scholarly journals Correlation Between Climatic Factors And Leafminer (Insecta: Agromyzidae) Infestation On Three Vegetable Crops In Chittagong, Bangladesh

2015 ◽  
Vol 41 (1) ◽  
pp. 1-5
Author(s):  
Santosh Mazumdar ◽  
Badrul Amin Bhuiya
Keyword(s):  
Wind Speed ◽  
Climatic Factors ◽  
French Bean ◽  
Infestation Rate ◽  
Vegetable Crops ◽  
Positive Relation ◽  
Significant Relation ◽  
Negative Relation ◽  
Correlation Studies ◽  
The Impact

Present study deals with the impact of climatic factors (temperature, humidity and wind speed) on agromyzid leafminers infestation in three cultivated crops viz. Tomato, French bean and Cowpea. Correlation studies showed that there was significantly positive relation of temperature, whereas wind speed showed negative relation to agromyzid infestation on cultivated crops. But there was no significant relation with humidity. Temperature influenced infestation rate as 18.70 ± 4.12, 16.01 ± 15.85 and 9.38 ± 9.10 % for Tomato, French bean and Cowpea respectively. Asiat. Soc. Bangladesh, Sci. 41(1): 1-5, June 2015

scholarly journals Examine the impact of weather and ambient air pollutant parameters on daily case of COVID-19 in India

2020 ◽  
Author(s):  
Kousik Das ◽  
Nilanjana Das Chatterjee
Keyword(s):  
Wind Speed ◽  
Relative Humidity ◽  
Solar Radiation ◽  
Ambient Air ◽  
List Type ◽  
Positive Relation ◽  
Weather Variables ◽  
Sensitive Analysis ◽  
Negative Relation ◽  
The Impact

AbstractThe present study presents a view on exploring the relationship pattern between COVID 19 daily cases with weather parameters and air pollutants in mainland India. We consider mean temperature, relative humidity, solar radiation, rainfall, wind speed, PM2.5, PM10, SO2, NO2 and CO as independent variable and daily COVID 19 cases as dependent variable for 18 states during 18th march to 30th April, 2020.After dividing the dataset for 0 to 10 day, 10 to 25 days and 0 to 44 days, the current study applied Akaike s Information Criteria (AIC) and Generalized Additive Model (GAM) to examine the kind of relationship between independent variables with COVID 19 cases. Initially GAM model result shows variables like temperature and solar radiation has positive relation (p<0.05) in 0 to 10 days study with daily cases. In 25 days dataset it significantly shows that temperature has positive relation above 23 degree centigrade, SO2 has a negative relationship and relative humidity has negative (between 30% to 45% and > 60%) and a positive relationship (45% to 60%) with COVID 19 cases (p=0.05). 44 days dataset has six parameters includes temperature as positive, relative humidity as negative (between 0 to 45%) and then positive (after >45%), NO2 as Positive (0 to 35 microgram/m3) followed by negative trend (after > 40 microgram/m3), SO2 and rainfall as negative relation. After sensitive analysis, it is found that weather variables like relative humidity, solar radiation and rainfall are more sensitive than temperature and wind speed. Whereas pollutants like NO2, PM2.5, PM10 and CO are more sensitive variables than SO2 in this study. In summary this study finds temperature, relative humidity, solar radiation, wind speed, SO2, PM2.5, and CO may be important factors associated with COVID 19 pandemic.Graphical AbstractHighlights➢There was a significant relationship between daily positive COVID-19 case with weather and pollution factors➢We found PM2.5 and CO positively associated with transmission of positive cases where as NO2 and SO2 have a negative relation after sensitive analysis.➢We have found temperature and wind speed have positive relation whereas, relative humidity and solar radiation have negative relation after sensitive analysis.➢Weather variables like relative humidity and solar radiation and rainfall are more sensitive than temperature and wind speed. Pollutants like NO2, PM2.5, PM10 and CO are more sensitive variables than SO2 in this study.

scholarly journals Dominant climatic factors driving annual runoff changes at the catchment scale across China

2016 ◽  
Vol 20 (7) ◽  
pp. 2573-2587 ◽  
Author(s):  
Zhongwei Huang ◽  
Hanbo Yang ◽  
Dawen Yang
Keyword(s):  
Wind Speed ◽  
Air Temperature ◽  
Climate Changes ◽  
Climatic Factors ◽  
Southern China ◽  
Resource Planning ◽  
Annual Runoff ◽  
Net Radiation ◽  
Catchment Scale ◽  
The Impact

Abstract. With global climate changes intensifying, the hydrological response to climate changes has attracted more attention. It is beneficial not only for hydrology and ecology but also for water resource planning and management to understand the impact of climate change on runoff. In addition, there are large spatial variations in climate type and geographic characteristics across China. To gain a better understanding of the spatial variation of the response of runoff to changes in climatic factors and to detect the dominant climatic factors driving changes in annual runoff, we chose the climate elasticity method proposed by Yang and Yang (2011). It is shown that, in most catchments of China, increasing air temperature and relative humidity have negative impacts on runoff, while declining net radiation and wind speed have positive impacts on runoff, which slow the overall decline in runoff. The dominant climatic factors driving annual runoff are precipitation in most parts of China, net radiation mainly in some catchments of southern China, air temperature and wind speed mainly in some catchments in northern China.

The Impact of the Mandatory Adoption of IFRS in the Fees of Auditing in Companies of BM&FBovespa

2015 ◽  
pp. 172-194 ◽  
Author(s):  
Eduardo Vinícius Bassi Murro ◽  
Tayrine Rodrigues Munhoz ◽  
Guilherme Bittencourt Teixeira ◽  
Isabel Lourenço
Keyword(s):  
Negative Impact ◽  
Financial Statements ◽  
Audit Fees ◽  
Quality Level ◽  
Positive Relation ◽  
Significant Relation ◽  
Final Sample ◽  
Mandatory Adoption ◽  
The Impact

This study aims to investigate if the mandatory adoption of the IFRS by the Brazilian companies listed in BM&FBovespa has made an impact on the audit fees. The final sample was made by 151 companies, between 2009 and 2012. To restrict the relations, other control variables of the size of the companies, of the turnover of auditing companies and of the quality level of the published financial statements were listed. The results made evident that the mandatory adoption of the IFRS represented a significant increase of 20.71% in the auditing fees. It has also been noticed that a positive relation between the auditing fees charged by the services and the size of the companies. However, the rotation of the auditing companies has generated a negative impact, reducing the fees paid to the independent auditors. Related to the quality of the financial statements, it was not verified a statistically significant relation.

Detection of the Impact of Climate Change on Desertification and Sand Dunes Formation East of the Tigris River in Salah Al-Din Governorate Using Remote Sensing Techniques

2020 ◽  
Vol 54 (1A) ◽  
pp. 69-83
Author(s):  
Muaid Rasheed
Keyword(s):  
Wind Speed ◽  
Climatic Factors ◽  
Sand Dunes ◽  
Geological Structure ◽  
Error Matrix ◽  
Vegetation Growth ◽  
Factors Affecting ◽  
Geological Situation ◽  
Remote Sensing Techniques ◽  
The Impact

The study deals with the geological situation of Earth's features, and the effect of climate on them, through monitoring changes that have occurred in Earth's features by applying supervised classification represented by maximum likelihood classification using GIS 10.7 for years 1990–2019 to produce maps of desertification and sand dunes encroachment. The factors forming the Earth's features in the study area vary due to the geological structure, geomorphological processes, and climatic factors, which requires an analysis of these processes and their impact on environmental components. The climate of the study area is characterized by continental characteristics causing significant differences in the geomorphological units of the region, especially sand dunes. The most important climate factors affecting the desertification and dunes are the temperature, evaporation, wind speed and rainfall. Three satellite images were used in this study, obtained from Landsat 5-8 besides, the rate annual of temperature, evaporation, wind speed and the total annual of rainfall obtained from European center ECMWF. To obtain high accuracy of classification, an Error Matrix and Kappa Coefficient was processed using ERDAS. The results showed clear changes in the Earth's features with climate during the entire period, where the increase in the rate of temperature and evaporation enhances desertification and encroachment of dunes due to the dryness of the area resulting from the decrease in rainfall rates due to the lack of vegetation growth, as the area of desertification increased to 3028 km2 in 2019, compared with 1990, while the area of dunes double, in the year 2019 compared to the year 1990. dune encroachment changed directly with the winds as a result of wind blowing in a northwestern direction, so the dunes expanded in the south and southwest direction at the expense of cultivated areas as they encroachments by 20 km compared to 1990.

Aridity Changes and Related Climatic Drivers in the Drylands of China during 1960–2019

2021 ◽  
Vol 60 (4) ◽  
pp. 607-617
Author(s):  
Jinqin Xu ◽  
Yan Zeng ◽  
Xinfa Qiu ◽  
Yongjian He ◽  
Guoping Shi ◽  
...  
Keyword(s):  
Climate Change ◽  
Wind Speed ◽  
Land Surface ◽  
Arid Regions ◽  
Climatic Factors ◽  
Sunshine Duration ◽  
Aridity Index ◽  
Maximum Temperature ◽  
The Impact ◽  
Precipitation And Temperature

AbstractDrylands cover about one-half of the land surface in China and are highly sensitive to climate change. Understanding climate change and its impact drivers on dryland is essential for supporting dryland planning and sustainable development. Using meteorological observations for 1960–2019, the aridity changes in drylands of China were evaluated using aridity index (AI), and the impact of various climatic factors [i.e., precipitation P; sunshine duration (SSD); relative humidity (RH); maximum temperature (Tmax); minimum temperature (Tmin); wind speed (WS)] on the aridity changes was decomposed and quantified. Results of trend analysis based on Sen’s slope estimator and Mann–Kendall test indicated that the aridity trends were very weak when averaged over the whole drylands in China during 1960–2019 but exhibited a significant wetting trend in hyperarid and arid regions of drylands. The AI was most sensitive to changes in water factors (i.e., P and RH), followed by SSD, Tmax, and WS, but the sensitivity of AI to Tmin was very small and negligible. Interestingly, the dominant climatic driver to AI change varied in the four dryland subtypes. The significantly increased P dominated the increase in AI in the hyperarid and arid regions. The significantly reduced WS and the significantly increased Tmax contributed more to AI changes than the P in the semiarid and dry subhumid regions of drylands. Previous studies emphasized the impact of precipitation and temperature on the global or regional dry–wet changes; however, the findings of this study suggest that, beyond precipitation and temperature, the impact of wind speed on aridity changes of drylands in China should be given equal attention.

scholarly journals The Impact of Goodwill Recognition and Goodwill Impairment on the Increasing Holdings of Block Shareholders

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Xiaofang Tan ◽  
Xin Ge ◽  
Qinghua Liu ◽  
Zhengjun Yuan
Keyword(s):  
Private Information ◽  
Stock Prices ◽  
Stock Price ◽  
State Ownership ◽  
Positive Relation ◽  
Significant Relation ◽  
Goodwill Impairment ◽  
Abundant Evidence ◽  
Future Expectation ◽  
The Impact

There is a large amount of goodwill recognition and goodwill impairment. These characteristics would trigger stock price fluctuation. Hence, stakeholders will increase holdings to mitigate the volatility of stock prices. According to the data in regard to the Chinese A-share nonfinancial listed companies from 2007 to 2020, we study the reaction of block shareholders after goodwill recognition and goodwill impairment, respectively. Our findings are as follows: (1) goodwill recognition leads to increasing holdings of block shareholders; (2) goodwill impairment also leads to increasing holdings of block shareholders when there is a large amount of goodwill impairment. We also take state ownership into consideration: compared to state-owned firms, private firms show a much stronger positive relation between goodwill recognition and level of increasing holdings of block shareholders, but there is no significant relation between goodwill impairment and increasing holdings of block shareholders in state-owned firms. These empirical results provide us with abundant evidence that block shareholders would increase shareholdings when there is goodwill recognition due to private information of positive future expectation in M&A. Meanwhile, block shareholders would stabilize stock price via increasing shareholdings when goodwill is impaired.

scholarly journals COVID-19 and The Impact of Climatic Parameters: A Case Study of Bangladesh

2021 ◽  
Author(s):  
Rehana Parvin
Keyword(s):  
Wind Speed ◽  
Correlation Coefficient ◽  
Climatic Factors ◽  
Climatic Variables ◽  
Series Data ◽  
Climatic Parameters ◽  
Pm 2.5 ◽  
Lagged Effects ◽  
The Impact ◽  
The Relationship

Abstract This study examines the relationship between climatic factors and the prevalence of COVID-19 in Bangladesh. Pearson correlation coefficient, Spearman correlation coefficient, and Kendall's correlation coefficient have all been put to use to assess the intensity and direction of the relationship between climatic factors and COVID-19. The lagged effects of climatic parameters on COVID-19 daily-confirmed cases from Bangladesh are being looked into using the Auto Regressive Distributed Lag (ARDL) model. As a result, two non-climatic variables, such as population density and the human development index, are taken into account as control variables. As climatic variables, average temperature (°C), average humidity (percent), average PM 2.5, and average wind speed (km/h) were well chosen. The time series data used in this analysis was from May 1, 2020 to April 14, 2021. The findings of correlation analysis indicate that there is an important, significant, and positive relationship between COVID-19 widespread and temperature (°C), humidity (percent), and wind speed (km/h), whereas there is a negative, weak, and significant relationship between PM 2.5 and COVID-19 widespread. In addition, the ARDL findings suggested that temperature (°C), PM 2.5, and wind speed (km/h) have major lagged effects on COVID-19 in Bangladesh, while humidity (percent) has negligible lagged effects. For policymakers and investors alike, the consequences of this study are important in Bangladesh.

scholarly journals Wpływ warunków meteorologicznych na zachorowalność na grypę w wybranych polskich miastach = Impact of meteorological conditions on influenza morbidity in the selected Polish cities

2021 ◽  
Vol 93 (1) ◽  
pp. 103-122
Author(s):  
Katarzyna Lindner-Cendrowska
Keyword(s):  
Wind Speed ◽  
Negative Binomial ◽  
Climatic Factors ◽  
Age Groups ◽  
Absolute Humidity ◽  
Weather Conditions ◽  
Adverse Weather ◽  
Strong Negative Association ◽  
Lag Model ◽  
The Impact

This study was designed to explore the impact of meteorological factors (air temperature, relative and absolute humidity, wind, cloudiness and precipitation) on influenza morbidity in four selected big cities in Poland – Cracow, Poznań, Warsaw and Wrocław. Atmospheric data obtained from four meteorological stations spread over six years (2013‑2018) were compared to influenza-like illnesses (ILI) reports, obtained from the Voivodship Units of the State Sanitary Inspection for the same locations and period. Data were analysed using Spearman correlation and negative binomial regressions to capture the nonlinear relationship between exposure to environmental conditions and influenza morbidity. Our study found a strong negative association of absolute air humidity with influenza infections (RR = 0.738) and positive relationship with minimal temperature (RR = 1.148). The effect of wind speed, cloudiness and precipitation on ILI was less evident. Proposed model is valid for all age groups in Polish cities, but suits the best to elderly citizens (65+). The model is also appropriate for different seasons, however only absolute humidity, minimal temperature and wind speed are considered significant variables all year round. Furthermore, we observed 6 to 9-days delay between particular adverse weather conditions and ILI morbidity increase, as 1-week lag model proved to have the highest predictive power (AIC = 8644.97). Although meteorological variables have statistically significant contribution to explain influenza morbidity, there are also other non-climatic factors, that can possibly influence the seasonality and complexity of influenza epidemiology in Polish cities.

scholarly journals Effects of knowledge articulation and self-reflection on team performance

2018 ◽  
pp. 177-195
Keyword(s):  
Multiple Regression ◽  
Team Performance ◽  
The Other ◽  
Positive Relation ◽  
Negative Relation ◽  
Self Reflection ◽  
Individual Knowledge ◽  
Knowledge Articulation ◽  
The Individual ◽  
The Impact

The objective for this study is to investigate the impact of knowledge externalization on team performance by the study of knowledge articulation and self-reflection. Multiple regression is applied for analysis of the data collected from 401 participants. The findings designate the significant positive relation between knowledge articulation and team performance. On the other hand, self-reflection is found to have negative relation with team performance. The findings also designate interaction between individual knowledge articulation and self-reflection on team performance. An individual’s knowledge articulation is found to be more effective on team performance when the individual has high self-reflection. However, the effectiveness of an individual’s knowledge articulation on team performance is prone to be less when that individual has low self-reflection.

scholarly journals Weather Factors Associated with Reduced Risk of Dengue Transmission in an Urbanized Tropical City

2021 ◽  
Vol 19 (1) ◽  
pp. 339
Author(s):  
Hao Gui ◽  
Sylvia Gwee ◽  
Jiayun Koh ◽  
Junxiong Pang
Keyword(s):  
Wind Speed ◽  
Minimum Temperature ◽  
Climatic Factors ◽  
Arima Model ◽  
Positive Association ◽  
Maximum Temperature ◽  
Weather Factors ◽  
Dengue Transmission ◽  
Non Linear ◽  
The Impact

This study assessed the impact of weather factors, including novel predictors—pollutant standards index (PSI) and wind speed—on dengue incidence in Singapore between 2012 and 2019. Autoregressive integrated moving average (ARIMA) model was fitted to explore the autocorrelation in time series and quasi-Poisson model with a distributed lag non-linear term (DLNM) was set up to assess any non-linear association between climatic factors and dengue incidence. In DLNM, a PSI level of up to 111 was positively associated with dengue incidence; incidence reduced as PSI level increased to 160. A slight rainfall increase of up to 7 mm per week gave rise to higher dengue risk. On the contrary, heavier rainfall was protective against dengue. An increase in mean temperature under around 28.0 °C corresponded with increased dengue cases whereas the association became negative beyond 28.0 °C; the minimum temperature was significantly positively associated with dengue incidence at around 23–25 °C, and the relationship reversed when temperature exceed 27 °C. An overall positive association, albeit insignificant, was observed between maximum temperature and dengue incidence. Wind speed was associated with decreasing relative risk (RR). Beyond prevailing conclusions on temperature, this study observed that extremely poor air quality, high wind speed, minimum temperature ≥27 °C, and rainfall volume beyond 12 mm per week reduced the risk of dengue transmission in an urbanized tropical environment.

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