Pub Date : 2019-03-29DOI: 10.11648/J.JENR.20190801.13
Hossain Al Tanjil, Sigma Akter, M. Chowdhury, Syeda Musarrat Jabin, Azmol Huda Mintu, Mohammad Tofayal Ahmed, M. S. Hossain
Bangladesh is a country of natural resources, but it is facing necessary energy supply difficulties for its low economical condition. Biogas can be used a substitute energy generating source in Bangladesh for its suitable climate. About 35°C temperatures are suitable for biogas production. In Bangladesh, the essential materials for biogas production can be arranged very easy and cheapest way depending on country temperature (4°C - 41°C) as it is an agricultural country. About 64 study data was collected from different biogas plants from three Upazila under Jessore district named Jessore sadar, Jhikargachha and Noapara paurasava. Three sizes of biogas plants have been observed in the study areas, which are based on cow dung. The constructional costs of these plants were from 36000 taka to 52000 taka. Biogas is beneficial to human health and environment assistances. Approximately 86% and 80.3% male informed that biogas has improved their mental and physical health respectively. This response has reached more than 95% for female. Maximum male and female thought that not only physical and mental health but also their financial conditions are also benefited by using biogas. About 85.4% to 97.65% male and 88.69% to 98.72% female realized that it has the capability to decrease various waste materials that may have contrary effect on environment. From this survey, it is able to be stated that Bangladesh has an amazing potentiality to adopt more plant life particularly in rural areas for easing the existing environmental degradation, gas power storage, and developing financial situations with suitable health.
{"title":"Biogas as an Alternative Energy Source in Rural Areas and Public Awareness: A Case Study in Jessore District","authors":"Hossain Al Tanjil, Sigma Akter, M. Chowdhury, Syeda Musarrat Jabin, Azmol Huda Mintu, Mohammad Tofayal Ahmed, M. S. Hossain","doi":"10.11648/J.JENR.20190801.13","DOIUrl":"https://doi.org/10.11648/J.JENR.20190801.13","url":null,"abstract":"Bangladesh is a country of natural resources, but it is facing necessary energy supply difficulties for its low economical condition. Biogas can be used a substitute energy generating source in Bangladesh for its suitable climate. About 35°C temperatures are suitable for biogas production. In Bangladesh, the essential materials for biogas production can be arranged very easy and cheapest way depending on country temperature (4°C - 41°C) as it is an agricultural country. About 64 study data was collected from different biogas plants from three Upazila under Jessore district named Jessore sadar, Jhikargachha and Noapara paurasava. Three sizes of biogas plants have been observed in the study areas, which are based on cow dung. The constructional costs of these plants were from 36000 taka to 52000 taka. Biogas is beneficial to human health and environment assistances. Approximately 86% and 80.3% male informed that biogas has improved their mental and physical health respectively. This response has reached more than 95% for female. Maximum male and female thought that not only physical and mental health but also their financial conditions are also benefited by using biogas. About 85.4% to 97.65% male and 88.69% to 98.72% female realized that it has the capability to decrease various waste materials that may have contrary effect on environment. From this survey, it is able to be stated that Bangladesh has an amazing potentiality to adopt more plant life particularly in rural areas for easing the existing environmental degradation, gas power storage, and developing financial situations with suitable health.","PeriodicalId":424174,"journal":{"name":"Journal of Energy and Natural Resources","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134320869","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}
Pub Date : 2019-03-08DOI: 10.11648/j.jenr.20190801.12
Wei Huaidong, Liao Jingjing, C. Fang, Zhang Bo, Zhou Lanping, Li Ya, Yang Xuemei
Plant water is a main factor to affect physiological and biochemical indexes of plants like photosynthesis, respiration, and biomass and so on. The investigation of plant water content is an important part of vegetation research. The study of the relationship between water content and canopy spectrum of typical desert plants by hyper spectral has great significance for remote sensing monitoring of vegetation in arid desert areas. The canopy spectral curves of 10 typical desert plants were determined by ASD portable ground spectrometer in this study. The correlation coefficient method and vegetation index method were used to analyze the spectral characteristics of different desert plants and their relationship with canopy moisture content. The results show: 1) the reflectance curve of desert plants has the general characteristics of green plants in the visible-near-infrared band, with obvious "green peak" characteristics and "red edge effect". 2) In the three wavebands of 954-973 nm, 1184-1198 nm and 1440-1462 nm, desert plants have obvious water absorption valleys. Among them, the correlation coefficient between spectral reflectance and water content in the 1440-1462 nm band is greater than 0.8, and they have strong linear correlation. 3) WBI (Water Band Index), NDWI (Normalized Difference Water Index), NDII (Normalized Difference Infrared Index), MSI (Moisture Stress Index) were significantly correlated with plant water content (P<0.05), and the measured values of canopy moisture content index and vegetation moisture have high consistency and can reflect the change of moisture content of desert vegetation.
{"title":"The Characteristic Analysis of Canopy Spectrum and Moisture Content of 10 Typical Arid Desert Plants","authors":"Wei Huaidong, Liao Jingjing, C. Fang, Zhang Bo, Zhou Lanping, Li Ya, Yang Xuemei","doi":"10.11648/j.jenr.20190801.12","DOIUrl":"https://doi.org/10.11648/j.jenr.20190801.12","url":null,"abstract":"Plant water is a main factor to affect physiological and biochemical indexes of plants like photosynthesis, respiration, and biomass and so on. The investigation of plant water content is an important part of vegetation research. The study of the relationship between water content and canopy spectrum of typical desert plants by hyper spectral has great significance for remote sensing monitoring of vegetation in arid desert areas. The canopy spectral curves of 10 typical desert plants were determined by ASD portable ground spectrometer in this study. The correlation coefficient method and vegetation index method were used to analyze the spectral characteristics of different desert plants and their relationship with canopy moisture content. The results show: 1) the reflectance curve of desert plants has the general characteristics of green plants in the visible-near-infrared band, with obvious \"green peak\" characteristics and \"red edge effect\". 2) In the three wavebands of 954-973 nm, 1184-1198 nm and 1440-1462 nm, desert plants have obvious water absorption valleys. Among them, the correlation coefficient between spectral reflectance and water content in the 1440-1462 nm band is greater than 0.8, and they have strong linear correlation. 3) WBI (Water Band Index), NDWI (Normalized Difference Water Index), NDII (Normalized Difference Infrared Index), MSI (Moisture Stress Index) were significantly correlated with plant water content (P<0.05), and the measured values of canopy moisture content index and vegetation moisture have high consistency and can reflect the change of moisture content of desert vegetation.","PeriodicalId":424174,"journal":{"name":"Journal of Energy and Natural Resources","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131711139","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}
Pub Date : 2019-02-14DOI: 10.11648/J.JENR.20190801.11
H. Alsamamra
Solar radiation is the main energy source for mankind and an accurate data of solar radiation levels for a particular location is vital for the optimum operation of solar energy transducers such as photovoltaic cells and solar thermal collectors. This study aimed to calibrate some of the existing models in the literature for estimating daily global solar radiation parameter using available measured records of air temperature extremes and new models were developed based on maximum and minimum air temperatures. Applicability of the Hargreaves model, Allen model, Bristow-Campbell model and Chen et al. model were evaluated for computing the global solar radiation for Hebron city in Palestine. Estimated values were compared with measured values in terms of the coefficient of determination (R 2 ) and root mean square error (RMSE). All models provide good estimates when compared to the accurate values with R 2 0.9226 (Bristow-Campbell model) to 0.9547 (Chen et al. model), while the proposed model provides a value of 0.9632. The RMSE value ranges from 0.7632 for Chen et al. model to 0.9211 for Bristow-Campbell model, however a lower value (0.7118) for the proposed model. This study found that the proposed model estimates global solar radiation at the location of study better than the other models.
{"title":"Estimation of Global Solar Radiation from Temperature Extremes: A Case Study of Hebron City, Palestine","authors":"H. Alsamamra","doi":"10.11648/J.JENR.20190801.11","DOIUrl":"https://doi.org/10.11648/J.JENR.20190801.11","url":null,"abstract":"Solar radiation is the main energy source for mankind and an accurate data of solar radiation levels for a particular location is vital for the optimum operation of solar energy transducers such as photovoltaic cells and solar thermal collectors. This study aimed to calibrate some of the existing models in the literature for estimating daily global solar radiation parameter using available measured records of air temperature extremes and new models were developed based on maximum and minimum air temperatures. Applicability of the Hargreaves model, Allen model, Bristow-Campbell model and Chen et al. model were evaluated for computing the global solar radiation for Hebron city in Palestine. Estimated values were compared with measured values in terms of the coefficient of determination (R 2 ) and root mean square error (RMSE). All models provide good estimates when compared to the accurate values with R 2 0.9226 (Bristow-Campbell model) to 0.9547 (Chen et al. model), while the proposed model provides a value of 0.9632. The RMSE value ranges from 0.7632 for Chen et al. model to 0.9211 for Bristow-Campbell model, however a lower value (0.7118) for the proposed model. This study found that the proposed model estimates global solar radiation at the location of study better than the other models.","PeriodicalId":424174,"journal":{"name":"Journal of Energy and Natural Resources","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121369581","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}
Pub Date : 1900-01-01DOI: 10.11648/j.jenr.20221102.14
J. Oduogo, Henry Barasa
{"title":"Flow Distortion Effects of a Three-Dimensional Ultrasonic Anemometer and Its Impact on Measurements","authors":"J. Oduogo, Henry Barasa","doi":"10.11648/j.jenr.20221102.14","DOIUrl":"https://doi.org/10.11648/j.jenr.20221102.14","url":null,"abstract":"","PeriodicalId":424174,"journal":{"name":"Journal of Energy and Natural Resources","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124613279","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}
Pub Date : 1900-01-01DOI: 10.11648/j.jenr.20211004.12
Abu Regasa Gemada
{"title":"Characterization of Soils of Jello Chancho Watershed: The Case of Liban District, East Shewa Zone Ethiopia","authors":"Abu Regasa Gemada","doi":"10.11648/j.jenr.20211004.12","DOIUrl":"https://doi.org/10.11648/j.jenr.20211004.12","url":null,"abstract":"","PeriodicalId":424174,"journal":{"name":"Journal of Energy and Natural Resources","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124770678","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}
Pub Date : 1900-01-01DOI: 10.11648/j.jenr.20221102.11
Iragena Philbert
{"title":"Extent of Resilience to Climate Change in Secondary Cities of Rwanda (Energy Land Use and Natural Environment): Case Study of Rusizi District","authors":"Iragena Philbert","doi":"10.11648/j.jenr.20221102.11","DOIUrl":"https://doi.org/10.11648/j.jenr.20221102.11","url":null,"abstract":"","PeriodicalId":424174,"journal":{"name":"Journal of Energy and Natural Resources","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122791755","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}
Pub Date : 1900-01-01DOI: 10.11648/j.jenr.20221101.13
Getu Emiru Gonde, G. Kitila
: The problem of soil erosion is one of the major environmental problems contributing to food insecurity. It needs to attention to carried out conservation measures to reduce the problem of soil erosion and to improve the food insecurity. However, the impact of soil and water conservation measures on soil quality attributes has not been well investigated in the Bako Tibe district, Western Ethiopia. Therefore, this study was undertaken to investigate the impact of soil and water conservation measures on selected soil quality attributes in the study area. Soil samples were taken from cultivated land (teff and maize) and grazing land from conserved and unconserved sites at the depth of 0-20 cm from top and bottom slope positions. Data were analyzed with one-way analysis of variance (ANOVA) using SAS version 9.2 following GLM procedure. The results of the study revealed that soil quality attributes, such as soil bulk density, porosity and soil pH were affected by soil and water conservation practices and slope gradients and results were statistically significant (p < 0.05). With the exception of soil pH, all studied chemical attributes such as Soil Organic Matter, Total Nitrogen, Available Phosphorus, Exchangeable Bases such as K + , Mg 2+ and Ca 2+ and CEC of the soil under the conserved and un conserved sites were not affected by SWC practices and slope positions.
{"title":"Impacts of Soil and Water Conservation Measures on Selected Soil Quality Attributes at Jima Bako Area, Western Ethiopia","authors":"Getu Emiru Gonde, G. Kitila","doi":"10.11648/j.jenr.20221101.13","DOIUrl":"https://doi.org/10.11648/j.jenr.20221101.13","url":null,"abstract":": The problem of soil erosion is one of the major environmental problems contributing to food insecurity. It needs to attention to carried out conservation measures to reduce the problem of soil erosion and to improve the food insecurity. However, the impact of soil and water conservation measures on soil quality attributes has not been well investigated in the Bako Tibe district, Western Ethiopia. Therefore, this study was undertaken to investigate the impact of soil and water conservation measures on selected soil quality attributes in the study area. Soil samples were taken from cultivated land (teff and maize) and grazing land from conserved and unconserved sites at the depth of 0-20 cm from top and bottom slope positions. Data were analyzed with one-way analysis of variance (ANOVA) using SAS version 9.2 following GLM procedure. The results of the study revealed that soil quality attributes, such as soil bulk density, porosity and soil pH were affected by soil and water conservation practices and slope gradients and results were statistically significant (p < 0.05). With the exception of soil pH, all studied chemical attributes such as Soil Organic Matter, Total Nitrogen, Available Phosphorus, Exchangeable Bases such as K + , Mg 2+ and Ca 2+ and CEC of the soil under the conserved and un conserved sites were not affected by SWC practices and slope positions.","PeriodicalId":424174,"journal":{"name":"Journal of Energy and Natural Resources","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128505924","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}
Pub Date : 1900-01-01DOI: 10.11648/j.jenr.20211004.13
Ishai Oliker, R. Kremer, Dmitry Chernyy
{"title":"Testing of Energy Efficient Fisonic Devices at the Woolworth Building in New York City","authors":"Ishai Oliker, R. Kremer, Dmitry Chernyy","doi":"10.11648/j.jenr.20211004.13","DOIUrl":"https://doi.org/10.11648/j.jenr.20211004.13","url":null,"abstract":"","PeriodicalId":424174,"journal":{"name":"Journal of Energy and Natural Resources","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128297444","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}
Pub Date : 1900-01-01DOI: 10.11648/j.jenr.20221101.14
R. Elema, Sisay Negash, Alamu Tolosa, M. Abdella
{"title":"Evaluation of Pigeon Pea Varieties and Cultivars for Soil Nutrient Addition and Fertility Level in Case of Fadis District of Eastern Hararghe Zone","authors":"R. Elema, Sisay Negash, Alamu Tolosa, M. Abdella","doi":"10.11648/j.jenr.20221101.14","DOIUrl":"https://doi.org/10.11648/j.jenr.20221101.14","url":null,"abstract":"","PeriodicalId":424174,"journal":{"name":"Journal of Energy and Natural Resources","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117311883","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}
Pub Date : 1900-01-01DOI: 10.11648/j.jenr.20221102.12
Yanchang Liu, Weifang Kong, Ke Du, Tongming Liu, Yuliln Wang
: With the development of petroleum in China, most oilfields have entered the stage of high water cut development. Well ground resistivity method as a new type of electric prospecting method, which have influence on the formation of small, measuring low cost advantages, gradually become one of the key technology of remaining oil distribution in the detection of resistivity inversion is through observation of the underground space apparent resistivity data reconstruction of the underground resistivity distribution, can realize the resistivity imaging of the underground space. In order to achieve the morphological characterization and spatial location of the abnormal area of underground resistivity, and then to carry out geological interpretation, the definition and properties of resistivity inversion are summarized, and the bottleneck problems encountered in practical engineering application are re-recognized and analyzed. On this basis, the theoretical method, numerical method and inversion method based on machine learning are introduced to solve the inverse resistivity problem of underground abnormal body. The inversion method based on deep learning is emphatically introduced, and its advantages and disadvantages and applicability are evaluated. It is pointed out that inversion is an ideal tool for data analysis. Then, it is pointed out that the development direction of resistivity inversion of underground abnormal body is to propose an optimized inversion network architecture based on deep learning.
{"title":"Review on Resistivity Inversion of Underground Abnormal Bodies","authors":"Yanchang Liu, Weifang Kong, Ke Du, Tongming Liu, Yuliln Wang","doi":"10.11648/j.jenr.20221102.12","DOIUrl":"https://doi.org/10.11648/j.jenr.20221102.12","url":null,"abstract":": With the development of petroleum in China, most oilfields have entered the stage of high water cut development. Well ground resistivity method as a new type of electric prospecting method, which have influence on the formation of small, measuring low cost advantages, gradually become one of the key technology of remaining oil distribution in the detection of resistivity inversion is through observation of the underground space apparent resistivity data reconstruction of the underground resistivity distribution, can realize the resistivity imaging of the underground space. In order to achieve the morphological characterization and spatial location of the abnormal area of underground resistivity, and then to carry out geological interpretation, the definition and properties of resistivity inversion are summarized, and the bottleneck problems encountered in practical engineering application are re-recognized and analyzed. On this basis, the theoretical method, numerical method and inversion method based on machine learning are introduced to solve the inverse resistivity problem of underground abnormal body. The inversion method based on deep learning is emphatically introduced, and its advantages and disadvantages and applicability are evaluated. It is pointed out that inversion is an ideal tool for data analysis. Then, it is pointed out that the development direction of resistivity inversion of underground abnormal body is to propose an optimized inversion network architecture based on deep learning.","PeriodicalId":424174,"journal":{"name":"Journal of Energy and Natural Resources","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128744702","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：