Real-time genetic spatial optimization to improve forest fire spread forecasting in high-performance computing environments

Abstract

Forest fires are a kind of natural hazard with a high number of occurrences in southern European countries. To avoid major damages and to improve forest fire management, one can use forest fire spread simulators to predict fire behavior. When providing forest fire predictions, there are two main considerations: accuracy and computation time. In the context of natural hazards simulation, it is well known that part of the final forecast error comes from uncertainty in the input data. These data typically consist of a set of GIS files, which should be appropriately conflated. For this reason, several input data calibration methods have been developed by the scientific community. In this work, the Two-Stage calibration methodology, which has been shown to provide good results, is used. This calibration strategy is computationally intensive and time-consuming because it uses a Genetic Algorithm as a solution. Taking into account the aspect of urgency in forest fire spread prediction, it is necessary to maintain a balance between accuracy and the time needed to calibrate the input parameters. In order to take advantage of this technique, one must deal with the problem that some of the obtained solutions are impractical, since they involve simulation times that are too long, preventing the prediction system from being deployed at an operational level. A new method which finds the minimum resolution reduction for such long simulations, keeping accuracy loss to a known interval, is proposed. The proposed improvement is based on a time-aware core allocation policy that enables real-time forest fire spread forecasting. The final prediction system is a cyberinfrastructure, which enables forest fire spread prediction at real time.     

基于中国主体功能区划的国家与省级点-轴结构解析

中国主体功能区划作为国土空间开发保护的基础制度,其空间结构是各级各类空间规划遵循的重要约束性指标以及主体功能区精准落地的关键参数。本文将面状功能区纳入点-轴系统结构,探索主体功能区点-轴结构的科学内涵,以中国主体功能区划为研究对象,聚焦国家与省级层面,着重从主体功能区点-轴结构的要素构成、功能区与点-轴结构的空间分异、以及功能区与点-轴结构的相互作用三个方面进行解析。研究结果表明：① 中国主体功能区划这张图本身就蕴含着点-轴系统结构,城市化地区是不同等级极核的集合,极核的等级和空间分布决定了开发轴线;② 点-轴地域开发系统、农业发展和生态安全地区呈现圈层式的结构特征,随着距离轴线越远,城市化类型比重越低、生态安全类型比重越高,点-轴结构受粮食安全与生态安全保障需求的约束;③ 无论是国家和省级层面,联系最紧密的区域连线与开发轴线基本吻合,不同层级等级较高的城市化功能主导区域之间的相互作用决定了主体功能区点-轴的拓扑结构,这在自然约束较弱、人类活动相对强度的区域更为显著。本文的研究成果有助于科学认知主体功能区的科学内涵及有序化的空间组织规律,为国土空间规划及功能区降尺度传导提供关键指标与参数,也将为中国综合地理区划提供重要的参考。     

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.     

A non-dominated sorting genetic algorithm for the location and districting planning of earthquake shelters

The improvement of emergency coping capacity is one of the most efficient measures for mitigating disaster impact. Shelter planning is an important strategy to reduce the number of casualties and injuries and facilitate disaster recovery. This study aims to address earthquake shelter location selection and the districting planning of service areas jointly. A bi-objective model is proposed to minimise the total evacuation distance and the total cost, subject to capacity and contiguity constraints. A non-dominated sorting genetic algorithm is developed to tackle the bi-objective model, which involves a multitude of decision variables. To fit the model, the chromosome structure, initialisation process and genetic operators in the algorithm are specifically designed to maintain the contiguity of the service area. And a hybrid strategy of bidirectional multi-point crossover and bidirectional single-point crossover helps promote the diversity of the solutions and accelerate the convergence. Moreover, the Pareto-optimal strategy and feasibility-based rule are combined to obtain trade-offs between objectives. The model and algorithm are validated in a case study of the earthquake shelter location and districting planning problem in Chaoyang District of Beijing, and the results confirm the effectiveness and efficiency of the method.     

Minority population and sustainable development in mountain regions a case study of the Tibetan inhabited region in Sichuan, China

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Assessment of the socioeconomic development levels of six economic corridors in the Belt and Road region

Recent years have witnessed rapid and widespread economic growth in regions involved in China’s Belt and Road Initiative(BRI), mainly due to the construction of six economic corridors. This paper aims to quantify the levels of six economic corridors according to the socioeconomic development levels in the BRI regions. Here, a gridded socioeconomic development index was first created, and a dividing line was drawn to reveal the distribution characteristics of socioeconomic development in the BRI ...     

The development of transport infrastructure and attitudes of the local population: a case study from the Republic of Serbia

In the last decades, the development of transport infrastructure has been necessary because of the population increase and expansion of urban centres. Infrastructure development leads to modification and changes in areas characterized by high human population density. The lack of adequate transport infrastructure inhibits local economic and social performance. In the period of economic stability (from 1970 to 1990), important roads that increased the connectedness of the Kolubara District (Western Serbia) with other parts of the country and the surrounding countries were built, but there is still a need for the construction of new roads. In order to examine the attitude of the local population in regard to transport infrastructure, a survey was conducted using a questionnaire consisting of closed questions. This topic is one that has not previously been examined. The data obtained were analyzed statistically and showed that local people have a positive attitude towards the existing infrastructure and towards the construction of new roads. There are statistically significant differences between the attitudes of the local population in different municipalities. The results from this research offer an opportunity to develop guidelines which can influence traffic development in these and similar areas.     

基于随机森林模型的珠江三角洲30 m格网人口空间化

人口空间化是实现人口统计数据与其他环境资源空间数据融合分析的有效途径。本文选取夜间灯光数据、道路网数据、水域分布数据、建成区数据、数字高程模型和地形坡度数据作为影响珠江三角洲人口分布的变量因子,利用随机森林模型对珠江三角洲2010年人口数据进行了30 m格网空间化,并将模拟结果与三个公开数据集作精度对比,最后基于随机森林模型的变量因子重要性分析珠江三角洲人口空间分布的影响因素。结果表明：本文模拟整体精度达到82.32%,均优于WorldPop数据集以及中国公里网格人口数据集,接近GPW数据集,而且在人口密度中等区域模拟精度最高;通过对变量因子重要性进行度量,发现夜间灯光强度是珠江三角洲人口分布的最重要指示性指标,到水域的距离、到建成区的距离和路网密度对珠江三角洲人口分布均具有重要作用。利用随机森林模型结合多源信息能够实现高空间分辨率的人口空间化,可为精细化城市管理提供重要数据源,也可为相关政策决策制定提供支持。     

The role of population change in widening the mortality gap in Scotland

The social gradient in health and mortality has been acknowledged for some time and, more recently, there is some evidence that the gap between the richer and poorer is widening in Britain. Other studies have also shown that health and mortality outcomes are worse in places that are experiencing population decline and better in places that are growing. This analysis examines, first, whether there is a mortality gap between the least and most deprived people in Scotland, second, whether this gap has widened since the 1980s and, third, whether the gap can be explained by patterns of population change. Our results demonstrate that the widening mortality gap in Scotland cannot be explained simply as an artefact of population change, even though it is widening most in those places that are experiencing population decline. This type of research is made possible by the reliable denominator population information provided in the 1981 and 2001 censuses.     

我国人口老龄化发展的阶段、趋势和区域差异

分析了我国人口老龄化发展的三个阶段,并预测了它的发展趋势。研究了人口老龄化的地理区域差异,表明在城乡之间、东西部地区之间和各民族地区之间的差异比较明显,而在贫困地区与非贫困地区之间有不同程度的差异。为按照各地区人口老龄化发展的不同特点,因地制宜地解决我国人口老龄化问题提供依据。     

北京流动人口特征与经济发展关系的区域差异

在整理分析官方网站和实地问卷调查数据的基础上,研究了1997年以来北京流动人口来源地、教育水平、年龄结构、就业等特征变化与中心区、近郊区、远郊区3个圈层经济发展的关系以及不同来源地、不同来京时间、不同教育水平、不同年龄、不同职业、不同收入、不同居住状况、不同未来流动意愿的人口在这三个区域的分布差异。研究表明：①流动人口主要来自华北地区的传统格局在发生着变化,来自距离相对较远文化上与北京差异较大地区的人口比重上升 (7.5%),表明距离成本、文化心理成本在流动人口总转移成本中的重要性下降;② 流动人口趋于在近远郊区的集中分布与这一地带日益成为北京的发展重心密切相关;③ 第三产业在创造流动人口的就业中发挥着重要作用;④ 其就业结构趋于与全市产业结构一致并接近北京城区常住居民的就业结构,而与乡村居民的就业结构差异较大是这一群体的重要就业特征;⑤他们在第三产业白领部门就业的比重远低于城区常住居民,但这一状况在逐步转变,已由1997年约为城区常住居民的1/8升到2002年的1/5;⑥ 中心区的流动人口在来源地、来京时间、年龄结构、教育水平、职业构成、收入水平、居住状况、未来愿望等方面与近远郊区的流动人口有明显差异。     

我国国际旅游人口分布与旅游经济可持续发展

本文是从国际旅游人口分布这一角度探讨了其时间上、空间上的特点,并采用定量和比较方法分析了这些特点与旅游经济可持续发展的关系。在此基础上,讨论了一些我国国际旅游的可持续发展,并提出了相关的建议。     

基于六普数据的中国流动人口住房状况的空间格局

住房是流动人口融入城市、实现市民化过程中必须解决的关键问题。基于2010 年第六次人口普查数据,采用住房拥有率、租住房率、住房面积指数、住房不受干扰指数、住房质量指数和住房费用指数6 个指标考察流动人口的住房状况,并综合运用数理统计、空间自相关和系统聚类法揭示流动人口住房状况的属性特征、空间分布与集聚类型。研究发现,与城镇常住人口相比,流动人口的住房状况较差。从空间分布看,流动人口住房状况的各项指标具有显著的空间正相关,在空间分布上不仅存在集聚现象,而且有明显的集聚中心。研究结果还表明,流动人口住房条件综合状况可划分为较好、中等、中等偏下、较差4 级类型区,在全国尺度上的空间分布除个别类型外具有团块聚合的结构特征。在考虑社会公平的前提下,应分类解决不同类型区域流动人口的住房问题。     

阶层化背景下的就业空间——以常住人口与流动人口为例

采用2000年第五次人口普查数据,以市辖区(县、市)为基本地理单元,对广东省的21个地级市133个样本进行阶层化背景下的就业空间研究。通过对常住人口和流动人口的就业构成和就业类型区的分析发现:(1)与流动人口相比,常住人口就业空间的分异更显多元化,其就业的体制内特征更为明显。两类人口就业空间没有形成社会极化结果,收入与职业的极化并未导致社会空间极化的出现,但也存在着类社会极化的特征。(2)常住人口和流动人口的就业构成具有中产化特征,在空间上具有中心城市指向性。而就业差异是否导致常住人口和流动人口之间的结构性阶层分异,则需进行后续的深入论证。     

大数据时代中国气候变化科学数据共享服务的发展现状与趋势分析

随着气候变化研究的进一步深入,中国已经积累和发布了越来越多气候变化方面的数据,为深入系统的科学研究和科技创新提供了宝贵的数据资源.相关数据存量越来越大,存储类型越来越丰富,促使我们进入一个前所未有的大数据时代.大数据时代需要对海量数据进行挖掘和应用,必然离不开数据的开放和共享.本文首先对气候变化驱动因素科学数据、气候变...     

宁南山区可持续发展中的人口问题探讨

对宁南山区自然环境和社会现状进行了分析,探讨了该区发展的根本制约因素,在详细分析该区人口现状、各年份人口数量及其分布变化特点的基础上,提出了在开发宁南山区和解决贫困问题的过程中,必须实施在有效控制人口增长基础之上的可持续发展模式,即大力发展文化教育事业、抓好生态移民工作、开发人力资本、加快地域优势资源开发利用及转变和提高人们思想观念.     

家庭化迁移对流动人口职住关系的影响——以广州为例

流动人口家庭化迁移可能对其在城市的职住关系产生影响。本研究基于广州市居民日常出行调查数据,考察流动人口在不同家庭化迁移状态下的职住关系,并与本地市民进行比较。研究发现：广州市流动人口职住临近特征明显,但随着家庭化迁移程度提高,职住距离增长,并接近本地市民水平。相较于个体单独迁移,夫妻共同迁移由于难以同时实现职住临近,职住距离更长;子女和老人随迁情境下,流动人口职住区位郊区化特征明显,因为郊区能以较低成本满足家庭生活对住房和住区环境的更高要求,但该情境下整体职住距离增幅较小且不显著。多数家庭化迁移的流动人口仍存在不稳定流动特征,以租房为主,租金规避需求与环境提升需求并存,需要相关政策加以关注。