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81.
基于我国法制建设的要求以及市场经济建设过程中所面临的问题,从法律角度出发探讨了我国环境管理制度中的“限期治理制度”,包括其性质及与其他环境管理制度的关系等。从立法上对此制度的完善作了探讨。 相似文献
82.
北太平洋柔鱼渔场时空分布与海洋环境要素的研究 总被引:9,自引:0,他引:9
根据2010 年7~9月和2011年7~10月“舟渔1301#” 2个航次的北太平洋柔鱼渔场海上调查资料,利用渔获生产数据?海况天气数据以及同期的卫星遥感获取的海表面温度(SST) ?海表盐度(SSS)及叶绿素a (Chl-a)浓度和海流等数据,分析柔鱼的中心渔场分布与海洋环境的变动关系.研究结果显示:整个调查期间渔获频次在SST和Chl-a因子上均呈正态分布,渔场高产的最适SST范围为18~20℃, 最适SSS范围为33.60‰~34.80‰, 最适Chl-a浓度范围为0.08~0.24mg/m3,其中SST与柔鱼渔场之间有较好的匹配关系,中心渔场通常位于18~20℃的等温线附近,且位置一般出现在冷水团和暖水团交汇区的冷水团一侧;中心渔场位于亲潮和黑潮交汇混合区的向北一侧,离交汇地带的距离较近,而且随着时间的推移,渔汛期间中心渔场的位置逐步往其向西北方向移动.总体上多个环境因子皆可作为确定潜在中心渔场的指标,但以海表水温为最佳,另外辅助寒?暖流的交汇情况以及Chl-a浓度?天气海况等因素来综合分析,判断渔场的中心位置会更准确. 相似文献
83.
降解芘的分枝杆菌M11的分离鉴定和降解特性 总被引:4,自引:1,他引:4
从多环芳烃污染的土壤中分离到1株能高效降解四环芳烃芘的放线菌M11,经形态观察、生理生化和16S rDNA鉴定,属于分枝杆菌属(Mycobacterium sp.).菌株M11能以菲、蒽、荧蒽和芘为唯一碳源生长,在含芘50、100和200 mg/L的无机盐液体培养基中培养16 d降解率分别达到76.9%、91.8%和79.23%.菌株M11对芘的降解具有较广泛的pH范围,在芘浓度100 mg/L,pH为5~9的液体条件下,均可生长.根据已报道的芘降解菌的双加氧酶同源序列设计引物,PCR扩增出编码双加氧酶大亚基和小亚基的基因片段,序列分析表明与已知降解芘的分枝杆菌的双加氧酶基因具有高度同源性. 相似文献
84.
蚯蚓细胞色素P450酶系对土壤中芘或苯并[a]芘的响应 总被引:1,自引:0,他引:1
以赤子爱胜蚓(Eisenia fetida)为受试生物,通过人工污染草甸棕壤微宇宙试验方法,研究了暴露于不同环境浓度芘或苯并[a]芘(添加量分别为0.12、0.24、0.48、0.96 mg·kg~(-1))污染的土壤中14 d后,蚯蚓体内细胞色素P450(CYPs)酶系,如CYPs总量、CYP1A1及CYP2C9活性的变化.结果显示,芘或苯并[a]芘暴露导致蚯蚓CYPs总量、CYP1A1及CYP2C9活性的变化不同.其中,CYPs总量与CYP1A1活性对芘的响应趋势相似:试验3 d后,0.96 mg·kg~(-1)芘导致二者都显著高于对照水平;14 d后,都显著低于对照水平;CYP1A1活性对芘的响应更为敏感.CYPs总量与CYP2C9活性对苯并[a]芘的响应趋势相似:暴露初期,苯并[a]芘最高暴露剂量(0.96 mg·kg~(-1))导致二者都显著低于对照水平;试验结束后,苯并[a]芘最低暴露剂量(0.12 mg·kg~(-1))导致二者都显著高于对照水平,最高剂量暴露导致二者都显著低于对照水平,CYP2C9活性对苯并[a]芘的响应更为敏感.因此,推断CYPs亚酶对污染物的响应具有选择性且亚酶的响应敏感度高于CYPs总量.将CYPs总量与CYP1A1活性结合,或与CYP2C9活性结合分别诊断土壤芘污染或并[a]芘污染,较为准确有效. 相似文献
85.
遵循可持续发展的原则,针对经济欠发达地区的水环境污染现状,提出了兴建产业化的污水处理生态工程,科学地发展污灌,既有效地改善了京杭运河(徐州段)的水环境质量,又使徐州市城市污水得以资源化利用,对促进环境与社会经济协调发展具有积极意义。 相似文献
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87.
Suwei Zhang Qijie Zhang Armand Albergel Didier Buty Liangmin Yu Haiting Wang Wuxia Bi Peng Cheng Fu Chen Jun Fang Ruirui Hou Xudong Luan Changgan Shu Jingjing Su 《环境科学学报(英文版)》2018,30(9):119-126
Particulate matter(PM) in the Kunshan High-Tech zone is studied during a three-month campaign. PM and trace elements are measured by the online pollution monitoring, forecastwarning and source term retrieval system AS3. Hourly measured concentrations of PM_(10), PM_(2.5) and 16 trace elements in the PM_(2.5) section(Ca, Pb, Cu, Cl, V, Cr, Fe, Ti, Mn, Ni, Zn, Ga, As, Se, Sr, Ba)are focused. Source apportionment of trace elements by Positive Matrix Factorization modeling indicates that there are five major sources, including dust, industrial processing, traffic,combustion, and sea salt with contribution rate of 23.68%, 21.66%, 14.30%, 22.03%, and 6.89%,respectively. Prediction of plume dispersion from concrete plant and traffic emissions shows that PM_(10) pollution of concrete plant is three orders of magnitude more than that of the traffic. The influence range can extend to more than 3 km in 1 hr. Because the footprint of the industrial plumes is constantly moving according to the local meteorological conditions, the fixed monitoring sites scattered in a few hundred meters haven't captured the heaviest pollution plume at the local scale of a few km~2. As a more intensive monitoring network is not operationally possible, the use of online modeling gives accurate and quantitative information of plume location, which increases the spatial pollution monitoring capacity and improves the understanding of measurement data. These results indicate that the development of the AS3 system, which combines monitoring equipment and air pollution modeling systems, is beneficial to the real-time pollution monitoring in the industrial zone. 相似文献
88.
Mathew J. Hardy James A. Fitzsimons Sarah A. Bekessy Ascelin Gordon 《Conservation biology》2018,32(2):276-286
Finding sustainable ways to increase the amount of private land protected for biodiversity is challenging for many conservation organizations. In some countries, organizations use revolving‐fund programs, whereby land is purchased and then sold to conservation‐minded owners under condition they enter into a conservation covenant or easement. The sale proceeds are used to purchase, protect, and sell additional properties, incrementally increasing the amount of protected private land. Because the effectiveness of this approach relies on selecting appropriate properties, we explored factors currently considered by practitioners and how these are integrated into decision making. We conducted exploratory, semistructured interviews with managers from each of the 5 major revolving funds in Australia. Responses indicated although conservation factors are important, financial and social factors are also highly influential. A major determinant was whether the property could be resold within a reasonable period at a price that replenishes the fund. To facilitate resale, often selected properties include the potential for the construction of a dwelling. Practitioners face with clear trade‐offs between conservation, financial, amenity, and other factors in selecting properties and 3 main challenges: recovering the costs of acquisition, protection, and resale; reselling the property; and meeting conservation goals. Our findings suggest the complexity of these decisions may constrain revolving‐fund effectiveness. Drawing from participant responses, we identified potential strategies to mitigate these risks, such as providing adequate recreational space without jeopardizing ecological assets. We suggest managers could benefit from a shared‐learning and adaptive approach to property selection given the commonalities between programs. Understanding how practitioners deal with complex decisions in the implementation of revolving funds helps identify future research to improve the performance of this conservation tool. 相似文献
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