有意违章行为动因分析与控制对策探讨

对有意违章行为的含义进行了界定 ,并对有意违章行为产生的动因进行了详细分析 ,提出了有意违章行为的动因主要包含违章行为与遵章行为满足生理心理需要作用的差值ΔXW、违章行为会受到法规惩处的作用FW、违章行为可导致人身伤害的主观感觉的作用RW3个方面。同时对 3个方面的动因按弗鲁姆的激励理论进行了转化 ,给出了各自的含义说明。笔者按动因分析的结果 ,给出了控制有意违章行为的步骤和措施     

神农架主峰南坡猕猴桃种质资源调查及保护策略

巴东县北部神农架主峰南坡的送子园原始森林保护区内具有种类繁多的猕猴桃种质资源，经调查发现共分布有中华猕猴桃（A.chiensis)、美味猕猴桃（A.deliciosa)、革叶猕猴桃(A．rubricalis var.coriacea)、葛枣猴桃(A．ploygama)、京梨猕猴桃(A．callosa var．henryi)、软枣猕猴桃(A．arguta)、巴东猕猴桃(A．tetramera var.badongenisis)、紫果猕猴桃(A．arguta var.purpurea)及紫果新变型、绵毛藤山柳(Clematoclthra lanosa)10种(包括变种、变型)。简述了各种类的植物学性状和果实经济性状，种质资源分布的主要特点以及生态环境，指出由于砍伐森林和环境条件的恶化使猕猴桃资源已受到威胁和破坏，提出保护策略的重点是提高全民的生态保护意识；可持续开发利用资源；加大科技对猕猴桃资源保护支撑的力度。其主要保育措施：一是在保护区内就地进一步加强物种全面保护；二是省级以上科研单位分区建立猕猴桃后种质资源圃，对濒危物种或持有物种进行迁地保护；三是开展超低温保存技术的研究，建立种子和花粉基因库。并建立完善与国际接轨的信息数据库平台，便于国际合作与交流。     

长江三峡地区坡地发育初步研究

坡地发育是地貌学研究的基本问题之一。三峡地区坡地发育的研究对三峡库岸稳定性的评估和三峡移民的土地开发具有十分重要的意义。首先从概括坡地发育的研究进展，阐述科学家们对坡地发育的不同看法入手，引出三峡地区坡地发育的特殊性。初步研究三峡地区的坡地发育具有分段式分进的特点，包括中山峰陡坡的剥蚀后退过程，山顶缓坡的风化剥蚀夷平的过程，上段斜坡的片流坡地侵蚀过程，下段陡坡的剥坡后退过程，山麓堆积缓坡的剥蚀过程等。通过分析三峡地区坡地的五种坡段的成因、现状、发展趋势以及它们对三峡库区的稳定性和三峡移民的土地开发的影响，预测未来的三峡库岸，大部分为剥蚀陡坡，部分为崩塌滑坡陡坡，三峡沿岸城镇开发建设的重点将是库岸有坡地的防护工程。     

Water resource management in Kabul river basin, eastern Afghanistan

Severe drinking water shortage affects all resident of the Kabul river basin. Two and a half decades of civil war in Afghanistan (it began in late 1978) have resulted in widespread environmental degradation and water resource development throughout the country. The war has already finished and, therefore, water resource management for supplying water is one of the most important tasks for Afghanistan’s government. The Kabul river basin which is the most populated area in the country is located in the eastern part of Afghanistan. This article deals with the water resource properties of the Kabul river basin and also water demand in the important cities of the basin, such as Kabul, the capital and the largest city in the country. Also a few suggestions for providing water for domestic and agriculture purposes in short term, medium time and long term have been discussed.     

新冠肺炎疫情期间我国居民佩戴口罩防护行为研究

口罩作为阻隔病毒传染的物理方式之一,其能阻断病原体经飞沫传播,同时具有双向隔离保护作用.佩戴口罩对于公众防范新型冠状病毒（2019-nCoV）感染的风险和维持人体基本健康具有重要意义.为了解新型冠状病毒肺炎（COVID-19,简称“新冠肺炎”）疫情期间我国居民佩戴口罩的行为模式特征,基于新冠肺炎疫情期间我国人群环境暴露行为模式调查,分析全国31个省（自治区、直辖市）居民在新冠肺炎疫情期间佩戴口罩的行为特征,并探讨不同潜在风险人群佩戴口罩行为模式的差异性.结果表明:①在新冠肺炎疫情期间,我国人群外出佩戴口罩的比例在99%以上,显著高于非疫情期间的口罩佩戴率（16.05%）,其中,医务人员以及与人群广泛接触群体的口罩佩戴率最高（100%）.②居民以仅佩戴医用外科口罩、仅佩戴一次性使用医用口罩以及佩戴医用外科口罩和一次性使用医用口罩3种模式为主,占31种口罩佩戴模式的60%以上.③新冠肺炎疫情期间,不同职业人群、不同所属人群以及不同疫情地区人群佩戴口罩的比例均存在显著差异.④新冠肺炎疫情期间,我国居民佩戴口罩的更换频次多为累计使用时长4 h更换一次和累计使用时长24 h更换一次.⑤人群外出佩戴口罩的比例随新冠肺炎疫情严重程度的升高而增加.尽管新冠肺炎疫情分布特征和管控措施存在差异,但居民佩戴口罩行为均表现良好,其中居住地不存在疑似病例的人群比居住地存在疑似病例的人群的口罩佩戴率更高,说明人群佩戴口罩行为与疫情的发展可能存在一定的相互作用.研究显示,新冠肺炎疫情期间我国人群佩戴口罩这一防护行为总体执行较好.      

黄河三角洲典型地区耕地土壤养分空间预测

掌握土壤养分的分布特点是实现养分优化管理的重要基础。论文选择黄河三角洲典型地区山东省垦利县为研究区,通过田间采样与实验室化验分析获取了1 278个样本（0~20 cm）的土壤碱解氮、有效磷、速效钾数据。在经典统计分析的基础上,用地统计学方法分析了土壤养分的空间变异特征,并拟合了养分的变异函数模型。利用普通克里格法（OK）、反距离权重法（IDW）、泛克里格法（UK）、径向基函数法（RBF）和局部多项式法（LP）5种方法进行空间插值,并采用独立数据集验证对插值结果进行精度评价,进而分析了各养分空间分布规律。为深入探索各方法的适用性规律,基于AN数据设计了离散、随机、聚集3种空间分布模式的数据,利用各模型的自动优化进行试验,对比分析了不同插值方法在土壤养分空间预测中的自适应性。结果表明：1）研究区碱解氮、有效磷、速效钾均为中等强度的空间变异和中等程度的空间自相关,其变异函数模型分别为球状模型、指数模型和球状模型,决定系数依次为0.951、0.892和0.787;2）在空间分布上,土壤碱解氮、有效磷、速效钾含量与地形和土地利用类型等有关,西南部地势较高,以水浇地和旱田为主,东北部沿黄农田受黄河淡水影响,耕地质量较好,而中部地区地势低平,以水田为主,养分含量偏低;3）相对于块金系数/基台值,Moran’s I是更为稳健有效的衡量土壤养分空间自相关性的方法;4）论文认为,空间分布模式、样本量、空间自相关性和空间聚集程度（最近邻比）均影响插值精度。在离散模式下,各方法自适应性均较差;在随机模式下,IDW与RBF自适应性优于OK和LP;在聚集模式下,各方法自适应性与样本量和空间自相关性有关,直至样本足够多时,4种插值方法精度接近。论文探明了研究区主要土壤养分的最佳插值预测方法,分析了土壤养分的变异特征和空间分布规律,为黄河三角洲典型地区耕地土壤养分利用管理和农业可持续发展提供了理论依据。     

南京市建筑施工环境噪声的管理与对策

针对建筑施工环境噪声扰民问题投诉居高不下，提出环境监理部门要积极宣传环保法律法规，规范举报工作，认真受理投诉，以取得市民的理解与支持；严格审批夜间建筑施工，加大监管力度，做好对夜间施工现场的核查；加强行风建设，通过内强素质，提高自身的业务水平，监督与服务并重；拓展工作思路，加强与建工、公安、市容、市政供电等部门的合作，共同解决噪声扰民问题。     

环境监测实验室废液的管理与处理方法

环境监测实验室的废液处理常常被忽视,提出建立有效的废液管理制度的必要性.有针对性地介绍了环境监测实验室中常见废液的处理方法.     

Study of Meteorological Aspects and Urban Concentration of SO2 in Atmospheric Environment of La Plata, Argentina

This article presents and discusses SO₂ (ppbv) concentration measurements combined with meteorological data (mainly wind speed and direction) for a five-year campaign (1996 to 2000), in a site near an oil refinery plant close to the city of La Plata and surroundings (aprox. 740.000 inh.), considered one of the six most affected cities by air pollution in the country. Since there is no monitoring network in the area, the obtained results should be considered as medium term accumulated data that enables to determine trends by analyzing together gas concentrations and meteorological parameters. Preliminary characterization of the behaviour of the predominant winds of the region in relation with potential atmospheric gas pollutants from seasonal wind roses is possible to carry out from the data. These results are complemented with monthly averaged SO₂ measurements. In particular, for year 2000, pollutant roses were determined which enable predictions about contamination emission sources. As a general result we can state that there is a clear increase in annual SO₂ concentration and that the selected site should be considered as a key site for future survey monitoring network deployment. Annual SO₂ average concentration and prevailing seasonal winds determined in this work, together with the potential health impact of SO₂ reveals the need for a comprehensive and systematic study involving particulate matter an other basic pollutant gases.     

Modeling the spatial pattern of farmland using GIS and multiple logistic regression: a case study of Maotiao River Basin, Guizhou Province, China

Land use change is an important topic in the field of global environmental change and sustainable development. Land use change modeling has attracted substantial attention because it helps researchers understand the mechanisms of land use change and assists regulatory bodies in formulating relevant policies. Maotiao River Basin is located in the province of Guizhou, China, which has a developed agricultural industry in the karst mountain areas. This paper selected biophysical and social–economic factors as independent variables, and constructed a multiple logistic regression of farmland spatial distribution probability by random sampling. Then, by using GIS technology and integrating the 2000 data, this study predicted the farmland spatial pattern. When the predicted map was compared with the actual farmland map for 2000, we noted that 71% of the simulation is in accordance with the 2000 farmland pattern. The result satisfactorily proves the reasonability and applicability of our model.