Spatial analysis of resources and environmental carrying capacity in Iran

Urbanization and mass movement of the population from rural areas and small cities to megacities have led to environmental, economic, and social problems in Iran. In dealing with these challenges, assessing resource and environmental carrying capacity (RECC) is considered an effective method to leverage space and capital to achieve sustainable development. This study aimed to rank the provincial RECC in Iran. Toward this purpose, environmental indices were generated from remotely sensed and statistical census data. Then, the provinces were scored in terms of environmental, economic, and infrastructural carrying capacities, and RECC using the mean variance analysis method. Results demonstrated that in most areas, there is no relationship between economic and infrastructural capacities and development. Statistically, a correlation coefficient of −0.53 between economic and environmental carrying capacities indicated excessive use of environmental capacities. Moreover, the spatial distribution pattern of environmental, economic, and infrastructural carrying capacity was entirely heterogeneous between the provinces; there was a northeast–southwest pattern in terms of infrastructural capacity and an economic pattern from north to south. The distribution pattern of RECC is most consistent with the environmental capacity, pointing at the high weight of the indicators of the RECC model. In conclusion, this research offers a new vision for policymakers and provides a theoretical and applicable framework for implementing sustainable strategies in land-use planning. It is recommended that the RECC concept and tools can be used not only for planning but also for measuring the efficiency of spatial development programs and establishing land balances in the region.     

Misoperation monitoring and early warning during startup and shutdown of petrochemical units

Most petrochemical units run under extreme conditions, such as high temperatures, pressures, and speeds. Consequently, the equipment operators may commit errors because the startup and shutdown processes usually involve complicated operation steps; moreover, the operators may lack experience in handling abnormal situations. Misoperation can lead to accidents, including fires and explosions. Thus, risk analysis for process operations and the development of preventive measures have become an effective means of avoiding misoperation-related accidents. However, it is challenging to ensure the comprehensiveness of risk-analysis results. In this paper, we present a method for misoperation monitoring and early warning in the startup and shutdown processes of petrochemical units. The mechanisms of misoperation occurrence are summarized based on investigations of serious accidents in the recent past. Knowledge regarding the mechanisms of misoperation is crucial for the risk analysis of petrochemical units. The potential risk information, such as causes, adverse consequences, key monitoring parameters, and prevention control solutions, should be acquired and be employed to construct an early-warning knowledge database. Furthermore, misoperation judgment rules need to be formulated to identify misoperations. The data obtained from the monitoring module, misoperation judgment rules, and analysis results can aid in developing schemes to avoid possible abnormal situations. This paper reports a misoperation monitoring and early-warning system for a hydrogenation unit. As demonstrated, conducting risk analysis to determine the potential operational risks and formulating misoperation judgment rules to analyze the process data are essential for enabling early warning. The application of this method will contribute to operational guidance, economic loss reduction, and accident avoidance.     

燃煤电厂超低排放气态污染物监测技术综述

介绍了燃煤电厂超低排放气态污染物监测系统的采样系统和分析单元,分析了其各自的优缺点。对稀释抽取式、冷干抽取式和热湿抽取式3种采样方法,以及非分散红外吸收法(NDIR)、非分散紫外吸收法(NDUV)、紫外差分吸收法(DOAS)、紫外荧光法(UVF)和化学发光法(CL)5种分析方法进行对比。结果表明,冷干抽取式+紫外差分法以及稀释抽取式+紫外荧光法+化学发光法可以较好地符合燃煤电厂超低排放监测的要求。     

A strategy for the next decade to address data deficiency in neglected biodiversity

Measuring progress toward international biodiversity targets requires robust information on the conservation status of species, which the International Union for Conservation of Nature (IUCN) Red List of Threatened Species provides. However, data and capacity are lacking for most hyperdiverse groups, such as invertebrates, plants, and fungi, particularly in megadiverse or high-endemism regions. Conservation policies and biodiversity strategies aimed at halting biodiversity loss by 2020 need to be adapted to tackle these information shortfalls after 2020. We devised an 8-point strategy to close existing data gaps by reviving explorative field research on the distribution, abundance, and ecology of species; linking taxonomic research more closely with conservation; improving global biodiversity databases by making the submission of spatially explicit data mandatory for scientific publications; developing a global spatial database on threats to biodiversity to facilitate IUCN Red List assessments; automating preassessments by integrating distribution data and spatial threat data; building capacity in taxonomy, ecology, and biodiversity monitoring in countries with high species richness or endemism; creating species monitoring programs for lesser-known taxa; and developing sufficient funding mechanisms to reduce reliance on voluntary efforts. Implementing these strategies in the post-2020 biodiversity framework will help to overcome the lack of capacity and data regarding the conservation status of biodiversity. This will require a collaborative effort among scientists, policy makers, and conservation practitioners.     

物元分析法在池塘循环流水养殖模式监测点优化中的应用

基于2018年-2019年松江池塘循环流水养殖模式水质监测数据,采用物元分析和聚类分析相融合的评价方法对水环境质量状况进行评价.结果表明,改进后的物元分析适用于池塘循环流水养殖模式监测网络,监测点从19个减少到8个,可节省50％的成本.F检验和T检验验证结果表明,优化后的监测网络能较好地代表原始监测网络.     

基于风险的危险品道路运输安全容量研究

为了确定危险品道路运输安全容量，保障危险品道路运输安全，基于风险理念，使用对比研究方法，提出危险品道路运输个人风险基准，建立改进的危险品道路运输定量风险评估模型。结合提出的风险基准，提出危险品运输安全容量确定方法，解决了单一类别和多种类别危险品运输安全容量确定问题。研究结果表明:在某城市化工集聚区的实例应用该方法，能够大幅度降低危险品道路运输潜在生命损失，有助于保障危险品道路运输安全。     

某电厂600MW火电机组脱硫增容改造方案探讨

按照国家环保部文件要求，大唐集团河北某电厂600 MW机组湿法脱硫系统需进行增容改造。该电厂根据实际情况，归纳了3种可行的脱硫增容改造方案，即原吸收塔增加喷淋层和高度、双吸收塔串联、双吸收塔双循环，阐述了各自的技术特点，结合性能保证、工程投资、施工周期等影响因素，比较了各方案的优缺点。经过对比和论证，双吸收塔方案比单吸收塔方案更适合于本次工程改造。     

长庆油田4731B型非金属集输管道老化特性实验研究

为推广非金属复合管在油田集输油领域的应用，明确其在集输环境中的老化特性是关键问题。基于集输油现场的工程条件，针对长庆油田试用的4731B型钢丝缠绕增强复合管，以采出原油、采出水为实验介质，通过挂片实验、水压爆破实验，借助电镜扫描、拉伸测试对复合管内衬层老化行为、拉伸性能以及复合管极限承压与老化特性进行研究。结果表明:采出原油与采出水均可渗透扩散进入内衬层内部，还会发生局部深入渗透；采出原油、采出水的局部渗透速率分别可达3.4，10.6 mm/a；在某些工况下，内衬层表面产生裂纹；短时间（168 h）内的介质渗透甚至裂纹对其机械性能影响较小，而光氧老化影响显著；现场服役813 d后，复合管极限承压下降2.79%，表明复合管承压性能稳定。     

酸性土壤条件下纳米氧化锌长期暴露对蕹菜生长和叶绿素荧光参数的影响

为了探明酸性土壤条件下纳米氧化锌（nano-ZnO）长期暴露对蕹菜的生理生态效应，通过盆栽实验，设置7个浓度系列的nano-ZnO，70 d后测定相对叶绿素含量、生长参数和叶绿素荧光参数。结果显示，随nano-ZnO浓度升高，蕹菜相对叶绿素含量和生长参数先缓慢增加后显著下降。nano-ZnO对蕹菜生物量在根部和冠部间的分配无显著影响。相对叶绿素含量与nano-ZnO浓度呈显著负相关（r=-0.879,p<0.001）。在nano-ZnO质量比为160 mg/kg时，光合有效辐射190μmol/(m²·s)诱导的激发能过剩，但过剩激发能可通过热耗散保护机制消耗，以避免发生光损伤。酸性土壤条件下，弱光诱导的蕹菜叶绿素荧光参数对nano-ZnO长期暴露不敏感，但蕹菜的生物量累积易受nano-ZnO长期暴露的影响。     

对叉车额定起重量的分析和探讨

本文对叉车的额定起重量和实际起重量之间的联系与区别进行了分析,指出了额定起重量只是供叉车设计使用的参数,建议不要将额定起重量标识在叉车铭牌上,叉车用户应按照载荷曲线图来确定操作时的实际起重量.