área de moderada suscetibilidade, apenas atingida quando observado os maiores índices fluviométricos e (iii) área que mesmo na maiores enchentes não é atingida. O cálculo da vulnerabilidade ocorreu a partir da construção de um índice que inclui dados do censo de demográfico, trabalho de campo para a identificação dos elementos essenciais e unidades de respostas. Após a aplicação do índice verificou-se que dos 17 setores da cidade, cinco apresentam alta vulnerabilidade, e os demais moderada vulnerabilidade. Na análise de risco os dados de vulnerabilidade e ameaças foram integrados e novamente três zonas na cidade foram identificadas (i) a zona de alto risco corresponde a 9,45 % da cidade, onde há grande concentração de elementos essenciais e algumas unidades de respostas, o que provoca danos sociais e econômicos quando da ocorrência de inundação (ii) zona de moderado risco, 30% da cidade e (iii) zona de baixo risco que corresponde a 60,55% da cidade. O Plano Diretor do município foi analisado com alguns questionamentos para verificar a inclusão da temática de ameaça, vulnerabilidade e risco nesse documento, após a análise pode se concluir a falta de abordagem dessa temática no plano diretor. Os resultados obtidos com a pesquisa são importantes para subsidiar políticas publicas e os documentos exigidos pela Defesa Civil quando da ocorrência de desastres.

Tendências hidrológicas anuais e sazonais na bacia do Rio Paraibuna, Parque Estadual da Serra do Mar (SP)

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Trends in Mean Annual Streamflows in Serra da Mantiqueira Environmental Protection Area

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Water use of Juniperus virginiana trees encroached into mesic prairies in Oklahoma, USA

Juniperus virginiana (eastern redcedar) is encroaching into mesic prairies of the southern Great Plains, USA, and is altering the hydrologic cycle. We used the thermal dissipation technique to quantify daily water use of J. virginiana into a mesic prairie by measuring 19 trees of different sizes from different density stands located in north-central Oklahoma during 2011. We took the additional step to calibrate our measurements by comparing thermal dissipation technique estimates to volumetric water use for a subset of trees. Except for days with maximum air temperature below -3 degrees C, J. virginiana trees used water year round, reached a peak in late May, and exhibited reduced water use in summer when soil water availability was low. Overall daily average water use was 24 l (+/- 21.81 s.d.) per tree. Trees in low density stands used more water than trees with similar diameters from denser stands. However, there was no difference in water use between trees in different density stands when expressed on a canopy area basis. Approximately 50% of variation in water use that remained after accounting for the factors site, tree, and day was explained using a physiologically-based model that included daily potential evapotranspiration, maximum vapour pressure deficit, maximum temperature, solar radiation, and soil water storage between 0 and 10 cm. Our model suggested that a J. virginiana woodland with a closed canopy is capable of transpiring almost all precipitation reaching the soil in years with normal precipitation, indicating the potential for encroachment to reduce water yield for streamflow and groundwater recharge. Copyright (C) 2013 John Wiley & Sons, Ltd.

Contribuição das águas subterrâneas para a vazão do Ribeirão Boa Vista ou Córrego do Lajeado

This paper aimed to give a contribution to improve water resources management, consists of the analysis of interaction among groundwater and streamflow, by through the analysis of the relationship between basic and total streamflow, based on measured hidrological data from Ribeirão Boa Vista or Córrego Lajeado. watershed. Comparisons among groundwaterflow in this basin with another one in Rio Corumbataí basin were made based on the specific basic flow, in order to verify the possibility of the utilization of measured hydrological data in other basins with similar geological characteristics and soil use and occupation. Based upon the comparisons that were made, specific basic flow does not represent a good tool for extrapolation of measured data, indicating that this comparison shall be weighted by others characteristics as permeability and thickness of geological formations. Finally, it was possible to conclude that basic flow may be considered as an additional parameter for analysis of hydrological and hydrogeological characteristics of a basin and to provide subsidies to release legal licenses for water resources uses. related to surface water as well as for groundwater and may also be used as a tool for consolidation of integrated management of water resources, that is considered as a necessary and essential practice to avoid conflicts between users of water resources in a river basin.

Aplicação de modelos hidrológicos para avaliação de reservatórios de retenção e detenção combinados à obra de recuperação do canal de macrodrenagem no controle de cheias em uma bacia hidrográfica urbanizada

The aim of this paper was to evaluate the effect of retention and detention reservoirs along with the regulation in channel flow upgrade on flood for an urban watershed located at Rio Claro, SP. For this purpose, modeling and simulation techniques were applied for runoff determination and its propagation in channel. The Soil Conservation Service – SCS hydrologic model as well as Pulz and non-linear Muskingum-Cunge model were used. The software IPHS1 was applied on simulations. The results pointed out that the combination of retention increasing and detention reservoir implementation (120,000 m3, corresponding to 1.5% of the watershed area) with the streamflow upgrade (n decreasing from 0,04 to 0,02) can minimize the flood on the investigated Servidão watershed. Further, after the proposed intervention, the flood was eliminated for the investigated times of recurrence: 5, 20, 50 and 100 years. The prognostic indicated that the available area occupation had a minor effect on flow increasing due to the observed high urbanization.

Temporal Differences in the Hydrologic Regime of the Lower Platte River, Nebraska, 1895–2006

In cooperation with the Lower Platte South Natural Resources District for a collaborative study of the cumulative effects of water and channel management practices on stream and riparian ecology, the U.S. Geological Survey (USGS) compiled, analyzed, and summarized hydrologic information from long-term gaging stations on the lower Platte River to determine any significant temporal differences among six discrete periods during 1895-2006 and to interpret any significant changes in relation to changes in climatic conditions or other factors. A subset of 171 examined hydrologic indices (HIs) were selected for use as indices that (1) included most of the variance in the larger set of indices, (2) retained utility as indicators of the streamflow regime, and (3) provided information at spatial and temporal scale(s) that were most indicative of streamflow regime(s). The study included the most downstream station within the central Platte River segment that flowed to the confluence with the Loup River and all four active streamflow-gaging stations (2006) on the lower Platte River main stem extending from the confluence of the Loup River and Platte River to the confluence of the Platte River and Missouri River south of Omaha. The drainage areas of the five streamflow-gaging stations covered four (of eight) climate divisions in Nebraska—division 2 (north central), 3 (northeast), 5 (central), and 6 (east central).

Análise do erro de previsão de vazões mensais com diferentes horizontes de previsão

Este trabalho aborda o problema de previsão para séries de vazões médias mensais, no qual denomina-se de horizonte de previsão (h), o intervalo de tempo que separa a última observação usada no ajuste do modelo de previsão e o valor futuro a ser previsto. A análise do erro de previsão é feita em função deste horizonte de previsão. Estas séries possuem um comportamento periódico na média, na variância e na função de autocorrelação. Portanto, considera-se a abordagem amplamente usada para a modelagem destas séries que consiste inicialmente em remover a periodicidade na média e na variância das séries de vazões e em seguida calcular uma série padronizada para a qual são ajustados modelos estocásticos. Neste estudo considera-se para a série padronizada os modelos autorregressivos periódicos PAR (p m). As ordens p m dos modelos ajustados para cada mês são determinadas usando os seguintes critérios: a análise clássica da função de autocorrelação parcial periódica (FACPPe); usando-se o Bayesian Information Criterion (BIC) proposto em (MecLeod, 1994); e com a análise da FACPPe proposta em (Stedinger, 2001). Os erros de previsão são calculados, na escala original da série de vazão, em função dos parâmetros dos modelos ajustados e avaliados para horizontes de previsão h variando de 1 a 12 meses. Estes erros são comparados com as estimativas das variâncias das vazões para o mês que está sendo previsto. Como resultado tem-se uma avaliação da capacidade de previsão, em meses, dos modelos ajustados para cada mês.

Probabilistic Envelope Curves for Extreme Rainfall Events - Curve Inviluppo Probabilistiche per Precipitazioni Estreme

A regional envelope curve (REC) of flood flows summarises the current bound on our experience of extreme floods in a region. RECs are available for most regions of the world. Recent scientific papers introduced a probabilistic interpretation of these curves and formulated an empirical estimator of the recurrence interval T associated with a REC, which, in principle, enables us to use RECs for design purposes in ungauged basins. The main aim of this work is twofold. First, it extends the REC concept to extreme rainstorm events by introducing the Depth-Duration Envelope Curves (DDEC), which are defined as the regional upper bound on all the record rainfall depths at present for various rainfall duration. Second, it adapts the probabilistic interpretation proposed for RECs to DDECs and it assesses the suitability of these curves for estimating the T-year rainfall event associated with a given duration and large T values. Probabilistic DDECs are complementary to regional frequency analysis of rainstorms and their utilization in combination with a suitable rainfall-runoff model can provide useful indications on the magnitude of extreme floods for gauged and ungauged basins. The study focuses on two different national datasets, the peak over threshold (POT) series of rainfall depths with duration 30 min., 1, 3, 9 and 24 hrs. obtained for 700 Austrian raingauges and the Annual Maximum Series (AMS) of rainfall depths with duration spanning from 5 min. to 24 hrs. collected at 220 raingauges located in northern-central Italy. The estimation of the recurrence interval of DDEC requires the quantification of the equivalent number of independent data which, in turn, is a function of the cross-correlation among sequences. While the quantification and modelling of intersite dependence is a straightforward task for AMS series, it may be cumbersome for POT series. This paper proposes a possible approach to address this problem.

Analisi del sistema idraulico e di monitoraggio dei Consorzi dei canali di Reno e Savena e caratterizzazione degli eventi storici di siccita meteorologica ed idrologica del Fiume Reno a Casalecchio

La tesi è suddivisa in tre parti. Nella prima parte si descrive il sistema dei canali bolognesi che derivano acqua dal bacino montano del Fiume Reno e dal Torrente Savena, e il sistema di gestione e di monitoraggio utilizzato dal Consorzio dei canali di Reno e Savena. Nella seconda parte si illustra una proposta di sistema di visualizzazione dei dati idro-pluviometrici che si sta valutando, assieme al Presidente del Consorzio e ad Arpa, per il monitor che il Consorzio intende installare al fine di illustrare al pubblico il monitoraggio e l’evoluzione degli eventi di piena e di scarsità idrica/siccità. Nella terza parte, infine, si effettuano la stima e un’analisi della correlazione tra due diversi indici di siccità, meteorologica ed idrologica, per il bacino del Reno chiuso a Casalecchio. Il sistema dell’intero bacino del Reno e della rete dei canali cittadini risulta molto complesso. Vista tale complessità del sistema, si è proposto di distinguere uno scenario di piena e uno scenario di magra. Tra le diverse informazioni da visualizzare nel monitor si intendono anche visualizzare informazioni relative alla disponibilità idrica alla scala del bacino in esame. Per questo è stata svolta l’analisi sugli indici di siccità Standard Precipitation Index (SPI) e Streamflow Drought Index per il bacino del Reno chiuso a Casalecchio . Tali indici hanno portato a dei risultati consistenti con le condizioni idro-metereologiche e con le informazioni sugli impatti al suolo disponibili per alcuni degli eventi più significativi presi in esame. In base ai risultati ottenuti è possibile affermare che gli indici SPI e SDI a scala di bacino hanno una buona correlazione che permette di poter considerare anche la sola caratterizzazione pluviometrica per identificare la situazione della disponibilità idrica del fiume a monte dell’opera di presa del Canale di Reno.

Impacts of environmental change on water resources in the Mount Kenya Region

Water resources are becoming increasingly scarce in the Mt. Kenya region. Land use and climate change may pose additional challenges to water management in the future. In order to assess the impacts of environmental change, the NRM3 Streamflow Model, a simple, semi-distributed, grid-based water balance model, is evaluated as a tool for discharge prediction in six meso-scale catchments on the western slopes of Mt. Kenya, and used to analyse the impact of land use and climate change scenarios on water resources.

Use of hydroclimatic forecasts for improved water management in central Texas

Accurate seasonal to interannual streamflow forecasts based on climate information are critical for optimal management and operation of water resources systems. Considering most water supply systems are multipurpose, operating these systems to meet increasing demand under the growing stresses of climate variability and climate change, population and economic growth, and environmental concerns could be very challenging. This study was to investigate improvement in water resources systems management through the use of seasonal climate forecasts. Hydrological persistence (streamflow and precipitation) and large-scale recurrent oceanic-atmospheric patterns such as the El Niño/Southern Oscillation (ENSO), Pacific Decadal Oscillation (PDO), North Atlantic Oscillation (NAO), the Atlantic Multidecadal Oscillation (AMO), the Pacific North American (PNA), and customized sea surface temperature (SST) indices were investigated for their potential to improve streamflow forecast accuracy and increase forecast lead-time in a river basin in central Texas. First, an ordinal polytomous logistic regression approach is proposed as a means of incorporating multiple predictor variables into a probabilistic forecast model. Forecast performance is assessed through a cross-validation procedure, using distributions-oriented metrics, and implications for decision making are discussed. Results indicate that, of the predictors evaluated, only hydrologic persistence and Pacific Ocean sea surface temperature patterns associated with ENSO and PDO provide forecasts which are statistically better than climatology. Secondly, a class of data mining techniques, known as tree-structured models, is investigated to address the nonlinear dynamics of climate teleconnections and screen promising probabilistic streamflow forecast models for river-reservoir systems. Results show that the tree-structured models can effectively capture the nonlinear features hidden in the data. Skill scores of probabilistic forecasts generated by both classification trees and logistic regression trees indicate that seasonal inflows throughout the system can be predicted with sufficient accuracy to improve water management, especially in the winter and spring seasons in central Texas. Lastly, a simplified two-stage stochastic economic-optimization model was proposed to investigate improvement in water use efficiency and the potential value of using seasonal forecasts, under the assumption of optimal decision making under uncertainty. Model results demonstrate that incorporating the probabilistic inflow forecasts into the optimization model can provide a significant improvement in seasonal water contract benefits over climatology, with lower average deficits (increased reliability) for a given average contract amount, or improved mean contract benefits for a given level of reliability compared to climatology. The results also illustrate the trade-off between the expected contract amount and reliability, i.e., larger contracts can be signed at greater risk.