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Relevant bibliographies by topics / Hydrology – Data processing

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Academic literature on the topic 'Hydrology – Data processing'

Author: Grafiati

Published: 4 June 2021

Last updated: 27 January 2023

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Journal articles on the topic "Hydrology – Data processing"

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Abbas, Ather, Laurie Boithias, Yakov Pachepsky, Kyunghyun Kim, Jong Ahn Chun, and Kyung Hwa Cho. "AI4Water v1.0: an open-source python package for modeling hydrological time series using data-driven methods." Geoscientific Model Development 15, no. 7 (2022): 3021–39. http://dx.doi.org/10.5194/gmd-15-3021-2022.

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Abstract. Machine learning has shown great promise for simulating hydrological phenomena. However, the development of machine-learning-based hydrological models requires advanced skills from diverse fields, such as programming and hydrological modeling. Additionally, data pre-processing and post-processing when training and testing machine learning models are a time-intensive process. In this study, we developed a python-based framework that simplifies the process of building and training machine-learning-based hydrological models and automates the process of pre-processing hydrological data a

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Faure, D., and P. Auchet. "Real time weather radar data processing for urban hydrology in Nancy." Physics and Chemistry of the Earth, Part B: Hydrology, Oceans and Atmosphere 24, no. 8 (1999): 909–14. http://dx.doi.org/10.1016/s1464-1909(99)00102-1.

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Thorndahl, Søren, Thomas Einfalt, Patrick Willems, et al. "Weather radar rainfall data in urban hydrology." Hydrology and Earth System Sciences 21, no. 3 (2017): 1359–80. http://dx.doi.org/10.5194/hess-21-1359-2017.

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Abstract. Application of weather radar data in urban hydrological applications has evolved significantly during the past decade as an alternative to traditional rainfall observations with rain gauges. Advances in radar hardware, data processing, numerical models, and emerging fields within urban hydrology necessitate an updated review of the state of the art in such radar rainfall data and applications. Three key areas with significant advances over the past decade have been identified: (1) temporal and spatial resolution of rainfall data required for different types of hydrological applicatio

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E, Băutu. "Osimin - A meteorological data platform for processing SIMIN data built on open source software." Scientific Bulletin of Naval Academy XIX, no. 1 (2018): 555–60. http://dx.doi.org/10.21279/1454-864x-18-i1-083.

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In 2003, the Romanian National Institute of Meteorology and Hydrology inaugurated National Integrated Meteorological System (SIMIN), consisting of a network of stations and instruments for measurement and detection of hydro and meteorological data, a specialized communication network, a forecasting network, and a dissemination network. With a setup cost of $55 million and a national priority role, SIMIN (implemented by Lockheed Martin) is relatively black boxed even today, using proprietary technology and software. Few institutions have direct access to the data it provides. In this paper, we

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Almagro, André, Paulo Tarso S. Oliveira, Antônio Alves Meira Neto, Tirthankar Roy, and Peter Troch. "CABra: a novel large-sample dataset for Brazilian catchments." Hydrology and Earth System Sciences 25, no. 6 (2021): 3105–35. http://dx.doi.org/10.5194/hess-25-3105-2021.

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Abstract. In this paper, we present the Catchments Attributes for Brazil (CABra), which is a large-sample dataset for Brazilian catchments that includes long-term data (30 years) for 735 catchments in eight main catchment attribute classes (climate, streamflow, groundwater, geology, soil, topography, land cover, and hydrologic disturbance). We have collected and synthesized data from multiple sources (ground stations, remote sensing, and gridded datasets). To prepare the dataset, we delineated all the catchments using the Multi-Error-Removed Improved-Terrain Digital Elevation Model (MERIT DEM)

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Cisty, Milan, and Lubomir Celar. "Using R in Water Resources Education." International Journal for Innovation Education and Research 3, no. 10 (2015): 97–116. http://dx.doi.org/10.31686/ijier.vol3.iss10.451.

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This review paper will deal with the possibilities of applying the R programming language in water resources and hydrologic applications in education and research. The objective of this paper is to present some features and packages that make R a powerful environment for analysing data from the hydrology and water resources management fields, hydrological modelling, the post processing of the results of such modelling, and other task. R is maintained by statistical programmers with the support of an increasing community of users from many different backgrounds, including hydrologists, which al

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Einfalt, T., K. Arnbjerg-Nielsen, and S. Spies. "An enquiry into rainfall data measurement and processing for model use in urban hydrology." Water Science and Technology 45, no. 2 (2002): 147–52. http://dx.doi.org/10.2166/wst.2002.0040.

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Rain data are collected all over the world because water is of paramount importance to all human life. WMO has provided standards for collection and standardized data processing of daily rainfall measurements. Currently no such standards are available for gauges with a resolution suitable for urban hydrology, where the resolution in time must not exceed a few minutes. The Group on Urban Rainfall under the International Water Association has made a comparison of national standards by means of a survey of 77 questions sent to 44 countries. The paper discusses the first results of the answers of

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Nur, Achmad Surian, and M. Azhari Noor. "HYDROLOGICAL ASPECT OF BATANG ALAI WEIR WATERSHED DUE TO LAND USE CHANGES INTO MINING AREAS." CERUCUK 4, no. 1 (2021): 61. http://dx.doi.org/10.20527/crc.v4i1.3579.

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The policy of the Ministry of Energy and Mineral Resources that provides permits for mining production activities for PT. MCM in the Batang Alai River area has an impact on the hydrology of the area. This study will discuss the changes in land use in the Batang Alai River area, Batang Alai Timur District, Hulu Sungai Tengah to the aspects of high flow and low flow hydrology. The research method used is manual calculation with rational methods for high flow hydrology and calculations using the ArcSWAT 2012.10.1.18 for low flow hydrology. The data needed in the processing are rainfall data, DEM

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Lucas, Antoine, Oded Aharonson, Charles Deledalle, Alexander G. Hayes, Randolph Kirk, and Elpitha Howington-Kraus. "Insights into Titan's geology and hydrology based on enhanced image processing of Cassini RADAR data." Journal of Geophysical Research: Planets 119, no. 10 (2014): 2149–66. http://dx.doi.org/10.1002/2013je004584.

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Chen, Yiheng, and Dawei Han. "Big data and hydroinformatics." Journal of Hydroinformatics 18, no. 4 (2016): 599–614. http://dx.doi.org/10.2166/hydro.2016.180.

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Big data is popular in the areas of computer science, commerce and bioinformatics, but is in an early stage in hydroinformatics. Big data is originated from the extremely large datasets that cannot be processed in tolerable elapsed time with the traditional data processing methods. Using the analogy from the object-oriented programming, big data should be considered as objects encompassing the data, its characteristics and the processing methods. Hydroinformatics can benefit from the big data technology with newly emerged data, techniques and analytical tools to handle large datasets, from whi

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Dissertations / Theses on the topic "Hydrology – Data processing"

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Pfaff, Thomas [Verfasser], and András [Akademischer Betreuer] Bárdossy. "Processing and analysis of weather radar data for use in hydrology / Thomas Pfaff. Betreuer: András Bárdossy." Stuttgart : Universitätsbibliothek der Universität Stuttgart, 2013. http://d-nb.info/1033714135/34.

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Yan, Hongxiang. "From Drought Monitoring to Forecasting: a Combined Dynamical-Statistical Modeling Framework." PDXScholar, 2016. http://pdxscholar.library.pdx.edu/open_access_etds/3292.

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Drought is the most costly hazard among all natural disasters. Despite the significant improvements in drought modeling over the last decade, accurate provisions of drought conditions in a timely manner is still one of the major research challenges. In order to improve the current drought monitoring and forecasting skills, this study presents a hybrid system with a combination of remotely sensed data assimilation based on particle filtering and a probabilistic drought forecasting model. Besides the proposed drought monitoring system through land data assimilation, another novel aspect of this

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Fernando, Dweepika Achela Kumarihamy. "On the application of artificial neural networks and genetic algorithms in hydro-meteorological modelling." Thesis, Hong Kong : University of Hong Kong, 1997. http://sunzi.lib.hku.hk/hkuto/record.jsp?B18618546.

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Gustafson, Nathaniel Lee. "A Confidence-Prioritization Approach to Data Processing in Noisy Data Sets and Resulting Estimation Models for Predicting Streamflow Diel Signals in the Pacific Northwest." BYU ScholarsArchive, 2012. https://scholarsarchive.byu.edu/etd/3294.

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Streams in small watersheds are often known to exhibit diel fluctuations, in which streamflow oscillates on a 24-hour cycle. Streamflow diel fluctuations, which we investigate in this study, are an informative indicator of environmental processes. However, in Environmental Data sets, as well as many others, there is a range of noise associated with individual data points. Some points are extracted under relatively clear and defined conditions, while others may include a range of known or unknown confounding factors, which may decrease those points' validity. These points may or may not remain

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Viljoen, Sarel Johannes. "Creation of a hydrological modelling environment to assist in the decision making of water-related activities." Thesis, Bloemfontein : Central University of Technology, Free State, 2007. http://hdl.handle.net/11462/96.

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Thesis (M. Tech.) -- Central University of Technology, Free State, 2007<br>In South Africa, water is a scarce resource and it has become very important to manage this resource effectively. The State developed a regulating framework, under the hospice of the Minister of Water Affairs and Forestry, which protects the country‟s water resources from over-exploitation by ensuring that it is protected, used, developed, conserved, and managed, in a sustainable and equitable manner. The laws and policies governing the use of water resources are contained in the National Water Act (South Africa, 1998),

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Tiwari, Prava. "Updating the web-based geographic information system of the Water Resources Institute." CSUSB ScholarWorks, 2008. https://scholarworks.lib.csusb.edu/etd-project/3407.

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The main scope of this project is to rebuild and deploy web applications that will help share historical artifacts related to the Santa Ana watershed. This project is designed to give a consistent user interface and add extra tools to enhance the functionality of existing applications at the Water Resources Institute (WRI) at California State University San Bernardino (CSUSB). The purpose of this project is to migrate all applications to a single server and update the applications using ArcGIS Server 9.2. Also to give a consistent look to the applications and to make them user friendly.

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Barr, Thomas W. "Development of a graphics interface for the Savannah River control program "Savres"." Thesis, Georgia Institute of Technology, 1992. http://hdl.handle.net/1853/20978.

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Kim, Kye Hyun 1956. "Classification of environmental hydrologic behaviors in Northeastern United States." Thesis, The University of Arizona, 1989. http://hdl.handle.net/10150/277083.

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Environmental response to acidic deposition occurs through the vehicle of water movement in the ecosystem. As a part of the environmental studies for acidic deposition in the ecosystem, output-based hydrologic classification was done from basin hydrologies based on the distribution of the baseflow, snowmelt, and the direct runoff sources. Because of the differences in the flow paths and exposure duration, those components were assumed to represent distinct geochemical responses. As a first step, user-friendly software has been developed to calculate the baseflow based on the separation of annu

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Bollaert, M. J. "Development of a geographic data model for hydrological modelling." Thesis, 2006. http://hdl.handle.net/10413/434.

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Whiteaker, Timothy Lee. "Geographically integrated hydrologic modeling systems." Thesis, 2004. http://hdl.handle.net/2152/2179.

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Books on the topic "Hydrology – Data processing"

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1967-, Gasmelseid Tagelsir Mohamed, ed. Handbook of research on hydroinformatics: Technologies, theories and applications. Information Science Reference, 2010.

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McCuen, Richard H. Microcomputer applications in statistical hydrology. Prentice Hall, 1993.

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Xing, Cai, and Yeh T. C, eds. Quantitative information fusion for hydrological sciences. Springer, 2008.

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Roald, Lars. FRIENDS in hydrology. International Association of Hydrological Sciences, 1989.

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P, Singh V., and Fiorentino M. 1955-, eds. Geographical information systems in hydrology. Kluwer Academic Publishers, 1996.

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Hoggan, Daniel H. Computer-assisted floodplain hydrology and hydraulics. 2nd ed. McGraw-Hill, 1997.

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Computer-assisted floodplain hydrology and hydraulics. McGraw-Hill, 1989.

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Stochastic subsurface hydrology. Prentice-Hall, 1993.

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Gasmelseid, Tagelsir Mohamed. Handbook of research on hydroinformatics: Technologies, theories and applications. Information Science Reference, 2010.

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Computational hydraulics and hydrology: An illustrated dictionary. CRC Press, 2004.

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Book chapters on the topic "Hydrology – Data processing"

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Şen, Zekâi. "Hydrology." In Earth Systems Data Processing and Visualization Using MATLAB. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-01542-8_3.

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Jensen, J. R. "Processing Remotely Sensed Data: Hardware and Software Considerations." In Remote Sensing in Hydrology and Water Management. Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/978-3-642-59583-7_3.

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Algazi, V. Ralph. "Digital Processing of Satellite Data: Information Extraction and Potential Applications to Hydrology." In Precipitation Analysis for Hydrologic Modeling. American Geophysical Union, 2013. http://dx.doi.org/10.1029/sp004p0001.

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Banhatti, Aniruddha Gopal, and Paresh Chandra Deka. "Effects of Data Pre-processing on the Prediction Accuracy of Artificial Neural Network Model in Hydrological Time Series." In Urban Hydrology, Watershed Management and Socio-Economic Aspects. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-40195-9_21.

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Schickedanz, Paul T., and Marion B. Busch. "Data Processing and Analytical Procedures for Urban Precipitation Studies." In Precipitation Analysis for Hydrologic Modeling. American Geophysical Union, 2013. http://dx.doi.org/10.1029/sp004p0101.

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"Data Processing in Hydrology." In Handbook of Engineering Hydrology (Three-Volume Set). CRC Press, 2018. http://dx.doi.org/10.1201/b16695-9.

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"Data Processing in Hydrology." In Handbook of Engineering Hydrology. CRC Press, 2014. http://dx.doi.org/10.1201/b15625-8.

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Sikder, Iftikhar U., and Santosh K. Misra. "Agent-Based Semantic Interoperability of Geo-Services." In Methodological Advancements in Intelligent Information Technologies. IGI Global, 2010. http://dx.doi.org/10.4018/978-1-60566-970-0.ch007.

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This chapter proposes a multi-agent based framework that allows multiple data sources and models to be semantically integrated for spatial modeling in business processing. The authros introduce a multiagent system (OSIRIS – Ontology-based Spatial Information and Resource Integration Services) to semantically interoperate complex spatial services and integrate them in a meaningful composition. The advantage of using multi-agent collaboration in OSIRIS is that it obviates the need for end-user analysts to be able to decompose a problem domain to subproblems or to map different models according to what they actually mean. The authors also illustrate a multi-agent interaction scenario for collaborative modeling of spatial applications using the proposed custom feature of OSIRIS using Description Logics. The system illustrates an application of domain ontology of urban environmental hydrology and evaluation of decision maker’s consequences of land use changes. In e-government context, the proposed OSIRIS framework works as semantic layer for one stop geospatial portal.

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Ramillien, Guillaume, and Lucía Seoane. "Continental Water Storage Changes Sensed by GRACE Satellite Gravimetry." In Geodetic Sciences - Theory, Applications and Recent Developments [Working Title]. IntechOpen, 2021. http://dx.doi.org/10.5772/intechopen.96109.

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Since its launch in March 2002, the Gravity Recovery And Climate Experiment (GRACE) mission has been mapping the time variations of the Earth’s gravity field with a precision of 2–3 cm in terms of geoid height at the surface resolution of 300–400 km. The unprecedented precision of this twin satellite system enables to detect tiny changes of gravity that are due to the water mass variations inside the fluid envelops of our planet. Once they are corrected from known gravitational contributions of the atmosphere and the oceans, the monthly and (bi)weekly GRACE solutions reveal the continental water storage redistributions, and mainly the dominant seasonal cycle in the largest drainage river basins such as Amazon, Congo, Mississippi. The potential differences measured between the twin GRACE satellites represent the sum of integrated surface waters (lakes and rivers), soil moisture, snow, ice and groundwater. Once they are inverted for estimating surface water mass densities, GRACE solutions are also used to establish the long-term mass balance of the ice sheets impacted by global warming, for quantifying the interannual variations of the major aquifers, as well as for surveying the hydrological signatures of intense meteorological events lasting a few days such as tropical hurricanes. This chapter describes GRACE gravity products and the different data processings used for mapping continental water storage variations, it also presents the most remarkable results concerning global continental hydrology and climate changes.

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Conference papers on the topic "Hydrology – Data processing"

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Bernatowicz, Anna, and Adam Lyszkowicz. "Present State of Lake Studies from Satellite Altimetry – a Case Study in Poland." In Environmental Engineering. VGTU Technika, 2017. http://dx.doi.org/10.3846/enviro.2017.164.

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Satellite radar altimetry is a successful technique for monitoring elevations of continental surface water. The surface water level is measured within a terrestrial reference frame with a repeatability varying from 10 to 35 days depending on the orbit cycle of the satellite. With several decades of technique refinement; current data processing can be fairly simple or complex depending on the mission and the tracking methods. Data acquisition is not affected by weather conditions; but the technique can have a number of limitations. However; the technique is sufficiently advanced to have allowed

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Yidirim, T., and H. K. Cigizoglu. "Comparison of generalized regression neural network and MLP performances on hydrologic data forecasting." In 9th International Conference on Neural Information Processing. IEEE, 2002. http://dx.doi.org/10.1109/iconip.2002.1201942.

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"Linking regional climate simulations and hydrologic models for climate-change impact studies: a data processing framework." In ASABE 1st Climate Change Symposium: Adaptation and Mitigation. American Society of Agricultural and Biological Engineers, 2015. http://dx.doi.org/10.13031/cc.20152123495.

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Reports on the topic "Hydrology – Data processing"

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Butler, Afrachanna, Catherine Thomas, Nathan Beane, Anthony Bednar, and William Frederick. Phytomanagement of soil and groundwater at the Niagara Falls Storage Site (NFSS) using hybridized trees. Engineer Research and Development Center (U.S.), 2021. http://dx.doi.org/10.21079/11681/42083.

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The Manhattan Engineer District previously used the 191-acre Niagara Falls Storage Site (NFSS) in Niagara County, New York, to store radioactive residues and wastes from uranium (U) ore processing. At present, management practices will determine whether enhanced evapotranspiration rates produced by hybridized shrub willow cuttings planted in 2016 will affect groundwater hydrology. Two shrub willow varieties were planted in an approximately one-half acre area to examine growth performance along a U impacted sanitary sewer line. Additionally, control plots will compare the effectiveness of shrub

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