Catch and Release in Marine Recreational Fisheries

2002 ◽  
Keyword(s):  
Real Time ◽  
Recovery Period ◽  
Environmental Parameters ◽  
Population Level ◽  
Locomotory Activity ◽  
Time Data ◽  
Catch And Release ◽  
Migratory Patterns ◽  
Traditional Approaches

<em>Abstract</em>.—Traditional approaches for assessing the effects of catch-and-release angling have focused either on hooking injury, mortality associated with different handling and environmental conditions, or biochemical indicators of short-term stress response and recovery. These methodologies do not permit the collection of real-time data on the sub-lethal effects and recovery period associated with the angling event, nor do they provide information on long-term fitness impacts to angled individuals. The advent of hard-wired, archival, and telemetered technologies capable of collecting information on fish location, locomotory activity, cardiac function, and various environmental parameters provides researchers with powerful methodologies for monitoring the response of individual fish to different stressors. These technologies and approaches have been used primarily with freshwater fishes, but they may be applicable to marine environments. Compared with freshwater systems, there are unquestionably some additional challenges due to unique characteristics of the marine habitat (e.g., depth, vastness, salinity) and behaviors of marine fishes (e.g., migratory patterns). Irrespective of the challenges, fisheries scientists must begin to look beyond hooking mortality as an endpoint for assessing the success of a catch-and-release angling program. Studies need to be conducted that provide real-time information on sublethal physiological effects, disruptions in behavior, and long-term impacts on the fitness (lifetime reproductive success) of released fish. Despite the fact that managers are usually concerned with population level effects, additional individuallevel comprehensive studies are required before we can attempt to understand if and how catch-and-release angling affects populations.

Intensifiers on Tyneside

2010 ◽  
Vol 31 (3) ◽  
pp. 252-287 ◽  
Author(s):  
Katie Barnfield ◽  
Isabelle Buchstaller
Keyword(s):  
Real Time ◽  
Longitudinal Analysis ◽  
Developmental Trajectories ◽  
Time Data ◽  
Longitudinal Changes ◽  
Real Time Data ◽  
Quantitative Development ◽  
First Time

We report on longitudinal changes in the system of intensification in an innovative corpus that spans five decades of dialectal speech. Our analyses allow us — for the first time in a British context — to trace the quantitative development in the variable across four generations. Longitudinal analysis across real and apparent time determines the effect of extralinguistic and intralinguistic variables on intensification in Tyneside and tests to what extent real time data corroborates trends reported from previous apparent time analyses. Long-term competition within the variable manifests itself in distinctive developmental trajectories: expansion — both proportionally within the variable as well as across adjectival categories — tends to follow one of three types of patterns, exemplified, respectively, by really, so and dead. Variant retraction, however, follows only one schema. Importantly, numerical decline in the system does not necessarily go hand in hand with a reduction in breadth of application.

scholarly journals Smart carbon monitoring platform under IoT-Cloud architecture for small cities in B5G

2021 ◽  
Author(s):  
He Zhang ◽  
Jianxun Zhang ◽  
Rui Wang ◽  
Yazhe Huang ◽  
Mengxiao Zhang ◽  
...  
Keyword(s):  
Real Time ◽  
Carbon Emission ◽  
Emission Measurement ◽  
Low Carbon ◽  
Time Data ◽  
Small Cities ◽  
Real Time Data ◽  
Monitoring Platform ◽  
Term Data

AbstractWith the rapid development of the Internet of Things (IoT) in the 5G age, the construction of smart cities around the world consequents on the exploration of carbon reduction path based on IoT technology is an important direction for global low carbon city research. Carbon dioxide emissions in small cities are usually higher than that in large and medium cities. However, due to the huge difference in data environment between small cities and Medium-large sized cities, the weak hardware foundation of the IoT, and the high input cost, the construction of a small city smart carbon monitoring platform has not yet been carried out. This paper proposes a real-time estimate model of carbon emissions at the block and street scale and designs a smart carbon monitoring platform that combines traditional carbon control methods with IoT technology. It can exist long-term data by using real-time data acquired with the sensing device. Therefore, the dynamic monitoring and management of low-carbon development in small cities can be achieved. The contributions are summarized as follows: (1) Intelligent thermoelectric systems, industrial energy monitoring systems, and intelligent transportation systems are three core systems of the monitoring platform. Carbon emission measurement methods based on sample monitoring, long-term data, and real-time data have been established, they can solve the problem of the high cost of IoT equipment in small cities. (2) Combined with long-term data, the real-time correction technology, they can dispose of the matter of differences in carbon emission measurement under diverse scales.

scholarly journals Still normal? Contextualizing real-time data with long-term statistics to monitor anomalies and systematic changes in storm surge activity – Introduction of a prototype web tool storm surge monitor for the German coasts

2021 ◽  
Author(s):  
Xin Liu ◽  
Insa Meinke ◽  
Ralf Weisse
Keyword(s):  
Decision Making ◽  
Real Time ◽  
Storm Surge ◽  
Storm Surges ◽  
Added Value ◽  
Time Data ◽  
Storm Activity ◽  
The Public ◽  
Real Time Data

Abstract. Storm surges represent a major threat to many low-lying coastal areas in the world. While most places can cope with or are more or less adapted to present-day risks, future risks may increase from factors such as sea level rise, subsidence, or changes in storm activity. This may require further or alternative adaptation and strategies. For most places, both forecasts and real-time observations are available. However, analyses of long-term changes or recent severe extremes that are important for decision-making are usually only available sporadically or with substantial delay. In this paper, we propose to contextualize real-time data with long-term statistics to make such information publicly available in near real-time. We implement and demonstrate the concept of a ”storm surge monitor” for tide gauges along the German North Sea and Baltic Sea coasts. It provides automated near real-time assessments of the course and severity of the ongoing storm surge season and its single events. The assessment is provided in terms of storm surge height, frequency, duration, and intensity. It is proposed that such near real-time assessments provide added value to the public and decision-making. It is further suggested that the concept is transferable to other coastal regions threatened by storm surges.

Advanced Real Time and Long Term Monitoring of Transportation Pipelines

2014 ◽  
Author(s):  
Giancarlo Bernasconi ◽  
Silvio Del Giudice ◽  
Giuseppe Giunta
Keyword(s):  
Real Time ◽  
Acoustic Waves ◽  
Surrounding Medium ◽  
Third Party ◽  
Time Data ◽  
Gas Industry ◽  
The Sustainable Development ◽  
Environment Exposure ◽  
Key Factor

A key factor for the sustainable development of oil&gas industry is the remote monitoring of integrity and reliability of transportation pipelines. In order to mitigate the risk associated to third party interference (TPI) risks and to minimize the environment exposure, it is possible to deploy a Multipoint Acoustic Sensing (MAS) technology which makes use of multi sensors placed at discrete distances along the pipeline. Any interaction with the pipe generates acoustic waves that are guided within the fluid (gas, oil, products or water) for long distances, providing information on the source event and on the “transmission” channel. Acoustic propagation is mainly governed by both absorption coefficient and sound speed, which in turn are functions of the pipe, fluid and surrounding medium system. These features have been analyzed by processing real-time data collected with a proprietary MAS system (e-vpms™) on fluid transportation pipelines, in different operational and flow service conditions, producing exhaustive sets of TPI actions, leak trials and tracking pig inspections. The paper presents original procedures for real-time monitoring, as well as for long term supervision and advance intervention planning.

scholarly journals Evaluation of Quantitative Precipitation Estimations through Hydrological Modeling in IFloodS River Basins

2017 ◽  
Vol 18 (2) ◽  
pp. 529-553 ◽  
Author(s):  
Huan Wu ◽  
Robert F. Adler ◽  
Yudong Tian ◽  
Guojun Gu ◽  
George J. Huffman
Keyword(s):  
Real Time ◽  
River Basin ◽  
Hydrological Modeling ◽  
Research Quality ◽  
Quality Data ◽  
Time Data ◽  
Modeling Framework ◽  
Precipitation Estimation ◽  
Precipitation Bias

Abstract A multiple-product-driven hydrologic modeling framework (MMF) is utilized for evaluation of quantitative precipitation estimation (QPE) products, motivated by improving the utility of satellite QPE in global flood modeling. This work addresses the challenge of objectively determining the relative value of various QPEs at river basin/subbasin scales. A reference precipitation dataset is created using a long-term water-balance approach with independent data sources. The intercomparison of nine QPEs and corresponding hydrologic simulations indicates that all products with long-term (2002–13) records have similar merits as over the short-term (April–June 2013) Iowa Flood Studies period. The model performance in calculated streamflow varies approximately linearly with precipitation bias, demonstrating that the model successfully translated the level of precipitation quality to streamflow quality with better streamflow simulations from QPEs with less bias. Phase 2 of the North American Land Data Assimilation System (NLDAS-2) has the best streamflow results for the Iowa–Cedar River basin, with daily and monthly Nash–Sutcliffe coefficients and mean annual bias of 0.81, 0.88, and −2.1%, respectively, for the long-term period. The evaluation also indicates that a further adjustment of NLDAS-2 to form the best precipitation estimation should consider spatial–temporal distribution of bias. The satellite-only products have lower performance (peak and timing) than other products, while simple bias adjustment can intermediately improve the quality of simulated streamflow. The TMPA research product (TMPA-RP; research-quality data) can generate results approaching those of the ground-based products with only monthly gauge-based adjustment to the TMPA real-time product (TMPA-RT; near-real-time data). It is further noted that the streamflow bias is strongly correlated to precipitation bias at various time scales, though other factors may play a role as well, especially on the daily time scale.

scholarly journals MIRRA: A Modular and Cost-Effective Microclimate Monitoring System for Real-Time Remote Applications

Sensors ◽  
2021 ◽  
Vol 21 (13) ◽  
pp. 4615
Author(s):  
Olivier Pieters ◽  
Emiel Deprost ◽  
Jonas Van Der Donckt ◽  
Lore Brosens ◽  
Pieter Sanczuk ◽  
...  
Keyword(s):  
Climate Change ◽  
Real Time ◽  
Monitoring System ◽  
Low Cost ◽  
Cost Effective ◽  
Time Data ◽  
Real Time Data ◽  
Microclimate Monitoring ◽  
Weather Stations

Monitoring climate change, and its impacts on ecological, agricultural, and other societal systems, is often based on temperature data derived from official weather stations. Yet, these data do not capture most microclimates, influenced by soil, vegetation and topography, operating at spatial scales relevant to the majority of organisms on Earth. Detecting and attributing climate change impacts with confidence and certainty will only be possible by a better quantification of temperature changes in forests, croplands, mountains, shrublands, and other remote habitats. There is an urgent need for a novel, miniature and simple device filling the gap between low-cost devices with manual data download (no instantaneous data) and high-end, expensive weather stations with real-time data access. Here, we develop an integrative real-time monitoring system for microclimate measurements: MIRRA (Microclimate Instrument for Real-time Remote Applications) to tackle this problem. The goal of this platform is the design of a miniature and simple instrument for near instantaneous, long-term and remote measurements of microclimates. To that end, we optimised power consumption and transfer data using a cellular uplink. MIRRA is modular, enabling the use of different sensors (e.g., air and soil temperature, soil moisture and radiation) depending upon the application, and uses an innovative node system highly suitable for remote locations. Data from separate sensor modules are wirelessly sent to a gateway, thus avoiding the drawbacks of cables. With this sensor technology for the long-term, low-cost, real-time and remote sensing of microclimates, we lay the foundation and open a wide range of possibilities to map microclimates in different ecosystems, feeding a next generation of models. MIRRA is, however, not limited to microclimate monitoring thanks to its modular and wireless design. Within limits, it is suitable or any application requiring real-time data logging of power-efficient sensors over long periods of time. We compare the performance of this system to a reference system in real-world conditions in the field, indicating excellent correlation with data collected by established data loggers. This proof-of-concept forms an important foundation to creating the next version of MIRRA, fit for large scale deployment and possible commercialisation. In conclusion, we developed a novel wireless cost-effective sensor system for microclimates.

Coastal observatory for long-term measurement and real time data processing of oceanological parameters

Oceanology ◽  
2010 ◽  
Vol 50 (1) ◽  
pp. 139-147
Author(s):  
S. A. Sviridov ◽  
N. A. Palshin ◽  
V. A. Solovyev ◽  
A. V. Zaretskiy ◽  
A. A. Metal’nikov
Keyword(s):  
Data Processing ◽  
Real Time ◽  
Time Data ◽  
Real Time Data ◽  
Coastal Observatory ◽  
Real Time Data Processing ◽  
Long Term Measurement

Digitalized Implant Occlusion with the T-Scan System

2015 ◽  
pp. 562-601
Author(s):  
Jinhwan Kim, DDS, MS, PhD
Keyword(s):  
Real Time ◽  
Force Control ◽  
Tissue Loss ◽  
Dental Practice ◽  
Time Data ◽  
Occlusal Force ◽  
Occlusal Contact ◽  
Timing Data ◽  
Implant Restoration

The relative occlusal force and real-time occlusal contact timing data provided by the T-Scan technology can be used to manage the insertion occlusal force design of implant prostheses, as their long-term survivability is tied directly to their installed occlusal function. This chapter discusses how in daily dental practice clinicians spend a great deal of time making corrective occlusal adjustments using solely articulating paper as their intended guide. However, current research shows that articulating paper markings do not measure occlusal force, such that implant occlusal force control is compromised, which can lead to peri-implant tissue loss, breakage of implant restorative components, and de-osseointegration. However, by using the T-Scan technology, the clinician eliminates the subjectivity involved in using articulating paper ensuring the occlusal design of newly installed implant prostheses are optimal improving prosthesis longevity. Examples are presented of how T-Scan force and time data can aid in implant restoration occlusal force control.

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