Study on the Programming Standard for Ecological Rescue in General Land Use Planning

This paper aims at establishing the operation idea based on the analysis of the connotation,principles and reference indexes for programming standard for ecological rescue.The paper puts forward that the programming standard should take into account the natural,social and economic reference indexes,and modifies the scale and distribution of the ecological rescue according to the order of ecological safety,social safety and economic development.The paper suggests that the land planning department should strengthen the study and datum accumulation in order to establish the technology regulations of programming standard of the ecological rescue.     

Optimizing the horizontal structural diversity in uneven-aged northern hardwood stands

Two mathematical programming formulations are presented which allow the determination of diameter distributions that maximize the diameter class diversity in uneven-aged northern hardwood stands. Distributions generated from these models were found to be comparable from a management standpoint and could be incorporated into existing linear programming models as alternative management scenarios. The models presented here provide an initial framework for quantitatively addressing the requirements of the US National Forest Management Act in matters of diversity in the planning process.     

土地整治项目区耕地资源优化配置研究

耕地细碎化会导致农业生产效率降低、土地利用可持续性下降、耕地撂荒增多等多种农业问题,土地整治是当前中国改善耕地细碎化的重要途径之一。为探索适宜的土地整治计量模型以解决耕地资源优化配置问题,基于多目标线性规划,从工程设计、权属调整、地块分配三方面构建土地整治项目区耕地资源优化配置模型,并选取典型土地整治项目进行案例分析。研究结果表明：通过模型优化,案例区农业生产消耗降低了20.41%、地块平均规模增大了53.72%、户均地块数降低了34.92%,平均耕作距离减小了68.17%,可促进耕地细碎化问题的改善,有利于农业生产效率的提升。研究对丰富土地整治规划设计方法,推动耕地细碎化问题解决具有参考和借鉴意义。     

An interval type-2 fuzzy stochastic approach for regional-scale electric power system under parameter uncertainty

In this study, an interval type-2 fuzzy stochastic linear programming method (IT2FSLP) is developed to support regional-scale electric power system (REM) planning. The IT2FSLP-REM model is based on an integration of interval type-2 fuzzy sets boundary programming and stochastic linear programming techniques enable it to have robust abilities to the deal with uncertainties expressed as type-2 fuzzy intervals and probabilistic distributions within a general optimization framework. Moreover, it can reflect dynamic decisions for energy supply and energy conversion processes, as well as provide capacity expansion options with multiple periods. The developed model is applied to a case of planning regional-scale energy and environmental systems to demonstrate its applicability. Based on a two-step solution algorithm, reasonable solutions have been obtained, which reflect tradeoffs among economic cost, environmental requirements, and energy-supply security. Thus, the lower and upper solutions of IT2FSLP-REM would then help energy authorities adjust or justify allocation patterns of regional energy resources and services.     

A unique intelligent approach for forecasting project completion time in oil refineries

This study presents a hybrid approach for accurate forecasting of project completion time with noisy and uncertain safety factors in oil refineries. The hybrid approach is based on artificial neural network (ANN), fuzzy mathematical programming (FMP) and conventional regression. Three indictors, namely, number of occupational injuries, number of employees and ratio of maximum useful hours over useful hour per month are considered as inputs. Also, project completion time is considered as the main output. To achieve the objective of this study, five sets of data with respect to oil refinery construction projects in various cities of Iran are collected and analyzed through statistical methods. It is shown that for the actual case of this study, ANN presents lowest mean absolute percentage error (MAPE). Also, analysis of variance (ANOVA) is used to verify and validate the results of this study. This is the first study that presents a hybrid approach for accurate estimation and forecasting of project completion time with complex, noisy and uncertain occupational factors.     

Scenarios of global bioenergy production: The trade-offs between agricultural expansion, intensification and trade

Increased future demands for food, fibre and fuels from biomass can only be met if the available land and water resources on a global scale are used and managed as efficiently as possible. The main routes for making the global agricultural system more productive are through intensification and technological change on currently used agricultural land, land expansion into currently non-agricultural areas, and international trade in agricultural commodities and processed goods. In order to analyse the trade-offs and synergies between these options, we present a global bio-economic modelling approach with a special focus on spatially explicit land and water constraints as well as technological change in agricultural production. For a global bioenergy demand scenario reaching 100 ExaJoule (EJ) until 2055 we derive a required rate of productivity increase on agricultural land between 1.2 and 1.4 percent per year under different land allocation options. A very high pressure for yield increase occurs in Sub-Saharan Africa and the Middle East, even without additional bioenergy demand. Moreover, we analyse the implicit values (shadow prices) of limited water resources. The shadow prices for bioenergy are provided as a metric for assessing the trade-offs between different land allocation options and as a link between the agricultural and energy sector.     

针对大尺度区域的大气环境容量综合估算方法

针对大尺度区域的特点,提出了将箱模型法、模拟法与线性规划法相结合的大气环境容量估算方法.其基本思路是将大尺度区域划分为一系列小区域,将真实污染源简化为源单元,基于线性规划法寻求区域最大容量及其优化配置方案.采用箱模型以保证源单元尺度的环境质量要求,采用模拟法以考虑二次污染对前体物环境容量的制约,将箱模型容量与模拟法容量作为规划法的约束条件.新方法使3种传统方法相互取长补短,其显著特征表现为:兼顾了污染源的局地性和区域性的影响;兼顾了污染物的一次影响和二次影响;大气环境容量的规划布局具有区域优化特征.应用新方法对我国东南沿海某区域进行了大气环境容量的评估试验,结果表明该方法合理可行.     

大鹏湾环境容量研究Ⅱ:环境容量规划

采用基于响应场的线性规划方法,考虑非点源与湾外污染物输入形成的本底值,结合深圳沿岸排污口的分布计算了大鹏湾的环境容量,并给出了总量分配方案.结果表明,大鹏湾物理自净能力差,但水体容量大,具有较大的稀释容量,加上污染物的生化降解,大鹏湾具有较大的环境容量.BOD5、总氮、总磷的最大允许排放总量分别为79.0,11.418,0.86t/d,BOD5、总氮、总磷的剩余环境容量分别为61.34,9.318,0.43t/d.