基于生命周期的循环农业系统评价

针对"循环经济系统是低碳经济的实现途径之一"的观点,在国内外研究的基础上,改进LCA模型,以湖南某典型的循环鸭业产业进行实证研究.整个鸭产业生命周期中耗用的不可再生资源、土地、水资源分别为48.629MJ、2.36m2和1321.41kg,潜在的温室气体、环境酸化、富营养化、人体毒性、水体毒性、土壤毒性分别为11543.26g(CO2eq)、52.36g(SO2eq)、25.83g(PO4eq)、1.26、60.74、24.65g(1,4-DCBeq),加权评估后,富营养化、水体毒性、土壤毒性潜在威胁均高于温室气体.结果表明,建立在传统生产模式上的循环农业适宜"适度循环";循环农业不能盲目追求低碳发展,在降低碳排放的同时还须考虑土壤和生物固碳,才能全面评价碳排放问题;循环经济和循环农业在评估碳排放的同时,还需对环境酸化、富营养化、生态毒性等其他生态指标进行评估,建立系统评价体系;LCA能够较好地对循环农业进行整体评价,值得进一步研究.     

城镇环境规划

文章主要探讨了编制小城镇环境规划的理论基础、指标体系、主要内容、城镇环境专题规划及其技术方法,重点对空气污染防治规划、水环境专题规划、噪声污染控制规划和城镇固体废物处理及处置专题规划作了具体分析,论证了正确处理城镇发展与环境保护之间的关系。改善城镇环境质量,促进城镇生态系统的良性循环,实现城镇的可持续发展,已成为各国政府环境保护工作的重点。     

我国城市污水处理

我国城市污水处理的现状以及当前全国城市污水厂普遍应用的污水处理工艺,在选择城市污水处理工艺时应考虑资金及土地资源方面的问题,通过开发新型高效污水处理工艺提高污水净化率和污水处理量。同时通过建立和完善城市污水处理制度,提高城市居民环保意识,污水处理走向市场化,实现社会与政府的共赢。     

基流对亚热带农业流域氮素输出的贡献研究

随着经济的迅猛发展和人民生活水平的逐步提高,亚热带农业小流域的面源污染日趋严峻,恶化的水体环境质量已经成为该区域可持续发展和生态文明建设的重要障碍.基流过程对流域生态水文过程有重要影响,因此本研究选取湖南省长沙县的脱甲和涧山两个农业小流域作为调查对象,通过流域观测和模型估算方法,对比分析2011年1月至2013年12月间流域基流过程对总氮(TN)输出的贡献.结果表明,在较高强度水稻种植的脱甲流域的月平均基流流量、平均基流TN流量加权浓度和平均基流对TN输出贡献[15.2 mm·month~(-1)、4.14 mg·L~(-1)和0.54 kg·(hm~2·month)~(-1)],均大于较低强度水稻种植的涧山流域[11.4 mm·month~(-1)、1.72 mg·L~(-1)和0.20 kg·(hm2·month)~(-1)].基流对TN输出贡献呈现明显的季节性变化,如在水稻生长季,脱甲和涧山流域基流对TN输出贡献分别为23.2%和18.6%,均低于休耕季的46.9%和40.0%,表明水稻种植会提高休耕季的流域基流过程对TN输出的贡献.因此,为缓解农业小流域水体面源污染,应当在农业小流域中实施合理的稻田管理措施来降低基流对TN输出的贡献.     

生态经济学视角下的循环农业：理论、实践与发展方向

农业经历了生态农业、化学农业到生态农业的变迁,生态农业是起点也是终点。发达国家饱尝了发展化学农业的苦果,随后转轨到生态农业的道路上,最后认识到只有发展循环农业才能够做到农业可持续发展。发达国家的循环农业特别强调生态内涵和变废为宝理念,政府的财政投入和科研投入力度很大。相比之下,我国虽然已经开始发展循环农业,但目前还并不普遍,化学农业还占有很大比例。学习吸收发达国家的经验,会让我国尽早走上循环农业的发展道路。循环农业是我国农业的发展方向,为了做到这一点,需要强化农业产业化力度、加大财政补贴力度和科研投入力度。     

水稻种植对中亚热带红壤丘陵区小流域氮磷养分输出的影响

以湖南省长沙县的脱甲流域(高水稻种植面积比例)和涧山流域(低水稻种植面积比例)为研究对象,对比研究红壤丘陵地区典型农业流域水稻种植对河流水体氮磷浓度和输出强度的影响.连续16个月的监测结果表明,脱甲和涧山流域河流水体均存在比较严重的养分污染,尤其是氮污染;对比两个流域,脱甲流域河流水体的氮磷浓度水平和水质恶化程度均高于涧山流域.从养分组成来看,脱甲流域河流水体中氮以铵态氮为主(占总氮的58.5%),而涧山流域主要是硝态氮(占总氮的76.1%).脱甲流域中可溶性磷占总磷比例为47.1%,高于涧山流域的37.5%.从养分浓度变化的时间动态而言,两个流域河流中各形态氮素水平在1~2月和7月较高,而可溶性磷和总磷在5~6月和10~12月出现两个峰值.由于两个流域河道径流主要集中在水稻种植期间的4~10月,脱甲流域河流中较高的氮磷养分浓度意味着潜在的氮磷流失风险.脱甲流域月平均总氮输出通量为1.67 kg·(hm2·月)-1,总磷为0.06 kg·(hm2·月)-1,均高于涧山流域的0.44 kg·(hm2·月)-1和0.02kg·(hm2·月)-1.考虑到两个流域的气候、地形地貌、土壤类型、农田耕作方式相似而只是水稻种植面积比例不同,因此,在该地区传统的水稻栽培管理模式下,较高面积比例的水稻种植对流域河流水体环境存在潜在威胁.     

城市环境总体规划中大气环境红线内涵及划定技术

城市环境总体规划是一项重大环境管理制度创新,目前全国已启动了24个城市的环境总体规划编制工作,其中划定环境红线是城市环境总体规划的核心内容。本文结合福州、宜昌、平潭等城市环境总体规划编制实践,首次提出了大气环境红线的技术框架,将大气环境红线划分为源头布局敏感区、污染易聚集区及敏感的环境受体三类,并创新性建立了大气环境红线划定技术方法,初步构建了适用于城市环境总体规划的空间规划技术体系。     

Potentially toxic metal contamination of urban soils and roadside dust in Shanghai, China

A detailed investigation was conducted to understand the contamination characteristics of a selected set of potentially toxic metals in Shanghai. The amount of Pb, Zn, Cu, Cr, Cd and Ni were determined from 273 soil/dust samples collected within urban area. The results indicated that concentration of all metals except Ni in soils was significant, and metal pollution was even severer in roadside dust. A series of metal spatial distribution maps were created through geostatistical analysis, and the pollution hotspots tended to associate with city core area, major road junctions, and the regions close to industrial zones. In attempt of identifying the source of metals through geostatistical and multivariate statistical analyses, it was concluded as follows: Pb, Zn and Cu mainly originated from traffic contaminants; soil Ni was associated with natural concentration; Cd largely came from point-sourced industrial pollution; and Cr, Ni in dust were mainly related to atmospheric deposition.     

Comparison of two metal surveys by moss Tortula ruralis in Budapest, Hungary

Moss transplants of Tortula ruralis were used as active biomonitoring organisms as part of a monitoring study to assess the metals (Al, Cd, Cu, Cr, Fe, Ni, Pb, V and Zn) associated with ambient particles on mosses in Budapest, the capital town of Hungary. The moss samples were collected in a nature conservation area from a semi-arid sand grassland (Festucetum vaginatae danubiale), less than 1 month before transplantation. Moss cushions were exposed to pollution in Budapest during October–November 1993 and February–March 1994. In the study area, 16 sites were marked out as measuring sites, in accordance with the structure of the city. A similar stand was established in the Botanical Gardens of the Szent István University in Gödöll? as a control site. ICP-AES analysis of moss for metals showed the ability of Tortula ruralis to accumulate the metals under study. Control site showed lower impact in comparison to the other sites.     

Suspended Particulate Matter Distribution in Rural-Industrial Satna and in Urban-Industrial South Delhi

An air quality sampling program was designed and implemented to collect the baseline concentrations of respirable suspended particulates (RSP = PM₁₀), non-respirable suspended particulates (NRSP) and fine suspended particulates (FSP = PM_2.5). Over a three-week period, a 24-h average concentrations were calculated from the samples collected at an industrial site in Southern Delhi and compared to datasets collected in Satna by Envirotech Limited, Okhla, Delhi in order to establish the characteristic difference in emission patterns. PM_2.5, PM₁₀, and total suspended particulates (TSP) concentrations at Satna were 20.5 ± 6.0, 102.1 ± 41.1, and 387.6 ± 222.4 μg m⁻³ and at Delhi were 126.7 ± 28.6, 268.6 ± 39.1, and 687.7 ± 117.4 μg m⁻³. Values at Delhi were well above the standard limit for 24-h PM_2.5 United States National Ambient Air Quality Standards (USNAAQS; 65 μg m⁻³), while values at Satna were under the standard limit. Results were compared with various worldwide studies. These comparisons suggest an immediate need for the promulgation of new PM_2.5 standards. The position of PM₁₀ in Delhi is drastic and needs an immediate attention. PM₁₀ levels at Delhi were also well above the standard limit for 24-h PM₁₀ National Ambient Air Quality Standards (NAAQS; 150 μg m⁻³), while levels at Satna remained under the standard limit. PM_2.5/PM₁₀ values were also calculated to determine PM_2.5 contribution. At Satna, PM_2.5 contribution to PM₁₀ was only 20% compared to 47% in Delhi. TSP values at Delhi were well above, while TSP values at Satna were under, the standard limit for 24-h TSP NAAQS (500 μg m⁻³). At Satna, the PM₁₀ contribution to TSP was only 26% compared to 39% in Delhi. The correlation between PM₁₀, PM_2.5, and TSP were also calculated in order to gain an insight to their sources. Both in Satna and in Delhi, none of the sources was dominant a varied pattern of emissions was obtained, showing the presence of heterogeneous emission density and that nonrespirable suspended particulate (NRSP) formed the greatest part of the particulate load.