深圳市综合水质指数研究及其在水资源资产评估上的应用

自然资源资产评估技术是开展自然资源资产负债表实践和实行环境责任离任审计的重要技术支撑。水资源作为一项重要自然资源,如何有效评估水资源资产是不可回避的问题。论文以深圳市为研究区域,一是采用综合污染指数法和主成分分析法,以总氮、氨氮、总磷、化学需氧量、生化需氧量、固体悬浮物为指标参数构建了深圳市综合水质指数以评价水资源综合水质。二是以该综合水质评估模型为基础,通过采用治污成本法分析综合水质与治污成本间的关系,从而构建深圳市景观水和饮用水资源的价值量评估模型。论文还以深圳市大鹏新区为试点开展了水资源价值量评估,评估结果显示,2015年大鹏新区景观水和饮用水资源的价值量分别为3.60亿、0.35亿元。     

以经济学实验研究处罚机制对排污收费政策执行的影响

为研究处罚机制对排污收费政策执行效果的影响,建立了排污收费政策下风险中性企业的最优决策模型,设计了经济学实验.采用数据统计、线性随机效应模型、单因素不等重复实验方差分析等方法分析实验数据,验证了该模型得出的假设.结果表明,边际处罚期望对于企业的违法量和排放量决策均有显著负影响;企业边际减排成本对于企业的排放量决策有显著正影响,对于违法量决策没有显著影响;相同边际处罚期望下,监测频率越高,企业的服从率越高,且在边际处罚期望较高时,更为明显.因此,提高边际处罚期望可同时改善企业违法行为与促进企业减排.同时,为降低执行成本,在边际处罚期望较低时,可首先将线性罚款向梯级罚款转变.当边际处罚期望上升到较高水平时,则应注重监测频率的提高,并应重点监控那些排污量大而不是边际减排成本高的企业.     

基于碳源储存的污水生物脱氮除磷效率及污水处理系统延伸成本分析

以我国北方某改良型A²/O工艺 (设计规模6×10⁴ m³·d⁻¹) 为例,基于一年的运行数据,考察碳源储存与生物脱氮除磷能力之间的关系,分析碳源利用效率和能耗情况。结果表明：在7—9月,系统碳源的综合利用效率为53%~55%,这说明消耗的碳源中超过50%比例用于生物脱氮除磷;反硝化菌较聚磷菌对环境的变化更敏感;外加碳源的延伸成本占直接成本的20.5%。因此,污水处理厂应充分考虑进出水水质及环境条件变化对碳源有效利用的影响。本研究结果可为减污降碳协同增效背景下城市污水处理厂A²/O工艺及其他常规工艺的优化调控提供参考。     

3种制备方法对Mn-Ce/TiO2催化剂的性能影响及成本分析

制备方法对催化剂的性能和成本有重要影响。选择共沉淀法、浸渍法和溶胶凝胶法制备Mn-Ce/TiO₂催化剂,在90~220 ℃对比测试不同方法制得催化剂样品的低温SCR性能,利用BET、SEM、XRD、FT-IR、H₂-TPR和NH₃-TPD分析样品的物理化学性质,并对3种方法的实验室制备过程进行成本分析。结果表明：共沉淀法和浸渍法制备的催化剂低温SCR性能均较好,在反应温度为150 ℃的条件下,催化剂的脱硝效率达到100%;制备方法不仅会影响催化剂的比表面积、表面形貌,还会对催化剂的氧化还原能力和表面酸性位产生影响;成本由低到高依次为浸渍法、溶胶凝胶法、共沉淀法。3种方法制得同样质量的催化剂时,采用浸渍法所消耗的药剂最少,而且浸渍法制备过程最短,操作最简单。本研究可为锰基低温脱硝催化剂的制备提供参考。     

西北生态脆弱区畜禽粪污处理技术综合评价

畜禽粪污处理技术在不同地区适用性有较大差异。为全面、客观、科学地筛选出适宜西北地区的畜禽粪污处理技术,将生命周期评价、费用效益评价与层次分析法耦合,从技术、经济、气候、直接环境影响与间接环境影响5个方面,建立了包含18项指标的西北生态脆弱区畜禽粪污处理技术评价体系;以兰州市畜禽粪污处理技术为例,分析好氧堆肥、厌氧发酵、垫料利用3种处理技术的适用性。结果表明：兰州市畜禽粪污处理技术适用性综合排序为垫料利用（72.21分）>好氧堆肥（71.55分）>厌氧发酵（68.79分）,垫料利用技术更适宜在西北地区推广;垫料利用技术环境友好性明显优于厌氧发酵和好氧堆肥技术;使用好氧堆肥和厌氧发酵技术处理畜禽粪污可为养殖场增加额外收益。该研究可为西北地区畜禽粪污处理技术模式构建和优化提供指导。

     

钢铁行业节能技术潜力与成本分析—以长三角地区为例

钢铁行业是能源消耗和碳排放的重点行业,节能减排是钢铁行业绿色低碳转型发展的有效途径,节能技术是钢铁行业提高能源效率、降低碳排放和减少空气污染的关键。运用节能供给曲线方法对长三角地区钢铁行业技术节能成本进行评价,并对2030年长三角地区钢铁行业技术节能潜力进行评估。结果表明：钢铁行业28项技术在2030年预计为长三角地区累计节能875.74 PJ,约为2020年长三角地区钢铁行业总能耗的34%;考虑不同收益项时的技术节能成本存在差异,当不考虑任何收益时技术的节能成本最高,当将协同效益纳入考虑后,技术的节能成本降到较低水平;贴现率、温室气体或污染物交易价格等因素会对技术的节能成本产生影响,贴现率越高意味着资金成本越高,技术的节能成本也相应越高;温室气体或污染物价格上升会增加技术节能的收益,从而降低技术的节能成本。

     

Spatial cost–benefit analysis of blue restoration and factors driving net benefits globally

Marine coastal ecosystems, commonly referred to as blue ecosystems, provide valuable services to society but are under increasing threat worldwide due to a variety of drivers, including eutrophication, development, land-use change, land reclamation, and climate change. Ecological restoration is sometimes necessary to facilitate recovery in coastal ecosystems. Blue restoration (i.e., in marine coastal systems) is a developing field, and projects to date have been small scale and expensive, leading to the perception that restoration may not be economically viable. We conducted a global cost–benefit analysis to determine the net benefits of restoring coral reef, mangrove, saltmarsh, and seagrass ecosystems, where the benefit is defined as the monetary value of ecosystem services. We estimated costs from published restoration case studies and used an adjusted-value-transfer method to assign benefit values to these case studies. Benefit values were estimated as the monetary value provided by ecosystem services of the restored habitats. Benefits outweighed costs (i.e., there were positive net benefits) for restoration of all blue ecosystems. Mean benefit:cost ratios for ecosystem restoration were eight to 10 times higher than prior studies of coral reef and seagrass restoration, most likely due to the more recent lower cost estimates we used. Among ecosystems, saltmarsh had the greatest net benefits followed by mangrove; coral reef and seagrass ecosystems had lower net benefits. In general, restoration in nations with middle incomes had higher (eight times higher in coral reefs and 40 times higher in mangroves) net benefits than those with high incomes. Within an ecosystem type, net benefit varied with restoration technique (coral reef and saltmarsh), ecosystem service produced (mangrove and saltmarsh), and project duration (seagrass). These results challenge the perceptions of the low economic viability of blue restoration and should encourage further targeted investment in this field.     

Biodiesel production from vegetable oil and waste animal fats in a pilot plant

In this study, corn oil as vegetable oil, chicken fat and fleshing oil as animal fats were used to produce methyl ester in a biodiesel pilot plant. The FFA level of the corn oil was below 1% while those of animal fats were too high to produce biodiesel via base catalyst. Therefore, it was needed to perform pretreatment reaction for the animal fats. For this aim, sulfuric acid was used as catalyst and methanol was used as alcohol in the pretreatment reactions. After reducing the FFA level of the animal fats to less than 1%, the transesterification reaction was completed with alkaline catalyst. Due to low FFA content of corn oil, it was directly subjected to transesterification. Potassium hydroxide was used as catalyst and methanol was used as alcohol for transesterification reactions. The fuel properties of methyl esters produced in the biodiesel pilot plant were characterized and compared to EN 14214 and ASTM D6751 biodiesel standards. According to the results, ester yield values of animal fat methyl esters were slightly lower than that of the corn oil methyl ester (COME). The production cost of COME was higher than those of animal fat methyl esters due to being high cost biodiesel feedstock. The fuel properties of produced methyl esters were close to each other. Especially, the sulfur content and cold flow properties of the COME were lower than those of animal fat methyl esters. The measured fuel properties of all produced methyl esters met ASTM D6751 (S500) biodiesel fuel standards.     

Comparison of a two-stage sampling design and its composite sample alternative: An application to soil studies

The objective of a long-term soil survey is to determine the mean concentrations of several chemical parameters for the pre-defined soil layers and to compare them with the corresponding values in the past. A two-stage random sampling procedure is used to achieve this goal. In the first step, n subplots are selected from N subplots by simple random sampling without replacement; in the second step, m sampling sites are chosen within each of the n selected subplots. Thus n · m soil samples are collected for each soil layer. The idea of the composite sample design comes from the challenge of reducing very expensive laboratory analyses: m laboratory samples from one subplot and one soil layer are physically mixed to form a composite sample. From each of the n selected subplots, one composite sample per soil layer is analyzed in the laboratory, thus n per soil layer in total. In this paper we show that the cost is reduced by the factor m — 1 when instead of the two-stage sampling its composite sample alternative is used; however, the variance of the composite sample mean is increased. In the case of positive intraclass correlation the increase is less than 12.5%; in the case of negative intraclass correlation the increase depends on the properties of the variable as well. For the univariate case we derive the optimal number of subplots and sampling sites. A case study is discussed at the end.     

Difference in the net value of ecological services between natural and artificial forests in China

Land degradation is a global problem that seriously threatens human society. However, in China and elsewhere, ecological restoration still largely relies on a traditional approach that focuses only on ecological factors and ignores socioeconomic factors. To improve the effectiveness of ecological restoration and maximize its economic and ecological benefits, a more efficient approach is needed that provides support for policy development and land management and thereby promotes environmental conservation. We devised a framework for assessing the value of ecosystem services that remain after subtracting costs, such as the opportunity costs, costs of forest protection, and costs for the people who are affected by the program; that is, the net value of ecosystem services (NVES). To understand the difference between the value of a resource and the net value of the ecosystem service it provides, we used data on VES, timber sales, and afforestation costs from China's massive national afforestation programs to calculate the net value of forest ecosystem services in China. Accounting for the abovementioned costs revealed an NVES of ¥6.1 × 10¹² for forests in 2014, which was 35.9% less than the value calculated without accounting for costs. As a result, the NVES associated with afforestation was 55.9% less than the NVES of natural forests. In some regions, NVES was negative because of the huge costs of human-made plantations, high evapotranspiration rates (thus, high water opportunity costs), and low forest survival rates. To maximize the ecological benefits of conservation, it is necessary to account for as many costs as possible so that management decisions can be based on NVES, thereby helping managers choose projects that maximize both economic and ecological benefits.