城市内河生态修复的技术对策及实证

本文初步探讨了城市内河生态修复的技术对策,并以2012年度慈溪市城区河道生态修复工程为实例,分析了生物膜技术、水生植物净化技术、微生物循环驯化技术、河道造流曝气技术等方法。研究结果表明:通过内河生态修复,慈溪市城市内河在水质指标、水体净化、景观生态等方面都有所改善,而且具有良好的社会和经济效益。     

浅谈铁岭地区风电场生态修复技术要求

风能作为一种清洁能源越来越受到重视,但风电场建设对生态环境的影响也不能忽视,开展风电场生态修复具有重要意义.概述了铁岭地区生态环境特点和风电场待修复的环境类型,据此提出了该地区开展风电场生态修复的目标、原则及技术要求.     

茚虫威在土壤中的消解动态研究

茚虫威是一种广谱高效的氨基甲酸酯类杀虫剂,低毒低残留。采用气相色谱法对茚虫威在土壤中的残留进行分析,采用田间试验方法研究了茚虫威在土壤中的消解动态。结果表明,茚虫威在土壤中消解较快,其残留消解动态曲线符合化学反应一级动力学方程,在土壤中的半衰期为7.6天。说明茚虫威使用后在环境(土壤)中可以较快地消解,从而可以较好地保障生产安全。     

不同16SrDNA靶序列对DGGE分析活性污泥群落的影响

为探讨不同通用引物扩增16S rDNA靶序列对活性污泥微生物群落分析的影响,更合理的利用变性梯度凝胶电泳(DGGE)技术分析活性污泥样品.从连续流搅拌槽式反应器(CSTR)中获取活性污泥,以3对通用引物341f/534r、968f/1 401r和341f/926r扩增16S rDNA序列,用DGGE分离PCR扩增产物.研究表明采用不同引物对进行DGGE分析时,群落多样性和动态存在显著的差异.341f/534r和968f/1 401r的靶序列分离效果较好,341f/926r的靶序列分离效果较差.引物341f/534r和341f/926r DGGE图谱显示S2和S3相似性高,引物968f/1 401r DGGE图谱显示S1和S2相似性高.由此可见采用不同引物对进行DGGE分析时,群落结构之间的相似性和动态是不一致的.341f/534r的DGGE图谱中条带丰富,多样性最好,968f/1 401r的DGGE图谱次之,341f/926r DGGE图谱条带最少,多样性也较差.因此,在利用DGGE分析活性污泥样品时采用引物341f/534r和968f/1 401r是比较适宜的.     

Individual-based modelling of fishermen search behaviour with neural networks and reinforcement learning

A model to mimic the search behaviour of fishermen is built with two neural networks to cope with two separate decision-making processes in fishing activities. One neural network deals with decisions to stay or move to new fishing grounds and the other is constructed for the purpose of finding prey within the fishing areas. Some similarities with the behaviour of real fishermen are found: concentrated local search once a prey has been located to increase the probability of remaining near a prey patch and the straightforward movement to other fishing grounds. The artificial fisherman prefers areas near the port when conditions in different fishing grounds are similar or when there is high uncertainty in its world. In the latter case a reluctance to navigate to other areas is observed. The artificial fisherman selects areas with higher concentration of prey, even if they are far from the port of departure, unless a high uncertainty is related to the fishing ground. Connected areas are preferred and followed in orderly fashion if a higher catch is expected. The observed behaviour of the artificial fisherman in uncertain scenarios can be described as a risk-averse attitude. The approach seems appropriate for an individual-based modelling of fishery systems, focusing on the learning and adaptive characteristics of fishermen and on interactions that take place at a fine scale.     

Negotiating Indigenous knowledge at the science-policy interface: Insights from the Xáxli’p Community Forest

Despite increasing interest in learning from Indigenous communities, efforts to involve Indigenous knowledge in environmental policy-making are often fraught with contestations over knowledge, values, and interests. Using the co-production of knowledge and social order (Jasanoff, 2004), this case study seeks to understand how some Indigenous communities are engaging in science-policy negotiations by linking traditional ecological knowledge (TEK), western science, and other knowledge systems. The analysis follows twenty years of Indigenous forest management negotiations between the Xáxli’p community and the Ministry of Forests in British Columbia (B.C.), Canada, which resulted in the Xáxli’p Community Forest (XCF). The XCF is an eco-cultural restoration initiative that established an exclusive forest tenure for Xáxli’p over the majority of their aboriginal territory—a political shift that was co-produced with new articulations of Xáxli’p knowledge. This research seeks to understand knowledge co-production with Indigenous communities, and suggests that existing knowledge integration concepts are insufficient to address ongoing challenges with power asymmetries and Indigenous knowledge. Rather, this work proposes interpreting XCF knowledge production strategies through the framework of “Indigenous articulations,” where Indigenous peoples self-determine representations of their identities and interests in a contemporary socio-political context. This work has broader implications for considering how Indigenous knowledge is shaping science-policy negotiations, and vice versa.     

Impact of Carbon Storage Through Restoration of Drylands on the Global Carbon Cycle

   Using estimates of land suitable for restoration in woodlands, grasslands, and deserts, as well as estimates of the rate at which restoration can proceed, we estimate that carbon storage in these biomes can range up to 0.8 billion tons of carbon per year (Gt C/yr), for a combination of land management strategies. This corresponds to a reduction in atmospheric buildup of 0.5 Gt C/yr, which represents up to 15% of the average annual atmospheric carbon buildup in the next century, 3.5 Gt C/yr, assuming the IPCC 92d scenario. A global strategy for reducing atmospheric carbon dioxide concentration will require the implementation of multiple options. The advantage of carbon storage in restored drylands is that it comes as a side benefit to programs that are also justifiable in terms of land management.     

Concentrations of long-lived artificial radionuclides in the moss-lichen cover of mountain plant communities

Specific features of⁹⁰Sr and¹³⁷Cs accumulation in individual lichen species and in the moss-lichen cover of plant communities were studied in some mountain ranges of the Polar and Northern Urals. The results showed that the amounts of radionuclides in lichens and mosses of mountain plant communities are at the level characteristic of the moss-lichen cover of flat ecosystems, and their accumulation depends on⁹⁰Sr and¹³⁷Cs input with the global radioactive fallout. The radionuclide contents in lichens and mosses sampled from different mountain rocks, slopes, and elevations fluctuate around this level. The differences depend both on the structural and functional properties of plants and on the climatic and ecological features of their environment.     

An alternative CFD tool for gas dispersion modelling of heavy gas

The numerical simulation of gas dispersion is of great importance in various areas of engineering such as optimisation, synthesis of chemical process, petroleum industry and process safety. The OpenFOAM (Open Field Operation and Manipulation) code is a free and open source computational fluid dynamics (CFD) program. The current research is focused on the development and customisation of a computational tool for handling gas dispersion of heavy gases, such a LNG and CO₂. The novel CFD tool relies on OpenFOAM framework. The core of the work is based on the OpenFOAM solver rhoReactingBuoyantFoam to handle gas dispersion. A series of CFD simulations has been performed for methane and CO₂. The source term of the former is modelled by HSM (Hybrid Switch Model). The model comprises contribution from HEM (Homogeneous Equilibrium Model) approach, frozen model and non-equilibrium model for CO₂ leak. The novel approach switches between equilibrium and non-equilibrium conditions based on the meta-stable parameter on the grounds of thermodynamics and experimental observations. Good agreement with experimental data is observed. Numerical findings for methane leakage from the proposed CFD tool are compared with experimental data and FLACS. Good agreement is observed.