城市适度人口分析方法及其应用

考虑资源承载力 (R)和生活舒适度 (S)对适度人口的影响 ,以不同经济发展水平下的人口现状为依据 ,提出R S双向寻优方法进行城市适度人口分析 .并以广州市为例 ,寻求其最优人口容量 .结果表明 ,现有资源承载力与经济水平下的广州人口规模略高于适度人口规模 ,需要进行人口与经济密度的重新布局 .     

中日农村环境管理对比及对中国的启示

日本与我国在历史上同属传统的东亚小农经济国家,在社会、经济、文化等方面的发展历程和存在的问题具有共通性。日本的农村生态环境管理随社会经济发展不断调整适应,政府也数次推动乡村振兴。对比研究中日两国农村环境管理及其背后的社会经济因素,虽然两国在农村环境管理上有相似性,但也有较大不同,我国不能完全照搬日本的农村环境管理体制机制,必须走一条适应我国国情的特色道路,循序渐进推进农业农村污染防治。在开展农村环保工作的具体举措上,日本也有较多可借鉴之处:一是以完善的法规政策体系保障农村环境管理;二是以精准的财政补贴支撑农村环境管理;三是以科学的规划和技术标准体系服务农村环境管理;四是以规范的行业和市场服务体系推动农村环境管理;五是以亲民务实的环境宣传教育助力农村环境管理。     

Population Growth, Available Resources, and Quality of Life： China＇s Post-Reform Economic Development

Two opposing intellectual traditions and their contem- porary developments regarding the relations among population, available resources, and quality of life as reflected in economic growth are reviewe...     

温州市粮食生产潜力及土地人口承载力研究

在光能生产潜力计算的基础上,经过温度、降水、土壤肥力和土壤质量等自然因素的订正,分析了温州市的土地生产潜力、粮食生产潜力。通过对温州市历年来主要粮食作物产量分析,采用产潜比增长速度法预测了２０００年和２０１０年的粮食产量,并据此计算了２０００年、２０１０年和潜在最大的人口承载量,指出温州市建立稳定协调可持续发展的人地关系的关键。     

Climatic change and urbanization effect in China

Climatic change and urbanization effect in China during the last 39 years were investigated. It is found that a warming of about 0.23℃ for the annual temperature has been noticed from 1951 to 1989. The warmings of about 0.78 ℃ in winter and 0.34 3℃ in spring have been shown. It is also presented that a cooling of about -0.27℃ in summer has been indicated. The bigger cities are warmer than smaller cities in China. The dried trends in the annual precipitation during the last 39 years were presented. The precipitation decreased obviously in summer all over China. The bigger cities were drier than smaller cities.     

The impact of urban planning on land use and land cover in Pudong of Shanghai,China

Functional zones in cities constitute the most conspicuous components of newly developed urban areas,and have been a hot spot for domestic and foreign investors in China,which not only show the expanse of urban space accompanied by the shifts both in landscape(from rural to urban)and land use(from less extensive to extensive),but also display the transformation of regional ecological functions.By using the theories and methods of landscape ecology,the structure of landscapes and landscape ecological planning can be analyzed and evaluated for studying the urban functional zones‘layout.In 1990,the Central Govermment of China declared to develop and open up Pudong New Area so as to promote economic development in Shanghai.Benefited from the advantages of Shanghai‘s location and economy,the government of Pudong New Area has successively built up 7 different functional zones over the past decade according to their functions and strategic goals.Based on the multi-spectral satellite imageries taken in 1990,1997and 2000,a landscape ecolgy analysis was carried out for Pudong New Area of Sanghai ,supported by GIS technology.Green space(including croplands )and built-up areas are the major factors considered in developing urban landscape.This paper was mainly concerned with the different spatial patterns and dynamics of green space,built-up areas and new buildings in different functional zones,as influenced by different spatial patterns and dynamics of green space,built-up areas and new buildings in different functional zones,as influenced by different functional layouts and development strategies.The rapid urbanization in Pudong New Area resulted in a more homogeneous landscape.Agricultural landscape and suburban landscape were gradually replaced by urban landscape as the degree of urbanization increased.As a consequence of urbanization in Pudong,not only built-up patches,but also newly-built patches and green patches merged into one large patch,which should be attributed to the construction policy of extensive green space as the urban development process in Pudong New Area.The shape of green area of 7 functional zones became more and more regular because of the horticultural needs in Shanghai urban planning.Some suggestions were finally made for the study of future urban planning and layout.     

Analysing the sensitivity behaviour of two hydrology models

Recently, the New Morris Method has been presented as an effective sensitivity analysis tool for mathematical models. The New Morris Method estimates the sensitivity of an output parameter to a given set of input parameters (first-order effects) and the extent these parameters interact with each other (second-order effects). This method requires the specification of two parameters (runs and resolution) that control the sampling of the output parameter to determine its sensitivity to various inputs. The criteria for these parameters have been set on the analysis of a well-behaved analytical function (see Cropp and Braddock, Reliab. Eng. Syst. Saf. 78:77–83, 2002), which may not be applicable to other physical models that describe complex processes. This paper will investigate the appropriateness of the criteria from (Cropp and Braddock, 2002) and hence the effectiveness of the New Morris Method to determine the sensitivity behaviour of two hydrologic models: the Soil Erosion and Deposition System and Griffith University Representation of Urban Hydrology. In the first case, this paper will separately analyse the sensitivity of an output parameter on a set of input parameters (first- and second-order effects) for each model and discuss the physical meaning of these sensitivities. This will be followed by an investigation into the sampling criteria by exploring the convergence of the sensitivity behaviour for each model as the sampling of the parameter space is increased. By comparing these trends to the convergence behaviour from Cropp and Braddock (2002), we will determine how well the New Morris Method estimates the sensitivity for each model and whether the sampling criteria are appropriate for these models. It will be shown that the New Morris Method can provide additional insight into the functioning of these models, and that, under a different metric, the sensitivity behaviour of these models does converge confirming the sampling criteria set by Cropp and Braddock.     

沈抚新城地下水中PAHs的污染特征及健康风险评价

为了保障浑河流域处于正在进行城镇化沈抚新城居民的生活用水安全,采集该地区49个地下水样品对16种US EPA优控的多环芳烃(PAHs)进行了分析,并对PAHs的污染水平、空间分布、来源与饮水健康风险进行了调查与评估.结果表明:49个采样点均有不同程度的PAHs检出,地下水中PAHs的浓度范围为(4.38~2 005.02 ng·L~(-1)),平均浓度值为(414.64±526.13) ng·L~(-1),与国内外其他地区地下水对比,处于较高污染水平.地下水中PAHs主要以3环和4环为主,其平均浓度分别为(190.93±238.96) ng·L~(-1)和(140.01±234.69) ng·L~(-1),两者占总PAHs含量的80%.枯水期的地下水中PAHs空间分布受土地利用类型影响较大,当表层土壤为耕地时,地下水PAHs浓度较大,而为林地时PAHs浓度较小.由主成分分析-多元线性回归结果得知,地下水中PAHs主要来源于汽油和天然气的不完全燃烧、煤炭燃烧、石油泄漏以及交通排放,其贡献率依次为36.26%、32.72%、28.17%和2.87%.不同人群通过饮用地下水暴露于PAHs的终生致癌风险ILCR值范围为5.55×10-10~5.65×10-6,其中13.60%的值处于10-6~10-4之间,具有潜在的癌症风险,需引起对地下水质量的关注.     

Estimating abundance without recaptures of marked pallid sturgeon in the Mississippi River

Abundance estimates are essential for assessing the viability of populations and the risks posed by alternative management actions. An effort to estimate abundance via a repeated mark‐recapture experiment may fail to recapture marked individuals. We devised a method for obtaining lower bounds on abundance in the absence of recaptures for both panmictic and spatially structured populations. The method assumes few enough recaptures were expected to be missed by random chance. The upper Bayesian credible limit on expected recaptures allows probabilistic statements about the minimum number of individuals present in the population. We applied this method to data from a 12‐year survey of pallid sturgeon (Scaphirhynchus albus) in the lower and middle Mississippi River (U.S.A.). None of the 241 individuals marked was recaptured in the survey. After accounting for survival and movement, our model‐averaged estimate of the total abundance of pallid sturgeon ≥3 years old in the study area had a 1%, 5%, or 25% chance of being <4,600, 7,000, or 15,000, respectively. When we assumed fish were distributed in proportion to survey catch per unit effort, the farthest downstream reach in the survey hosted at least 4.5–15 fish per river kilometer (rkm), whereas the remainder of the reaches in the lower and middle Mississippi River hosted at least 2.6–8.5 fish/rkm for all model variations examined. The lower Mississippi River had an average density of pallid sturgeon ≥3 years old of at least 3.0–9.8 fish/rkm. The choice of Bayesian prior was the largest source of uncertainty we considered but did not alter the order of magnitude of lower bounds. Nil‐recapture estimates of abundance are highly uncertain and require careful communication but can deliver insights from experiments that might otherwise be considered a failure.     

Investigating cumulative effects across ecological scales

Species, habitats, and ecosystems are increasingly exposed to multiple anthropogenic stressors, fueling a rapidly expanding research program to understand the cumulative impacts of these environmental modifications. Since the 1970s, a growing set of methods has been developed through two parallel, sometimes connected, streams of research within the applied and academic realms to assess cumulative effects. Past reviews of cumulative effects assessment (CEA) methods focused on approaches used by practitioners. Academic research has developed several distinct and novel approaches to conducting CEA. Understanding the suite of methods that exist will help practitioners and academics better address various ecological foci (physiological responses, population impacts, ecosystem impacts) and ecological complexities (synergistic effects, impacts across space and time). We reviewed 6 categories of methods (experimental, meta-analysis, single-species modeling, mapping, qualitative modeling, and multispecies modeling) and examined the ability of those methods to address different levels of complexity. We focused on research gaps and emerging priorities. We found that no single method assessed impacts across the 4 ecological foci and 6 ecological complexities considered. We propose that methods can be used in combination to improve understanding such that multimodel inference can provide a suite of comparable outputs, mapping methods can help prioritize localized models or experimental gaps, and future experiments can be paired from the outset with models they will inform.