垦区与农区耕地配置模式对比研究

以富锦市为研究区域,运用地理信息系统、土地资源学、土地利用规划学的知识,并结合景观生态学的相关知识,对该区域垦区与农区的耕地配置模式进行对比分析,着重从垦殖率、耕地内部数量结构、空间分布特征、斑块特征、居民点等方面探讨二者耕地配置模式的异同。结果表明:农区垦殖率为81.94%,高于垦区的70.64%;农区的水田、旱地面积相差悬殊,旱地面积接近于水田的7倍;农区、垦区水旱混合区分别占耕地总面积的13.28%和36.15%;农区水田斑块为10.81ha,小于垦区的21.38ha。最后为土地整治项目提出了一些参考建议,旨在促进农业现代化发展。     

A data-synthesis-driven method for detecting and extracting vague cognitive regions

Cognitive regions and places are notoriously difficult to represent in geographic information science and systems. The exact delineation of cognitive regions is challenging insofar as borders are vague, membership within the regions varies non-monotonically, and raters cannot be assumed to assess membership consistently and homogeneously. In a study published in this journal in 2014, researchers devised a novel grid-based task in which participants rated the membership of individual cells in a given region and contrasted this approach to a standard boundary-drawing task. Specifically, the authors assessed the vague cognitive regions of Northern California and Southern California. The boundary between these cognitive regions was found to have variable width, and region membership peaked not at the most northern or southern cells but at substantially less extreme latitudes. The authors thus concluded that region membership is about attitude, not just latitude. In the present work, we reproduce this study by approaching it from a computational fourth-paradigm perspective, i.e., by the synthesis of high volumes of heterogeneous data from various sources. We compare the regions which we identify to those from the human-participants study of 2014, identifying differences and commonalities. Our results show a significant positive correlation to those in the original study. Beyond the extracted regions themselves, we compare and contrast the empirical and analytical approaches of these two methods, one a conventional human-participants study and the other an application of increasingly popular data-synthesis-driven research methods in GIScience.     

长江流域水资源空间分配

针对当前水资源空间分配方法存在影响因素选择不全,权重设计主观性强,且难以适用于大尺度流域范围等问题,该文提出了一种面向长江流域的水资源空间分配模型。该模型选取了年均降雨量、地形坡度、地表植被覆盖和区域集水面积作为水资源分配的影响因子,利用相关性分析方法和AHP层次分析法优化了因子影响权重设计,实现了长江流域的水资源空间分配,并采用长江流域二级子流域的水资源量统计数据进行精度检验。实验结果揭示了长江流域水资源量在1km格网尺度的空间分布差异,表明了该文面向长江流域水资源空间分配模型的合理性和准确性。     

An agent-based model for optimal land allocation (AgentLA) with a contiguity constraint

Spatial optimization is complex because it usually involves numerous spatial factors and constraints. The optimization becomes more challenging if a large set of spatial data with fine resolutions are used. This article presents an agent-based model for optimal land allocation (AgentLA) by maximizing the total amount of land-use suitability and the compactness of patterns. The essence of the optimization is based on the collective efforts of agents for formulating the optimal patterns. A local and global search strategy is proposed to inform the agents to select the sites properly. Three sets of hypothetical data were first used to verify the optimization effects. AgentLA was then applied to the solution of the actual land allocation optimization problems in Panyu city in the Pearl River Delta. The study has demonstrated that the proposed method has better performance than the simulated annealing method for solving complex spatial optimization problems. Experiments also indicate that the proposed model can produce patterns that are very close to the global optimums.     

Optimal spatial land-use allocation for limited development ecological zones based on the geographic information system and a genetic ant colony algorithm

Limited development ecological zones (LDEZs) are often located in poverty-stricken, ecologically vulnerable areas where ethnic minorities reside. Studies on optimal spatial land-use allocation in LDEZs can promote economic and intensive land use, improve soil quality, facilitate local socioeconomic development, and maintain environmental stability. In this study, we optimized spatial land-use allocations in an LDEZ using the geographic information system (GIS) and a genetic ant colony algorithm (GACA). The multi-objective function considers economic benefits and ecological green equivalents, and improves soil erosion. We developed the GACA by integrating a genetic algorithm (GA) with an ant colony algorithm (ACA). This avoids a large number of redundant iterations and the low efficiency of the GA, and the slow convergence speed of the ACA. The study area is located in Pengyang County, Ningxia, China, which is a typical LDEZ. The land-use data were interpreted from remote sensing (RS) images and GIS. We determined the optimal spatial land-use allocations in the LDEZ using the GACA in the GIS environment. We compared the original and optimal spatial schemes in terms of economic benefits, ecological green equivalents, and soil erosion. The results of the GACA were superior to the original allocation, the ACA, and the multi-objective genetic algorithm, in terms of the optimum, time, and robust performance indexes. We also present some suggestions for the reasonable development and protection of LDEZs.     

福建县域科技资源配置效率测算与比较分析

福建县域科技资源的稀缺性较大,充分利用科技资源,推动科技进步,是实现县域经济科学发展跨越发展的必然选择．为了提高县域科技资源利用效率,本研究以县域为决策单元,以科技资源中的人力、财力（包括物力）、信息为投入变量,以高新技术产值增长及专利为产出变量,运用DEA-C2R测算分析了福建省36个样本县2005-2008年科技资源的相对利用效率,发现科技产出存在滞后性、综合效率低、地域性差异较大等问题．据此提出引进科学考核机制、建立投入产出信息监测机制、因地制宜配置科技资源等建议．     

Reaching a climate agreement: compensating for energy market effects of climate policy

Because of large economic and environmental asymmetries among world regions and the incentive to free ride, an international climate regime with broad participation is hard to reach. Most of the proposed regimes are based on an allocation of emissions rights that is perceived as fair. Yet, there are also arguments to focus more on the actual welfare implications of different regimes and to focus on a ‘fair’ distribution of resulting costs. In this article, the computable general equilibrium model DART is used to analyse the driving forces of welfare implications in different scenarios in line with the 2?°C target. These include two regimes that are often presumed to be ‘fair’, namely a harmonized international carbon tax and a cap and trade system based on the convergence of per capita emissions rights, and also an ‘equal loss’ scenario where welfare losses relative to a business-as-usual scenario are equal for all major world regions. The main finding is that indirect energy market effects are a major driver of welfare effects and that the ‘equal loss’ scenario would thus require large transfer payments to energy exporters to compensate for welfare losses from lower world energy demand and prices.

Policy relevance

A successful future climate regime requires ‘fair’ burden sharing. Many proposed regimes start from ethical considerations to derive an allocation of emissions reduction requirements or emissions allowances within an international emissions trading scheme. Yet, countries also consider the expected economic costs of a regime that are also driven by other factors besides allowance allocation. Indeed, in simplified lab experiments, successful groups are characterized by sharing costs proportional to wealth. This article shows that the major drivers of welfare effects are reduced demand for fossil energy and reduced fossil fuel prices, which implies that (1) what is often presumed to be a fair allocation of emissions allowances within an international emissions trading scheme leads to a very uneven distribution of economic costs and (2) aiming for equal relative losses for all regions requires large compensation to fossil fuel exporters, as argued, for example, by the Organization of Petroleum Exporting Countries (OPEC).     

Cap setting and allowance allocation in China's emissions trading pilot programmes: special issues and innovative solutions

Seven emissions trading scheme (ETS) pilots have been established in China. They have introduced some unique methods to set emissions caps and allocate allowances, different from textbook models and their counterparts in the EU, California, and many other regions. This article provides a detailed introduction to the methods for cap setting and allowance allocation adopted by the pilots, and presents detailed comparisons of these methods. In terms of cap setting, the pilots adopt flexible caps that can be adjusted where necessary, which primarily depends on the outcomes of the bottom-up approach, namely aggregating the allowances allocated to participants. As for allowance allocation, the pilots not only adopt such methods as grandfathering and benchmarking, which are also widely applied in other existing schemes, but also some special methods that require ex post adjustment, such as those based on enterprises’ historical emissions intensity (including both physical quantity and added-value intensity) and current production/output. The factors influencing the design are further analysed, including the impacts of theory and experience from foreign systems, concerns about economic development, traditions regarding intensity targets and policy, constraints from data availability and preparation time, tight regulation of the electricity and heat generation sector, and concerns regarding price stability. The practice of pilots presents an improvement opportunity and a challenge for China to further balance the theoretical and practical requirements in ETS design in establishing its national system.

Policy relevance

China is piloting emissions trading in seven regions, as part of efforts to try to rely more on market-based instruments to achieve GHG emissions control targets. All seven pilots have been confronted with special issues in the design process when compared with existing foreign schemes. This article analyses in depth the special issues related to cap setting and allowance allocation and the approaches adopted to address these issues. Flexible cap setting through a bottom-up approach and different types of allocation methods with or without ex post adjustment are adopted in the pilots. The flexible and innovative approaches the pilots have developed could provide useful experience for designing the nationwide ETS in China and promoting emissions trading policy in other parts of the world.     

基于GIS技术的居住区级公共服务设施配置研究——以沈阳市沈水新城为例

以沈阳市沈水新城为例,对居住区公共服务设施布局进行研究。应用GIS技术在空间布局和综合评价方面的优势对公共服务设施进行定性、定量、定位评价分析,建立公共服务设施规划选址评价体系,达到了通过定量指标选址的目的,增强了规划的科学性,提高了公共服务设施选址的效率。为地理信息技术应用在公共服务设施配置选址领域提供了技术、方法和理论支持。