Tiga Neya, Galine Yanon, M. B. Sylla, O. Neya, Julien W. SAWADOGO
Transport sector is cited among the key emitted sector. In Burkina Faso, road transport occupies more than 60% of the emissions of the entire transport sector. However, there is no model equation for greenhouse gases modelling in transport sector. A methodology combining literature review and survey has been adopted to develop the simplified model equation in transport sector. The vehicle type survey allowed the identification of the type of vehicle and the literature review allowed the identification of the key parameters used for greenhouses gases modelling. The results revealed 10 vehicle types for road transport in Burkina Faso such as: Private cars, Public Transport/Buses, Special Vehicle (Ambulances, Fire bus, Funeral vehicles), other vehicle, Motorcycles, Wheeler, Rail, Van, Lorries and Truck Tractor. The keys parameters for greenhouse gases modelling are Fleet availability, Average annual distance travelled, Fuel Economy and Fuel emission factor. For all vehicle type identified simplified model equation was developed to support Burkina Faso, assessing greenhouse gases emission in the sector of transport. This approach could be replicated in other countries in the sub-Saharan Region.
{"title":"Simplified Equation Models for Greenhouses Gases Assessment in Road Transport Sector in Burkina Faso","authors":"Tiga Neya, Galine Yanon, M. B. Sylla, O. Neya, Julien W. SAWADOGO","doi":"10.30564/jasr.v4i4.3758","DOIUrl":"https://doi.org/10.30564/jasr.v4i4.3758","url":null,"abstract":"Transport sector is cited among the key emitted sector. In Burkina Faso, road transport occupies more than 60% of the emissions of the entire transport sector. However, there is no model equation for greenhouse gases modelling in transport sector. A methodology combining literature review and survey has been adopted to develop the simplified model equation in transport sector. The vehicle type survey allowed the identification of the type of vehicle and the literature review allowed the identification of the key parameters used for greenhouses gases modelling. The results revealed 10 vehicle types for road transport in Burkina Faso such as: Private cars, Public Transport/Buses, Special Vehicle (Ambulances, Fire bus, Funeral vehicles), other vehicle, Motorcycles, Wheeler, Rail, Van, Lorries and Truck Tractor. The keys parameters for greenhouse gases modelling are Fleet availability, Average annual distance travelled, Fuel Economy and Fuel emission factor. For all vehicle type identified simplified model equation was developed to support Burkina Faso, assessing greenhouse gases emission in the sector of transport. This approach could be replicated in other countries in the sub-Saharan Region.","PeriodicalId":193824,"journal":{"name":"Journal of Atmospheric Science Research","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114222439","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Using the 2015-2018 Hangzhou city PM2.5, PM10, SO2, CO, NO2 and O3 mass concentration data, ERA5 reanalysis data and ground observation data, through the PCT classification method, the objective analysis of the winter air pollution weather situation in Hangzhou was obtained. The results showed that the winter air quality concentration in Hangzhou continued to be high from 2015 to 2018, and the air pollution was the most significant. Through objective classification, it is concluded that the main weather conditions affecting the region in winter are divided into 6 types, namely high pressure control, high pressure bottom control equalizing field, L-shaped high pressure control, high pressure front control equalizing field, low pressure control, low pressure front control Equalizing field. Among them, when high pressure control, high pressure bottom control equalizing field, L high pressure control, low pressure control are affected by local sources, the impact of external sources has a greater impact on the air quality in Hangzhou, and air pollution is prone to occur; before low pressure When the pressure equalization field is controlled by the Ministry and the pressure equalization field is controlled by the high pressure front, the local wind and precipitation in Hangzhou are relatively high, which is not conducive to the accumulation of air pollutants. The probability of occurrence of air pollution is small, and air pollution is not easy to occur.
{"title":"Objective Synoptic Weather Classification on Air Pollution during Winter Seasons in Hangzhou","authors":"Jiaqi Zhao, Chenggang Wang","doi":"10.30564/JASR.V4I3.3256","DOIUrl":"https://doi.org/10.30564/JASR.V4I3.3256","url":null,"abstract":"Using the 2015-2018 Hangzhou city PM2.5, PM10, SO2, CO, NO2 and O3 mass concentration data, ERA5 reanalysis data and ground observation data, through the PCT classification method, the objective analysis of the winter air pollution weather situation in Hangzhou was obtained. The results showed that the winter air quality concentration in Hangzhou continued to be high from 2015 to 2018, and the air pollution was the most significant. Through objective classification, it is concluded that the main weather conditions affecting the region in winter are divided into 6 types, namely high pressure control, high pressure bottom control equalizing field, L-shaped high pressure control, high pressure front control equalizing field, low pressure control, low pressure front control Equalizing field. Among them, when high pressure control, high pressure bottom control equalizing field, L high pressure control, low pressure control are affected by local sources, the impact of external sources has a greater impact on the air quality in Hangzhou, and air pollution is prone to occur; before low pressure When the pressure equalization field is controlled by the Ministry and the pressure equalization field is controlled by the high pressure front, the local wind and precipitation in Hangzhou are relatively high, which is not conducive to the accumulation of air pollutants. The probability of occurrence of air pollution is small, and air pollution is not easy to occur.","PeriodicalId":193824,"journal":{"name":"Journal of Atmospheric Science Research","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121972889","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ping Wang, C. Han, Youzhi Zhao, Wenci Ding, Zengzeng Li
Numbers of real-time data (E-BAM) of PM2.5 were collected in the period from Jan 8th 2012 to Jan 1st 2013 at the laboratory of Tropical Ocean University (Sanya, China). The average mass concentration was 19.7 μg/m³. The highest 40.5 μg/m³ in October compared to the lowest 14.1 μg/m³ in July. From a seasonal perspective, the average PM2.5 mass concentration in fall and winter are relatively higher than that in both spring and summer. On the basis of satellite map of fire points and backward trajectories of the air masses, we primarily deduced that the PM2.5 in Sanya may be caused by the biomass burning and industrial pollutants from the area of Pearl River Delta of China and the Indo-China peninsula (e.g. Vietnam, Laos).
{"title":"Characterization of PM2.5 Mass Concentration in the Onshore of Sanya, China","authors":"Ping Wang, C. Han, Youzhi Zhao, Wenci Ding, Zengzeng Li","doi":"10.30564/jasr.v3i2.2134","DOIUrl":"https://doi.org/10.30564/jasr.v3i2.2134","url":null,"abstract":"Numbers of real-time data (E-BAM) of PM2.5 were collected in the period from Jan 8th 2012 to Jan 1st 2013 at the laboratory of Tropical Ocean University (Sanya, China). The average mass concentration was 19.7 μg/m³. The highest 40.5 μg/m³ in October compared to the lowest 14.1 μg/m³ in July. From a seasonal perspective, the average PM2.5 mass concentration in fall and winter are relatively higher than that in both spring and summer. On the basis of satellite map of fire points and backward trajectories of the air masses, we primarily deduced that the PM2.5 in Sanya may be caused by the biomass burning and industrial pollutants from the area of Pearl River Delta of China and the Indo-China peninsula (e.g. Vietnam, Laos).","PeriodicalId":193824,"journal":{"name":"Journal of Atmospheric Science Research","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126238750","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This study summarises the findings from a study investigating rural small-holding farmers’ experiences on the shift from food crop to cashew in the forest/savanna transitional agro-ecological zone of Ghana and its impact on rural food security. Using a mix method approach, the study sampled the views of 400 farmers from 9 farming communities in the Wenchi Municipality of Ghana via questionnaire and semi-structured interview and collated statistical data on crop production to trace the nexus between climate change, agrarian land-use decisions and food security. The study found evidence of increasing shift from food crop to cashew production. This was evidenced by increasing cashew cultivation and cashew output and decreasing total land acreage for food crops and increasing food insecurity of farmers. The findings revealed that about 71% of farmers had expanded their cashew farms and another 41.0% have turned their food crops’ lands to cashew production. Besides cashew production, (57.0%) has overtaken the traditional food crop -maize (25.5%) production in terms of output. Instructively, the study found that the main motivation for the shift from food crop to cashew production is not only to maximise income in bulk, but also climate change adaptability issues. The study found that the cashew crop is resilient in adapting to the changing climate and less prone to pests’ invasion compared to maize in the study District. The study found that food security among rural folks had been seriously compromised by the conversion of farmlands from food crop to cashew farming. Although, the study found that female farmers have higher consciousness to food security yet less motivated to shift from food crop to cashew crop production compared to men. Worryingly, females are the hardest hit group because of their low ownership of or access to farmlands and low voices of women in farmland use decision making in a men-dominant rural extended family setting of the study District. The study concludes that climate change adaptability concern has introduced a new set of risks including crop failure due to changing rainfall pattern and increasing incidence of pest invasions forcing the rural folks to compromise innovative indigenous farming focus and practices that have helped them to navigate extreme food poverty. This study, therefore, argues for improved food crop seeds tailored to the specific climatic context and innovative farming practices that beef-up small-holding farmers’ capacity to navigate climate change to continually produce food crop to ensure rural food security and sustainability.
{"title":"Understanding the Nexus between Climate Change, the Shift in Land Use toward Cashew Production and Rural Food Security in Ghana; the Experiences of Farmers in the Transition Zone of Ghana","authors":"Victor Adjei, M. Anlimachie","doi":"10.30564/jasr.v3i2.2010","DOIUrl":"https://doi.org/10.30564/jasr.v3i2.2010","url":null,"abstract":"This study summarises the findings from a study investigating rural small-holding farmers’ experiences on the shift from food crop to cashew in the forest/savanna transitional agro-ecological zone of Ghana and its impact on rural food security. Using a mix method approach, the study sampled the views of 400 farmers from 9 farming communities in the Wenchi Municipality of Ghana via questionnaire and semi-structured interview and collated statistical data on crop production to trace the nexus between climate change, agrarian land-use decisions and food security. The study found evidence of increasing shift from food crop to cashew production. This was evidenced by increasing cashew cultivation and cashew output and decreasing total land acreage for food crops and increasing food insecurity of farmers. The findings revealed that about 71% of farmers had expanded their cashew farms and another 41.0% have turned their food crops’ lands to cashew production. Besides cashew production, (57.0%) has overtaken the traditional food crop -maize (25.5%) production in terms of output. Instructively, the study found that the main motivation for the shift from food crop to cashew production is not only to maximise income in bulk, but also climate change adaptability issues. The study found that the cashew crop is resilient in adapting to the changing climate and less prone to pests’ invasion compared to maize in the study District. The study found that food security among rural folks had been seriously compromised by the conversion of farmlands from food crop to cashew farming. Although, the study found that female farmers have higher consciousness to food security yet less motivated to shift from food crop to cashew crop production compared to men. Worryingly, females are the hardest hit group because of their low ownership of or access to farmlands and low voices of women in farmland use decision making in a men-dominant rural extended family setting of the study District. The study concludes that climate change adaptability concern has introduced a new set of risks including crop failure due to changing rainfall pattern and increasing incidence of pest invasions forcing the rural folks to compromise innovative indigenous farming focus and practices that have helped them to navigate extreme food poverty. This study, therefore, argues for improved food crop seeds tailored to the specific climatic context and innovative farming practices that beef-up small-holding farmers’ capacity to navigate climate change to continually produce food crop to ensure rural food security and sustainability.","PeriodicalId":193824,"journal":{"name":"Journal of Atmospheric Science Research","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127814332","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This study assessed the pattern of planetary layer lapse rate across the major climate belts of Nigeria. Six years’ data (2010-2015) for air temperature values between 1000 mbar and 850 mbar atmospheric pressure levels were acquired from Era-Interim Re-analysis data centre. The data was retrieved at 6-hourly synoptic hours: 0000H, 0600H, 1200H and 1800H at 0.125o grid resolution. Results showed that the lower tropospheric layers throughout the various climate belts has a positive lapse rate. Findings also revealed that the average annual lapse rate condition were: Tropical wet zone (Port Harcourt) -5.6 oC/km; Bi-modal Tropical continental zone (Enugu) 5.8 oC/km; Montane zone (Jos) -6.5 oC/km; Mono-modal Tropical continental zone (Kano) -6.6 oC/km; and Hot semi-arid zone (Maiduguri) -6.6 oC/km. This average values presents the lapse rates to be close to the Saturated Adiabatic Lapse Rate (SALR). Average diurnal results for the climate belts showed that lapse rate is higher during the afternoon and transition periods than the rest periods and increases from the coastal areas northward. The seasonal periods of highest lapse rates during the day time are from December – May (i.e. 5.8-9.5 oC/km) with slight decrease from June – November. The positive lapse rate of range -1.8 – -5.9 oC/km observed during the period of dawn across the entire region showed that infrared radiation was still being released and modified by less energetic mechanical turbulence that characterizes the surface layer across Nigeria. This also indicates that global warming is real and in substantial effect. The study findings imply that conditional instability prevailed over the entire region, therefore, the planetary layer environment will be of slow to moderate dispersive potential and will require forceful mechanism to lift emissions are introduced into it. It is recommended that industrial stacks are above 50 m to enhance the dispersion of emissions aloft.
{"title":"Planetary Layer Lapse Rate Comparison of Tropical,Montane and hot Semi-Arid Climates of Nigeria","authors":"D. Edokpa, P. Ede","doi":"10.30564/jasr.v3i2.2005","DOIUrl":"https://doi.org/10.30564/jasr.v3i2.2005","url":null,"abstract":"This study assessed the pattern of planetary layer lapse rate across the major climate belts of Nigeria. Six years’ data (2010-2015) for air temperature values between 1000 mbar and 850 mbar atmospheric pressure levels were acquired from Era-Interim Re-analysis data centre. The data was retrieved at 6-hourly synoptic hours: 0000H, 0600H, 1200H and 1800H at 0.125o grid resolution. Results showed that the lower tropospheric layers throughout the various climate belts has a positive lapse rate. Findings also revealed that the average annual lapse rate condition were: Tropical wet zone (Port Harcourt) -5.6 oC/km; Bi-modal Tropical continental zone (Enugu) 5.8 oC/km; Montane zone (Jos) -6.5 oC/km; Mono-modal Tropical continental zone (Kano) -6.6 oC/km; and Hot semi-arid zone (Maiduguri) -6.6 oC/km. This average values presents the lapse rates to be close to the Saturated Adiabatic Lapse Rate (SALR). Average diurnal results for the climate belts showed that lapse rate is higher during the afternoon and transition periods than the rest periods and increases from the coastal areas northward. The seasonal periods of highest lapse rates during the day time are from December – May (i.e. 5.8-9.5 oC/km) with slight decrease from June – November. The positive lapse rate of range -1.8 – -5.9 oC/km observed during the period of dawn across the entire region showed that infrared radiation was still being released and modified by less energetic mechanical turbulence that characterizes the surface layer across Nigeria. This also indicates that global warming is real and in substantial effect. The study findings imply that conditional instability prevailed over the entire region, therefore, the planetary layer environment will be of slow to moderate dispersive potential and will require forceful mechanism to lift emissions are introduced into it. It is recommended that industrial stacks are above 50 m to enhance the dispersion of emissions aloft.","PeriodicalId":193824,"journal":{"name":"Journal of Atmospheric Science Research","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115566314","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
V. Tarasenko, D. Beloplotov, A. Burachenko, E. Baksht
The conditions for the formation of spark channels with a bead structure in an inhomogeneous electric field at different polarities of voltage pulses are studied. Voltage pulses with an amplitude of up to 150 kV and a rise time of ≈1.5 µs were applied across a 45-mm point-to-plane gap. Under these conditions, spark channels consisting of bright and dim regions (bead structure) were observed. It is shown that when current is limited, an increase in the rise time and the gap length does not affect the formation of the bead structure. It was found that an increase in the amplitude of voltage pulses leads to an increase in the length of beads. The appearance of the bead structure is more likely at negative polarity of the pointed electrode. The formation of spark channels was studied with a four-channel ICCD camera.
{"title":"On the formation of a bead structure of spark channels during a discharge in air at atmospheric pressure","authors":"V. Tarasenko, D. Beloplotov, A. Burachenko, E. Baksht","doi":"10.30564/jasr.v3i1.1858","DOIUrl":"https://doi.org/10.30564/jasr.v3i1.1858","url":null,"abstract":"The conditions for the formation of spark channels with a bead structure in an inhomogeneous electric field at different polarities of voltage pulses are studied. Voltage pulses with an amplitude of up to 150 kV and a rise time of ≈1.5 µs were applied across a 45-mm point-to-plane gap. Under these conditions, spark channels consisting of bright and dim regions (bead structure) were observed. It is shown that when current is limited, an increase in the rise time and the gap length does not affect the formation of the bead structure. It was found that an increase in the amplitude of voltage pulses leads to an increase in the length of beads. The appearance of the bead structure is more likely at negative polarity of the pointed electrode. The formation of spark channels was studied with a four-channel ICCD camera. ","PeriodicalId":193824,"journal":{"name":"Journal of Atmospheric Science Research","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126477909","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Observed rainfall is a very essential parameter for the analysis of rainfall, day to day weather forecast and its validation. The observed rainfall data is only available from five observatories of IMD; while no rainfall data is available at various important locations in and around Delhi-NCR. However, the 24-hour rainfall data observed by Doppler Weather Radar (DWR) for entire Delhi and surrounding region (up to 150 km) is readily available in a pictorial form. In this paper, efforts have been made to derive/estimate the rainfall at desired locations using DWR hydrological products. Firstly, the rainfall at desired locations has been estimated from the precipitation accumulation product (PAC) of the DWR using image processing in Python language. After this, a linear regression model using the least square method has been developed in R language. Estimated and observed rainfall data of year 2018 (July, August and September) was used to train the model. After this, the model was tested on rainfall data of year 2019 (July, August and September) and validated.With the use of linear regression model, the error in mean rainfall estimation reduced by 46.58% and the error in max rainfall estimation reduced by 84.53% for the year 2019. The error in mean rainfall estimation reduced by 81.36% and the error in max rainfall estimation reduced by 33.81% for the year 2018. Thus, the rainfall can be estimated with a fair degree of accuracy at desired locations within the range of the Doppler Weather Radar using the radar rainfall products and the developed linear regression model.
{"title":"Rainfall estimation using Image Processing and Regression model on DWR Rainfall Product for Delhi-NCR Region","authors":"K. Srivastava, A. Nigam","doi":"10.30564/jasr.v3i1.1859","DOIUrl":"https://doi.org/10.30564/jasr.v3i1.1859","url":null,"abstract":"Observed rainfall is a very essential parameter for the analysis of rainfall, day to day weather forecast and its validation. The observed rainfall data is only available from five observatories of IMD; while no rainfall data is available at various important locations in and around Delhi-NCR. However, the 24-hour rainfall data observed by Doppler Weather Radar (DWR) for entire Delhi and surrounding region (up to 150 km) is readily available in a pictorial form. In this paper, efforts have been made to derive/estimate the rainfall at desired locations using DWR hydrological products. Firstly, the rainfall at desired locations has been estimated from the precipitation accumulation product (PAC) of the DWR using image processing in Python language. After this, a linear regression model using the least square method has been developed in R language. Estimated and observed rainfall data of year 2018 (July, August and September) was used to train the model. After this, the model was tested on rainfall data of year 2019 (July, August and September) and validated.With the use of linear regression model, the error in mean rainfall estimation reduced by 46.58% and the error in max rainfall estimation reduced by 84.53% for the year 2019. The error in mean rainfall estimation reduced by 81.36% and the error in max rainfall estimation reduced by 33.81% for the year 2018. Thus, the rainfall can be estimated with a fair degree of accuracy at desired locations within the range of the Doppler Weather Radar using the radar rainfall products and the developed linear regression model.","PeriodicalId":193824,"journal":{"name":"Journal of Atmospheric Science Research","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133272746","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The Greater Hinggan Forest was the world’s largest stand of evergreens, along the Black Dragon River (also known as Amur), which forms the border between Chinese Manchuria and Soviet Siberia. Black Dragon fire ranks as one of the worst environmental disasters of the 20th century and it burned about 18 million acres of conifer forest. In the 2nd week of May, 1987, we observe more than 10K rise in brightness temperature over a wide region in the China-Russia border. The weekly mean NDVI data shows the changes in greenness after the forest fire broke out. The NDVI value is positive with persistent greenness and vegetation in the Amur River valley, but from the 2nd week of May onwards the reddish patch appears to spread over the entire region, indicates the burned areas. In addition, we observe the impact of Black Dragon forest fire on tropospheric ozone concentration, aerosol index away from the location over North Pacific Ocean. A clear increase in atmospheric pollutants can be noticed after the forest fire event and the long range transports are confirmed with 72 hours NOAA HYSPLIT forward trajectory analysis.
大兴安岭是世界上最大的常青树林,位于中国满洲和苏联西伯利亚的边界——黑龙河(又称黑龙江)沿岸。黑龙大火是20世纪最严重的环境灾难之一,它烧毁了大约1800万英亩的针叶林。1987年5月第2周,我们观测到中俄边境大片地区的亮温上升超过10K。每周平均NDVI数据显示了森林火灾发生后的绿化变化。阿穆尔河流域的NDVI值为正,植被持续变绿,但从5月第2周开始,整个地区出现红色斑块,表明燃烧区域。此外,我们还观测了黑龙森林火灾对北太平洋上空对流层臭氧浓度、气溶胶指数的影响。森林火灾发生后,大气污染物明显增加,并通过72 h NOAA HYSPLIT前向轨迹分析确认了长距离输送。
{"title":"Identification of Black Dragon forest fire in Amur River Basin Using Satellite Borne NDVI Data and Its Impact on Long Range Transport of Pollutants: A Case Study","authors":"A. Nath, Reshmita Nath","doi":"10.30564/jasr.v2i3.1182","DOIUrl":"https://doi.org/10.30564/jasr.v2i3.1182","url":null,"abstract":"The Greater Hinggan Forest was the world’s largest stand of evergreens, along the Black Dragon River (also known as Amur), which forms the border between Chinese Manchuria and Soviet Siberia. Black Dragon fire ranks as one of the worst environmental disasters of the 20th century and it burned about 18 million acres of conifer forest. In the 2nd week of May, 1987, we observe more than 10K rise in brightness temperature over a wide region in the China-Russia border. The weekly mean NDVI data shows the changes in greenness after the forest fire broke out. The NDVI value is positive with persistent greenness and vegetation in the Amur River valley, but from the 2nd week of May onwards the reddish patch appears to spread over the entire region, indicates the burned areas. In addition, we observe the impact of Black Dragon forest fire on tropospheric ozone concentration, aerosol index away from the location over North Pacific Ocean. A clear increase in atmospheric pollutants can be noticed after the forest fire event and the long range transports are confirmed with 72 hours NOAA HYSPLIT forward trajectory analysis.","PeriodicalId":193824,"journal":{"name":"Journal of Atmospheric Science Research","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126342365","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In order to improve the standardization, specialization, intelligence and timeliness of the new generation weather radar fault repair, the technical threshold of radar fault repair is greatly reduced, so that the general operators can carry out radar fault repair work. In order to achieve this goal, this paper designs a new generation weather radar fault repair system, which aims to solve two problems: one is to solve the causes and locations of the new generation weather radar faults which can be quickly and accurately detected and diagnosed[1]; the other is to solve the problem that the grass-roots radar operational staff are inexperienced in maintenance and will not be repaired, and to provide visual through the maintenance system. Maintenance methods and steps with expert intelligence level [2], so that general radar operators can operate radar fault repair according to video steps, and have the technical level of maintenance experts, to achieve breakthroughs in technical difficulties of radar fault repair, to achieve both disease detection and treatment effect, to improve the efficiency of the use of new generation weather radar and to achieve modern technical equipment support. Chemistry plays an important role and significance.
{"title":"Exploration and Research on Fault Maintenance System of New Generation Weather Radar","authors":"Haitao Yan","doi":"10.30564/JASR.V2I2.543","DOIUrl":"https://doi.org/10.30564/JASR.V2I2.543","url":null,"abstract":"In order to improve the standardization, specialization, intelligence and timeliness of the new generation weather radar fault repair, the technical threshold of radar fault repair is greatly reduced, so that the general operators can carry out radar fault repair work. In order to achieve this goal, this paper designs a new generation weather radar fault repair system, which aims to solve two problems: one is to solve the causes and locations of the new generation weather radar faults which can be quickly and accurately detected and diagnosed[1]; the other is to solve the problem that the grass-roots radar operational staff are inexperienced in maintenance and will not be repaired, and to provide visual through the maintenance system. Maintenance methods and steps with expert intelligence level [2], so that general radar operators can operate radar fault repair according to video steps, and have the technical level of maintenance experts, to achieve breakthroughs in technical difficulties of radar fault repair, to achieve both disease detection and treatment effect, to improve the efficiency of the use of new generation weather radar and to achieve modern technical equipment support. Chemistry plays an important role and significance.","PeriodicalId":193824,"journal":{"name":"Journal of Atmospheric Science Research","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125419770","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Yan Wang, Fuchao C. Li, Jin Zhao, Huaxin Chen, Peng Jiang, Xue-Xi Tang
The sediment samples were collected from Maluku Strait at a depth of 1250 m, which is influenced by Mindanao Current and Indonesian Throughflow. Based on 16S rRNA clone libraries, the community structure and vertical distribution of archaea and bacteria were studied in a columnar sediment of 2m in length. From the surface sediment, 16S sequences were derived from fourteen bacterial phyla (Gammaproteobacteria, Planctomycetes, Alphaproteobacteria, Deltproteobacteria were dominant), but were limited to two groups of archaea: Crenarchaeota (99%) and Euryarchaeota (1%). Besides, 90% of the archaea clones were ammonia oxidation-related which indicated that the ammonia-oxidizing archaea might make a significant contribution to the chemosynthesis in the surface sediment. Contrastively in the bottom sediment, six bacterial phylogenetic groups were obtained (Gammaproteobacteria and Firmicutes were absolutely dominant), however no archaea 16S rRNA was detected. The microbial diversity of surface sediment was much higher than the bottom and seven unique bacterial phyla were obtained from two sediment respectively. The geochemical elements analysis revealed that the content of C, TOC and S in the surface sediment was much higher than the bottom, but the content of P is contrary. The microbial communities might be in response to the geochemical substance transfer and deposit influenced by the ocean current and it deserves further study compared with the other sediment samples in this area.
{"title":"Microbial Community Diversity and Vertical Distribution in a Columnar Sediment of Maluku Strait","authors":"Yan Wang, Fuchao C. Li, Jin Zhao, Huaxin Chen, Peng Jiang, Xue-Xi Tang","doi":"10.30564/JASR.V2I2.930","DOIUrl":"https://doi.org/10.30564/JASR.V2I2.930","url":null,"abstract":"The sediment samples were collected from Maluku Strait at a depth of 1250 m, which is influenced by Mindanao Current and Indonesian Throughflow. Based on 16S rRNA clone libraries, the community structure and vertical distribution of archaea and bacteria were studied in a columnar sediment of 2m in length. From the surface sediment, 16S sequences were derived from fourteen bacterial phyla (Gammaproteobacteria, Planctomycetes, Alphaproteobacteria, Deltproteobacteria were dominant), but were limited to two groups of archaea: Crenarchaeota (99%) and Euryarchaeota (1%). Besides, 90% of the archaea clones were ammonia oxidation-related which indicated that the ammonia-oxidizing archaea might make a significant contribution to the chemosynthesis in the surface sediment. Contrastively in the bottom sediment, six bacterial phylogenetic groups were obtained (Gammaproteobacteria and Firmicutes were absolutely dominant), however no archaea 16S rRNA was detected. The microbial diversity of surface sediment was much higher than the bottom and seven unique bacterial phyla were obtained from two sediment respectively. The geochemical elements analysis revealed that the content of C, TOC and S in the surface sediment was much higher than the bottom, but the content of P is contrary. The microbial communities might be in response to the geochemical substance transfer and deposit influenced by the ocean current and it deserves further study compared with the other sediment samples in this area.","PeriodicalId":193824,"journal":{"name":"Journal of Atmospheric Science Research","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128049641","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}