川中丘陵县域土壤pH空间变异及影响因素分析——以四川仁寿县为例

利用2012年在仁寿县采集的555个表层土样(0~20cm),应用地统计学方法分析了该县域尺度表层土壤pH值的空间变异特征;并采用方差分析和回归分析量化主要影响因素对土壤pH值空间变异的影响程度。结果表明:研究区土壤pH值在4.02~8.14之间,平均为6.80,总体上以中性和碱性土壤为主;变异系数为14.48%,属中等程度的空间变异性。地统计分析表明,研究区土壤pH值变异函数的最佳理论模型为球状模型,具有中等程度的空间自相关性,且空间自相关范围较大。方差分析和回归分析表明,土壤类型、成土母质和土地利用方式是显著影响土壤pH值的主要因素。其中,成土母质和土地利用方式分别能独立解释76.2%和4.8%的土壤pH值空间变异。土壤类型的解释能力与分类级别有关,土类、亚类和土属可分别独立解释41.3%、57.3%和83.7%的土壤pH值空间变异,因而能反映成土过程和母质特性的土属是研究区土壤pH值空间变异的主控因素。研究结果可为川中丘陵县域尺度土壤pH空间变异分析及区域生态环境管理与建设提供有益参考。     

河北生态环境建设与京津协同发展障碍因素及思路建议

本文就河北生态环境建设与京津协同发展中障碍因素进行初步探讨,并提出破解障碍因素的具体思路建议。在对行政区划、产业发展、环境与发展的矛盾、市场化资源配置机制、环京津贫困带及环境属地管理模式六大障碍因素分析基础上,认为河北生态环境建设与京津协同发展,要站在京津冀协同发展战略高度,在京津冀协同发展框架下统筹规划,确立以市场为纽带的新型合作关系,实现区域内各方的密切配合、通力合作。以此为理念,提出破解河北生态环境建设与京津协同发展障碍因素的几点思路建议。     

A data-driven narratives skeleton pattern recognition from accident reports dataset for human-and-organizational-factors analysis

Accidents in the process industry involve several interacting factors, including human and organizational factors (HOFs). A long-standing obstacle to HOFs analysis is lack of data. Accident reports are an essential data source to learn from the past and contain HOFs-related data, but they are usually unstructured text in a not standardized format. Some studies have explored the extraction of information automatically from accident reports based on Natural Language Processing (NLP) techniques. However, they were not dedicated to HOFs. Risk communication is considered an essential pillar in safety and risk science. This research develops a HOFs-focused risk communication framework based on the NLP techniques that can support risk assessment and mitigation. The proposed approach automatically extracts the target groups oriented “Who, When, Where, Why” (4Ws) information from accident reports.This framework was applied to explore the eMARS database. The results show that the “4Ws” skeleton of narratives has appreciated performance in pattern recognition and holistic information analysis. The graphical representation interfaces are designed to display the features of HOFs-related accidents, which can better be communicated to the sharp-end operators and decision-makers.     

乡村人居环境系统韧性的演变规律及其提升路径——以国家城乡融合发展试验区重庆西部片区为例

以国家城乡融合发展试验区——重庆西部片区为研究区,以2009年、2014年、2019年为研究时点,以2009—2019年为研究时段,按照思想缘起、理论基础、实证演绎、提升路径的研究思路,建立乡村人居环境系统韧性测度的指标体系,分析其演变规律。研究结果表明：2009—2019年,重庆西部片区的乡村人居环境系统韧性水平不断上升,呈现出“南高北低”的空间格局。各子系统韧性在时间上呈现出不同程度的增长趋势,在空间上差异明显：自然系统韧性与人类系统韧性分别呈现出“由南向北递减”和“东西部向中部递减”的空间格局;居住系统韧性与支撑系统韧性则分别呈现出由“低值点缀分布”逐渐过渡到较为均衡和“普遍均衡、高低值点缀”的空间格局;社会系统韧性表现为“西部增强、东部减弱”的空间格局特征。借助障碍度模型对重庆西部片区乡村人居环境系统韧性提升的障碍因子及不同区县面临的主导障碍进行诊断,根据结果将重庆西部片区划分为单一主导障碍型、双重障碍型与三层障碍型三种类型,据此设计乡村人居环境系统韧性提升的差异化路径,以期打破重庆西部片区乡村人居环境系统韧性提升的多重制约。     

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。     

温压条件下不同含水高岭石对NH4+吸附的分子模拟

为研究高岭石对NH₄⁺吸附的微观情况,通过Material Studio软件对高岭石单胞进行收敛性测试后构建了4×2×1不同水化程度高岭石模型,采用量子力学和经典力学方法对模型晶胞进行了理论计算和吸附实验研究.结果显示,在交换关联泛函GGA-PW91,K点4×3×2,截断能600eV条件下,得到了高岭石稳定结构模型（误差<2%）;高岭石对NH₄⁺的吸附受温度影响明显,随温度升高,吸附量逐渐减少,与吸附实验结果一致;动力学结果显示吸附类型主要为物理吸附,吸附作用力为范德华力和库仑力.     

因子回归和交互联合探索区域植被覆盖度的影响因素——以三江源地区为例

利用SPOT VEGETATION数据获取的归一化植被指数（NDVI）,分析三江源地区植被覆盖度（FVC）的空间异质性,围绕自然和人类活动因素,基于因子回归与交互作用联合探索自然因素和人为因素对三江源地区植被覆盖的影响.结果表明：（1）三江源地区植被覆盖度整体呈现明显的空间异质性;（2）总体上FVC空间分布的影响因素表现为自然环境因素>人类活动因素;（3）降水是影响三江源地区FVC的主要驱动因子,解释力达0.777;（4）因子交互发现：驱动解释系统呈现双因子增强,说明从系统的角度来看不存在独立起作用的因子,年降水量与其他因子的交互作用最强;（5）降水梯度影响了三江源地区FVC空间异质性的解释程度.随着降水增加,因子解释力趋稳,在降水量较多的三江源东部地区,FVC趋向于更易受高程和气温的影响;（6）数据结果亦验证了因子独立的全局最优筛选仅仅是模拟因变量特征的最优函数,其解释效果与因变量的驱动解释不能完全等同.     

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.     

Alterations in microbial community during the remediation of a black-odorous stream by acclimated composite microorganisms

Microbial application is an efficient, economical, and ecofriendly method for remediating black-odorous rivers. In this study, the field treatment effect and microbial community changes were monitored during remediation by the acclimated complex microorganisms of a typical black-odorous stream. After the treatment, the total phosphorus and ammonia contents decreased by 74.0% and 76.3% and the concentrations of dissolved oxygen increased from 1.65 to 4.90 mg/L, indicating the effectiveness of the acclimated composite microorganisms. The proportion of Bacteroidetes decreased significantly by 48.1% and that of Firmicutes increased by 2.23% on average, and the microbial diversity index first increased and then tended to be uniform. Redundancy analysis demonstrated that the pH, dissolved oxygen, and oxidation-reduction potential together determined the composition of the microbial communities (p < 0.05). These findings showed that the acclimated composite microorganisms can effectively remediate the black odor.     

土壤环境汞污染现状及其影响因素研究进展

土壤重金属污染导致土壤环境质量显著降低,影响食品安全、水源水质和空气质量等,严重威胁人类的生存和发展。汞（Hg）作为一种全球性的重金属污染物,广泛分布于多种环境介质中,其中土壤是全球汞最大的储存库。土壤中的汞可通过多种暴露途径进入人体,危害人类健康。伴随着全球气候变暖和人为活动加剧,全球土壤汞污染问题日益严重。然而,目前有关土壤汞污染的基础数据较为缺乏,大范围的土壤汞污染空间分布特征分析相对较少,对于土壤汞污染主控因子的分析方法缺乏系统的阐述。因此,本文基于文献调研的方法,分析了全球的土壤汞污染分布特征,发现全球土壤汞污染主要集中在矿区及工业聚集区,阐述了人为因素、气候条件和土壤环境因素等对土壤汞含量变化的影响,并总结了可应用于土壤汞污染主控因子分析的常用方法及其优缺点。同时,本文对未来土壤汞污染调查和研究进行了3方面的展望,以期为更加科学合理的解决土壤汞污染问题做出贡献。