Methane emission via sediment and water interface in the Bohai Sea, China

Sediment is recognized as the largest reservoir and source of methane (CH₄) in the ocean, especially in the shallow coastal areas. To date, few data of CH₄ concentration in sediment have been reported in the China shelf seas. In this study, we measured CH₄ concentration in sediment and overlying seawater columns, and conducted an incubation experiment in the Bohai Sea in May 2017. CH₄ concentration was found to be ranged from 3.075 to 1.795 μmol/L in sediment, which was 2 to 3 orders of magnitude higher than that in overlying seawater columns. The surface sediment was an important source of CH₄, while bottom seawater acted as its sink. Furthermore, the net emission rate via sediment water interface (SWI) was calculated as 2.45 μmol/(m²∙day) based on the incubation experiment at station 73, and the earthquake may enhance CH₄ release from sediment to seawater column in the eastern Bohai Sea.     

矿产资源资产化管理理论和方法的分析与展望

本文全面地介绍了矿产资源资产化管理及资产评估的国内外研究现状，系统地总结了在矿产资源价值、矿产资源资产评估、矿产资源资产化管理、资源耗竭—补偿、资源核算等方面的研究成果，并对这一课题的研究提出了建议     

亚甲蓝褪色反应测定水中痕量锰

本文提出和建立了一个新的催化动力学测定痕量锰的方法。它是基于在醋酸-醋酸钠介质中,锰对高碘酸钾氧化亚甲蓝褪色反应所具有的催化效应。在最佳条件下,用固定时间法,可测5—80ng/27ml范围内的锰。应用于水样测定,获得满意结果     

铁屑法处理活性染料废水的实验研究

研究了反应时间、染料浓度、进水pH以及不同的废铸铁屑投加量的条件下，废铸铁屑内电解法处理模拟印染废水的脱色能力。并采用铁屑滤床强化厌氧一好氧膜生物反应器（A／OMBR）处理含活性染料的模拟废水。研究结果表明，铁屑对模拟印染废水的最佳脱色时间为12min，酸性条件下铁屑的脱色率优于碱性条件．随铁屑投加量的增加，系统对印染废水的脱色率提高，铁屑滤床强化A／OMBR处理可以提高组合工艺出水色度和COD的去除率。     

微量溴仿的示波极谱测定

在0.40mol/L乙二胺介质中,溴仿在示波极谱仪上于-0.23V处可观察到一灵敏的极谱波.溴仿的浓度在1.00×10~(-7)～2.00×10~(-4)mol/L范围内与波高有线性关系.方法检出限为5.00×10~(-8)mol/L.利用本方法测定试样中的溴仿,结果令人满意.     

下吸式气化炉处理城市生活垃圾

下吸式气化炉具有原料适应性好，燃气中焦油含量少的特点。使用下吸式气化炉对广州城市生活垃圾进行了空气气化实验，并对燃气成分、焦油含量和灰渣重金属含量进行了分析。分析结果表明：燃气气体热值可达4600kJ／m^3，燃气焦油含量为2．0g／m^3。另外，对灰渣中的金属成分也进行了分析。试验结果表明：下吸式气化炉是处理复杂城市生活垃圾的一种有效手段。     

Bioaccumulation and changes of trace metals over the last two decades in marine organisms from Guangdong coastal regions, South China

Trace metal (Cr, Ni, Cu, Zn, Cd and Pb) exposures, distribution and bioaccumulation were investigated in marine organisms from Guangdong coastal regions, South China. The results showed that all of the selected metals were observed in marine organisms with a predomination of Cu and Zn. The metal exposure levels exhibited obvious variations between species with the decreasing order of crab>shellfish>shrimp>fish. The higher metals enrichment seen in shellfish and crab species primarily attributed to their living habits and the higher sediment background values of trace metals. Endpoint bioaccumulation factor (BAF_fd) was used to characterize the bioaccumulation potentials of marine organisms to trace metals, of which Cu and Zn were the most accumulated elements. The exposure of trace metals in the cultured organisms was far lower than those in wild marine organisms, which is probably due to the effect of growth dilution. Comparisons with previous studies demonstrated that the concentration profiles of most trace metals declined over the last one to two decades, except Cu, that increased indistinctively.     

Attribution assessment and projection of natural runoff change in the Yellow River Basin of China

Climate variability and human activities are two driving factors in the hydrological cycle. The analysis of river basin hydrological response to this change in the past and future is scientifically essential for the improvement of water resource and land management. Using a water balance model based on Fu’ equation, the attribution of climate variability and land-use/land-cover change (LUCC) for natural runoff decrease was quantitatively assessed in the Yellow River Basin (YRB). With five general circulation model (GCM) s’ output provided by The Inter-Sectoral Impact Model Intercomparison Project (ISI-MIP), future runoff in the context of climate change was projected. The results show that (1) compared with other distributed hydrological models, the water balance model in this study has fewer parameters and simpler calculation methods, thus having advantages in hydrological simulation and projection in large scale; (2) during the last 50 years, the annual precipitation and runoff have decreased, while the mean temperature has increased in the YRB. The decrease of natural runoff between natural period (1961 to 1985) and impacted period (1986 to 2011) could be attributed to 27.1–49.8 and 50.2–72.9% from climate variability and LUCC, respectively. As the LUCC is the major driving factor of the decrease in the upper and middle reaches of the YRB, policymakers could focus on water resources management. While climate variability makes more contribution in the middle and lower reaches of the YRB, it is essential to study the impact of future climate change on water resources under different climate change scenarios, for planning and management agencies; (3) temperature and precipitation in the YRB were predicted to increase under RCP4.5. It means that the YRB will become warmer and wetter in the future. If we assume the land-use/land-cover condition during 2011 to 2050 is the same as that during 1986 to 2011, future annual average natural runoff in the YRB will increase by 14.4 to 16.8%. However, future runoff will still be lower than the average value during 1961 to 1985. In other words, although future climate change will cause the increase of natural runoff in the YRB, the negative effect of underlying surface condition variation is stronger. It is necessary to promote the sustainable development and utilization of water resources and to enhance adaptation capacity so as to reduce the vulnerability of the water resources system to climate change and human activities.