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Assessing the Impact of Land Use and Land Cover Change on Air Quality in East Baton Rouge—Louisiana Using Earth Observation Techniques

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Advances in Remote Sensing 2022年第3期12卷 106-119页

作者： Diana B. Frimpong Yaw A. Twumasi Zhu H. ning Abena B. Asare-Ansah Matilda Anokye Priscilla M. loh Faustina Owusu Caroline Y. Apraku Recheal n. D. Armah Judith Oppong John B. namwamba Department of Urban Forestry and natural Resources Southern University and A & M College 102 Fisher Hall Baton Rouge Louisiana USA

There has been significant research in recent decades on Land use Land cover (LULC) changes and their influence on biodiversity but little to no research on its impact on air quality. This research seeks to demonstrate how geospatial technologies such as geographic information system (GIS) and remote sensing can be used to assess the effects of LULC changes on particulate matter emissions and their impact on air quality in the East Baton Rouge area. In pursuit of these objectives, this study uses LAnDSAT imageries from the past 30 years specifically Landsat Thematic Mapper (TM C2L2) and Landsat 8 Operational Land Imager/Thermal Infrared (OLI/TIRS C2L2) covering 1991, 2001, 2011 and 2021 were collected, processed, and analyzed for the LULC change analysis using QGIS software. Additionally, Sentinel 5P and the Air quality index from the U.S. Environmental Protection Agency (EPA) were used to assess the air quality trend over the years to establish the correlation between LULC and air quality. Results showed an increasing trend in air quality over the past 3 decades with concentrations of CO, nO2, and PM2.5 abruptly falling however, urbanization and the population expanded throughout the time. The paper concludes by outlining a policy recommendation in the form of encouraging Louisiana residents to use alternative renewable energies rather than the over-dependence on coal-fired electric generating plants that have an impact on the environment.

关键词： Google Earth Engine Aerosol Air Quality Sentinel-5P Land Use Land Cover Change

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二维码在创伤数据录入中的应用效果观察

创伤外科杂志 2020年第3期22卷 224-227页

作者：贺琳娜吴京兰何桂兰 Meei-Ing loh 深圳市第六人民医院(南山医院) 华中科技大学协和深圳医院创伤重症监护室深圳518052 美国南加州大学医学中心创伤质量控制部门美国90033

目的研究二维码(quick response,QR)在创伤数据录入中的应用效果。方法30名护理人员前瞻性对2016年1月—2018年6月急诊科收治的创伤患者数据(包括患者基本信息、院前信息、急诊科、放射科/实验室检查、手术/ICU处置、咨询、出院信息、财... 详细信息

目的研究二维码(quick response,QR)在创伤数据录入中的应用效果。方法30名护理人员前瞻性对2016年1月—2018年6月急诊科收治的创伤患者数据(包括患者基本信息、院前信息、急诊科、放射科/实验室检查、手术/ICU处置、咨询、出院信息、财务)分别进行手动录入(手动录入组,n=15)和二维扫码录入(扫码录入组,n=15),对比两组的录入时间、准确性以及系统可用性量表(SUS)评分。结果15例患者创伤数据:扫码录入组录入用时间(53.7±1.4)min显著少于手动录入组(75.0±1.8)min;25例患者创伤数据:录入时间,扫码录入组vs.手动录入组:(83.7±1.7)min vs.(106.4±10.7)min;30例患者创伤数据:录入时间,扫码录入组vs.手动录入组:(98.5±2.8)min vs.(128.1±2.8)min;差异均有统计学意义(P<0.05)。手动录入和扫码录入的准确率随录入人数的增加呈降低趋势,但两组录入的准确率差异无统计学意义。扫码录入组SUS评分(78.4±9.1)分,显著高于手动录入组(61.5±8.3)分(P=0.002<0.05)。结论通过二维码扫描可以完成创伤数据录入工作,并能提高创伤数据录入效率,且更容易被工作人员接受。

关键词：创伤数据库登记二维码

来自离体组织及体内肺组织肿块的实体瘤中心穿刺活检的基因组的充分性:前瞻性研究

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国际医学放射学杂志 2017年第3期 342-343页

作者： n.Jamshidi D.Huang F.G.Abtin C.T.loh S.T.Kee R.D.Suh 刘会娜 Department of Radiological Sciences and Pathology David Geffen School of Medicine at UCLA

摘要目的探讨影像引导下进行肿块中心穿刺活检所获取核酸数量与质量的变量和影响因素。材料与方法本研究由机构伦理委员会批准并符合HIPAA。前瞻性地收集了74例病人的232个活检标本(包括49例病人手术切除肿块的177个离体穿刺的标本和25... 详细信息

摘要目的探讨影像引导下进行肿块中心穿刺活检所获取核酸数量与质量的变量和影响因素。材料与方法本研究由机构伦理委员会批准并符合HIPAA。前瞻性地收集了74例病人的232个活检标本(包括49例病人手术切除肿块的177个离体穿刺的标本和25例病人CT引导下肺活检的55个活体肺穿刺标本),并就穿刺针规格(gauge)、穿刺针数和穿刺针芯的百分比来定量测量DnA和RnA量。RnA质量也要评估。采用方差分析和线性回归分析评估变量之间相关

关键词：穿刺活检肿块基因组染色体组

An Assessment of the Potential Use of Forest Residues for the Production of Bio-Oils in the Urban-Rural Interface of Louisiana

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Open Journal of Forestry 2022年第4期12卷 479-502页

作者： Yaw A. Twumasi Zhu H. ning John B. namwamba Edmund C. Merem Abena B. Asare-Ansah Harriet B. Yeboah Matilda Anokye Diana B. Frimpong Priscilla M. loh Julia Atayi Judith Oppong Cynthia C. Ogbu Rechael n. D. Armah Caroline Y. Apraku Opeyemi I. Oladigbolu Joyce McClendon-Peralta Department of Urban Forestry and natural Resources Southern University and A&M College Baton Rouge USA Department of Urban and Regional Planning Jackson State University Jackson USA Department of Geography and Tourism Studies Brock University St. Catharines Canada

Louisiana is endowed with forest resources. Forest wastes generated after thinning, land clearing, and logging operations, such as wood debris, tree trimmings, barks, sawdust, wood chips, and black liquor, among others, can serve as potential fuels for energy production in Louisiana. This paper aims to evaluate the potential annual volumes of forest wastes established on detailed and existing data on the forest structure in the rural-urban interface of Louisiana. It also demonstrates the state’s prospects of utilizing forest wastes to produce bio-oils. The data specific to the study was deduced from secondary data sources to obtain the annual average total residue production in Louisiana and estimate the number of logging residues available for procurement for bioenergy production. The total biomass production per year was modeled versus years by polynomial regression curve fitting using Microsoft Excel. Results of the model show that the cumulative annual total biomass production for 2025 and 2030 in Louisiana is projected to be 80000000 Bone Dry Ton (BDT) and 16000000 (BDT) respectively. The findings of the study depict that Louisiana has a massive biomass supply from forest wastes for bioenergy production. Thus, the potential for Louisiana to become an influential player in the production of bio-based products from forest residues is evident. The author recommends that future research can use Geographic Information Systems (GIS) to create maps displaying the potential locations and utilization centers of forest wastes for bioenergy production in the state.

关键词： Bioenergy Production Bio-Oils Polynomial Regression Bio-Products Forest Residues Logging Residues Wood Wastes Louisiana

SYnTHESIS OF BIS(1-DIETHYLPHOSPHInYL-2-DIPHEnYLPHOSPHInYL-ETHAnE) BIS (DInITROGEn) MOLYBDEnUM (O), Mo(n_2)_2 (Et_2PCH_2CH_2PPh_2)_2

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Chinese Science Bulletin 1980年第11期25卷 919-922页

作者：陈家碧雷桂馨陆熙炎 Shanghai Institute of Organic Chemistry Academia Sinica

The study of dinitrogen complexes has been a very active field in recent years. Chatt and his coworkers in 1975 succeeded in converting nitrogen molecule in dinitrogen complexes into ammonia by the addition of proton at room temperature. This indicated that nitrogen molecule coordinated to low valent transition metals can be activated and can take on protons to produce ammonia(2-4)After a detailed study of the protonation reaction of dinitrogen complexes, it was found that only

关键词： ammonia valent complexes converting coordinated titration removed alkaline proton absorbed

Bioenergy Crops as a Promising Alternative to Fossil Fuels in Louisiana: A Geographic Information System (GIS) Perspective

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Journal of Sustainable Bioenergy Systems 2022年第4期12卷 57-81页

作者： Yaw A. Twumasi Zhu H. ning John B. namwamba Abena B. Asare-Ansah Edmund C. Merem Harriet B. Yeboah Judith Oppong Matilda Anokye Diana B. Frimpong Priscilla M. loh Julia Atayi Rechael n. D. Armah Caroline Y. Apraku Opeyemi I. Oladigbolu Cynthia C. Ogbu Leah W. njeri Joyce McClendon-Peralta Department of Urban Forestry and natural Resources Southern University and A&M College Baton Rouge USA Department of Urban and Regional Planning Jackson State University Jackson USA Department of Geography and Tourism Studies Brock University St. Catharines Canada

Rising greenhouse gas emissions are causing climate change, and the world’s focus has shifted to the need to reduce our reliance on fossil fuels. There has been a rise in the published literature on the utilization of crops for bioenergy production in Louisiana. However, very few scholarly documents have used Geographic Information Systems (GIS) to map the distribution of potential bioenergy crops in Louisiana. This study seeks to fill the void by evaluating the potential of bioenergy crops in Louisiana for energy production using GIS. Given this objective, the agricultural census data for 1999, 2009, 2019, and 2020 obtained from the U.S. Department of Agriculture were used in the analysis. The quantities of various crops produced in the state were loaded into an attribute table and joined to a shapefile using ArcGIS software. The symbology tool’s graduated option was used to create five maps representing each of the bioenergy crops in Louisiana. The findings of the GIS analysis show that some of the parishes, such as Franklin produced the most bushels of corn (13,795,416), Iberia produced the most tons of sugarcane (1,697,980), East Carroll produced the most bushels of soybean (8,237,991), Tensas harvested the most bales of cotton (80,898) and Avoyelles produced the most bushels of sorghum (630,694). The abundance and availability of crops as raw materials for energy production will translate into lower prices in terms of energy use, making bioenergy crops a promising alternative to fossil fuels. In addition, gasoline price data from 1993-2022 was obtained from U.S. Energy Information Administration. A regression model for the average annual gasoline price over the years was constructed. The results show that the average annual gasoline price variation with respect to years is statistically significant (p 0.05). This suggests that gasoline prices will generally rise despite a price drop over the years. The paper concludes by outlining policy recommendations in the

关键词： Bioenergy Crops Biomass Fossil Fuel Gasoline Geographic Information Sys-tem (GIS) Regression Analysis Louisiana

Analysis of Precipitation Trends and Prediction in Selected Cities in the Southeast Louisiana

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Atmospheric and Climate Sciences 2022年第4期12卷 698-727页

作者： Yaw A. Twumasi John B. namwamba Zhu H. ning Edmund C. Merem Priscilla M. loh Abena B. Asare-Ansah Jacob B. Annan Ronald Okwemba Harriet B. Yeboah Caroline Y. Apraku Janeth Mjema Rechael n. D. Armah Matilda Anokye Lucinda A. Kangwana Judith Oppong Julia Atayi Cynthia C. Ogbu Opeyemi I. Oladigbolu Diana B. Frimpong Joyce McClendon-Peralta Department of Urban Forestry and natural Resources Southern University and A&M College Baton Rouge LA USA Department of Urban and Regional Planning Jackson State University Jackson MS USA Department of Geography and Tourism Studies Brock University St. Catharines Canada

The impacts of climate change are being felt in Louisiana, in the form of changing weather patterns that have resulted in changes in floods, hurricanes, tornadoes frequencies of occurrence, and magnitudes, among others resulting in, flooding. The variabilities in rainfall in a drainage basin affect water availability and sustainability. This study analyzed the precipitation data of Southeastern Louisiana, United States, for the period 1990 to 2020. Data used in the study was from, Donaldsonville, Galliano, Lafourche, Gonzales, Ascension, Morgan, new Orleans, Audubon, Plaquemine, and Ponchatoula, Tangipahoa, weather stations. These stations were selected because the differences between each of their highest and lowest average annual rainfall data were greater than 20 inches. To investigate climate patterns and trends for the given weather stations in Southeastern Louisiana, precipitation data were analyzed on annual time scales using data collected from the World Bank Group Climate Change Knowledge Portal for Development Practitioners and Policy Makers and the Applied Climate Information System (ACIS) of the national Weather Service Prediction Center. The data were further aggregated using annual average blocks of 4 years, and linear and polynomial regression was performed to establish trends. The highest and lowest average annual rainfall data for Donaldsonville, Galliano, Lafourche, Gonzales, Ascension, Morgan, new Orleans, Audubon, Plaquemine, and Ponchatoula, Tangipahoa, weather stations were, 75 and 48, 71 and 44, 73.5 and 52.7, 75 and 46.4, 72 and 41.3, 94 and 55.3, Ponchatoula, and 78.6 and 44, respectively. Plaquemine recorded the highest average annual average rainfall while new Orleans, Audubon station recorded the lowest. The projection of the precipitation in 2030 has been carried out to inform scientists and stakeholders about the approximate quantity of rainfall expected and enable them to make their expected impacts on agriculture, economy, etc. The pr

关键词： Precipitation Linear and Polynomial Regression Extrapolating Models Southeastern Louisiana

蓝莓干预对认知表现和情绪的影响——基于随机对照试验的系统综述

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蓝莓干预对认知表现和情绪的影响——基于随机对照试验的系统综述

Flood Mapping in Mozambique Using Copernicus Sentinel-2 Satellite Data

作者： nikolaj Travica nathan M D’Cunha nenad naumovski Katherine Kent duane D Mellor Joseph Firth Ekavi n Georgousopoulou Olivia M.Dean Amy Loughman Felice Jacka Wolfgang Marx 胡友春

蓝莓富含多酚,对改善认知能力和调节情绪都有好处。本系统综述基于随机对照试验,评估蓝莓和蓝莓产品对认知和情绪的影响。11篇文章(包括12项研究)被纳入本研究,有9项研究使用冻干蓝莓做干预物、2项研究使用全蓝莓、1项研究使用蓝莓浓缩... 详细信息

蓝莓富含多酚,对改善认知能力和调节情绪都有好处。本系统综述基于随机对照试验,评估蓝莓和蓝莓产品对认知和情绪的影响。11篇文章(包括12项研究)被纳入本研究,有9项研究使用冻干蓝莓做干预物、2项研究使用全蓝莓、1项研究使用蓝莓浓缩物进行干预研究。这些研究分别在儿童(n=5)、年轻人(n=1)和没有认知障碍(n=4)或有认知障碍(n=2)的老年人群中进行。八项研究报告了通过食用或补充不同剂量的蓝莓及不同干预时间对认知改善的能力,特别是对短、长期记忆和空间记忆的改善作用。在情绪方面,一项研究报告显示,在两组间干预,蓝莓产品展现了情绪显著改善的积极影响;而另外四项研究报告蓝莓干预对情绪没有改善。被纳入的所有研究均是低偏倚风险。基于目前的证据,蓝莓干预超过六个月可提高一些认知能力指标。然而,鉴于研究设计、剂量和花青素含量的巨大差异,阻碍了研究间的比较。在未来的试验中,推荐使用标准化的蓝莓干预措施,考虑安慰剂配方,使用一致的认知表现工具进行研究。

关键词：蓝莓花青素黄酮类多酚认知情绪营养食品干预人体

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Advances in Remote Sensing 2022年第3期12卷 80-105页

作者： Yaw A. Twumasi Edmund C. Merem John B. namwamba Abena B. Asare-Ansah Jacob B. Annan Zhu H. ning Rechael n. D. Armah Caroline Y. Apraku Harriet B. Yeboah Julia Atayi Matilda Anokye Diana B. Frimpong Ronald Okwemba Olipa S. Mwakimi Judith Oppong Brilliant M. Petja Janeth Mjema Priscilla M. loh Lucinda A. Kangwana Valentine Jeruto Leah Wangari njeri Joyce McClendon-Peralta Department of Urban Forestry and natural Resources Southern University and A & M College 102 Fisher Hall Baton Rouge Louisiana USA Department of Urban and Regional Planning Jackson State University 101 Capitol Center Jackson Mississippi USA Department of Geography and Tourism Studies Brock University St. Catharines Ontario Canada Institute of Resource Assessment University of Dares Salam Dares Salam Tanzania Water Research Commission (WRC) Private Bag X03 Gezina South Africa

Over the last two decades, Mozambique has experienced tremendous tropical cyclonic activities causing many flooding activities accompanied by disastrous human casualties. Studies that integrate remote sensing, elevation data and coupled with demographic analysis in Mozambique are very limited. This study seeks to fill the void by employing satellite data to map inundation caused by Tropical Cyclones in Mozambique. In pursuit of this objective, Sentinel-2 satellite data was obtained from the United States Geological Survey (USGS)’s Earth Explorer free Online Data Services imagery website covering the months of March 20, 2019, March 25, 2019, and April 16, 2019 for two cities, Maputo and Beira in Mozambique. The images were geometrically corrected to remove, haze, scan lines and speckles, and then referenced to Mozambique ground-based Geographic: Lat/Lon coordinate system and WGS 84 Datum. Data from twelve spectral bands of Sentinel-2 satellite, covering the visible and near infrared sections of the electromagnetic spectrum, were further used in the analysis. In addition, normalized Difference Water Index (nDWI) within the study area was computed using the green and near infrared bands to highlight water bodies of Sentinel-2 detectors. To project and model the population of Mozambique and see the impact of cyclones on the country, demographic data covering 1980 to 2017 was obtained from the World Bank website. The Exponential Smoothing (ETS) method was adopted to forecast the population of Mozambique. Results from nDWI analysis showed that the nDWI is higher for flood areas and lower for non-flooded ones. The ETS algorithm results indicate that the population of Mozambique would nearly double by 2047. Human population along the coastal zone in the country is also on the rise exponentially. The paper concludes by outlining policy recommendations in the form of uniform distribution of economic activities across the country and prohibition of inland migration to the coas

关键词： Tropical Cyclones Floods Remote Sensing nDWI Exponential Smoothing (ETS) Digital Elevation Model (DEM) Sentinel-2 Satellite Mozambique