Modes of selenium occurrence and LCD modeling of selenite desorption/adsorption in soils around the selenium-rich core,Ziyang County,China

Studying the modes of selenium occurrence in high-Se soils and its behaviors can improve understanding and evaluating its cycling, flux, and balance in geo-ecosystems and its influence on health. In this paper, using a modified sequential chemical extraction technique, seven operationally defined selenium fractions and Se valence distribution were determined about five soils in which paddy was planted (W1, W2, W3, W4, W5) and five soils in which maize was planted (H1, H2, H3, H4, H5) around the selenium-rich core, Ziyang County, Shaanxi Province, China. The results show that selenium fractions in the soils mainly include sulfide/selenide and base-soluble Se, and ligand-exchangeable Se is also high for five soils in which paddy was planted. For water-soluble Se, Se (IV) is main Se valence and almost no Se (VI) was determined about five soils in which paddy was planted, while almost 1:1 of Se (IV) and Se (VI) coexist about five soils in which maize was planted. For exchangeable Se, similar results were found. For the first time, two typical high-Se soils (W1 soil and H1 soil) were chosen to measure the pH-dependent solid-solution distribution of selenite in the pH range 3–9, and the results were explained using LCD (ligand and charge distribution) adsorption modeling. The desorbed selenite concentrations from the two soils are in general underestimated by the model due to a comparable binding affinity of phosphate and selenite on goethite and much lower amount of total selenite than total reactively adsorbed phosphate. The pH dependency of adsorption of selenite added to the soil can be successfully described with the LCD model for W1 soil. Whereas considering the influence of Al-oxides, by lowering selenite adsorption affinity constant K of Se adsorption on goethite by 16 times, the LCD model can describe the adsorption much better. The results can help to understand selenium cycling, flux, and balance in typical high-Se soils.

     

长株潭城市群农业用地损失的动态模拟研究

对城市群发展过程中的农业用地损失进行动态模拟研究,有助于准确归纳其损失的趋势和机制,为农业用地保护规划的制定提供依据。以长株潭城市群为例,通过遥感影像图的收集与处理以及空间数据库、方格网系统、十二向玫瑰图和三维山丘图的构建,对城市群扩张和农业用地损失的过程进行动态模拟,通过离心模型归纳导致农业用地损失的动力机制,并对2020、2025年的农业用地损失情况进行预测。结果显示:城镇建成区扩张是长株潭城市群农业用地损失最主要的原因。伴随着城市群空间结构的演变,农业用地损失经历了"中心区主导—中心区与产业园区共同主导—连绵式损失"的过程。如不加以控制,至2025年,一个总面积达1 500 km~2,呈连绵状分布的超大型都市区将在长株潭城市群形成,现有中心城区、产业园区之间的农业用地将逐渐消失殆尽,从而造成难以弥补的环境损失。从空间规划上优化城市群的空间结构和发展方式,从政策法规上对侵占行为进行严格控制,是保护农业用地的关键所在。研究有望为我国城市群环境保护规划的制定提供方法论参考。     

广州市城中村污水治理的探讨

本文主要针对广州市城中村进行了全面梳理,按照其功能类型进行分类,并在此基础上对典型城中村污水治理现状进行了实证调研。从现实来看,广州市大量的城中村污水治理不可能在短时间内完成,如果缺乏系统的规划治理,新的城中村依然还会出现污水治理问题,因此,解决城中村污水治理问题必须以现实情况为着眼点,找到破解当前治理的路径,才能完成国家和广东省对广州黑臭河涌治理部署要求,从而实现广州水环境根本好转的目标。     

土壤重金属分布特征及生态风险评价——以福建某农田保护区为例

土壤的重金属含量情况是反应土壤受污染情况的重要指标,也是体现土地出产农产品健康质量的重要信号,因而受到越来越多的高度关注。本文以福建省闽某地区域内的农田保护区为研究对象,对农田土壤的重金属含量进行检测,采用科学研究方法 ,对重金属分布特征、污染现状及潜在风险进行分析评价,深入查找形成因素,以期为更好地保护和开发当地土地资源,促进农田经济的可持续发展提供科学依据。     

华东某铀矿区周边河流表层沉积物的天然放射性评价

利用高纯锗γ能谱分析仪测量中国华东某铀矿区附近河流沉积物的放射性核素比活度,计算γ辐射吸收剂量率(D)、有效镭浓度(Ra_(eq))、外照射指数(H_(ex))、内照射指数(H_(in))、年有效剂量当量(AEDE(室内和室外))和年性腺剂量当量(AGDE)等放射性参数,并开展沉积物的放射性危害评估,最后通过Pearson线性系数确定放射性核素比活度之间的相关性。结果表明,河流沉积物中放射性核素~(238)U、~(226)Ra、~(232)Th和40K的平均比活度分别为51.55、37.32、57.63和756.86 Bq·kg~(-1),除~(226)Ra外,其他放射性核素的比活度均高于中国平均值;距离污染区较远或存在河流稀释作用的区域,沉积物的天然放射性核素处于正常水平,作为建筑材料使用时比活度不存在超标;放射性核素~(238)U、~(226)Ra和~(232)Th之间存在显著相关性。     

Identifying factors that influence soil heavy metals by using categorical regression analysis: A case study in Beijing,China

A method was proposed to identify the main influence factors of soil heavy metals. The influence degree of different environmental factors was ranked. Parent material, soil type, land use and industrial activity were main factors. Interactions between some factors obviously affected soil heavy metal distribution. Identifying the factors that influence the heavy metal contents of soil could reveal the sources of soil heavy metal pollution. In this study, a categorical regression was used to identify the factors that influence soil heavy metals. First, environmental factors were associated with soil heavy metal data, and then, the degree of influence of different factors on the soil heavy metal contents in Beijing was analyzed using a categorical regression. The results showed that the soil parent material, soil type, land use type, and industrial activity were the main influencing factors, which suggested that these four factors were important sources of soil heavy metals in Beijing. In addition, population density had a certain influence on the soil Pb and Zn contents. The distribution of soil As, Cd, Pb, and Zn was markedly influenced by interactions, such as traffic activity and land use type, industrial activity and population density. The spatial distribution of soil heavy metal hotspots corresponded well with the influencing factors, such as industrial activity, population density, and soil parent material. In this study, the main factors affecting soil heavy metals were identified, and the degree of their influence was ranked. A categorical regression represents a suitable method for identifying the factors that influence soil heavy metal contents and could be used to study the genetic process of regional soil heavy metal pollution.     

Environmental benefits evaluation of coal-to-electricity project in Beijing,China

Environmental Science and Pollution Research - The coal-to-electricity project (CTEP) using electricity instead of coal for heating is a significant measure to cope with climate change and air...     

Conceptual Framework of Tourism Carrying Capacity for a Tourism City： Experiences from National Parks in the United States

There is no universally-accepted definition of tourism carrying capacity(TCC).Numerical TCC focuses on use level and is considered as"a magic number"of the saturation point for tourism.There are several reasons why numerical tourism capacity is inadequate.Alternatively,tourism capacity can be defined in terms of limits of acceptable change,which shifts the focus from"how much use is too much"to"how much change is acceptable".This article proposes an improved conceptual framework for evaluating carrying capacity for the tourism city based on approaches used in US national parks,which consider the impact of human use on a city's economic,environmental/resource,and socio-cultural conditions.Based on the basic data of indicator values and relevant standards,the framework monitors the current indicators and predicts future indicator values; it can also be used to assess and predict TCC.     

Pyrolysis characteristics of organic components of municipal solid waste at high heating rates

The pyrolysis characteristics of six representative organic components of municipal solid waste (MSW) and their mixtures were studied in a specially designed thermogravimetric analysis apparatus with a maximum recorded heating rate of 864.8 degrees Cmin(-1). The pyrolysis behavior of individual components was described by the Avrami-Erofeev equation. The influence of final temperature on individual components was studied, and it was concluded that final temperature was a factor in reaction speed and intensity, but that it played only a limited role in determining the reaction mechanism. The interactions between different components were evaluated, and it was concluded that the interaction between homogeneous materials was minimal, whereas the interaction between polyethylene and biomass was significant.     

Managing Manure from China’s Pigs and Poultry: The Influence of Ecological Rationality

We have investigated manure management practices at three farm scales in Chinese pig and poultry production. The concept of ecological rationality was employed to explore empirically how environmental concerns drive adoption of environmental-friendly manure management technologies at different farm scales. The more developed Rudong County in Jiangsu Province and the less developed Zhongjiang County in Sichuan Province were chosen as cases for study of 258 animal breeders. On the contrary to our hypothesis, medium-scale farmers were not always found to be laggards in adoption of manure management technologies. Government ecological rationality played a key role to induce environmental-friendly technology adoption on its own, but also in cooperation with ecologically rational individual or network drivers. Authorities no longer applied their efforts in a conventional command-and-control way, but more in the form of incentives, stimulation, and information to farmers. Individual farmers in general showed low environmental responsibility in relation to manure handling.