scholarly journals Evaporation from weighing precipitation gauges: impacts on automated gauge measurements and quality assurance methods

2015 ◽  
Vol 8 (6) ◽  
pp. 2291-2300 ◽  
Author(s):  
R. D. Leeper ◽  
J. Kochendorfer
Keyword(s):  
Average Method ◽  
Weighted Average ◽  
The Other ◽  
Reference Network ◽  
Weighted Average Method ◽  
The World ◽  
Average Loss ◽  
Precipitation Gauge ◽  
The Impact

Abstract. Evaporation from a precipitation gauge can cause errors in the amount of measured precipitation. For automated weighing-bucket gauges, the World Meteorological Organization (WMO) suggests the use of evaporative suppressants and frequent observations to limit these biases. However, the use of evaporation suppressants is not always feasible due to environmental hazards and the added cost of maintenance, transport, and disposal of the gauge additive. In addition, research has suggested that evaporation prior to precipitation may affect precipitation measurements from auto-recording gauges operating at sub-hourly frequencies. For further evaluation, a field campaign was conducted to monitor evaporation and its impacts on the quality of precipitation measurements from gauges used at U.S. Climate Reference Network (USCRN) stations. Two Geonor gauges were collocated, with one gauge using an evaporative suppressant (referred to as Geonor-NonEvap) and the other with no suppressant (referred to as Geonor-Evap) to evaluate evaporative losses and evaporation biases on precipitation measurements. From June to August, evaporative losses from the Geonor-Evap gauge exceeded accumulated precipitation, with an average loss of 0.12 mm h−1. The impact of evaporation on precipitation measurements was sensitive to the choice of calculation method. In general, the pairwise method that utilized a longer time series to smooth out sensor noise was more sensitive to gauge evaporation (−4.6% bias with respect to control) than the weighted-average method that calculated depth change over a smaller window (

scholarly journals Evaporation from weighing precipitation gauges: impacts on automated gauge measurements and quality assurance methods

2014 ◽  
Vol 7 (12) ◽  
pp. 12851-12871
Author(s):  
R. D. Leeper ◽  
J. Kochendorfer
Keyword(s):  
Time Series ◽  
Quality Assurance ◽  
Computational Methods ◽  
Reference Network ◽  
Total Precipitation ◽  
Calculation Methods ◽  
The World ◽  
Average Loss ◽  
The Impact

Abstract. The effects of evaporation on precipitation measurements have been understood to bias total precipitation lower. For automated weighing-bucket gauges, the World Meteorological Organization (WMO) suggests the use of evaporative suppressants with frequent observations. However, the use of evaporation suppressants is not always feasible due to environmental hazards and the added cost of maintenance, transport, and disposal of the gauge additive. In addition, research has suggested that evaporation prior to precipitation may affect precipitation measurements from auto-recording gauges operating at sub-hourly frequencies. For further evaluation, a field campaign was conducted to monitor evaporation and its impacts on the quality of precipitation measurements from gauges used at US Climate Reference Network (USCRN) stations. Collocated Geonor gauges with (nonEvap) and without (evap) an evaporative suppressant were compared to evaluate evaporative losses and evaporation biases on precipitation measurements. From June to August, evaporative losses from the evap gauge exceeded accumulated precipitation, with an average loss of 0.12 mm h−1. However, the impact of evaporation on precipitation measurements was sensitive to calculation methods. In general, methods that utilized a longer time series to smooth out sensor noise were more sensitive to gauge (−4.6% bias with respect to control) evaporation than methods computing depth change without smoothing (< +1% bias). These results indicate that while climate and gauge design affect gauge evaporation rates computational methods can influence the magnitude of evaporation bias on precipitation measurements. It is hoped this study will advance QA techniques that mitigate the impact of evaporation biases on precipitation measurements from other automated networks.

scholarly journals Assessing the Robustness of a Factory Amid the COVID-19 Pandemic: A Fuzzy Collaborative Intelligence Approach

Healthcare ◽  
2020 ◽  
Vol 8 (4) ◽  
pp. 481
Author(s):  
Toly Chen ◽  
Yu-Cheng Wang ◽  
Min-Chi Chiu
Keyword(s):  
Average Method ◽  
Weighted Average ◽  
Ideal Solution ◽  
Weighted Average Method ◽  
Fuzzy Weighted Average ◽  
Order Preference ◽  
Collaborative Intelligence ◽  
The Impact ◽  
Intelligence Approach ◽  
Assessment Result

The COVID-19 pandemic has affected the operations of factories worldwide. However, the impact of the COVID-19 pandemic on different factories is not the same. In other words, the robustness of factories to the COVID-19 pandemic varies. To explore this topic, this study proposes a fuzzy collaborative intelligence approach to assess the robustness of a factory to the COVID-19 pandemic. In the proposed methodology, first, a number of experts apply a fuzzy collaborative intelligence approach to jointly evaluate the relative priorities of factors that affect the robustness of a factory to the COVID-19 pandemic. Subsequently, based on the evaluated relative priorities, a fuzzy weighted average method is applied to assess the robustness of a factory to the COVID-19 pandemic. The assessment result can be compared with that of another factory using a fuzzy technique for order preference by similarity to ideal solution. The proposed methodology has been applied to assess the robustness of a wafer fabrication factory in Taiwan to the COVID-19 pandemic.

Modernism, Empiricism, and Rationalism

2016 ◽  
Vol 46 (1) ◽  
pp. 38-47
Author(s):  
Geoffrey Squires
Keyword(s):  
Twentieth Century ◽  
The Other ◽  
Modern Poetry ◽  
Philosophical Perspective ◽  
Irish Poetry ◽  
Dimensional Spectrum ◽  
Culture History ◽  
The World ◽  
The Impact ◽  
Rule Out

Modernism is usually defined historically as the composite movement at the beginning of the twentieth century which led to a radical break with what had gone before in literature and the other arts. Given the problems of the continuing use of the concept to cover subsequent writing, this essay proposes an alternative, philosophical perspective which explores the impact of rationalism (what we bring to the world) on the prevailing empiricism (what we take from the world) of modern poetry, which leads to a concern with consciousness rather than experience. This in turn involves a re-conceptualisation of the lyric or narrative I, of language itself as a phenomenon, and of other poetic themes such as nature, culture, history, and art. Against the background of the dominant empiricism of modern Irish poetry as presented in Crotty's anthology, the essay explores these ideas in terms of a small number of poets who may be considered modernist in various ways. This does not rule out modernist elements in some other poets and the initial distinction between a poetics of experience and one of consciousness is better seen as a multi-dimensional spectrum that requires further, more detailed analysis than is possible here.

scholarly journals The Impact of COVID-19 Pandemic and Lockdown Measures on Quality of Life among Italian General Population

2021 ◽  
Vol 10 (2) ◽  
pp. 289 ◽  
Author(s):  
Maria Stella Epifanio ◽  
Federica Andrei ◽  
Giacomo Mancini ◽  
Francesca Agostini ◽  
Marco Andrea Piombo ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Online Survey ◽  
Physical Space ◽  
Sampling Strategy ◽  
World Health ◽  
Snowball Sampling ◽  
World Health Organization Quality ◽  
The World ◽  
The Impact

The COVID-19 pandemic that has hit the world in the year 2020 has put a strain on our ability to cope with events and revolutionized our daily habits. On 9 March, Italy was forced to lockdown to prevent the spread of the infection, with measures including the mandatory closure of schools and nonessential activities, travel restrictions, and the obligation to spend entire weeks in the same physical space. The aim of this study was to assess the impact of the COVID-19 pandemic and lockdown measures on quality of life (QoL) in a large Italian sample, in order to investigate possible differences in QoL levels related to both demographic and pandemic-specific variables. A total of 2251 Italian adults (1665 women, mainly young and middle adults) were recruited via a snowball sampling strategy. Participants were requested to answer to an online survey, which included demographic and COVID-related information items, and the World Health Organization Quality of Life BREF questionnaire (WHOQOL-BREF). The results showed statistically significant differences in QoL depending on a number of variables, including sex, area of residence in Italy, and being diagnosed with a medical/psychiatric condition. To our knowledge, this is the first study to assess QoL during COVID-19 pandemic in Italy, therefore the present findings can offer guidelines regarding which social groups are more vulnerable of a decline in QoL and would benefit of psychological interventions.

Risks of the Digitalization of Life of the Population and Ways of Decreasing Them

2021 ◽  
Vol 13 (4-1) ◽  
pp. 180-203
Author(s):  
Elena Stukalenko ◽  
Keyword(s):  
Quality Of Life ◽  
Digital Technologies ◽  
Well Being ◽  
Digital Economy ◽  
Digital Transformation ◽  
Negative Consequences ◽  
Short Period ◽  
The World ◽  
The Impact

Digital technologies, ubiquitous in our daily life, have radically changed the way we work, communicate, and consume in a short period of time. They affect all components of quality of life: well-being, work, health, education, social connections, environmental quality, the ability to participate and govern civil society, and so on. Digital transformation creates both opportunities and serious risks to the well-being of people. Researchers and statistical agencies around the world are facing a major challenge to develop new tools to analyze the impact of digital transformation on the well-being of the population. The risks are very diverse in nature and it is very difficult to identify the key factor. All researchers conclude that secure digital technologies significantly improve the lives of those who have the skills to use them and pose a serious risk of inequality for society, as they introduce a digital divide between those who have the skills to use them and those who do not. In the article, the author examines the risks created by digital technologies for some components of the quality of life (digital component of the quality of life), which are six main components: the digital quality of the population, providing the population with digital benefits, the labor market in the digital economy, the impact of digitalization on the social sphere, state electronic services for the population and the security of information activities. The study was carried out on the basis of the available statistical base and the results of research by scientists from different countries of the world. The risks of the digital economy cannot be ignored when pursuing state social policy. Attention is paid to government regulation aimed at reducing the negative consequences of digitalization through the prism of national, federal projects and other events.

Front vehicle detection based on improved fusion method for lidar and visual image

2022 ◽  
pp. 095440702110685
Author(s):  
Aijuan Li ◽  
Zhenghong Chen ◽  
Donghong Ning ◽  
Xin Huang ◽  
Gang Liu
Keyword(s):  
Average Method ◽  
Weighted Average ◽  
Visual Image ◽  
Vehicle Detection ◽  
Detection Accuracy ◽  
The Real ◽  
Weighted Average Method ◽  
Weighted Fusion ◽  
Vehicle Test ◽  
Real Vehicle

In order to ensure the detection accuracy, an improved adaptive weighted (IAW) method is proposed in this paper to fuse the data of images and lidar sensors for the vehicle object’s detection. Firstly, the IAW method is proposed in this paper and the first simulation is conducted. The unification of two sensors’ time and space should be completed at first. The traditional adaptive weighted average method (AWA) will amplify the noise in the fusion process, so the data filtered with Kalman Filter (KF) algorithm instead of with the AWA method. The proposed IAW method is compared with the AWA method and the Distributed Weighted fusion KF algorithm in the data fusion simulation to verify the superiority of the proposed algorithm. Secondly, the second simulation is conducted to verify the robustness and accuracy of the IAW algorithm. In the two experimental scenarios of sparse and dense vehicles, the vehicle detection based on image and lidar is completed, respectively. The detection data is correlated and merged through the IAW method, and the results show that the IAW method can correctly associate and fuse the data of the two sensors. Finally, the real vehicle test of object vehicle detection in different environments is carried out. The IAW method, the KF algorithm, and the Distributed Weighted fusion KF algorithm are used to complete the target vehicle detection in the real vehicle, respectively. The advantages of the two sensors can give full play, and the misdetection of the target objects can be reduced with proposed method. It has great potential in the application of object acquisition.

Research in Different Categories of UK Universities

1997 ◽  
Vol 11 (5) ◽  
pp. 304-313
Author(s):  
W. O. George ◽  
A. N. Hill
Keyword(s):  
Weighted Average ◽  
Unit Group ◽  
Research Quality ◽  
Average Score ◽  
Social Sciences And Humanities ◽  
Peer Rating ◽  
Subject Areas ◽  
Broad Subject ◽  
The Impact

In this paper, the origins and characteristics of the 102 current UK universities are briefly traced and the outcomes of recent assessments of research quality are summarized for all universities and for the 69 subject units within which assessment was made. The quality of research in a subject unit, group of subject units or complete institution is measured by a weighted average score based on a peer rating of submitted subject units from each university and the numerical values obtained are described within the limitations of the methodology developed. The authors consider the scores in terms of the characteristics of each university and the broad subject areas, science, engineering, social sciences and humanities. They then discuss the industrial link with research in terms of recent government policy inputs, university research outcomes and the impact of market forces on universities from diminishing patterns of some income streams.

scholarly journals Evaluation of a plot-scale methane emission model using eddy covariance observations and footprint modelling

2014 ◽  
Vol 11 (17) ◽  
pp. 4651-4664 ◽  
Author(s):  
A. Budishchev ◽  
Y. Mi ◽  
J. van Huissteden ◽  
L. Belelli-Marchesini ◽  
G. Schaepman-Strub ◽  
...  
Keyword(s):  
Eddy Covariance ◽  
Methane Emission ◽  
Average Method ◽  
Temporal Dynamics ◽  
Weighted Average ◽  
Ambient Atmosphere ◽  
Emission Model ◽  
Closed Chamber ◽  
Weighted Average Method ◽  
Emission Models

Abstract. Most plot-scale methane emission models – of which many have been developed in the recent past – are validated using data collected with the closed-chamber technique. This method, however, suffers from a low spatial representativeness and a poor temporal resolution. Also, during a chamber-flux measurement the air within a chamber is separated from the ambient atmosphere, which negates the influence of wind on emissions. Additionally, some methane models are validated by upscaling fluxes based on the area-weighted averages of modelled fluxes, and by comparing those to the eddy covariance (EC) flux. This technique is rather inaccurate, as the area of upscaling might be different from the EC tower footprint, therefore introducing significant mismatch. In this study, we present an approach to validate plot-scale methane models with EC observations using the footprint-weighted average method. Our results show that the fluxes obtained by the footprint-weighted average method are of the same magnitude as the EC flux. More importantly, the temporal dynamics of the EC flux on a daily timescale are also captured (r2 = 0.7). In contrast, using the area-weighted average method yielded a low (r2 = 0.14) correlation with the EC measurements. This shows that the footprint-weighted average method is preferable when validating methane emission models with EC fluxes for areas with a heterogeneous and irregular vegetation pattern.

scholarly journals BOD Pressure in the sustainability of the Citarum River

2018 ◽  
Vol 52 ◽  
pp. 00037
Author(s):  
Resha Ayu Putri Belinawati ◽  
Tri Edhi Budhi Soesilo ◽  
Herdis Herdiansyah ◽  
Intan Nurul Aini
Keyword(s):  
Local Government ◽  
Biochemical Oxygen Demand ◽  
Quantitative Method ◽  
Oxygen Demand ◽  
River Pollution ◽  
Measuring Instrument ◽  
The World ◽  
Polluted Rivers ◽  
The Impact

As one of the 10 most polluted rivers in the world, Citarum river pollution has become the world’s spotlight. The pollution that occurred along the Citarum River in West Java has been the concern of the local government. Pollution not only comes from a plant and household, but also from industries. In this study the authors use descriptive quantitative method, where researchers will describe and compare the existing variables to see the possibilities that arise. Variable used is the number of industries that exist and how the impact against BOD. Biochemical Oxygen Demand (BOD) is a measuring instrument that is widely used to see the quality of oxygen levels in the water. In this paper shows that there is a possibility if BOD increases if the number of industries increases.

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