hydrological data Articles
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Data quality assessment in hydrological information systems
The hydrological data fed to hydrological decision support systems might be untimely, incomplete, inconsistent or illogical due to network congestion, low performance of servers, instrument failures, human errors, etc. It is imperative to assess, monitor and even control the quality of hydrological data residing in or acquired from each link of a hydrological data supply chain. However, the ...
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The Ganges water treaty: 20 years of cooperation, on India's terms
International cooperation has become a universal mandate for governing transboundary waterbodies. Diverse stakeholders promote cooperation as a desirable, if not indispensable, approach from which to achieve sustainable and equitable benefits and for the creation of transboundary waterbodies. However, calls for international water cooperation operate from the presupposition that cooperation ...
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Forecasting performance of support vector machine for the Poyang Lake's water level
The growth of forecasting models has resulted in the development of an excellent model known as the support vector machine (SVM). SVMs can find a global optimal solution equipped with kernel functions. This research trains and tests the SVM network and constructs the support vector regression prediction model by using hydrologic data. Six hydrologic time series were calculated by different ...
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A scalable open-source web-analytic framework to improve satellite-based operational water management in developing countries
Two software development hurdles to advancing real-world operationalization of satellite datasets for water management are addressed in this study. First, a simple, easy-to-build and open-source web portal connecting to a back-end complex model is developed for resource-constrained developing nations. Second, to enhance the skill of satellite-based predictions, an innovative and dynamic web ...
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Integration of an evolutionary algorithm into the ensemble Kalman filter and the particle filter for hydrologic data assimilation
Data assimilation (DA) methods continue to evolve in the design of streamflow forecasting procedures. Critical components for efficient DA include accurate description of states, improved model parameterizations, and estimation of the measurement error. Information about these components are usually assumed or rarely incorporated into streamflow forecasting procedures. Knowledge of these ...
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The Alberta Swan Hills Special Waste Treatment Centre expansion: environmental concerns
This article examines the establishment and recent expansion of the high technology special Waste Management Treatment Centre at Swan Hills, Alberta. The focus is on a number of deficiencies in the expansion application and potential negative environmental impacts that may have been inadequately assessed by the review process then existing. These concerns include weaknesses in site geology, ...
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Temporal variation and persistence of bacteria in streams
Better understanding of bacterial fate and transport in watersheds is necessary for improved regulatory management of impaired streams. Novel statistical time series analyses of coliform data can be a useful tool for evaluating the dynamics of temporal variation and persistence of bacteria within a watershed. For this study, daily total coliform data for the Little River in East Tennessee from 1 ...
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A comparison between artificial neural network method and nonlinear regression method to estimate the missing hydrometric data
Missing values are a common problem faced in the analysis of hydrometric data. The need for complete hydrological data, especially hydrometric data for planning, development and designing hydraulic structures, has become increasingly important. Reasonably estimating these missing values is significant for the complete analysis and modeling of the hydrological cycle. The major objective of this ...
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Variability of annual peak flows in the Beijiang River Basin, South China, and possible underlying causes
Peak flows are the most important flood parameter which relatively reflects the highest level and potential destructive power of a flood. Understanding peak flow changes can effectively capture a flood characteristic and is essential for developing flood control strategies. This study aims to reveal how regional peak flows evolved in recent decades, mainly from a non-linear perspective. The ...
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Assessing the impact of land use change on stream flow in a semi–urban river basin, Maharashtra, India
Historical hydrological data and satellite images acquired over a relatively large river basin were analysed to investigate the impact of the land use/land cover changes on stream flow during 1985 to 2004. Rainfall (from 16 rain gauge stations), stream flow (near basin outlet), and multi–temporal Earth observation (EO) satellite images were used to assess the impact of land use change on stream ...
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WaterWorld: a self-parameterising, physically based model for application in data-poor but problem-rich environments globally
This paper describes a spatially explicit, physically based global model for water balance. Its key innovations include the fact that it comes with all data required for application, is very high spatial resolution (1 km or 1-hectare resolution) and yet global in extent and is particularly well suited to heterogeneous environments with little or no available data. The model, WaterWorld, is ...
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Flood prevention dams for arid regions at a micro-scale sub-catchment, case study: Tabuk, Saudi Arabia
Unexpected flash flooding is one of the periodic hydrological problems affecting the city of Tabuk in Saudi Arabia. The region has high potential for floods as it suffers high rainfall intensity in a short time and also has high urbanization rates and topographic complexity. Constructing flood prevention dams is one option to solve this problem. A cost-effective design requires a detailed ...
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Modeling river stage–discharge–sediment rating relation using support vector regression
A variety of data-driven approaches have been developed in the recent past to capture the properties of hydrological data for improved modeling. These include artificial neural networks (ANNs), fuzzy logic and evolutionary algorithms, amongst others. Of late, kernel-based machine learning approaches have become popular due to their inherent advantages over traditional modeling techniques. In ...
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Facing the challenge of extreme climate: the case of Metropolitan São Paulo
Climate variability has always posed important challenges to water resources planners and engineers. Recent hydrologic data from different parts of the world show that the use of traditional stationary series statistical methods to assess risk and uncertainty may not produce reliable estimates. In particular, the 2014–2015 drought in Metropolitan São Paulo that was followed by major flooding ...
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Hydrologic signature analysis of select organic hydric soil indicators in northeastern Florida
The magnitude, duration, and return intervals of surface water flooding and dewatering of the landward extent of the hydric soil indicators muck (LM), histic epipedon (LHE), and Histosol (LH) were quantitatively defined, providing a better understanding of the hydrologic conditions maintaining these hydric soil indicators. Land surface elevations were determined for the LM, LHE, and LH at 16 ...
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Dynamical downscaling of precipitation in Iceland 1961–2006
Atmospheric flow over Iceland has been simulated for the period January 1961 to July 2006, using the mesoscale MM5 model driven by initial and boundary data from the European Centre for Medium Range Weather Forecasts (ECMWF). Firstly, the simulated precipitation is compared to estimates derived from mass balance measurements on the Icelandic ice caps. It is found that the simulated precipitation ...
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Analysis of Hydrologic Data to Evaluate Phytoremediation System Performance
Abstract A long-term environmental monitoring program is providing hydrologic data that demonstrates poplar trees are influencing groundwater flow at the J-Field site, Aberdeen Proving Ground, Maryland. Advanced data collection and analyses techniques have enabled researchers to construct a water budget for the study area and to estimate the amount of groundwater the trees are transpiring on a ...
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Copula-based stochastic simulation of hydrological data applied to Nile River flows
Modelling a multivariate distribution is a classical issue in statistics. Copula functions offer a useful solution to this issue by modelling the multivariate distribution as a function of its marginal distributions. They have been used in various problems in hydrology and water management such as flood frequency analysis and drought or rainfall intensity-duration frequency analysis. However, to ...
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The eReefs data brokering layer for hydrological and environmental data
The environmental sciences are witnessing a data revolution as large amounts of data are being made available at an increasing rate. Many datasets are being published through operational monitoring programs, research activities and global earth observation virtual laboratories. An important aspect is the ability to query relevant metadata which can potentially provide useful information to ...
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Hysteresis effects of suspended sediment transport in relation to geomorphic conditions and dominant sediment sources in medium and large rivers of the Russian Arctic
Preliminary analysis of long-term hydrological data shows that sediment dynamics of Russian Arctic rivers is largely affected by hysteresis effects in relation of water discharge to suspended sediment concentration (SSC). The role of large-scale geomorphic and geocryological conditions in sediment transport is still relatively understudied. This research aims to assess the links between ...
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