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Journal articles on the topic 'Hydrology Victoria Data processing'

Author: Grafiati

Published: 10 December 2022

Last updated: 31 July 2025

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1

Hagai, M. "An Investigation of Kagera River Basin Land Cover Dynamics for Sustainability of Lake Victoria Water Regime." Journal of Sustainable Development 12, no. 4 (2019): 166. http://dx.doi.org/10.5539/jsd.v12n4p166.

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This paper is reporting on an investigation done to assess land cover dynamics in KRB(Kagera River Basin) (KRB) over a period of 21 years i.e.1990-2011 using Remote Sensing, Hydrology and GIS techniques as a basis for initiating policy interventions for sustainability of Lake Victoria water regime.The extent of land cover changes in the KRB have not been quantified with the view of assessing the extent of exploitation of the natural resources.The assessment is important firstly for identification of causative factors and secondly as a mechanism for formulating necessary policies and remedial m

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2

Tran, H. D., N. Muttil, and B. J. C. Perera. "Enhancing accuracy of autoregressive time series forecasting with input selection and wavelet transformation." Journal of Hydroinformatics 18, no. 5 (2016): 791–802. http://dx.doi.org/10.2166/hydro.2016.145.

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Autoregressive time series forecasting is common in different areas within water resources, which include hydrology, ecology, and the environment. Simple forecasting models such as linear regression have the advantage of fast runtime, which is attractive for real-time forecasting. However, their forecasting performance might not be acceptable when a non-linear relationship exists between model inputs and output, which necessitates the use of more sophisticated forecasting models such as artificial neural networks. This study investigates the performance and potential of a hybrid pre-processing

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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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Simonov, Yu A. "Activities of the World Meteorological Organization in the field of operational hydrology." Hydrometeorological research and forecasting 2 (June 23, 2025): 121–40. https://doi.org/10.37162/2618-9631-2025-2-121-140.

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An overview of the activities of the World Meteorological Organization (WMO) aimed at supporting National Hydrometeorological Services (NMHSs) in the field of operational hydrology is provided: from observations, data processing, preparation and formation of information products to hydrological forecasts, calculations, as well as the assessment and management of water resources. The current WMO agenda in the field of hydrology, the goals and objectives of working groups of experts, some projects and initiatives, including the Early Warning for All Initiative, the digital transformation program

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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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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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Pollino, Carmel A., Pat Feehan, Michael R. Grace, and Barry T. Hart. "Fish communities and habitat changes in the highly modified Goulburn Catchment, Victoria, Australia." Marine and Freshwater Research 55, no. 8 (2004): 769. http://dx.doi.org/10.1071/mf03180.

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Evidence for the decline in native fish communities in the lowland Goulburn Catchment has been based primarily on studies investigating changes to environmental conditions as a result of river regulation. The present study aggregates historical fisheries data to spatially compare native fish communities in different parts of the catchment. Multivariate analyses demonstrate that distinctly different community compositions are found in different parts of the catchment. Eildon Dam, a deep release reservoir, has drastically altered the hydrology and water quality of the upper Goulburn River, and o

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Riley, Merilyn. "Population Prevalence Rates of Birth Defects: A Data Management and Epidemiological Perspective." Health Information Management 34, no. 3 (2005): 94–99. http://dx.doi.org/10.1177/183335830503400307.

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The Victorian Birth Defects Register (VBDR) is a population-based surveillance system with a primary function of monitoring trends in birth defects. This paper outlines the processes undertaken in Victoria, Australia, to obtain population prevalence rates of birth defects and investigates the effect on the prevalence rates of variations in collection and processing tasks. It includes all birth defects that were notified to the VBDR by 31 December 2004. The overall prevalence rate of birth defects in Victoria for 2003 was 4.0%, with an overall accuracy rate of 88%. However, this proportion vari

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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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Utama, Widya, M. Hafiizh Immaduddin, and Rista Fitri Indriani. "Physiographic Study for Hydrology of Embung Hendrosari Region, Gresik Regency." IOP Conference Series: Earth and Environmental Science 1095, no. 1 (2022): 012004. http://dx.doi.org/10.1088/1755-1315/1095/1/012004.

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Abstract This study aims to determine physiographic characteristics based on the slope and land use which affect water control in Embung Hendrosari area, Gresik. The data used in this study are DEM data, Landsat 8 image data, and river data. The slope data processing is carried out through slope classification analysis. The Landsat 8 data processing is used for land use classification analysis. The slope classification maps and land use classification maps are used to classify flow coefficients. There are five land classifications obtained in land cover classification map including agriculture

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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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B.Ramasubba Reddy. "Enhancing Cloudburst Prediction System Using Bi-LSTM in Realtime: Machine Learning." Communications on Applied Nonlinear Analysis 32, no. 1s (2024): 221–31. http://dx.doi.org/10.52783/cana.v32.2161.

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Nowadays Technology is enhanced, but still facing floods and toofan due to uncertain rainfall conditions and artificial rains, it is a challenging task for hydrology and meteorology. Now a new cloudburst prediction system is a requirement for hydrology and meteorology. cloudburst prediction holds significant importance in fields like hydrology and meteorology, aiding farmers, water resource managers, and emergency responders in preparing for and managing the impacts of extreme weather events like droughts and floods. One effective technique for rainfall prediction involves employing machine le

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Indriani, Rista Fitri, and Widya Utama. "Physiographic Study for Hydrology of Benowo Region Surabaya." IOP Conference Series: Earth and Environmental Science 1127, no. 1 (2023): 012019. http://dx.doi.org/10.1088/1755-1315/1127/1/012019.

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Abstract This study seeks to identify the physiographic characteristics based on slope and land use that influence water management in the Benowo area of Surabaya. This research utilized DEM data and Landsat 8 data. Slope analysis and land use analysis were employed in the data processing procedure. The slope classification map yielded five categories: flat, sloping, slightly steep, steep, and very steep. The land classification map featured five categories: agriculture, settlements, industrial, plantations, and waters. Based on the slope and land use, a flow coefficient analysis was performed

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Robinson, Jo, Katrina Witt, Michelle Lamblin, et al. "Development of a Self-Harm Monitoring System for Victoria." International Journal of Environmental Research and Public Health 17, no. 24 (2020): 9385. http://dx.doi.org/10.3390/ijerph17249385.

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The prevention of suicide and suicide-related behaviour are key policy priorities in Australia and internationally. The World Health Organization has recommended that member states develop self-harm surveillance systems as part of their suicide prevention efforts. This is also a priority under Australia’s Fifth National Mental Health and Suicide Prevention Plan. The aim of this paper is to describe the development of a state-based self-harm monitoring system in Victoria, Australia. In this system, data on all self-harm presentations are collected from eight hospital emergency departments in Vi

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Johansson, E., S. Berglund, T. Lindborg, et al. "Hydrological and meteorological investigations in a periglacial lake catchment near Kangerlussuaq, west Greenland – presentation of a new multi-parameter data set." Earth System Science Data 7, no. 1 (2015): 93–108. http://dx.doi.org/10.5194/essd-7-93-2015.

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Abstract. Few hydrological studies have been conducted in Greenland, other than on glacial hydrology associated with the ice sheet. Understanding permafrost hydrology and hydroclimatic change and variability, however, provides key information for understanding climate change effects and feedbacks in the Arctic landscape. This paper presents a new, extensive, and detailed hydrological and meteorological open access data set, with high temporal resolution from a 1.56 km2 permafrost catchment, with a lake underlain by a through-talik close to the ice sheet in the Kangerlussuaq region, western Gre

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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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Sopubekov, N., N. Sydykova, and D. Koshubakova. "Application of the Arduino Platform in Soil moisture Measurement." Bulletin of Science and Practice 11, no. 4 (2025): 248–52. https://doi.org/10.33619/2414-2948/113/33.

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Measuring soil moisture is an important process in agronomy, ecology and hydrology. Traditional moisture measurement methods can be expensive and time-consuming, which makes the use of affordable and easy-to-use technologies such as microcontrollers an attractive solution. This article discusses a method for measuring soil moisture using the Arduino platform, describing the principle of operation of sensors, wiring diagrams and data processing software.

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Utama, Widya, and Rista Fitri Indriani. "Regional Physiographic Study for the Hydrology of Kali Lamong Watershed Area." IOP Conference Series: Earth and Environmental Science 936, no. 1 (2021): 012032. http://dx.doi.org/10.1088/1755-1315/936/1/012032.

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Abstract This study aims to determine the effect of physiography based on slope and land cover for water control in Kali Lamong watershed. The data used in this research are DEM data and Landsat 8 imagery data. The process of processing slope data is through conversion coordinates system, DEM clip, create slope, reclassify, dissolve shapefile, and slope classification analysis. Landsat 8 data processing goes through a process through conversion coordinates system, composite band, crop composite, extent shapefile, sharpen band, unsupervised classification, and land cover classification analysis

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Unnikrishnan, Poornima, and V. Jothiprakash. "Data-driven multi-time-step ahead daily rainfall forecasting using singular spectrum analysis-based data pre-processing." Journal of Hydroinformatics 20, no. 3 (2017): 645–67. http://dx.doi.org/10.2166/hydro.2017.029.

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Abstract Accurate forecasting of rainfall, especially daily time-step rainfall, remains a challenging task for hydrologists' invariance with the existence of several deterministic, stochastic and data-driven models. Several researchers have fine-tuned the hydrological models by using pre-processed input data but improvement rate in prediction of daily time-step rainfall data is not up to the expected level. There are still chances to improve the accuracy of rainfall predictions with an efficient data pre-processing algorithm. Singular spectrum analysis (SSA) is one such technique found to be a

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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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van Oorschot, R., D. de Waal, and L. Semple. "Options for beneficial reuse of biosolids in Victoria." Water Science and Technology 41, no. 8 (2000): 115–22. http://dx.doi.org/10.2166/wst.2000.0150.

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This paper presents a synopsis of current biosolids management in Victoria as well as an overview of some biosolids processing technologies. Indicative capital and annual costs to upgrade wastewater sludge management facilities at Victorian wastewater treatment plants to maximise safe beneficial reuse of biosolids and sludge products are provided. The data will be particularly useful for preliminary assessment and planning purposes of biosolids management strategies for government, non-metropolitan urban water authorities and regional waste management groups. Indicative cost curves are present

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Iwanaga, Takuya, Fateme Zare, Barry Croke, et al. "Development of an integrated model for the Campaspe catchment: a tool to help improve understanding of the interaction between society, policy, farming decision, ecology, hydrology and climate." Proceedings of the International Association of Hydrological Sciences 379 (June 5, 2018): 1–12. http://dx.doi.org/10.5194/piahs-379-1-2018.

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Abstract. Management of water resources requires understanding of the hydrology and hydrogeology, as well as the policy and human drivers and their impacts. This understanding requires relevant inputs from a wide range of disciplines, which will vary depending on the specific case study. One approach to gain understanding of the impact of climate and society on water resources is through the use of an integrated modelling process that engages stakeholders and experts in specifics of problem framing, co-design of the underpinning conceptual model, and discussion of the ensuing results. In this

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Ottmann, E. J. E., and K. E. Vetter. "Computerized Water Monitoring and Data-Transmission System for Hydrology, Control, and Management." Water Science and Technology 19, no. 7 (1987): 1211. http://dx.doi.org/10.2166/wst.1987.0014.

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For many water affairs and objectives the following functions are often of great importance:–automatic and continuous measurement of parameter and control and regulation of variables–digital acquisition of data, processing, and storage of data in-situ–quick and safe teletransmission of data to a computing or service centre. Thanks to computer-aided data acquisition and automated stations, today these functions can be performed in a cost-effective way. Furthermore, it is possible to profit by the efficiency and availability of such systems for a variety of projects in the field of water managem

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., Quy Ngoc Bui, Hien Dinh Le, Hiep Van Pham ., Tung Son Vu, Quan Anh Duong ., and Trang Thu Thi Tran. "Building a program to automatically classify point cloud data." Journal of Mining and Earth Sciences 64, no. 4 (2023): 1–11. http://dx.doi.org/10.46326/jmes.2023.64(4).01.

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Along with cartography science and technology development, data acquisition through aeronautical laser scanning systems has been developing. This is an essential and detailed data source for database construction, mapping, and city 3D modeling,... City 3D modeling requires processing many types of data, at which point cloud data processing and classification play an essential role in creating input data sources for the model. However, the processing and classification of point cloud data mainly depend on commercial software with very high costs; moreover, the algorithms and parameters of comme

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Fan, Dong Li, Xi Min Cui, De Bao Yuan, Ya Hui Qiu, Kun Wang, and Xi Xi Jia. "Based on GIS and MATLAB Technology Forecast the Dynamic Variation of the Groundwater in Minqin Oasis." Applied Mechanics and Materials 195-196 (August 2012): 1327–34. http://dx.doi.org/10.4028/www.scientific.net/amm.195-196.1327.

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This paper carried out interpolation processing to the groundwater hydrology data of Minqin oasis from 2000 to 2009, via ArcGIS software. Analyzed the result, it was concluded that the distribution rule about spatio-temporal distribution and change of the groundwater depth and mineralization. Using MATLAB the program language, the grey forecasting model was well fitted compared to the time series forecasting model. For the next five years, the groundwater depth and mineralization changes were forecasted, and the author put forward some concrete proposals.

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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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Bessin, Zoé, Jean-Pierre Dedieu, Yves Arnaud, et al. "Processing of VENµS Images of High Mountains: A Case Study for Cryospheric and Hydro-Climatic Applications in the Everest Region (Nepal)." Remote Sensing 14, no. 5 (2022): 1098. http://dx.doi.org/10.3390/rs14051098.

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In the Central Himalayas, glaciers and snowmelt play an important hydrological role, as they ensure the availability of surface water outside the monsoon period. To compensate for the lack of field measurements in glaciology and hydrology, high temporal and spatial resolution optical remotely sensed data are necessary. The French–Israeli VENµS Earth observation mission has been able to complement field measurements since 2017. The aim of this paper is to evaluate the performance of different reflectance products over the Everest region for constraining the energy balance of glaciers and for cl

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Malou, T., and J. Monnier. "Covariance kernels investigation from diffusive wave equations for data assimilation in hydrology." Inverse Problems 38, no. 4 (2022): 045003. http://dx.doi.org/10.1088/1361-6420/ac509d.

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Abstract In data assimilation (DA), the estimation of the background error covariance operator is a classical and still open topic. However, this operator is often modeled using empirical information. In order to exploit at best the potential of the knowledge of the physics, the present study proposes a method to derive covariance operators from the underlying equations. In addition, Green’s kernels can be used to model covariance operators and are naturally linked to them. Therefore, Green’s kernels of equations representing physics can provide physically-derived estimates of the background e

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Capra, Alessandro, Francesco Mancini, and Monia Negusini. "GPS as a geodetic tool for geodynamics in northern Victoria Land, Antarctica." Antarctic Science 19, no. 1 (2007): 107–14. http://dx.doi.org/10.1017/s0954102007000156.

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The VLNDEF (Victoria Land Network for DEFormation control) project started in 1999 with the aim of detecting crustal deformation in Northern Victoria Land (Antarctica) over an area that had never been surveyed by a dense GPS network before. After a brief summary of the Italian geodetic activities carried out since 1991, the paper presents the results obtained from the processing of data collected from 1999 to 2003. In particular, processing strategies were dealt with, in order to produce horizontal and vertical displacement maps through GPS observations. Absolute motions in a global reference

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Abdollahi, Banafsheh, Fakhereh Alidoost, Davood Moshir Panahi, Rolf Hut, and Nick van de Giesen. "ERA5 and ERA-Interim Data Processing for the GlobWat Global Hydrological Model." Water 14, no. 12 (2022): 1950. http://dx.doi.org/10.3390/w14121950.

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The reproducibility of computational hydrology is gaining attention among hydrologists. Reproducibility requires open and reusable code and data, allowing users to verify results and process new datasets. The creation of input files for global hydrological models (GHMs) requires complex high-resolution gridded dataset processing, limiting the model’s reproducibility to groups with advanced programming skills. GlobWat is one of these GHMs, which was developed by the Food and Agriculture Organization (FAO) to assess irrigation water use. Although the GlobWat code and sample input data are availa

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Ren, Yi, Tianyi Zhang, Xurong Dong, et al. "WaterGPT: Training a Large Language Model to Become a Hydrology Expert." Water 16, no. 21 (2024): 3075. http://dx.doi.org/10.3390/w16213075.

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This paper introduces WaterGPT, a language model designed for complex multimodal tasks in hydrology. WaterGPT is applied in three main areas: (1) processing and analyzing data such as images and text in water resources, (2) supporting intelligent decision-making for hydrological tasks, and (3) enabling interdisciplinary information integration and knowledge-based Q&A. The model has achieved promising results. One core aspect of WaterGPT involves the meticulous segmentation of training data for the supervised fine-tuning phase, sourced from real-world data and annotated with high quality us

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Zlinszky, A., and G. Timár. "Historic maps as a data source for socio-hydrology: a case study of the Lake Balaton wetland system, Hungary." Hydrology and Earth System Sciences 17, no. 11 (2013): 4589–606. http://dx.doi.org/10.5194/hess-17-4589-2013.

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Abstract. Socio-hydrology is the science of human influence on hydrology and the influence of the water cycle on human social systems. This newly emerging discipline inherently involves a historic perspective, often focusing on timescales of several centuries. While data on human history is typically available for this time frame, gathering information on the hydrological situation during such a period can prove difficult: measured hydrological data for such long periods are rare, while models and secondary data sets from geomorphology, pedology or archaeology are typically not accurate enough

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Liakos, Leonidas, and Panos Panagos. "Challenges in the Geo-Processing of Big Soil Spatial Data." Land 11, no. 12 (2022): 2287. http://dx.doi.org/10.3390/land11122287.

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This study addressed a critical resource—soil—through the prism of processing big data at the continental scale. Rapid progress in technology and remote sensing has majorly improved data processing on extensive spatial and temporal scales. Here, the manuscript presents the results of a systematic effort to geo-process and analyze soil-relevant data. In addition, the main highlights include the difficulties associated with using data infrastructures, managing big geospatial data, decentralizing operations through remote access, mass processing, and automating the data-processing workflow using

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Gostinčar, Petra, and Uroš Stepišnik. "Extent and spatial distribution of karst in Slovenia." Acta geographica Slovenica 63, no. 1 (2023): 111–29. http://dx.doi.org/10.3986/ags.11679.

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This study investigates the spatial distribution of karst in Slovenia using advanced GIS technologies and accurate lithology, hydrology, and digital relief data. Previous approaches led to an incomplete understanding of karst distribution, as they focused on carbonate lithologies and surface features. Our integrated two-step identification method, involving GIS layer overlays and manual review of lithology data, resulted in a comprehensive digital spatial database. We found that karst covers 49.7% of Slovenia's total area, with a diverse range of associated lithologies. This research has impor

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Johansson, E., S. Berglund, T. Lindborg, et al. "Hydrological and meteorological investigations in a periglacial lake catchment near Kangerlussuaq, west Greenland – presentation of a new multi-parameter dataset." Earth System Science Data Discussions 7, no. 2 (2014): 713–56. http://dx.doi.org/10.5194/essdd-7-713-2014.

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Abstract. Few hydrological studies have been made in Greenland, other than on glacial hydrology associated with the ice sheet. Understanding permafrost hydrology and hydroclimatic change and variability, however, provides key information for understanding climate change effects and feedbacks in the Arctic landscape. This paper presents a new extensive and detailed hydrological and meteorological open access dataset, with high temporal resolution from a 1.56 km2 permafrost catchment with a lake underlain by a through talik close to the ice sheet in the Kangerlussuaq region, western Greenland. T

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Výleta, Roman, and Peter Valent. "ADCP Discharge Measurements on the River Danube: Post-Processing and Correction of Data." Slovak Journal of Civil Engineering 27, no. 1 (2019): 7–13. http://dx.doi.org/10.2478/sjce-2019-0002.

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Abstract Accurate measurements and analyses of river discharges are one of the key tasks of hydrology. Nowadays, the traditional methods of discharge measurements are being supplemented or even replaced by novel approaches that utilize state-of-the-art technologies. One approach, which has recently become very popular in the hydrological practice both in Slovakia and abroad, is a method utilizing the Doppler effect of sound waves. In this study, a dataset of 185 discharge measurements on the River Danube was created using a RiverRay portable Acoustic Doppler Current Profiler (ADCP). All the me

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Odunga, George Okoth, John K. Bidzakin, Philip Okaka, Sheila Okoth, Beneah Mutsotso, and Anil R. Graves. "Peanut Value Chain Development: The Case of Lower Lake Victoria Basin of Kenya." Economies 13, no. 4 (2025): 86. https://doi.org/10.3390/economies13040086.

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Peanut is Kenya’s second most important legume after beans, primarily grown in the Nyanza and Western regions. This study maps the peanut value chain in Kenya, aiming to identify key actors, quantify costs and value addition, and outline constraints and opportunities, with a view to upgrading the chain. A cross-sectional survey was conducted among value chain actors in Karachuonyo and Nyakach sub-counties, complemented by secondary data sources. Descriptive statistics were used to analyze socio-economic characteristics, production volumes, pricing, demand trends, and policy-related factors. Th

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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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Abdul Kareem, Baydaa, Salah L. Zubaidi, Hussein Mohammed Ridha, Nadhir Al-Ansari, and Nabeel Saleem Saad Al-Bdairi. "Applicability of ANN Model and CPSOCGSA Algorithm for Multi-Time Step Ahead River Streamflow Forecasting." Hydrology 9, no. 10 (2022): 171. http://dx.doi.org/10.3390/hydrology9100171.

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Accurate streamflow prediction is significant when developing water resource management and planning, forecasting floods, and mitigating flood damage. This research developed a novel methodology that involves data pre-processing and an artificial neural network (ANN) optimised with the coefficient-based particle swarm optimisation and chaotic gravitational search algorithm (CPSOCGSA-ANN) to forecast the monthly water streamflow. The monthly streamflow data of the Tigris River at Amarah City, Iraq, from 2010 to 2020, were used to build and evaluate the suggested methodology. The performance of

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Teng, Tse-Yu, Tzu-Ming Liu, Yu-Shiang Tung, and Ke-Sheng Cheng. "Converting Climate Change Gridded Daily Rainfall to Station Daily Rainfall—A Case Study at Zengwen Reservoir." Water 13, no. 11 (2021): 1516. http://dx.doi.org/10.3390/w13111516.

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With improvements in data quality and technology, the statistical downscaling data of General Circulation Models (GCMs) for climate change impact assessment have been refined from monthly data to daily data, which has greatly promoted the data application level. However, there are differences between GCM downscaling daily data and rainfall station data. If GCM data are directly used for hydrology and water resources assessment, the differences in total amount and rainfall intensity will be revealed and may affect the estimates of the total amount of water resources and water supply capacity. T

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Geissler, Paul E. "Seismic reflection profiling for groundwater studies in Victoria, Australia." GEOPHYSICS 54, no. 1 (1989): 31–37. http://dx.doi.org/10.1190/1.1442574.

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Experimental seismic reflection profiling was employed for groundwater studies in southeastern Australia. Equipment consisted of a simple engineering seismograph and tape recorder, and data reduction was carried out on a minicomputer using a graphics‐based processing system specifically written for the project. The investigation area is the site of a proposed induced groundwater recharge scheme in which surface water would be diverted to infiltrate aquifers outcropping several kilometers from a bore field which supplies up to half of the drinking water for the city of Geelong. The unconsolidat

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Ssembajwe, Ronald, Amina Twah, Rhoda Nakabugo, et al. "Wind and Humidity Nexus over Uganda in the Context of Past and Future Climate Volatility." Climate 13, no. 5 (2025): 86. https://doi.org/10.3390/cli13050086.

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Wind and humidity are two very vital climate variables that have received little attention by researchers regarding Uganda. This study sought to close this knowledge gap by exposing the dynamics and relationship of windspeed and humidity in Uganda from 1980 to 2023 as well as predicting the future trends from 2025 to 2040. Using high-resolution gridded windspeed and relative humidity (RH) data for the past and seven downscaled and bias-adjusted global climate models within the coupled model intercomparison project phase 6 framework under two shared socioeconomic pathways (SSPs), SPP245 and SSP

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KLEMANTOVICH, V., and I. ANDREEVA. "PERSONALITY TRAITS OF GIRLS WITH THE NAMES VICTORIA AND ANASTASIA." Herald of Polotsk State University. Series E. Pedagogical sciences, no. 2 (November 28, 2023): 72–76. http://dx.doi.org/10.52928/2070-1640-2023-40-2-72-76.

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The article describes the results of an empirical study, the purpose of which was to compare the severity of personality traits in women and girls with the names Anastasia and Victoria. To collect empirical material, the following methods were used: “Personality differential” and “16 factor personality questionnaire” by R. Kettell. Data processing methods – Descriptive statistics analysis and Mann-Whitney U difference criterion Significant differences in the severity of the following personality traits were revealed: “Surgency – Desurgency” (“Carelessness – Concer

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Amani, Meisam, Arsalan Ghorbanian, Seyed Ali Ahmadi, et al. "Google Earth Engine Cloud Computing Platform for Remote Sensing Big Data Applications: A Comprehensive Review." IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 13 (September 1, 2020): 5326–50. https://doi.org/10.1109/JSTARS.2020.3021052.

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Remote sensing (RS) systems have been collecting massive volumes of datasets for decades, managing and analyzing of which are not practical using common software packages and desktop computing resources. In this regard, Google has developed a cloud computing platform, called Google Earth Engine (GEE), to effectively address the challenges of big data analysis. In particular, this platform facilitates processing big geo data over large areas and monitoring the environment for long periods of time. Although this platform was launched in 2010 and has proved its high potential for different applic

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Bozzo, E., F. Ferraccioli, M. Gambetta, et al. "Recent progress in magnetic anomaly mapping over Victoria Land (Antarctica) and the GITARA 5 survey." Antarctic Science 11, no. 2 (1999): 209–16. http://dx.doi.org/10.1017/s0954102099000279.

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Magnetic anomaly mapping is used to interpret crustal structure and tectonic evolution of Victoria Land and of the adjacent Ross Sea. Previous interpretation of magnetic anomalies verified seismic and gravimetric findings in the Ross Sea by placing additional constraints both on crustal structure and magmatism of the West Antarctic rift system. An aeromagnetic map of the central-southern part of Victoria Land produced in the framework of the GITARA project, provides new crustal images of part of the Transantarctic Mountains rift shoulder. The map was interpreted to study the transition between

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Mengis, Nadine, David P. Keller, Andrew H. MacDougall, et al. "Evaluation of the University of Victoria Earth System Climate Model version 2.10 (UVic ESCM 2.10)." Geoscientific Model Development 13, no. 9 (2020): 4183–204. http://dx.doi.org/10.5194/gmd-13-4183-2020.

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Abstract. The University of Victoria Earth System Climate Model (UVic ESCM) of intermediate complexity has been a useful tool in recent assessments of long-term climate changes, including both paleo-climate modelling and uncertainty assessments of future warming. Since the last official release of the UVic ESCM 2.9 and the two official updates during the last decade, considerable model development has taken place among multiple research groups. The new version 2.10 of the University of Victoria Earth System Climate Model presented here will be part of the sixth phase of the Coupled Model Inter

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Odhone, Albert Ogoma, Ishmail Mahiri, and Francis Onsongo. "Assessing Gender Roles in Dagaa Fishery Value Chain among Fishing Communities on Lake Victoria, A Case Study of Lake Victoria Beaches In Siaya County, Kenya." International Journal of Current Aspects 4, no. 2 (2020): 13–32. http://dx.doi.org/10.35942/ijcab.v4i2.124.

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Fisheries in the East Africa region have suffered due to less emphasis given to some fishery specifically Dagaa (Rastrineobolaargentea), whose quantity is the highest of all the species in the Lake Victoria. Despite the importance of this resource in Kenya, there has been a concern of gender parity and inequality in terms of roles played by both gender in harvesting, processing, trading and marketing in the Dagaa fishery. This study analyzed gender roles in Dagaa Fishery Value Chain among fishing communities around Lake Victoria in Bondo Sub County, in Siaya County, Kenya. The study addressed

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Loc, Duong Hoang. "Understanding the hydrologyand weather knowledge of the fishermen in the Southwest coastal area: A case study of An Thuy commune (Ba Tri district, Ben Tre province) and Song Doc town (Tran Van Thoi district, Ca Mau province)." Science & Technology Development Journal - Social Sciences & Humanities 4, no. 4 (2020): 622–29. http://dx.doi.org/10.32508/stdjssh.v4i4.580.

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This paper aims to provide an indigenous knowledge system on the weather and hydrology system of the fishermen in the Southwest coastal area which is based on the research data in two specific communities: An Thuy commune (Ba Tri district, Ben Tre province) and Song Doc town (Tran Van Thoi district, Ca Mau province). The research results show that this knowledge is rich, diverse, and has been accumulated by the community for generations, especially to enable them to forecast the weather to preserve assets and lives during fish processing activities. The knowledge of the community related to we

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Tang, Lin, Jian Zhang, Micheal Simpson, et al. "Updates on the Radar Data Quality Control in the MRMS Quantitative Precipitation Estimation System." Journal of Atmospheric and Oceanic Technology 37, no. 9 (2020): 1521–37. http://dx.doi.org/10.1175/jtech-d-19-0165.1.

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AbstractThe Multi-Radar-Multi-Sensor (MRMS) system was transitioned into operations at the National Centers for Environmental Prediction in the fall of 2014. It provides high-quality and high-resolution severe weather and precipitation products for meteorology, hydrology, and aviation applications. Among processing modules, the radar data quality control (QC) plays a critical role in effectively identifying and removing various nonhydrometeor radar echoes for accurate quantitative precipitation estimation (QPE). Since its initial implementation in 2014, the radar QC has undergone continuous re

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