辽河三角洲湿地植被生态状况变化特征分析

归一化植被指数（NDVI）是反映植被状况的重要指标,对植被生长和区域生态状况的研究具有重要意义。为探究辽河三角洲植被生态状况变化特征和未来发展趋势,基于1995—2009年的NOAA/AVHRR NDVI和2009—2020年FY3/MERSI NDVI数据,通过修正拟合和S-G滤波法构建了1995—2020年长时间序列NDVI数据集。利用趋势分析法、变异系数和Hurst指数分析辽河三角洲（盘锦地区）NDVI时空分布特征,重点研究了水田和沼泽湿地的植被生态状况变化规律和未来发展趋势。结果表明：（1）从时间变化上看,26 a间辽河三角洲NDVI呈波动增加趋势,年平均增长率为0.32%;NDVI年内呈典型的单峰型分布,最大值出现在7月下旬或8月上旬。（2）从空间变化上看,区域内NDVI呈西南—东北方向递增,最高值主要分布在水田区,次高值分布在沼泽区。（3）绝大部分水田植被逐年变好,且植被生态状况比较稳定,低波动变化区域占96.72%,未来植被生态状况将持续改善的区域占61.05%。（4）沼泽植被逐年变好的区域占97.67%,变好最明显的区域主要分布在南部沿海地区和双台子河口附近,且该区域未...     

十溴联苯醚(BDE209)对蜡状芽胞杆菌吸附/释放金属离子的影响

针对重金属及多溴联苯醚(PBDEs)复合污染问题,以蜡状芽孢杆菌(Bacillus cereus)复合菌为吸附材料,研究了十溴联苯醚(BDE209)对蜡状芽孢杆菌复合菌吸附及释放金属离子的影响.结果表明,蜡状芽孢杆菌复合菌对低浓度的Pb(II)(0.712mg·L-1)、Zn(II)(4.844mg·L-1)具有快速、高效、稳定的吸附能力,最高吸附率分别达到98.31%和97.83%;对低浓度的Cu(II)(1.915mg·L-1)也能起到一定的去除作用,吸附率最高可达59.90%.复合菌吸附重金属离子的同时,释放了其他金属离子:Ca(II)、K(I)、Na(I),且释放总量大于吸附总量.不同浓度的BDE209对复合菌吸附重金属产生不同的影响.1mg·L-1的BDE209基本表现为促进复合菌对重金属的吸附;而10mg·L-1的BDE209在0～4h之间促进复合菌对Pb(II)、Zn(II)的吸附,在反应4h后明显抑制吸附作用,而对Cu(II)则始终表现为促进作用.BDE209对金属离子释放的影响主要体现在反应的初始阶段(0～4h),表现为高浓度的BDE209减缓K(I)、Na(I)的释放.     

海峡两岸非正规聚落火灾现状分析研究

全球城镇化进程显著提高了人民的物质生活水平和城市基础设施。然而,南北半球区域性经济发展不平衡导致全球依然有10亿人居住在生活水平较低和消防防治水平十分落后的非正规聚落中。近些年,国内外非正规聚落火灾频繁发生,但是有关中国大陆和台湾地区非正规聚落的火灾研究却处于初步阶段。为加深对海峡两岸非正规聚落火灾的理解和认识,通过中国大陆和台湾地区学者的合作开展了调查研究,简要概述了两岸非正规聚落的房屋类型和火灾危险性;并调研总结了两岸非正规聚落现有的火灾研究现状;根据两岸非正规聚落的成因和形态,简要总结了其火灾风险和消防问题。研究发现：中国大陆的非正规聚落主要分为棚户区、城中村、群租房、临时住所和部分少数民族传统村落等;台湾地区的非正规聚落主要分为违章使用和既有合法建筑两种形态：违章使用多见于违法分租、铁皮加盖与违法使用(农地自行盖房舍),既有合法建筑主要包括三合院、四合院、古迹历史建筑物和原住民部落等。两岸非正规聚落的房屋类型和火灾隐患具有共性,亟需开展更多的科学研究。     

溶藻细菌HSY-03对赤潮异弯藻抗氧化系统的影响

为研究溶藻细菌HSY-03(Bacillus sp.)对赤潮异弯藻的溶藻机制,采用不同浓度HSY-03无菌上清液处理赤潮异弯藻藻细胞,测定藻细胞光合色素含量、叶绿素荧光效率、细胞内部活性氧(ROS)水平和抗氧化系统活性变化.结果表明,HSY-03无菌上清液作用24 h之后,赤潮异弯藻叶绿素a含量、类胡萝卜素含量和最大光...     

国际经验对我国生态保护红线管理的启示

中国在2011年正式提出生态保护红线战略,其主要目的是识别出最重要的生态系统,并实施严格保护。作为促进生态文明建设重要内容之一的生态保护红线的管理工作就显得尤其重要。美国和日本对生态保护地的管理形成了完善的法律法规体系,适合自身的机构管理体制,可持续的科学分区管理。欧盟则形成了纵横结合的生态网络管理体制。通过学习与借鉴美国、日本和欧盟对生态保护地的管理特点和经验,针对我国现行的生态保护红线管理存在的法规制度不完善以及管理部门不协同等问题,提出出台红线管理办法、对接空间规划强化管理工作、制定可持续性分区管理体制、构建以环境准入清单为抓手的纵横结合的管理监督体系等建议。     

预氧化+混凝沉淀+MAP预处理畜禽养殖废水研究

畜禽养殖废水由于具有高COD、高SS、高氨氮等特点,属于高浓度难降解废水,不宜直接采用生化处理,需对其进行预处理。试验采用预氧化+混凝沉淀+MAP对畜禽养殖废水进行预处理。结果表明:预氧化+混凝沉淀+MAP沉淀预处理畜禽养殖废水具有极强的可行性,同时当次氯酸钠投加量为1260 mg/L,PAC为700 mg/L,PAM投加量为10 mg/L时,处理效果最佳,并且药剂投加不宜采用同步进行,适宜先进行预氧化,然后进行强化混凝,最后采用MAP沉淀法处理畜禽养殖废水,可以达到更好的预处理效果,提高可生化性。     

整车自然暴晒与全光谱阳光模拟老化相关性研究

本文采用整车自然暴晒、整车阳光模拟试验搭载PC样板的方法和TNR的计算方法,对整车自然暴晒与全光谱阳光模拟老化之间的相关性进行了研究。结果表明:全光谱阳光模拟试验仪表板区域的PC样板的色差数据与整车自然暴晒测得的色差数据具有有较好的相关性;整车全光谱阳光模拟试验25个循环数(600 h)的TNR数据相当于整车自然暴晒一整年暴晒的70_～84 %,不同车型数据结果会有所不同。     

页岩气增产采出水处理方法研究

针对页岩气增产采出水易起泡,难以平稳蒸发脱盐的问题,利用"预处理+多效蒸发"处理方法,对井站两种不同性质的采出水进行中试,连续监测各工艺单元处理后水质及蒸发出水水质。结果表明:通过破乳混凝、催化氧化、电荷中和及除硬等步骤,能够完全消除泡排水起泡性;中试稳定运行7d,两种泡排水蒸发出水水质稳定,COD浓度<55mg/L,NH4^+-N浓度<18mg/L,满足GB 8978-1996《污水综合排放标准》一级标准;Cl^-浓度<21mg/L,满足DB 51/190-1993《四川省水污染物排放标准》要求。     

Comparative genotoxicity of water processed by three drinking water treatment plants with different water treatment procedures

• Genotoxicity of substances is unknown in the water after treatment processes. • Genotoxicity decreased by activated carbon treatment but increased by chlorination. • Halogenated hydrocarbons and aromatic compounds contribute to genotoxicity. • Genotoxicity was assessed by umu test; acute and chronic toxicity by ECOSAR. • Inconsistent results confirmed that genotoxicity cannot be assessed by ECOSAR. Advanced water treatment is commonly used to remove micropollutants such as pesticides, endocrine disrupting chemicals, and disinfection byproducts in modern drinking water treatment plants. However, little attention has been paid to the changes in the genotoxicity of substances remaining in the water following the different water treatment processes. In this study, samples were collected from three drinking water treatment plants with different treatment processes. The treated water from each process was analyzed and compared for genotoxicity and the formation of organic compounds. The genotoxicity was evaluated by an umu test, and the acute and chronic toxicity was analyzed through Ecological Structure- Activity Relationship (ECOSAR). The results of the umu test indicated that biological activated carbon reduced the genotoxicity by 38%, 77%, and 46% in the three drinking water treatment plants, respectively, while chlorination increased the genotoxicity. Gas chromatograph-mass spectrometry analysis revealed that halogenated hydrocarbons and aromatic compounds were major contributors to genotoxicity. The results of ECOSAR were not consistent with those of the umu test. Therefore, we conclude that genotoxicity cannot be determined using ECOSAR .     

Identifying factors that influence soil heavy metals by using categorical regression analysis: A case study in Beijing,China

A method was proposed to identify the main influence factors of soil heavy metals. The influence degree of different environmental factors was ranked. Parent material, soil type, land use and industrial activity were main factors. Interactions between some factors obviously affected soil heavy metal distribution. Identifying the factors that influence the heavy metal contents of soil could reveal the sources of soil heavy metal pollution. In this study, a categorical regression was used to identify the factors that influence soil heavy metals. First, environmental factors were associated with soil heavy metal data, and then, the degree of influence of different factors on the soil heavy metal contents in Beijing was analyzed using a categorical regression. The results showed that the soil parent material, soil type, land use type, and industrial activity were the main influencing factors, which suggested that these four factors were important sources of soil heavy metals in Beijing. In addition, population density had a certain influence on the soil Pb and Zn contents. The distribution of soil As, Cd, Pb, and Zn was markedly influenced by interactions, such as traffic activity and land use type, industrial activity and population density. The spatial distribution of soil heavy metal hotspots corresponded well with the influencing factors, such as industrial activity, population density, and soil parent material. In this study, the main factors affecting soil heavy metals were identified, and the degree of their influence was ranked. A categorical regression represents a suitable method for identifying the factors that influence soil heavy metal contents and could be used to study the genetic process of regional soil heavy metal pollution.