CDIO工程教育模式在高职创业教育中的应用研究——以中国环境管理干部学院为例

创业教育现在已成为我国高等职业教育中的重要一环。高职院校往往开设一门创业教育课程,试图通过该课程达到创业教育的目的,课程过分迷信＂说教、讲授＂的力量,而毕业生创业能力并没有得到预期的培养。通过借鉴CDIO工程教育模式,提出了创业教育应该以创业能力为培养目标,参照CDIO模式的12项标准进行模块化课程开发,通过CDIO循环提高学生的创业综合能力。     

蚯蚓对重金属污染土壤中铅的富集研究

蚯蚓在陆地生态系统中具有十分重要的功能,利用蚯蚓处理重金属污染土壤是一种新型的绿色生物技术。实验通过测定重金属污染土壤中不同铅浓度梯度下蚯蚓在培养期内对铅富集量的研究,结果表明：蚯蚓对铅有较强的富集作用,且随铅浓度的增加,蚯蚓体内的富集量也增加;单住质量蚯蚓培养期内吸收铅量与铅浓度梯度表现出极显著性差异,说明蚯蚓可以作为检测重金属污染土壤中铅的重要生物指标,论证了在重金属污染土壤动物修复中引入蚯蚓的可行性。     

近40年湖南冰雹时空分布和变化特征及机理分析

利用湖南省1967～2006年近四十年冰雹日数资料,分析了湖南冰雹时空分布特征,着重讨论了湖南冰雹日数年代、年、季、月、旬、日际变化、地域分布特征及湖南前后二十年冰雹的变化趋势。研究表明：湖南冰雹是典型的春雹区,春季冰雹日数占全年冰雹日数的74．9％;存在2年和4．8年的周期;日变化十分明显,多出现在午后到傍晚;地理分布呈西多东少,高山多于平原,洞庭湖北侧多于南侧的特点;近二十年冰雹呈减少趋势,多雹区更集中,主要出现在湘西北和湘东南。     

经济发展与农业面源污染：分解模型与实证研究

借鉴Islam的研究思路,构建农业面源污染影响因素分解的理论模型。并利用1990～2010年省际面板数据进行实证研究,探讨农业面源污染演变的内在驱动机制,以期为农业面源污染控制和管理提供理论依据。主要研究结论如下：（1）农业面源污染演变受规模效应、结构效应和减污效应的共同影响;（2）规模效应对农业面源污染的影响为正,这说明农业生产规模和农村人口规模的扩大会增大农业面源污染的排放。结构效应的两个重要方面（经济作物比重的提高和畜禽养殖业产值比重的提高）都会导致农业面源污染的加剧。技术进步和经济发展的减污效应开始初步发挥,二者都能有效减少农业面源污染,这为实现农业生产与生态环境的协调发展提供了可能     

Spatial-temporal analysis of wetland landscape pattern under the influence of artificial dykes in the Yellow River delta

The influence of anthropogenic activities,especially artificial dykes,on the coastal wetland landscape is now considered as a serious problem to the coastal ecosystem.It is important and necessary to analyze changes of coastal landscape pattern under the influence of artificial dykes for the protection and management of coastal wetland.Our study aimed to reveal the quantitative characteristics of the coastal wetland landscape and its spatial-temporal dynamics under the influence of artificial dykes in the Yellow River delta(YRD).It was analyzed by the methods of the statistical analysis of landscape structure,five selected landscape indices and the changes of spatial centroids of three typical wetland types,including reed marshes,tidal fiats and aquaculture-salt fields.The results showed that:(1)Reduction of wetland area,especially the degradation of natural wetlands,had been the principal problem since the dykes were constructed in the YRD.The dykes created conditions for the development of artificial wetlands.However,the new born artificial wetlands were still less than the vanished natural wetlands.(2)Compared with the open area,the building of artificial dykes significantly speeded up the changes of landscape patterns and the aggravation of the landscape fragmentation in the closed area.(3)The changes of area-weighted centroids of three typical wetland landscapes were greatly affected by dykes,and the movement of the centroid of the aquaculture-salt field was very sensitive to the dykes constructed in the corresponding period.     

Urbanization in China Based on International Comparison: A Discussion with Two Prevalent Views

Abstract>

Two prevalent views are reviewed on China’s urbanization firstly. Then, this article highlights the characteristics and pattern of urbanization in the world based on the quadrants map, using data of 118 countries or areas. The results indicate that the process of urbanization in the world excluding the data of China has slowed down gradually. A further exploration examines China’s urbanization process and economic development over time, which reveals that both urbanization level and the level of economic development belong to the low-grade coordination pattern. The low level of urbanization is closely connected with the low level of economic development. Actually, China’s urbanization gap appeared during 1985–1995, but it has been eliminating this urbanization gap since 1995 as a result of rapid urbanization growing. The complicated realities revealed in this analysis challenge the existing two prevalent views.     

清洁发展机制与中国对策

清洁发展机制是应对气候变化国际法律制度之下的补充性履约措施。通过阐述清洁发展机制的渊源、清洁发展机制的实质内涵和基本特征,总结中国清洁发展机制项目实践,揭示中国应用清洁发展机制的偏差,预测清洁发展机制发展方向,指出中国将被迫退出清洁发展机制,提出中国面向清洁发展机制的具体对策。     

Rank regression analysis of correlated water quality data from South East Queensland

With growing population and fast urbanization in Australia, it is a challenging task to maintain our water quality. It is essential to develop an appropriate statistical methodology in analyzing water quality data in order to draw valid conclusions and hence provide useful advices in water management. This paper is to develop robust rank-based procedures for analyzing nonnormally distributed data collected over time at different sites. To take account of temporal correlations of the observations within sites, we consider the optimally combined estimating functions proposed by Wang and Zhu (Biometrika, 93:459–464, 2006) which leads to more efficient parameter estimation. Furthermore, we apply the induced smoothing method to reduce the computational burden. Smoothing leads to easy calculation of the parameter estimates and their variance-covariance matrix. Analysis of water quality data from Total Iron and Total Cyanophytes shows the differences between the traditional generalized linear mixed models and rank regression models. Our analysis also demonstrates the advantages of the rank regression models for analyzing nonnormal data.     

Comprehensive and high-resolution emission inventory of atmospheric pollutants for the northernmost cities agglomeration of Harbin-Changchun, China: Implications for local atmospheric environment management

Using a bottom-up estimation method, a comprehensive, high-resolution emission inventory of gaseous and particulate atmospheric pollutants for multiple anthropogenic sectors with typical local sources has been developed for the Harbin-Changchun city agglomeration (HCA). The annual emissions for CO, NOx, SO₂, NH₃, VOC_S, PM_2.5, PM₁₀, BC and OC during 2017 in the HCA were estimated to be 5.82 Tg, 0.70 Tg, 0.34 Tg, 0.75 Tg, 0.81Tg, 0.67 Tg, 1.59 Tg, 0.12 Tg and 0.26 Tg, respectively. For PM₁₀ and SO₂, the emissions from industry processes were the dominant contributors representing 54.7% and 49.5%, respectively, of the total emissions, while 95.3% and 44.5% of the total NH₃ and NOx emissions, respectively, were from or associated with agricultural activities and transportation. Spatiotemporal distributions showed that most emissions (except NH₃) occurred in November to March and were concentrated in the central cities of Changchun and Harbin and the surrounding cities. Open burning of straw made an important contribution to PM_2.5 in the central regions of the northeastern plain during autumn and spring, while domestic coal combustion for heating purposes was significant with respect to SO₂ and PM_2.5 emissions during autumn and winter. Furthermore, based on Principal Component Analysis and Multivariable Linear Regression model, air temperature, relative humidity, electricity and energy consumption, and the urban and rural population were optimized to be representative indicators for rapidly assessing the magnitude of regional atmospheric pollutants in the HCA. Such indicators and equations were demonstrated to be useful for local atmospheric environment management.     

Spatiotemporal variations of ambient air pollutants and meteorological influences over typical urban agglomerations in China during the COVID-19 lockdown

To investigate the air quality change during the COVID-19 pandemic, we analyzed spatiotemporal variations of six criteria pollutants in nine typical urban agglomerations in China using ground-based data and examined meteorological influences through correlation analysis and backward trajectory analysis under different responses. Concentrations of PM_2.5, PM₁₀, NO₂, SO₂ and CO in urban agglomerations respectively decreased by 18%–45% (30%–62%), 17%–53% (22%–39%), 47%-64% (14%–41%), 9%–34% (0%–53%) and 16%-52% (23%–56%) during Lockdown (Post-lockdown) period relative to Pre-lockdown period. PM_2.5 pollution events occurred during Lockdown in Beijing-Tianjin-Hebe (BTH) and Middle and South Liaoning (MSL), and daily O₃ concentration rose to grade Ⅱ standard in Post-lockdown period. Distinct from the nationwide slump of NO₂ during Lockdown period, a rebound (～40%) in Post-lockdown period was observed in Cheng-Yu (CY), Yangtze River Middle-Reach (YRMR), Yangtze River Delta (YRD) and Pearl River Delta (PRD). With slightly higher wind speed compared with 2019, the reduction of PM_2.5 (51%–62%) in Post-lockdown period is more than 2019 (15%–46%) in HC (Harbin-Changchun), MSL, BTH, CP (Central Plain) and SP (Shandong-Peninsula), suggesting lockdown measures are effective to PM_2.5 alleviation. Although O₃ concentrations generally increased during the lockdown, its increment rate declined compared with 2019 under similar sunlight duration and temperature. Additionally, unlike HC, MSL and BTH, which suffered from additional (> 30%) air masses from surrounding areas after the lockdown, the polluted air masses reaching YRD and PRD mostly originated from the long-distance transport, highlighting the importance of joint regional governance.