干湿和冻融循环对压实黄土路用性能影响的试验研究

为研究气候环境对黄土路用性能的影响作用,通过室内CBR试验测定土样在干湿循环和冻融循环条件下的CBR值,分析不同循环条件下的P-L曲线、循环次数与CBR值的关系以及含水率与CBR值的演变规律,试验结果表明:(1)在P-L关系曲线中,循环次数一定时,贯入量随着单位压力的增加而增加;相同单位压力下,循环次数越多,试件强度越低,贯入量越大。(2)在5次干湿循环过程中,CBR值均随着循环次数的增加而降低,干湿循环作用下的CBR值与循环次数呈负线性相关,第2次干湿循环为转折点,CBR值减小值逐步增加,反复干湿循环作用下,基质吸力和孔隙结构特征是相互影响的。(3)冻融循环过程中,冻融循环作用下的CBR值与循环次数成二次方负相关,且有趋于稳定值的趋势。(4)在反复循环过程中,分析得到的变化规律为模拟黄土路基在气候环境影响下的长期演变规律研究以及实际工况提供一定的参考依据。     

CO还原NO海泡石铜族金属催化剂的研究

以改性海泡石为载体,负载IB族金属(Cu,Ag,Au),制备CO还原NO的催化剂.用正交实验确定载体海泡石的改性条件.研究考察该催化剂在有氧条件下的催化还原性能,并用XRD、TGA、H2 TPR、BET等对该催化剂进行表征.研究发现,在有氧条件下,IB族金属(Cu,Ag,Au)催化剂中,Cu 海泡石对CO还原NO反应的催化活性最好;Cu负载量为5%、灼烧温度为400℃的催化剂表现出较高的活性;Cu 海泡石催化剂中加入Ce和Sm可以改善催化剂的性能.在实验条件基本相同的情况下,Cu 海泡石的催化活性好于Cu ZSM 5催化剂.     

Mn-Cu-O负载型催化剂上CO氧化性能的研究

研究了ＺｒＯ２或Ａｌ２Ｏ３负载Ｍｎ－Ｃｕ－Ｏ体系催化剂ＣＯ催化氧化活性，以及物相结构，表面氧性能与活性的关系。结果表明，锆基催化剂的氧化活性明显优于铝基催化剂，起燃温度Ｔ５０低达５０℃，ＺｒＯ２载 利于活性组份形成高活性物相，并促进表面吸附氧的脱附，表现出催化剂表面吸附氧的脱附温度高低次序与其氧化活性有一致的对应关系。     

发光细菌对化合物的致突效应与检测研究

从明亮发光杆菌Ｔ３小种分离到的自发暗变种（Ｋ变种）Ｔ９１７１菌种对三种化合物呈致空变阳性反应，对二种化合物呈可疑阳性，发光细菌暗变种对遗传毒性化合物致突效应的灵敏度高于Ａｍｅｓ试验和浦乳动物致癌试验，可望成为一种简易灵敏的测试环境致突变物的短期生物学试验方法。     

Total nitrogen and community turnover determine phosphorus use efficiency of phytoplankton along nutrient gradients in plateau lakes

Numerous studies support that biodiversity predict most to ecosystem functioning, but whether other factors display a more significant direct impact on ecosystem functioning than biodiversity remains to be studied. We investigated 398 samples of the phytoplankton phosphorus resource use efficiency (RUE_P = chlorophyll-a concentration/dissolved phosphate) across two seasons in nine plateau lakes in Yunnan Province, China. We identified the main contributors to phytoplankton RUE_P and analyzed their potential influences on RUE_P at different lake trophic states. The results showed that total nitrogen (TN) contributed the most to RUE_P among the nine lakes, whereas community turnover (measured as community dissimilarity) explained the most to RUE_P variation across the two seasons. Moreover, TN also influenced RUE_P by affecting biodiversity. Species richness (SR), functional attribute diversity (FAD2), and dendrogram-based functional diversity (FDc) were positively correlated with RUE_P in both seasons, while evenness was negatively correlated with RUE_P at the end of the rainy season. We also found that the effects of biodiversity and turnover on RUE_P depended on the lake trophic states. SR and FAD2 were positively correlated with RUE_P in all three trophic states. Evenness showed a negative correlation with RUE_P at the eutrophic and oligotrophic levels, but a positive correlation at the mesotrophic level. Turnover had a negative influence on RUE_P at the eutrophic level, but a positive influence at the mesotrophic and oligotrophic levels. Overall, our results suggested that multiple factors and nutrient states need to be considered when the ecosystem functioning predictors and the biodiversity-ecosystem functioning relationships are investigated.     

Technological innovation paths toward green industry in China

With the environmental carrying capacity reaching its limits and the decreasing margin benefits of traditional production factors, the green transformation and green development through technological innovations has been a major direction for the future development of Chinese industries. However, the characteristics and heterogeneities of various types of industries call for different approaches regarding technological innovations. How to choose the most effective mode of technological innovation according to the characteristics of a certain industry has been a key issue. This paper measures the green total factor productivity of 32 industrial trades using the Slacks Based Measure(SBM)-DDF method. The effects of three innovation modes in the green transformation of industrial industry, including the independent innovation(Ⅱ), the technology introduction(TI), and the government support(GS), are empirically analyzed based on industry heterogeneity. Results indicate that the green total factor productivities of different industries show significant differences if taking into account the energy input and the undesirable output of pollutant emissions. The green total factor productivities of traditional high input,high pollution, and high energy consumption industrial trades were significantly lower than those with obvious green features. The year of 2009 is a leap year for the industrial green transformation in China. For resource-intensive industries, the II and the GS are the important ways to achieve green transformation. For labor-intensive industries, the TI is the best path to achieve green transformation, while for technology-intensive industries, the II is the primary driving force for the promotion of green developments. In addition, the innovation-compensating effect of the current Chinese environmental regulations to the resource-intensive industries has been revealed. Improving the overall scale and the industrial concentration of the industries is also beneficial for the green transformation of the industries.     

Effects of productivity on biodiversity in forest ecosystems across the United States and China

In the global campaign against biodiversity loss in forest ecosystems, land managers need to know the status of forest biodiversity, but practical guidelines for conserving biodiversity in forest management are lacking. A major obstacle is the incomplete understanding of the relationship between site primary productivity and plant diversity, due to insufficient ecosystem‐wide data, especially for taxonomically and structurally diverse forest ecosystems. We investigated the effects of site productivity (the site's inherent capacity to grow timber) on tree species richness across 19 types of forest ecosystems in North America and China through 3 ground‐sourced forest inventory data sets (U.S. Forest Inventory and Analysis, Cooperative Alaska Forest Inventory, and Chinese Forest Management Planning Inventory). All forest types conformed to a consistent and highly significant (P < 0.001) hump‐shaped unimodal relationship, of which the generalized coefficients of determination averaged 20.5% over all the forest types. That is, tree species richness first increased as productivity increased at a progressively slower rate, and, after reaching a maximum, richness started to decline. Our consistent findings suggest that forests of high productivity would sustain few species because they consist mostly of flat homogeneous areas lacking an environmental gradient along which a diversity of species with different habitats can coexist. The consistency of the productivity–biodiversity relationship among the 3 data sets we examined makes it possible to quantify the expected tree species richness that a forest stand is capable of sustaining, and a comparison between the actual species richness and the sustainable values can be useful in prioritizing conservation efforts.     

The data not collected on community forestry

Conservation and development practitioners increasingly promote community forestry as a way to conserve ecosystem services, consolidate resource rights, and reduce poverty. However, outcomes of community forestry have been mixed; many initiatives failed to achieve intended objectives. There is a rich literature on institutional arrangements of community forestry, but there has been little effort to examine the role of socioeconomic, market, and biophysical factors in shaping both land‐cover change dynamics and individual and collective livelihood outcomes. We systematically reviewed the peer‐reviewed literature on community forestry to examine and quantify existing knowledge gaps in the community‐forestry literature relative to these factors. In examining 697 cases of community forest management (CFM), extracted from 267 peer‐reviewed publications, we found 3 key trends that limit understanding of community forestry. First, we found substantial data gaps linking population dynamics, market forces, and biophysical characteristics to both environmental and livelihood outcomes. Second, most studies focused on environmental outcomes, and the majority of studies that assessed socioeconomic outcomes relied on qualitative data, making comparisons across cases difficult. Finally, there was a heavy bias toward studies on South Asian forests, indicating that the literature on community forestry may not be representative of decentralization policies and CFM globally.     

Revealing the impact of water conservancy projects and urbanization on hydrological cycle based on the distribution of hydrogen and oxygen isotopes in water

Environmental Science and Pollution Research - In recent years, the development and utilization of water resources have imposed great impacts on hydrological characteristics and ecological...     

Urban carbon emission intensity under emission trading system in a developing economy: evidence from 273 Chinese cities

Environmental Science and Pollution Research - The international community has generally recognized the key role of developing countries’ cities in reducing carbon emissions, an elemental way...