典型喀斯特地区国土空间生态修复分区研究——以贵州猫跳河流域为例

国土空间生态修复是实现生态系统服务可持续供给的重要保障,明确其空间分区是开展生态修复的前提条件。针对现有生态修复分区方法的层级单一、结果针对性欠佳等问题,以典型喀斯特地区贵州猫跳河流域为研究区,构建“自然立地条件—主导生态功能—生态胁迫问题”生态修复分区框架。选取海拔、坡度、地形起伏度、植被类型等自然立地条件指标分析流域内地域分异规律,进而划定生态修复一级分区;基于水源涵养、土壤保持、生物多样性维护、粮食供给等主要生态系统服务功能评价结果识别区域主导生态功能,据此划定生态修复二级分区;结合石漠化敏感性、水土流失敏感性及生态退化度等关键生态胁迫问题指标构建生态修复分区指数识别生态修复重点区域,进而开展生态修复三级分区划分。最终,将猫跳河流域划分为3个生态修复一级分区、10个生态修复二级分区及30个生态修复三级分区,并提出了相应的生态修复策略。研究可为猫跳河流域生态修复实践提供参考,并为西南喀斯特地区生态修复分区提供理论借鉴。     

长三角区域一体化高质量发展：问题与出路

长三角一体化高质量发展对于中国经济行稳致远有着不言而喻的重要意义。为了科学全面认识新时代长三角一体化高质量发展中存在的问题,厘清未来的发展出路,邀请来自不同领域的相关专家就长三角一体化高质量发展中的区域协调、产业协同、交通组织、城镇体系演变、跨区合作、要素配置、流域统筹、一体化路径、绿色低碳发展等研究前沿进行访谈。访谈结果表明：长三角作为我国经济发展最活跃、开放程度最高、创新能力最强的区域,其发展中仍然存在内部发展不平衡、区间交通割裂、行政壁垒尚存、流域生态协作不健全、产业协同发展不足、绿色经济体系较弱等突出问题。长三角在中国乃至世界发展格局中的战略地位,需要综合各学科各专业的理论知识,从不同视角持续关注长三角一体化高质量发展的重大科学命题。紧扣“一体化”和“高质量”,长三角一体化首先要创新机制缩小区域内部发展差异,强化综合交通一体化的基础支撑,更要突破行政边界的制约;其次要创新机制体制来保障生产要素的有效流动与配置,通过价值链、产业链、创新链的融合发展来夯实一体化;再次要促进土地要素向长三角集中使用,提高长三角地区土地承载能力,为长三角区域一体化高质量发展提供充足的土地要素保证;然后要优化人口就业空间结构,加强城际间环境污染联防联治,强化大江大河等重大流域的省际统筹与合作,共同提升长三角的生态系统服务功能,推动绿色一体化发展;最后更要贯彻五大新发展理念,通过科研突破与市场机制来实现低碳发展,在创新驱动引领下打造流空间世界级枢纽,以实现长三角区域一体化高质量发展的新局面。以上观点为长三角区域一体化高质量发展提供科学可行的理论和决策支持。     

长三角重点生态功能县域生态资产损益核算

限制开发的重点生态功能县域承担着生态保护与经济发展双重使命,如何实现生态与发展互促共进及生态产品价值化是当前面临的极大难点,生态资产损益核算为量化区域资源有偿使用、生态保护修复、生态文明绩效评价等提供了有效途径。以浙江省嵊州市作为长三角地区重点生态功能区的典型县域,基于栅格尺度评估了近20年生态资产存量与流量时空动态变化,并利用地理探测器结合人类活动类型监测分析了生态资产损益的驱动因素。结果表明：2000—2018年,由于森林生态资产质量降低及面积减少,嵊州市近60%区域的生态资产存量呈减少趋势,而生态资产流量总价值与单位面积价值均增益10%以上。相对于自然因素,社会经济因素对嵊州市生态资产损益平均贡献度更大,为17%。县域城镇化导致粮食供给轻微减损,70%以上乡镇生态资产增益,特别是石璜镇生态保护成效较突出。     

介质阻挡放电等离子体老化微塑料及对Zn (II)吸附的影响

为了在实验中缩短微塑料的老化时间,更真实地模拟自然老化条件,采用介质阻挡放电（DBD）等离子体老化聚乙烯微塑料（PE-MP）和聚丙烯微塑料（PP-MP）,同时研究了老化前后PE-MP和PP-MP对Zn （II）的吸附过程和机理.随着放电时间延长和输入电压升高,微塑料表面出现微小裂纹或孔洞,形成含氧官能团.老化后PE-MP和PP-MP对Zn （II）的吸附容量分别提高了22.7%和14.8%.老化前后微塑料对Zn （II）的吸附均符合准二级动力学模型.颗粒内扩散模型表明,Zn （II）在微塑料上的吸附过程可分为快速吸附,慢速吸附和吸附平衡3个阶段.同时,老化前后微塑料对Zn （II）的吸附均符合Langmuir吸附等温线模型.热力学结果表明,微塑料对Zn （II）的吸附是自发的吸热过程.Ca²⁺、腐殖酸和低pH值不利于微塑料对Zn （II）的吸附.     

包埋硫铁生物填料的制备及自养反硝化性能

采用包埋固定化技术制备了包埋硫铁生物填料(ESI Filler),基于升流式自养反硝化反应器开展动态实验研究,通过改变水力停留时间(HRT)、pH值、溶解氧(DO)等运行条件,探究ESI Filler反应器的脱氮效果及微生物群落结构组成。结果表明,当进水硝酸盐氮(NO₃^--N)浓度为30mg/L,HRT为10h时,NO₃^--N去除率不断上升至99.80%。当HRT缩短为2.5h时,NO₃^--N去除率降至61.35%。ESI Filler反应器对pH值和DO的改变具有较高的稳定性,NO₃^--N平去除率可维持在82.5%以上。但对低温的耐受性较差,当温度从35℃降低至15℃时,NO₃^--N平均去除率由90.12%降低至68.80%。运行164d后,球体未出现破裂散落的现象,表现出较长的使用寿命。通过扫描电镜发现,填料表面疏松多孔,附着大量杆状细菌,已成为微生物的良好载体。高通量测序结果表明,包埋颗粒中优势菌属为典型的自养反硝化功能菌Thiobacillus,丰度为80.79%。     

A novel approach for VOC source apportionment combining characteristic factor and pattern recognition technology in a Chinese industrial area

Volatile organic compound (VOC) emission control and source apportionment in small-scale industrial areas have become key topics of air pollution control in China. This study proposed a novel characteristic factor and pattern recognition (CF-PR) model for VOC source apportionment based on the similarity of characteristic factors between sources and receptors. A simulation was carried out in a typical industrial area with the CF-PR model involving simulated receptor samples. Refined and accurate source profiles were constructed through in situ sampling and analysis, covering rubber, chemicals, coating, electronics, plastics, printing, incubation and medical treatment industries. Characteristic factors of n-undecane, styrene, o-xylene and propane were identified. The source apportionment simulation results indicated that the predicted contribution rate was basically consistent with the real contribution rate. Compared to traditional receptor models, this method achieves notable advantages in terms of refinement and timeliness at similar accuracy, which is more suitable for VOC source identification and apportionment in small-scale industrial areas.     

Potassium ferrate pretreatment promotes short chain fatty acids yield and antibiotics reduction in acidogenic fermentation of sewage sludge

During the acidogenic fermentation converting waste activated sludge (WAS) into short-chain fatty acids (SCFA), hydrolysis of complex organic polymers is a limiting step and the transformation of harmful substances (such as antibiotics) during acidogenic fermentation is unknown. In this study, potassium ferrate (K₂FeO₄) oxidation was used as a pretreatment strategy for WAS acidogenic fermentation to increase the hydrolysis of sludge and destruct the harmful antibiotics. Pretreatment with K₂FeO₄ can effectively increase the SCFA production during acidogenic fermentation and change the distribution of SCFA components. With the dosage of 0.2 g/g TS, the maximum SCFA yield was 4823 mg COD/L, which is 28.3 times that of the control group; acetic acid accounts for more than 90% of the total SCFA. The higher dosage (0.5 g/g TS) can further increase the proportion of acetic acid, but inhibit the overall performance of SCFA production. Apart from the promotion of hydrolysis and acidogenesis, K₂FeO₄ pretreatment can also simultaneously oxidizes and degrades part of the antibiotics in the sludge. When the dosage is 0.5 g/g TS, the degradation efficacy of antibiotics is the most significant, and the contents of ofloxacin, azithromycin, and tetracycline in the sludge are reduced by 69%, 42%, and 50%, respectively. In addition, K₂FeO₄ pretreatment can also promote the release of antibiotics from sludge flocs, which is conducive to the simultaneous degradation of antibiotics in the subsequent biological treatment process.     

Evidence on the causes of the rising levels of CODMn along the middle route of the South-to-North Diversion Project in China: The role of algal dissolved organic matter

As the biggest inter-basin water transfer scheme in the world,the South-to-North Water Diversion Project（SNWD） was designed to alleviate the water crisis in North China.The main channel of the middle route of the SNWD is of great concern in terms of the drinking water quality.In this study,we tested the hypothesis that the dissolved organic matter（DOM） derived from the planktonic algae causes the rising levels of COD_Mn along the middle route by monitoring data on water quality（2015-20...     

Ozone episodes during and after the 2018 Chinese National Day holidays in Guangzhou: Implications for the control of precursor VOCs

The impact of reducing industrial emissions of volatile organic compounds (VOCs) on ozone (O₃) pollution is of wide concern particularly in highly industrialized megacities. In this study, O₃, nitrogen oxides (NOx) and VOCs were measured at an urban site in the Pearl River Delta region during the 2018 Chinese National Day Holidays and two after-holiday periods (one with ozone pollution and another without). O₃ pollution occurred throughout the 7-day holidays even industrial emissions of VOCs were passively reduced due to temporary factory shutdowns, and the toluene to benzene ratios dropped from ∼10 during non-holidays to ∼5 during the holidays. Box model (AtChem2-MCM) simulations with the input of observation data revealed that O₃ formation was all VOC-limited, and alkenes had the highest relative incremental reactivity (RIR) during the holiday and non-holiday O₃ episodes while aromatics had the highest RIR during the non-pollution period. Box model also demonstrated that even aromatics decreased proportionally to levels with near-zero contributions of industrial aromatic solvents, O₃ concentrations would only decrease by less than 20% during the holiday and non-holiday O₃ episodes and ozone pollution in the periods could not be eliminated. The results imply that controlling emissions of industrial aromatic solvents might be not enough to eliminate O₃ pollution in the region, and more attention should be paid to anthropogenic reactive alkenes. Isoprene and formaldehyde were among the top 3 species by RIRs in all the three pollution and non-pollution periods, suggesting substantial contribution to O₃ formation from biogenic VOCs.     

基于遥感数据估算近地面PM2.5浓度的研究进展

卫星反演的气溶胶光学厚度(AOD)具有广泛的空间覆盖度和相对较高的时空分辨率. 基于AOD与PM_2.5的相关关系来估算PM_2.5浓度已成为监测近地面PM_2.5的有效途径,其估算结果较可靠,能够为治理PM_2.5污染提供数据基础和科学依据. 从反演AOD数据集和PM_2.5浓度估算模型2个方面进行梳理归纳,从卫星轨道运行类型角度分析各类传感器的产品特征,并对缺失AOD的插补方法进行分类评价;对PM_2.5浓度的估算模型进行比较分析,指出不同模型的优缺点和适应性. 结果表明:①各类卫星传感器均具有特定功能及优缺点,其中地球同步轨道(GEO)卫星的快速发展,使其在估算PM_2.5浓度的应用上越来越广泛. ②插补后的AOD比AOD初始产品具有更连续的时空分布和更高的准确性,基于模型的多变量估算不仅可以实现数据的全面覆盖,还可以获得更好的估算精度. ③组合模型成为估算PM_2.5浓度的重要方法,机器学习模型的加入能够有效提高PM_2.5浓度的估算精度. 研究显示,利用AOD估算近地面PM_2.5浓度不仅弥补了地面PM_2.5监测的空间不连续性,更有助于解析PM_2.5浓度的时空分布特征及污染来源.