Published: Jan. 1, 2024
Language: Английский
Journal of Hydroinformatics, Journal Year: 2024, Volume and Issue: 26(3), P. 589 - 607
Published: March 1, 2024
Abstract The significance of improving rainfall prediction methods has escalated due to climate change-induced flash floods and severe flooding. In this study, nowcasting been studied utilizing NASA Giovanni satellite-derived precipitation products the convolutional long short-term memory (ConvLSTM) approach. goal study is assess impact data augmentation on flood nowcasting. Due requirements deep learning-based methods, performed using eight different interpolation techniques. Spatial, temporal, spatio-temporal interpolated are used conduct a comparative analysis results obtained through rainfall. This research examines two catastrophic that transpired in Türkiye Marmara Region 2009 Central Black Sea 2021, which selected as focal case studies. regions prone frequent flooding, which, dense population, devastating consequences. Furthermore, these exhibit distinct topographical characteristics patterns, frontal systems them also dissimilar. nowcast for significant difference. Although significantly reduced error values by 59% one region, it did not yield same effectiveness other region.
Language: Английский
Citations
9
Theoretical and Applied Climatology, Journal Year: 2024, Volume and Issue: 155(7), P. 7035 - 7048
Published: June 11, 2024
Language: Английский
Citations
5
EarthArXiv (California Digital Library), Journal Year: 2024, Volume and Issue: unknown
Published: May 2, 2024
Harmful algal blooms (HABs) are one of the major environmental concerns, as they have various negative effects on public health, recreational services, ecological balance, wildlife, fisheries, microbiota, water quality, and economics. HABs caused by many sources, such pollution based agricultural activities, wastewater treatment plant discharges, leakages from sewer systems, natural factors like pH light levels, climate change impacts. While causes recognized, it is unknown how toxin-producing algae develop well key processes components that contribute to their weight due distinct dynamics each lake variety unpredictability conditions influencing these dynamics. Modeling in a changing essential for achieving sustainable development goals regarding clean sanitation. However, lack consistent adequate data significant challenge all studies. In this study, we employed sparse identification nonlinear (SINDy) technique model microcystin, an toxin, utilizing dissolved oxygen quality metric evaporation meteorological parameter. SINDy novel approach combines regression machine learning methods reconstruct analytical representation dynamical system. Moreover, model-driven web-based interactive tool was created disseminate education, raise awareness HAB events, produce more effective solutions problems through what-if scenarios. This web platform allows tracking status lakes observing impact specific parameters harmful formation. Users can easily share images user-friendly platform, allowing others view lakes.
Language: Английский
Citations
4
Water Conservation Science and Engineering, Journal Year: 2025, Volume and Issue: 10(1)
Published: April 1, 2025
Language: Английский
Citations
0
EarthArXiv (California Digital Library), Journal Year: 2024, Volume and Issue: unknown
Published: Aug. 29, 2024
Drought indicators, which are quantitative measurements of drought severity and duration, used to monitor predict the risk effects drought, particularly in relation sustainability agriculture water supplies. This research uses causal inference information theory discover index, is most efficient indicator for agricultural productivity a valuable metric estimating predicting crop yield. The connection between precipitation, maximum air temperature, indices corn soybean yield ascertained by cross convergent mapping (CCM), while transfer them determined through entropy (TE). conducted on rainfed lands Iowa, considering phenological stages crops. Based nonlinearity analysis using S-map, it that causality could not be carried out CCM due absence data. results intriguing as they uncover both precipitation temperature indices. analysis, with strongest relationship production SPEI-9m SPI-6m during silking period, SPI-9m doughing period. Therefore, these may considered effective predictors prediction models. study highlights need periods when production, differs two periods.
Language: Английский
Citations
2
EarthArXiv (California Digital Library), Journal Year: 2023, Volume and Issue: unknown
Published: Nov. 28, 2023
The Upper Mississippi Information System (UMIS) is a cyberinfrastructure framework designed to support large-scale real-time water quality data integration, analysis, and visualization for the River Basin (UMRB). UMIS intended directly address three of Grand Challenges Engineering including: 1) understanding access clean drinking water, 2) management nitrogen cycle, 3) engineering tools scientific discovery. provide significant immediate long-term impacts including central platform access, discovery, adoption services. demonstrates that public aggregators repositories can important services anyone interested in research or education. In addition, working across multiple scales (e.g., state, region, county, watershed) allows researchers understand broad narrow effects strategies. Exploration these encourages development problem-based questions eventually feedback policies.
Language: Английский
Citations
6
Journal of Hydroinformatics, Journal Year: 2024, Volume and Issue: 26(8), P. 1970 - 1988
Published: Aug. 1, 2024
ABSTRACT The Upper Mississippi Information System (UMIS) is a cyberinfrastructure framework designed to support large-scale real-time water-quality data integration, analysis, and visualization for the River Basin (UMRB). UMIS intended directly address three of Grand Challenges Engineering including (1) understanding access clean drinking water, (2) management nitrogen cycle, (3) engineering tools scientific discovery. provide significant immediate long-term impacts central platform access, discovery, adoption services. demonstrates that public aggregators repositories can important services anyone interested in research or education. In addition, working across multiple scales (e.g., state, region, county, watershed) allows researchers understand broad narrow effects strategies. Exploration these encourages development problem-based questions eventually feedback policies.
Language: Английский
Citations
1
EarthArXiv (California Digital Library), Journal Year: 2024, Volume and Issue: unknown
Published: May 31, 2024
The rapid advancement and widespread adoption of technology, particularly in web applications artificial intelligence, have significantly impacted various sectors, including industry, social media, government, research. This surge technological utilization has played a pivotal role the evolution hydrogeological environmental sciences, empowering researchers to harness available technologies for data collection, analysis, communication. study presents comprehensive bibliometric analysis spanning from 2018 mid-2023, focusing on integration computing within realm hydrological sciences. Leveraging Elsevier database, we identified 3,701 manuscripts incorporating range keywords, utilizing mining techniques extract pertinent information. Through application topic detection algorithms, established correlations between primary themes papers subjects. Our findings highlight notable increase cutting-edge such as machine learning signaling promising trend towards further innovation research practices.
Language: Английский
Citations
0
EarthArXiv (California Digital Library), Journal Year: 2024, Volume and Issue: unknown
Published: Aug. 2, 2024
Of all natural disasters that occur on this planet, flood events are universally one of the most common and destructive. As climate change human actions continue to cause occurrence rise, it becomes increasingly important effects flooding analyzed understood. In study, nine different types critical amenities in state Iowa (such as hospitals, fire stations, schools, etc.) were a county level terms depth, functionality restoration time after flooding, damage sustained during flooding. These also their location relative 100yr 500yr zones. Results show number within extent reached up 39%, scenario but six chosen counties lost 100% amenities. Most found have depth 1 4 ft deep 480 days. The purpose study is bring awareness decision makers regarding risk pose highlight increasing dangers broader scale. This will be beneficial improve mitigation strategies, emergency response plans, ensuring services available event future floods for affected areas.
Language: Английский
Citations
0
Hydrological Sciences Journal, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 18
Published: Aug. 19, 2024
Flood wave propagation involves complex flow variable dependencies. Continuous in-situ hydrograph peak magnitude and timing data provide the most relevant information for understanding these New acoustic instruments can produce experimental evidence by extracting usable signals from noisy datasets. This study presents a new screening protocol to smoothen streamflow unwanted influences noise generated perturbations observational fluctuations. The combines quantitative (statistical fitness parameters) qualitative (domain expert judgments) evaluations. It is tested with 18 smoothing methods identify optimal conditioning candidates. Sensitivity analyses assess validity, generality, scalability of procedures. goal this analysis set mathematical foundation empirical results that lead unified, general conclusions on principles or protocols unsteady flows propagating in open channels, formulating practical guidance future acquisition processing, using better support data-driven modeling efforts.
Language: Английский
Citations
0