土壤呼吸与土壤有机碳对不同秸秆还田的响应及其机制

以黄豆、玉米、水稻这3种农业秸秆为原料,崇明东滩围垦土地为试验样区,以景观植物地肤草为目标植物,研究土壤呼吸和土壤有机碳对不同秸秆还田的响应及其可能的机制.结果表明,不同秸秆直接还田的土壤呼吸和地上植物量均高于对照组;黄豆秸秆还田后土壤呼吸相对最低,土壤有机碳最高,因此黄豆秸秆还田的土壤碳封存能力高于玉米和水稻秸秆.秸秆还田显著促进土壤微生物活性,增加了土壤微生物量以及β-糖苷酶、脱氢酶活性,脱氢酶活性与土壤呼吸相关性最显著.黄豆秸秆还田脱氢酶活性最低,相应的土壤呼吸也最低.黄豆秸秆纤维素、木质素和C/N含量最高,可降解性最低,表明黄豆秸秆难以被微生物降解利用,因而还田后其土壤微生物活性最低,最终导致最低的土壤呼吸和较高的土壤有机碳.     

包头市水环境综合整治对策研究

为从根本上改善包头市水环境质量,按照国家环境保护模范城市的标准,全面开展包头市水环境综合整治工作,推进水环境污染防治工作.在对包头市水环境现状进行全面分析的基础上,提出以保护水源地为重点,针对工业源、城镇生活源、农业面源等方面提出整治对策建议,通过重点工程的实施,削减污染物排放总量,使包头市各水体水质达到功能区要求.     

Numerical model to quantify biogenic volatile organic compound emissions: The Pearl River Delta region as a case study

This article compiles the actual knowledge of the biogenic volatile organic compound (BVOC) emissions estimated using model methods in the Pearl River Delta (PRD) region, one of the most developed regions in China. The developed history of BVOC emission models is presented briefly and three typical emission models are introduced and compared. The results from local studies related to BVOC emissions have been summarized. Based on this analysis, it is recommended that local researchers conduct BVOC emission studies systematically, from the assessment of model inputs, to compiling regional emission inventories to quantifying the uncertainties and evaluating the model results. Beyond that, more basic researches should be conducted in the future to close the gaps in knowledge on BVOC emission mechanisms, to develop the emission models and to refine the inventory results. This paper can provide a perspective on these aspects in the broad field of research associated with BVOC emissions in the PRD region.     

明胶厂剩余高钙污泥作为燃煤固硫剂的应用研究

明胶生产产业在废水处理工艺中产生大量剩余高钙污泥,采用该剩余污泥作为燃煤固硫剂,在高温管式电阻炉内进行燃烧实验,通过测定燃烧前和燃烧后样品中的硫含量确定该剩余污泥的固硫效果。通过单因素研究煤粉粒径、剩余污泥粒径和剩余污泥/煤样%等影响因素对固硫率的影响。在单因素试验的基础上通过正交设计法优选达到较高固硫率的实验条件。实验结果表明:影响固硫率的因素从大到小依次为燃烧温度>剩余污泥/煤样%>煤粉粒径>剩余污泥粒径。以剩余污泥作为固硫剂,固硫率最高的实验条件为:燃烧温度800℃,剩余污泥/煤样为3%,煤粉粒径60⁹0目,剩余污泥粒径9090目,剩余污泥粒径90¹20目。并且,当温度达到1150℃,煤粉粒径90120目。并且,当温度达到1150℃,煤粉粒径90¹20目,剩余污泥粒径为60120目,剩余污泥粒径为60⁹0目,污泥/煤样(质量比)为3%时,固硫率可达62.78%,说明在高温下该剩余污泥保持较高的固硫率。将明胶厂剩余污泥作为固硫剂是较为合适的再利用方法,可有效缓解当前该污泥大量堆积污染环境的状况。     

人类活动对流域旱涝事件影响研究进展

人类活动对流域旱涝事件具有决定性影响,已经成为国内外热点研究问题之一。通过系统分析国内外人类活动对流域旱涝事件影响机理的研究,结果表明:人类活动导致大气温室气体和气溶胶含量上升,全球气候变化加剧,导致流域极端水文过程时空格局改变。另一方面,人类活动引起的土地退化将影响流域水资源时空分布和水循环过程,削弱流域防洪抗旱能力;水利工程的修建将增大流域储水状况,有效应对流域旱涝事件,但同时存在加剧流域旱涝事件的风险。此外,论文还概述了人类活动对流域旱涝事件影响的量化方法。     

Spatiotemporal variations of ambient air pollutants and meteorological influences over typical urban agglomerations in China during the COVID-19 lockdown

To investigate the air quality change during the COVID-19 pandemic, we analyzed spatiotemporal variations of six criteria pollutants in nine typical urban agglomerations in China using ground-based data and examined meteorological influences through correlation analysis and backward trajectory analysis under different responses. Concentrations of PM_2.5, PM₁₀, NO₂, SO₂ and CO in urban agglomerations respectively decreased by 18%–45% (30%–62%), 17%–53% (22%–39%), 47%-64% (14%–41%), 9%–34% (0%–53%) and 16%-52% (23%–56%) during Lockdown (Post-lockdown) period relative to Pre-lockdown period. PM_2.5 pollution events occurred during Lockdown in Beijing-Tianjin-Hebe (BTH) and Middle and South Liaoning (MSL), and daily O₃ concentration rose to grade Ⅱ standard in Post-lockdown period. Distinct from the nationwide slump of NO₂ during Lockdown period, a rebound (～40%) in Post-lockdown period was observed in Cheng-Yu (CY), Yangtze River Middle-Reach (YRMR), Yangtze River Delta (YRD) and Pearl River Delta (PRD). With slightly higher wind speed compared with 2019, the reduction of PM_2.5 (51%–62%) in Post-lockdown period is more than 2019 (15%–46%) in HC (Harbin-Changchun), MSL, BTH, CP (Central Plain) and SP (Shandong-Peninsula), suggesting lockdown measures are effective to PM_2.5 alleviation. Although O₃ concentrations generally increased during the lockdown, its increment rate declined compared with 2019 under similar sunlight duration and temperature. Additionally, unlike HC, MSL and BTH, which suffered from additional (> 30%) air masses from surrounding areas after the lockdown, the polluted air masses reaching YRD and PRD mostly originated from the long-distance transport, highlighting the importance of joint regional governance.     

Preparation and characterization of boron-doped corn straw biochar: Fe (Ⅱ) removal equilibrium and kinetics

Nowadays, iron ions as a ubiquitous heavy metal pollutant are gradually concerned and the convenient and quick removal of excessive iron ions in groundwater has become a major challenge for the safety of drinking water. In this study, boron-doped biochar (B-BC) was successfully prepared at various preparation conditions with the addition of boric acid. The as-prepared material has a more developed pore structure and a larger specific surface area (up to 897.97 m²/g). A series of characterization results shows that boric acid effectively activates biochar, and boron atoms are successfully doped on biochar. Compared with the ratio of raw materials, the pyrolysis temperature has a greater influence on the amount of boron doping. Based on Langmuir model, the maximum adsorption capacity of 800B-BC_1:2 at 25 °C, 40 °C, 55 °C are 50.02 mg/g, 95.09 mg/g, 132.78 mg/g, respectively. Pseudo-second-order kinetic model can better describe the adsorption process, the adsorption process is mainly chemical adsorption. Chemical complexation, ions exchange, and co-precipitation may be the main mechanisms for Fe²⁺ removal.     

75t/h燃煤锅炉汞迁移转化规律研究

通过对2台75 t/h循环流化床锅炉烟气中汞排放浓度、燃煤和其他固体副产物中的汞含量进行测试,分析了燃煤大气汞的排放因子,并建立了燃煤汞的质量平衡。结果表明:燃煤锅炉中,大部分汞主要存在于烟气和脱硫副产物中,燃烧后进入炉渣、飞灰中的汞含量较少,低于5%。燃煤汞排放去向与脱硫除尘控制技术有关,不同控制技术协同除汞的效果差异较大,而单质汞是燃煤锅炉汞污染防治的重点和难点。     

半导体生产排放的废气和废水中砷、磷、硫的分析方法研究

研究了一种快速、灵敏、可靠的高温氢还原-气相色谱分析方法[1-2]，并自行设计了高温还原系统(还原炉、六通阀等)，测定半导体生产排放废气和废水中的砷、磷、硫及其化合物，样品不需预处理，使气相色谱仪能直接测定固、液、气相样品中砷、磷、硫及其化合物的含量。砷、磷、硫的检测限分别为0．01mg／L、0．003mg／L、0．02mg／L；相对标准偏差分别为6．2％、8．6％和0．3％，与经典方法进行对比，结果基本一致。从分析方法的误差统计角度，也说明该方法准确、可靠。     

兰州市废旧手机产生量预测分析研究

手机普及率日益提高,随之产生的废弃量也日益增多,分别采用时间梯度模型、市场供给A模型、斯坦福(stanford)模型对兰州市2013年-2022年废旧手机的产生量进行了预测.结果显示,不同模型预测结果之间存在较大差异,市场供给A模型和斯坦福(Stanford)模型的预测结果比较接近,均大于时间梯度模型的预测结果,三种模型预测的兰州市2022年废旧手机的产生量分别为40.40万、46.67万和21.04万部.总体上看,兰州市废旧手机的产生量增长趋势较快.