Effects of elevated CO2 concentration and nitrogen supply on biomass and active carbon of freshwater marsh after two growing seasons in Sanjiang Plain, Northeast China

An experiments were carried out with treatments differing in nitrogen supply (0, 5 and 15 g N/m²) and CO₂ levels (350 and 700 μmol/mol) using OTC (open top chamber) equipment to investigate the biomass of Calamagrostis angustifolia and soil active carbon contents after two years. The results showed that elevated CO₂ concentration increased the biomass of C. angustifolia and the magnitude of response varied with each growth period. Elevated CO₂ concentration has increased aboveground biomass by 16.7% and 17.6% during the jointing and heading periods and only 3.5% and 9.4% during dough and maturity periods. The increases in belowground biomass due to CO₂ elevation was 26.5%, 34.0% and 28.7% during the heading, dough and maturity periods, respectively. The responses of biomass to enhanced CO₂ concentrations are differed in N levels. Both the increase of aboveground biomass and belowground biomass were greater under high level of N supply (15 g N/m²). Elevated CO₂ concentration also increased the allocation of biomass and carbon in root. Under elevated CO₂ concentration, the average values of active carbon tended to increase. The increases of soil active soil contents followed the sequence of microbial biomass carbon (10.6%) > dissolved organic carbon (7.5%) > labile oxidable carbon (6.6%) > carbohydrate carbon (4.1%). Stepwise regressions indicated there were significant correlations between the soil active carbon contents and plant biomass. Particularly, microbial biomass carbon, labile oxidable carbon and carbohydrate carbon were found to be correlated with belowground biomass, while dissolved organic carbon has correlation with aboveground biomass. Therefore, increased biomass was regarded as the main driving force for the increase in soil active organic carbon under elevated CO₂ concentration.     

Effects of elevated CO2 concentration and nitrogen supply on biomass and active carbon of freshwater marsh after two growing seasons in Sanjiang Plain, Northeast China

An experiments were carried out with treatments di ering in nitrogen supply (0, 5 and 15 g N/m2) and CO2 levels (350 and 700 mol/mol) using OTC (open top chamber) equipment to investigate the biomass of Calamagrostis angustifolia and soil active carbon contents after two years. The results showed that elevated CO2 concentration increased the biomass of C. angustifolia and the magnitude of response varied with each growth period. Elevated CO2 concentration has increased aboveground biomass by 16.7% and 17.6% during the jointing and heading periods and only 3.5% and 9.4% during dough and maturity periods. The increases in belowground biomass due to CO2 elevation was 26.5%, 34.0% and 28.7% during the heading, dough and maturity periods, respectively. The responses of biomass to enhanced CO2 concentrations are di ered in N levels. Both the increase of aboveground biomass and belowground biomass were greater under high level of N supply (15 g N/m2). Elevated CO2 concentration also increased the allocation of biomass and carbon in root. Under elevated CO2 concentration, the average values of active carbon tended to increase. The increases of soil active soil contents followed the sequence of microbial biomass carbon (10.6%) > dissolved organic carbon (7.5%) > labile oxidable carbon (6.6%) > carbohydrate carbon (4.1%). Stepwise regressions indicated there were significant correlations between the soil active carbon contents and plant biomass. Particularly, microbial biomass carbon, labile oxidable carbon and carbohydrate carbon were found to be correlated with belowground biomass, while dissolved organic carbon has correlation with aboveground biomass. Therefore, increased biomass was regarded as the main driving force for the increase in soil active organic carbon under elevated CO2 concentration.     

北京夏季大气HONO的监测研究

在2007-08-14～2007-08-24期间,利用差分光学吸收光谱（DOAS）技术,对北京市大气中HONO、NO₂和O₃等污染物进行了连续监测,分析了HONO和NO₂的日变化特征,讨论了夜间直接排放对HONO来源的贡献,进行了24 h和夜间13 h HONO非均相反应形成与黑碳气溶胶（BC）和相对湿度（RH）等要素的相关分析.结果表明,HONO和NO₂均在01:00左右达到峰值,HONO的另一峰值浓度出现在06:00,比NO₂第2个峰值出现时间07:00早1 h;夜间（19:00～次日07:00）直接排放对HONO的贡献最大达到31.3％,出现在20:00,平均贡献为15％;夜间HONO_corr/NO₂比率与BC和RH具有非常明显的相关性,说明HONO的非均相生成速率与NO₂的浓度以及反应介质BC表面的吸附水的浓度即RH成正比,得到夜间HONO平均转化率(HONO/NO₂)为0.8%·h^-1;而且RH的增加对HONO的非均相形成有利,但是当RH>80%对反应也将产生抑制作用,通过对监测期间的个例分析也证实了这一假设.     

盐度对刺参(Apostichopus japonicus)消化酶活力的影响

以刺参(Apostichopus japonicus)为实验对象,分别设置5个盐度水平(23、26、29、32和35),采用酶活性分析的方法比较研究了在不同盐度的养殖环境下,刺参消化道内前肠和中肠不同部位蛋白酶、淀粉酶和脂肪酶3种消化酶活性的差异.结果表明,盐度对刺参消化酶活性影响显著(P<0.05).蛋白酶活力在盐度...     

山东近海黄海段营养盐结构对初级生产力的影响研究

于2006年8月(夏季)、2006年12月(冬季)、2007年4月(春季)、2007年10月(秋季)对山东近海黄海段的初级生产力和营养盐结构进行了调查.结果显示:(1)调查海域初级生产力的年平均值为438 mg/(m(2)·d),并呈现出"春季>夏季>秋季>冬季"的变化趋势;调查海区的营养盐结构表现出明显的季节分化:春...     

铝工业链中铝灰渣的危险废物特性与管理建议

为了明确铝灰渣的环境危害特征,于2019年4月和9月分别对广西典型铝冶炼、加工、再生企业进行了调查。利用铝灰渣与水反应的氨气释放率测定分光光度法等方法,对不同环节产生铝灰渣的浸出毒性、反应性、腐蚀性、易燃性进行评价分析。结果表明,铝灰渣浸出液中主要危害因子是氟化物,而非金属元素。氟化物质量浓度为2~1370 mg/L,原铝冶炼环节所产生的铝灰渣质量浓度最高。铝合金加工原辅料和末端处理方式会改变氟化物浸出质量浓度。铝灰渣反应性的氨气释放率为3.3~6.0 mg/kg,释放率和环境风险属于较低水平。铝灰渣在纯水中浸出液pH值为8.65~11.98,不具备腐蚀性;在1200℃条件下无法点燃,不具备易燃性。氟化物浸出和氨气释放是铝灰渣最需防范的环境危害,可作为其分类管理和无害化处置的依据。     

2000~2020年西南地区植被NDVI对气候变化和人类活动响应特征

研究植被变化及其对气候变化和人类活动的响应机制,对区域生态保护和植被恢复具有重要现实意义.利用MODIS NDVI数据、基于站点的气象数据和土地利用数据,结合Theil-Sen Median趋势分析、Mann-Kendall显著性分析、残差分析、偏相关分析和复相关分析等方法,基于不同地貌单元,分析2000～2020年中国西南地区植被覆盖时空演变特征及其对气候和土地利用变化的响应特征.结果表明,2000～2020年西南地区植被NDVI整体呈波动上升趋势,上升斜率在空间上呈东南高和西北低的分异格局.气候变化和人类活动对西南地区植被NDVI上升均以促进作用为主,且对广西丘陵植被生长的促进作用强于其他地貌单元.2000～2020年间西南地区植被NDVI与气温和降水呈正相关,与相对湿度和日照时数呈负相关,且温度是影响西南地区植被NDVI变化的气候主导因子.城市扩张在一定程度上减少了区域植被覆盖,但得益于适宜的气候条件以及林业生态工程的实施,西南地区整体植被覆盖以上升为主.研究结果可为西南地区生态保护及经济可持续发展提供科学依据.     

2000~2020年长江流域植被NDVI动态变化及影响因素探测

研究植被动态变化并探测驱动其变化的影响因素,对区域生态环境质量监测和林业恢复工程效应评估具有重要现实意义.利用MODIS NDVI数据、基于站点的气象数据、DEM数据、人口密度数据和夜间灯光数据等,结合Theil-Sen Median斜率估计、Mann-Kendall显著性检验、稳定性分析和地理探测器,在多时空尺度下分析2000～2020年长江流域植被NDVI时空演变特征及稳定性,并探测驱动植被NDVI空间分异的主要影响因素.结果表明,2000～2020年长江流域植被NDVI整体呈波动上升趋势.除太湖水系外,其余流域单元植被NDVI均呈上升趋势.长江流域植被NDVI呈上升趋势的面积占84.09%,其中,呈极显著上升和显著上升的区域占53.67%,主要分布在乌江、宜宾至宜昌、嘉陵江、汉江和洞庭湖水系.除金沙江石鼓以上和太湖水系植被NDVI稳定性较差以外,其他流域单元植被NDVI整体较为稳定.海拔是影响各流域单元植被生长的重要因素,而气候因子对金沙江石鼓以上植被NDVI的影响程度最高,人文因子对乌江、湖口以下干流和太湖水系植被NDVI影响最大.长江流域影响因素双因子交互作用均表现为双因子增...     

智能电能表检定装置集中控制系统的研究与应用

针对智能电能表传统的分散式检定模式存在检定质量参差不齐、检定效率低等问题,利用网络和自动控制技术开发了智能电能表检定装置集中控制系统并应用于计量中心智能电能表检定工作中。应用结果表明:电能表检定装置集中控制系统实现了操控一体化、标准化、规范化,达到了保证检定质量、提高检定效率的目的。     

基于蒙特卡洛模拟算法的化工装置失效概率估算

分别采用分析算法和蒙特卡洛模拟算法计算装置的瞬时失效概率.首先对瞬时失效概率进行理论研究,依据可靠度理论进行分析,得到瞬时失效概率理论计算公式,但此方法存在理论公式复杂以及计算误差等问题;其次利用蒙特卡洛模拟分析构建化工装置失效概率估算方法,得出利用矩阵实验室(MATLAB)运行的程序流程;最后通过实例计算某个装置的瞬时失效概率,比较分析算法和蒙特卡洛模拟算法所得结果.结果表明,蒙特卡洛算法就整体性而言是可以接受的,而且随着装置数量的增加,装置的瞬时失效概率下降速率加快,这一情况与实际相符.