INFLUENCE OF THE METEOROLOGICAL CONDITIONS ON FOREST FIRES OCCURRENCES IN LICHINGA DISTRICT, NORTHERN MOZAMBIQUE

AbstractThe aim of this study was to assess the influence of meteorological conditions on the fire occurrences in forest stands of Lichinga district, in the period from 2010 to 2012. Data about fire occurrences records of the district of Lichinga and two others close districts (Lago and Sanga) were provided by the Center for Monitoring and Control of Forest Fires (CCMIF) of the company Chikweti. Daily weather data: temperature, rainfall and relative humidity of the same period, recorded at 13:00 PM, by the meteorological station of the Institute of Agronomic Research of Mozambique (IIAM) in Lichinga district were also provided to this work. Meteorological data were submitted to regression analysis and Tukey test. The results showed a significant variation in temperature and humidity on both tests. The overlapping of fire occurrences and meteorological variables, suggested a great influence of the meteorological conditions in the occurrence of fires, mainly due to the very long dry periods. In 2010 there was a delay in the occurrence of fires; this was related to the rainy season which was slightly longer. September and October was the months that recorded the highest number of fire occurrences throughout the studied period.ResumoInfluência das condições meteorológicas na ocorrência dos incêndios florestais no distrito de Lichinga, norte de Moçambique. O objetivo deste estudo foi avaliar a influência das variáveis meteorológicas na ocorrência de incêndios em povoamentos florestais no distrito de Lichinga, no período de 2010 a 2012. Para tal, foram analisados os registros de ocorrências de incêndios do distrito de Lichinga e de outros dois distritos vizinhos (Lago e Sanga), disponibilizados pelo Centro de Controle e Monitoramento de Incêndios Florestais (CCMIF) da empresa Chikweti Forest of Niassa, e dados meteorológicos diários de temperatura (máxima e mínima), precipitação e umidade relativa, do mesmo período, registrados às 13 horas, pela estação meteorológica do Instituto de Investigação Agronômica de Moçambique em Lichinga (IIAM-Lichinga). Os dados meteorológicos foram submetidos ao teste de análise de regressão e ao teste de Tukey, tendo sido observado uma variação significativa da temperatura e umidade em ambos os testes. A sobreposição das ocorrências dos incêndios com as variáveis meteorológicas demostrou uma grande influênca dessas variáveis na ocorrência dos incêndios, principalmente devido aos períodos secos prolongados. No ano 2010 observou-se um atraso na ocorrência dos incêndios, devido ao período chuvoso que foi ligeiramente mais longo. Os meses que registraram maior número de ocorrências em todo o período foram setembro e outubro.Palavras-chave: Povoamentos florestais; variáveis meteorológicas; prevenção de incêndios florestais.

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On the comparative importance of fire danger rating indices and their integration with spatial and temporal variables for predicting daily human-caused fire occurrences in Spain

International Journal of Wildland Fire ◽

10.1071/wf09139 ◽

2011 ◽

Vol 20 (1) ◽

pp. 46 ◽

Cited By ~ 83

Author(s):

M. Padilla ◽

C. Vega-García

Keyword(s):

Forest Fires ◽

Fire Danger ◽

Weather Data ◽

Geographic Factors ◽

Explanatory Variables ◽

Total Percentage ◽

Forest Fire Management ◽

Mediterranean Countries ◽

Daily Weather Data ◽

Fire Loads

Human-caused forest fires are common in Mediterranean countries. Forest fire management agencies customarily estimate daily fire loads by using meteorological fire danger rating indices, based on variables registered daily by weather stations. This paper is focussed on the evaluation of the relative performance of a comprehensive set of commonly used fire weather indices by developing holistic daily fire occurrence models in Spain involving also other topographic, fuel and human-related geographic factors. The data consisted of historical records of daily fire occurrences, daily weather data and geographic characteristics for the peninsular territory of Spain in a 10-km-spatial resolution grid, for the period from 2002 to 2005. The prediction units were 10 × 10-km-grid cells but in order to take into account the spatial variation in relationships between explanatory variables and historical occurrences, Spain was divided into 53 ecoregions and a logistic regression model was developed for each one of these regions. The explanatory variables included in the models illustrated which weather and geographic factors primarily affected daily human-caused fires in the ecoregions. The validation of the estimated ignition probabilities with the fire occurrences registered during 2005, reserved for independently testing the model’s predictive capability, resulted in values of total percentage correctly predicted varying from 47.4 to 82.6%.

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Atmospheric humidity is unlikely to serve as an important water source for crustose soil lichens in the Tabernas Desert

Journal of Hydrology and Hydromechanics ◽

10.2478/johh-2020-0034 ◽

2020 ◽

Vol 68 (4) ◽

pp. 359-367

Author(s):

Giora J. Kidron ◽

Rafael Kronenfeld

Keyword(s):

Meteorological Data ◽

Soil Surface ◽

Net Photosynthesis ◽

Water Source ◽

Vapor Condensation ◽

Meteorological Conditions ◽

Meteorological Station ◽

Atmospheric Humidity ◽

Dew Formation ◽

Crustose Lichens

AbstractDew is commonly regarded as an important water source for lichens. This is also the case for crustose lichens that are attached to the substrate, whether rocks or soil. While being verified during ample research on rock-dwelling lichens in the Negev, the findings from soil-dwelling lichens (lichen biocrusts) are not conclusive. In the Tabernas Desert, the soil surface is characterized by a lush cover of crustose lichens. These soil biocrusts (biological soil crusts) were reported to use dew for photosynthesis while, at the same time, it was also observed that these crustose chlorolichens are relatively non-wettable. In an attempt to explore the apparent controversy, two year-long meteorological data (minimum air temperature and relative humidity, RH), during which chlorolichens were thought to utilize dew for photosynthesis (2006–2007) were analyzed. The analysis includes a comparison to the meteorological conditions that prevailed in the Negev during 135 days of manual dew measurements. As found for the Negev, net photosynthesis by the chlorolichens is expected once the RH, as measured at the meteorological station, is ≥90% while vapor condensation (dew) is expected once RH is ≥95%. RH in the Negev was substantially higher than the average RH of 75.0–87.2% registered during the rainless days of 2006–2007 in the Tabernas, implying that RH in the Tabernas is too low to facilitate frequent dew formation and net photosynthesis by the lichens. Photosynthesis in the Tabernas is mainly confined to rainy periods, taking place either due to direct wetting by rain, or following vapor condensation from the subsurface (distillation). Our findings do not support the view that dew is an important water source for the establishment and growth of crustose soil lichens in the Tabernas. Moreover, the low RH in the Tabernas may also imply that dew may only have a very limited role in providing water to lithobionts in this ecosystem.

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A SYSTEM FOR MONITORING AND CONTROL THE HYDROMETEOROLOGICAL PARAMETERS VIA GSM/GPRS/EGDE NETWORK

Science and Technology Development Journal ◽

10.32508/stdj.v15i1.1777 ◽

2012 ◽

Vol 15 (1) ◽

pp. 75-79

Author(s):

Lam Huynh Phan ◽

Ha Thi Thu Thai

Keyword(s):

Meteorological Data ◽

Monitoring And Control ◽

Control Information ◽

Hydrometeorological Parameters ◽

And Control

This article refers to the supervision and control information and data remotely over the GSM, GPRS, EDGE. The goal of surveillance is to gather meteorological data, to aggregate assessment.

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Feasibility of Different Weather Data Sources Applied to Building Indoor Temperature Estimation Using LSTM Neural Networks

Sustainability ◽

10.3390/su132413735 ◽

2021 ◽

Vol 13 (24) ◽

pp. 13735

Author(s):

Martín Pensado-Mariño ◽

Lara Febrero-Garrido ◽

Pablo Eguía-Oller ◽

Enrique Granada-Álvarez

Keyword(s):

Meteorological Data ◽

Energy Performance ◽

Meteorological Station ◽

Data Sources ◽

Weather Data ◽

Learning Models ◽

Indoor Temperature ◽

Temperature Estimation ◽

The Third ◽

Machine Learning Models

The use of Machine Learning models is becoming increasingly widespread to assess energy performance of a building. In these models, the accuracy of the results depends largely on outdoor conditions. However, getting these data on-site is not always feasible. This article compares the temperature results obtained for an LSTM neural network model, using four types of meteorological data sources. The first is the monitoring carried out in the building; the second is a meteorological station near the site of the building; the third is a table of meteorological data obtained through a kriging process and the fourth is a dataset obtained using GFS. The results are analyzed using the CV(RSME) and NMBE indices. Based on these indices, in the four series, a CV(RSME) slightly higher than 3% is obtained, while the NMBE is below 1%, so it can be deduced that the sources used are interchangeable.

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Relative importance of weather and climate on wildfire growth in interior Alaska

International Journal of Wildland Fire ◽

10.1071/wf10046 ◽

2011 ◽

Vol 20 (4) ◽

pp. 479 ◽

Cited By ~ 46

Author(s):

John T. Abatzoglou ◽

Crystal A. Kolden

Keyword(s):

Meteorological Data ◽

Weather Data ◽

Fire Growth ◽

Fire Size ◽

Daily Weather Data ◽

Weather And Climate ◽

Dry Conditions ◽

Large Fires ◽

In Fire

Efforts to quantify relationships between climate and wildfire in Alaska have not yet explored the role of higher-frequency meteorological conditions on individual wildfire ignition and growth. To address this gap, meteorological data for 665 large fires that burned across the Alaskan interior between 1980 and 2007 were assessed to determine the respective influence of higher-frequency weather and lower-frequency climate, in terms of both antecedent and post-ignition conditions on fire growth. Antecedent climate exhibited no discernable influence on eventual fire size. In contrast, fire size was sensitive to weather in the days to weeks following ignition, particularly the post-ignition timing of precipitation. Prolonged periods of warm and dry conditions coincident with blocking that persists for several weeks after ignition enabled growth of large wildfires, whereas the return of wetting precipitation generally within a week after ignition inhibited growth of smaller wildfires. These results suggest that daily weather data are a critical predictor of fire growth and large fire potential and encourage their use in fire management and modelling.

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Correlations and Hierarchical Clustering investigation between weather and SARS-CoV-2.

Recent Advances in Computer Science and Communications ◽

10.2174/2666255813999201109201006 ◽

2020 ◽

Vol 13 ◽

Author(s):

Kaoutar El handri ◽

Abdellah Idrissi

Keyword(s):

Meteorological Data ◽

Rank Correlation ◽

Economic Capital ◽

Weather Data ◽

Maximum Temperature ◽

Weather Factors ◽

Primary Analysis ◽

Mean Temperature ◽

Kendall Rank Correlation ◽

And Control

Background:: Humanity today faces a global emergency. It is conceivably the greatest crisis of our generation. The coronavirus pandemic, which has many global implications, has led researchers worldwide to seek solutions to this crisis, including the search for effective treatment in the first place. Objective:: This study aims to identify the factors that can have an essential effect on COVID-19 comportment. Having proper management and control of imports of COVID-19 depends on many factors that are highly dependent on a country's sanitary capacity and infrastructure technology. Nevertheless, meteorological parameters can also be a connecting factor to this disease; seines temperature and humidity are compatible with the behavior of a seasonal respiratory virus. Methods:: In this work, we analyze the correlation between weather and the COVID-19 epidemic in Casablanca, the economic capital of Morocco. It is based on the primary analysis of COVID-19 surveillance data from the Ministry of Health of the Kingdom of Morocco and weather data from the meteorological data. Weather factors include minimum temperature (°C), maximum temperature (°C), mean temperature (°C), maximum wind speed (Km/h), humidity (%), and rainfall (mm). The Spearman and Kendall rank correlation test is used for data analysis. Between the weather components. Results:: The mean temperature, maximum temperature (°C) and Humidity were significantly correlated with the COVID-19 pandemic with respectively (r= -0.432, r = -0.480; r=0.402, and p=- 0.212, p= -0.160, and p= &-0.240). Conclusion:: This discovery helps reduce the incidence rate of COVID-19 in Morocco, considering the significant correlation between weather and COVID-19, of about more than 40%.

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Importance of the Use of the Internet of Things and its Implications in the Manufacturing Industry

European Scientific Journal ESJ ◽

10.19044/esj.2018.v14n10p378 ◽

2018 ◽

Vol 14 (10) ◽

pp. 378

Author(s):

Laura Contreras ◽

Juan Perez

Keyword(s):

Internet Of Things ◽

Data Privacy ◽

Manufacturing Industry ◽

Manufacturing Sector ◽

Great Influence ◽

Literary Analysis ◽

Monitoring And Control ◽

Productivity Improvement ◽

Use Of The Internet ◽

And Control

The research presented in this paper is a literary analysis of 91 papers of 31 different journals of world recognition from different countries (England, Poland, Spain, China, Switzerland, Netherlands); focusing on productivity improvement inside a business through Internet of Things (IoT) in the manufacturing industry. It is essential to know the implications in the use of IoT for productivity improvement because IoT is having great influence in different context, one of them is businesses. The objective of this paper is to know the implications of the use of IoT to increase productivity, focusing on security and data privacy in the manufacturing sector. Suggestions are made regarding big data, digital manufacturing, the supply chain, cybersecurity, and monitoring and control systems for implementing IoT to improve productivity in a manufacturing industry. The use of new tools and technologies for improving productivity imply that the detailed aspects for its implementation must be analyze.

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Computers for data, control and simulation

Proceedings, annual meeting, Electron Microscopy Society of America ◽

10.1017/s0424820100106661 ◽

1988 ◽

Vol 46 ◽

pp. 920-921

Author(s):

David C. Joy

Keyword(s):

Personal Computers ◽

Monitoring And Control ◽

Data Logging ◽

Data Logger ◽

Operational Conditions ◽

Data Control ◽

The Many ◽

And Control

Personal computers (PCs) are a powerful resource in the EM Laboratory, both as a means of automating the monitoring and control of microscopes, and as a tool for quantifying the interpretation of data. Not only is a PC more versatile than a piece of dedicated data logging equipment, but it is also substantially cheaper. In this tutorial the practical principles of using a PC for these types of activities will be discussed.The PC can form the basis of a system to measure, display, record and store the many parameters which characterize the operational conditions of the EM. In this mode it is operating as a data logger. The necessary first step is to find a suitable source from which to measure each of the items of interest. It is usually possible to do this without having to make permanent corrections or modifications to the EM.

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