中国土地生产力变化的情景分析

中国土地生产力变化态势是当前国内外学术界、决策界关注的焦点问题之一.介绍了土地生产力估算系统(ESLP)的原理与功能模块并利用该系统研究了中国土地生产力的变化态势.ESLP是在气温、降水、辐射水平、土壤质地等自然因素控制下,受土地利用方向与强度影响的,考虑土地系统不同的投入水平和管理措施的区域土地生产力估算系统.ESLP关注土地生产力变化的时空动态,能表达出不同投入管理水平下土地生产力的时空变化.文章应用ESLP研究了1988年和2000年中国土地生产力变化及其空间分异特征,将估算结果与1988年和2000年全国分县粮食产量数据的比较与验证表明,基于ESLP估算的各县土地生产力与各县粮食总产量具有很高的相关性,在一定程度上反映一个区域的粮食生产能力.在此基础上,应用ESLP预测了2010与2020年在气候变化情景下土地生产力的变化,预测结果显示,虽然局部地区土地生产力有小幅减少趋势,但从全国来看,土地生产力增长趋势明显.平均来看,2010年比2000年增长4.4%,而到2020年,土地生产力的增长幅度达到10.7%.不过在各个农业生态分区上,不同年份土地生产力变化差异较大,在2010年和2020年长江中下游区土地生产力均呈一定幅度的下降,而甘新区和西藏区只在2010年土地生产力有小幅下降.该研究结论对我国编制土地利用规划与粮食生产方面的决策具有重要的参考价值.     

Waste gasification vs. conventional Waste-to-Energy: a comparative evaluation of two commercial technologies

A number of waste gasification technologies are currently proposed as an alternative to conventional Waste-to-Energy (WtE) plants. Assessing their potential is made difficult by the scarce operating experience and the fragmentary data available. After defining a conceptual framework to classify and assess waste gasification technologies, this paper compares two of the proposed technologies with conventional WtE plants. Performances are evaluated by proprietary software developed at Politecnico di Milano and compared on the basis of a coherent set of assumptions. Since the two gasification technologies are configured as “two-step oxidation” processes, their energy performances are very similar to those of conventional plants. The potential benefits that may justify their adoption relate to material recovery and operation/emission control: recovery of metals in non-oxidized form; collection of ashes in inert, vitrified form; combustion control; lower generation of some pollutants.     

Closed population estimation models and their extensions in Program MARK

Program MARK provides > 65 data types in a common configuration for the estimation of population parameters from mark-encounter data. Encounter information from live captures, live resightings, and dead recoveries can be incorporated to estimate demographic parameters. Available estimates include survival (S or ϕ), rate of population change (λ), transition rates between strata (Ψ), emigration and immigration rates, and population size (N). Although N is the parameter most often desired by biologists, N is one of the most difficult parameters to estimate precisely without bias for a geographically and demographically closed population. The set of closed population estimation models available in Program MARK incorporate time (t) and behavioral (b) variation, and individual heterogeneity (h) in the estimation of capture and recapture probabilities in a likelihood framework. The full range of models from M ₀ (null model with all capture and recapture probabilities equal) to M _tbh are possible, including the ability to include temporal, group, and individual covariates to model capture and recapture probabilities. Both the full likelihood formulation of Otis et al. (1978) and the conditional model formulation of Huggins (1989, 1991) and Alho (1990) are provided in Program MARK, and all of these models are incorporated into the robust design (Kendall et al. 1995, 1997; Kendall and Nichols 1995) and robust-design multistrata (Hestbeck et al. 1991, Brownie et al. 1993) data types. Model selection is performed with AICc (Burnham and Anderson 2002) and model averaging (Burnham and Anderson 2002) is available in Program MARK to provide estimates of N with standard error that reflect model selection uncertainty.     

Improved strategies for coverage estimation by using replicated line-intercept sampling

Coverage, i.e., the area covered by the target attribute in the study region, is a key parameter in many surveys. Coverage estimation is usually performed by adopting a replicated protocol based on line-intercept sampling coupled with a suitable linear homogeneous estimator. Since coverage is a parameter which may be interestingly represented as the integral of a suitable function, improved Monte Carlo strategies for implementing the replicated protocol are introduced in order to achieve estimators with small variance rates. In addition, new specific theoretical results on Monte Carlo integration methods are given to deal with the integrand functions arising in the special coverage estimation setting.

TROPICAL EUTROPHIC LAKE MODELING AND PARAMETER DISCRIMINATION1

ABSTRACT: Water quality data collected between 1978 and 1981 in a highly lake in Northern Venezuela, Lake Valencia, were analyzed to detect spatial and temporal trends. Based on the results of the analyses, an appropriate nutrient-algae dynamics model was formulated. Because many parameters, such as the algae concentration were constant over time, and the model is time dependent, the model had to be calibrated with the use of a large and structured trial-and-error calibration process. Through the calibration process, the most sensitive parameters of the model were identified, and are in order of importance: the chlorophyll-to-nitrogen ratio for algae, the algae settling velocity, the phosphorus release rate from the sediments, the chlorophyll-to-phosphorus ratio for algae, and the exchange coefficient in the upper layer of the lake. Model simulations showed that a reduction in the nitrogen load to the lake as well as a reduction in the phosphorus load will decrease the algae population. These model simulations had a high degree of uncertainty associated with them, making additional sampling directed towards the measurement of the sensitive parameters desirable.     

中国的地震灾害损失预测

估计某个地区未来将会遭到多大的地震灾害损失.对于减轻地震灾害是十分重要的科学问题.因力地震预防和救灾的基础是对未来地震灾害的定量估计.地震灾害主要由两方面因素决定.一方面是未来地震动强烈程度的估计(地震危险性分析).另一方面是各个地震动等级对社会、经济、人口等所造成的损害程度估计(地震易损性分析). 本文介绍了以上两方面研究工作的进展,以及国家地震局“未来地震灾害损失预测研究组”试编的中国未来50年地震灾害损失预测图及其应用.讨论了在灾害预测方面所遇到的科学问题.     

海水法烟气脱硫排水水质的估算和分析

对烟气海水法脱硫的排水水质进行了定量估算,并讨论了工艺排水对附近海域水质的影响.     

ASM1改进模型简介及应用

Twostepmantis模型是在ASM1模型基础上发展而成,它可对碳氧化、传统硝化反硝化、同时硝化反硝化过程、好氧反硝化进行模拟。应用Twostepmantis模型,对一序批式活性污泥法(SBR)实验进行模拟预测,结果表明,模型确实可以很有效解释大部分实验数据。     

起重机结构疲劳剩余寿命评估方法研究

针对机械结构的主要破坏形式——疲劳破坏,以桥式起重机焊接箱形主梁为研究对象,根据断裂力学Paris-Erdogan方程,结合Miner疲劳损伤累积理论,应用实验所得数据,推导出疲劳剩余寿命公式。采集不同类型,不同额定起重量起重机一段时间内相应起重量的工作次数数据,以模拟出危险点处相应的载荷谱。以VC++为开发平台,研制完成桥式起重机疲劳剩余寿命评估软件。该软件可模拟实现普通、铸造桥式起重机的疲劳剩余寿命估算,并与实验结果进行比较,表明具有较高的吻合性和实用性。     

Approaches to Evaluate Water Quality Model Parameter Uncertainty for Adaptive TMDL Implementation1

Abstract: The National Research Council recommended Adaptive Total Maximum Daily Load implementation with the recognition that the predictive uncertainty of water quality models can be high. Quantifying predictive uncertainty provides important information for model selection and decision‐making. We review five methods that have been used with water quality models to evaluate model parameter and predictive uncertainty. These methods (1) Regionalized Sensitivity Analysis, (2) Generalized Likelihood Uncertainty Estimation, (3) Bayesian Monte Carlo, (4) Importance Sampling, and (5) Markov Chain Monte Carlo (MCMC) are based on similar concepts; their development over time was facilitated by the increasing availability of fast, cheap computers. Using a Streeter‐Phelps model as an example we show that, applied consistently, these methods give compatible results. Thus, all of these methods can, in principle, provide useful sets of parameter values that can be used to evaluate model predictive uncertainty, though, in practice, some are quickly limited by the “curse of dimensionality” or may have difficulty evaluating irregularly shaped parameter spaces. Adaptive implementation invites model updating, as new data become available reflecting water‐body responses to pollutant load reductions, and a Bayesian approach using MCMC is particularly handy for that task.