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70 results for “Temporal Analysis”
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Research ArticleOpen accessIn the abstractHydrologic Modeling to Evaluate the Impact of Hydraulic Fracturing on Stream Low Flows: Challenges and Opportunities for a Simulation StudySuresh Sharma, Aashish Shrestha, Colleen E. McLean, Scott C. MartinHydraulic fracturing (fracking) has been increasing in the eastern part of Ohio for the last few years leading to the increased stress on water resources, particularly on the hydrological low flows. Yet, evaluation of the various impacts of fracking on stream low flows using appropriate tools is still a challenging issue, even though significant progress has been achieved in recent … …American Journal of Environmental Sciences, Vol. 11, Issue 4 · 7 Aug 2015 · 10,414 accessesView PDFCite
Research ArticleOpen accessIn the abstractPotential Zones of Peruvanthanam and Valiyathodu Sub-Watersheds of Manimala River BasinVadakkepurakkal Rekha, Aikara Varkey George, Rita MendezGroundwater is a dynamic and replenishable natural resource. But in hard rock terrains, its availability is of limited extent. In sub-watershed studies, remote sensing and GIS techniques have the advantages of spatial, spectral and temporal data, covering large and inaccessible areas within a short span of time. Thus this technique has become a very handy tool in assessing and monitoring … …American Journal of Environmental Sciences, Vol. 9, Issue 1 · 20 Feb 2013 · 7,389 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Heuristic Moving Vehicle Location Prediction Technique Via Optimal Paths Selection with Aid of Genetic Algorithm and Feed Forward Back Propagation Neural NetworkE. Baby Anitha, K. DuraiswamyThe moving object or vehicle location prediction based on their spatial and temporal information is an important task in many applications. Different methods were utilized for performing the vehicle movement detection and prediction process. In such works, there is a lack of analysis in predicting the vehicles location in current as well as in future. Moreover, such methods compute the … …Journal of Computer Science, Vol. 8, Issue 12 · 12 Dec 2012 · 8,888 accessesView PDFCite
Research ArticleOpen accessIn the abstractUse of 137Cs Activity to Investigate Sediment Movement and Transport Modeling in River Coastal EnvironmentM. E. Toriman, Muhamad Barzani Gasim, Zulkifli Yusop et al.Conflicts between human and environment always triggered to sedimentation and erosion problems within the coastal areas, Therefore understanding sediment transport processes in a river estuary and coastal waters was important when studying sediment transport and mobility within the river coastal environment. This article aims to investigate the sediment transport and mobility of the Kemaman River estuary, Terengganu Malaysia. In this … …American Journal of Environmental Sciences, Vol. 8, Issue 4 · 22 Jun 2012 · 7,764 accessesView PDFCite
Research ArticleOpen accessIn the abstractTensiomyographic Characteristics of Rectus Femoris after a Single Bout of Intense ExerciseLuis Carrasco Paez, Borja Sañudo Corrales, Moises de Hoyo Lora, Gabriela OchianaProblem statement: It is not well known how local fatigue can impair the contractile properties of skeletal muscle, so the aim of this study was to determine the Tensiomyographic (TMG) characteristics of Rectus Femoris (RF) after a single bout of intense exercise. Approach: Twelve healthy male volunteers (mean±SEM; age, 24.16±0.62 years, height 172.02±1.21 cm, body mass 71.84±2.19 kg, BMI 24.42±0.70 … …Journal of Social Sciences, Vol. 7, Issue 3 · 18 Jul 2011 · 8,543 accessesView PDFCite
Research ArticleOpen accessIn the abstractAssessing the Applicability of Landslide Databases for Hazard Management Using Objective and Subjective Models: Australian Geoinformatic CaseM. OwneghProblem statement: In order to assess the applicability of Australian landslide databases as a hazard management support system, current hard and soft literature and data sources were screened. This assessment resulted in the selection of four main data bases including national landslide database (A), Peril Aus ІІ (B), the Cities project (C) and analytical study of Fell (D). Approach: In … …Current Research in Geoscience, Vol. 1, Issue 1 · 30 Jun 2010 · 10,352 accessesView PDFCite
Research ArticleOpen accessIn the abstractInvestigation of Vegetation Dynamics using Long-Term Normalized Difference Vegetation Index Time-SeriesTamara Bellone, Piero Boccardo, Francesca PerezProblem statement: The Normalized Difference Vegetation Index (NDVI) is the most extensively used satellite-derived index of vegetation health and density. Since climate is one of the most important factors affecting vegetation condition, satellite-derived vegetation indexes have been often used to evaluate climatic and environmental changes at regional and global scale. The proposed study attempted to investigate the temporal vegetation dynamics … …American Journal of Environmental Sciences, Vol. 5, Issue 4 · 31 Aug 2009 · 7,404 accessesView PDFCite
Research ArticleOpen accessIn the abstractEvaluation of Sorghum Density As Affected By Two Water Qualities Under Drip Irrigation SystemB.A. Ould Ahmed, T. Yamamoto, M. Inoue, H. DehghanisanijPot experiment was conducted under glasshouse conditions during 2005 at the Arid Land Research Center, Tottori University in Tottori, Japan. The study presented here was aimed to evaluating the response of sorghum (Sorghum bicolor (L) Moench), density under two different water qualities. The investigation was carried out in randomized complete block design experiments located in a plastic greenhouse. Crop growth … …American Journal of Environmental Sciences, Vol. 3, Issue 4 · 31 Dec 2007 · 6,548 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordTime Series Analysis for Predicting Tea Harvest Yield: A SARIMAX-Based ApproachPallavi Nagpal, Deepika Chaudhary, Jaiteg SinghPrecise prediction of tea yield is crucial for both agricultural planning and economic forecasting. Projection of the future trends, which rely on present and historical data, is the process termed 'forecasting'. Yield prediction is fundamental for research and development. By gathering the yield data over historic times, the researchers can make their work more valuable by predicting the yield patterns. … …Journal of Computer Science, Vol. 22, Issue 2 · 19 Feb 2026 · 1,891 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordSpatio-Temporal Anomaly Detection in Groundwater Electrical Conductivity Using a Hybrid Framework of Isolation Forest and AutoencoderEunji Lee, Seunghyun Lim, Seojun Lee, Abhijit DebnathMonitoring groundwater quality is vital for environmental safety and resource sustainability. This study combines Isolation Forest and Autoencoder models to detect anomalies in Electrical Conductivity (EC) and temperature, using monthly data collected in South Korea between 2006 and 2023. Linear regression and the Mann-Kendall test reveal a weak, episodic downward EC trend. Seasonal decomposition indicates annual cyclicality, while residual analysis … …Journal of Computer Science, Vol. 22, Issue 1 · 14 Feb 2026 · 1,918 accessesView PDFCite