(一)自然界是一个统一的整体,它是各种现象完整的、相互制约的有规律的组合,我们叫做自然综合体。由于各种自然现象是相互关联、相互制约的,因此,一个自然因素的地域变化必然会影响其他因素的变化;而人类在生产实践中利用自然、改造自然,对任何一个因素采取措施,也必将引起其他因素的相应的变化。

中国地域辽阔,基于陆地表层地域分异规律,开展自然地域系统研究是支撑自然资源有序开发和产业合理布局、保障区域可持续发展的重要基础。本文在总结分析中国自然地域系统及相关方法研究进展的基础上,探讨全球变化背景下自然地域系统研究前沿问题。1950s以来,伴随着社会经济发展,中国高度重视自然地域系统研究,包括综合自然区划、生态地理区划和综合区划工作,目前随着全球变化研究的深入,地域系统的动态研究被高度关注。在此过程中,研究方法从以专家智能集成为主的定性研究,逐步发展至以观测、实验和信息技术、数理模拟方法为主的定量研究。随着全球变化研究的日益深入,自然地域系统研究将与未来地球计划的理念、目标和研究内容结合,重点开展陆地表层关键要素相互作用机理及区域效应,地域系统对全球变化的动态响应,陆地表层地域单元界线定量化识别等研究,加强地域系统研究中自然要素与人文要素的结合。

<p>As is well known, there exist similarities and differences among geographical regions, and zonality is a universal theorem governing geographical patterns. Physio-geographical regional system is a hierarchical system, which is formed by division or combination of natural features based on geographic relativity and geographic zonality. Researches on physio-geographical regional system aim at observing and studying natural complex of the earth&rsquo;s surface, revealing rules of regional differentiations and exploring formation, development, division, combination, relativity and demarcation of natural regions at different scales, from a regional point of view. As a radical method to obtain geographical information, physio-geographical regionalization has always been studied and widely used by geographers. Studies on physio-geographical regionalization in China have made great progress in principle, methodology, and theory since the 1930s. It could provide a scientific basis for social and economic development and planning, and conservation, improvement and rational utilization of natural environment. Based on brief review of physio-geographical regionalization at home and abroad, the paper summarizes the characteristics of researches in recent years: various types of elements; distinct ecologicalization in comprehensive natural regionalization; a complete series of spatial scales; scarce creativity in technology and methods; emphasizing regionalization methodology; enhancing application of regionalization schemes. Then, the paper analyzes academic problems in the present researches: lack of epistemological study; weak methodological study. Finally, the paper explores the prospects of physio-geographical regionalization: continuous increase in requirement at the national level; strengthening the standardization of regionalization, and raises several trends in geographical regionalization.</p>

依据自然地带性和区域分异规律进行自然区划历来是自然地理学的重要研究内容。它不仅是获取地理知识的重要途径，而且可为拟定和实施社会经济发展规划以及保护、改良和合理利用生态与环境提供必要的科学依据。本文在简要回顾国内外自然地理区划研究发展历程的基础上，总结了中国近年来自然地理区划研究工作的特点：区划要素类型多样、自然综合区划&ldquo;生态化&rdquo;明显、区划空间单元及其尺度系列完整、区划技术方法鲜有创新、区划方法论有所重视、区划方案应用指向进一步强化。分析了当前自然地理区划研究工作中存在的学术问题：认识论研究欠缺、方法论研究薄弱。最后，对自然地理区划的未来发展进行了展望：持续增加的国家需求、不断规范化的区划工作，并提出了地理区划的几个发展趋势。

Studies on spatial-temporal characteristics and influencing factors of flash floods are key contents to the assessment and management of flash flood. Based on the historic flash flood data in southwest China from 1960 to 2015, the spatial and temporal distribution of flash flood and its influencing factors were analyzed by using the linear regression model, standard deviation ellipse, spatial autocorrelation, and logistic regression model. The results show that: (1) The annual frequency of flash floods in southwest China shows an exponential growth trend, and the annual variation reveals a stable, slow and rapid increase fluctuation during 1960-1980, 1981-1998 and 1999-2015, respectively; the monthly characteristics are obvious and precipitation is mainly concentrated in June, July and August. (2) The obvious spatial difference of flash flood is observed in the study area, and the high-density areas are mainly concentrated in central Yunnan plateau, Sichuan Basin and their surrounding mountainous areas. The flash flood distribution has a significant spatial positive correlation and spatial agglomeration (Moran's I index is 0.127, Z = 5.784, P = 0.007). (3) The gravity center of historical disasters has a distinct trend of moving to the west during the year. The standard deviation ellipse angle gradually weakens, the long axis gradually lengthens, and the short axis gradually shortens. (4) Rainfall factors have the maximum impact on flash floods, followed by human activity factors, and the minimal is surface environmental factors. Among the rainfall factors, the one-hour rainfall has the strongest impact on flash floods, and its dominant ratio reached 3.654. The results can provide techinical support for research on forming mechanism, monitoring and early warning, and implementation of disaster prevention and mitigation measures of flash floods.

山洪灾害时空特征和影响因素是山洪评估与管理的重要内容。根据1960-2015年中国西南地区历史山洪资料,采用线性回归、标准差椭圆、空间自相关和Logistic回归模型,深入分析了西南地区山洪灾害时空分布特征及其影响因素。结果表明：① 西南地区年度山洪灾害频次呈指数增长,年际变化呈现出稳定（1960-1980年）、缓慢波动增加（1981-1998年）、快速增加（1999-2015年）3个阶段;月际特征明显,山洪主要发生在每年6-8月,尤以7月频次最高;② 西南地区山洪灾害空间差异性显著,灾害高密度区主要集中于滇中高原地区、四川盆地和周边山地单元,山洪灾害数量分布呈显著的空间正相关,空间集聚特征明显（Moran's I指数为0.127、Z = 5.784、P = 0.007）;③ 西南地区历史灾害点的重心在年内存在明显的向正西方向移动的趋势,年内标准差椭圆转角均逐渐弱化,长轴逐渐变长,短轴逐渐变短;④ 降雨因子对山洪的影响度最高,人类活动因子次之,地表环境因子最低,降雨因子中1 h降雨量对山洪的影响最强,优势比值达到3.654。研究结果可为西南地区山洪灾害形成机理、监测预警研究,实施防灾减灾措施等提供科技支撑。

Flood risk can, in general terms, be defined as probability time consequence. It consists of flood hazard analysis, vulnerability analysis and damage evaluation. A variety of methods have been developed and applied. Among them, Quantitative Risk Analysis (QRA) is a method of quantifying risk through systematic examination of the factors contributing to the flood hazard and affecting the severity of flood consequence, their interaction and relative contribution to the occurrence of the flood. The QRA technique is well established in many fields such as chemical engineering and hazardous materials processing. The application of QRA to flood risk is relatively new and still under development. While the basic risk assessment concepts and tools can be used, the methodologies need to be adapted. Category-based model for flood risk analysis is used to assign a value to each driven-factor such as triggering factor of rainfall, dam break, ground surface conditions of topography, land cover, and others. The keys to the model are to synthesis the spatial-referenced data and create the risk zone. The diffusion of Geographical Information Systems (GIS) technology opens up a range of new possibilities for hazard mitigation and disaster management. Microzonation is greatly facilitated by the kind of automation that GIS offers, especially as it involves comparison, indices and overlays in much the same way that GIS does. In this article, ArcInfo GIS has been chosen to quantitatively represent the influencing factors, spatialize the data into the uniform grid system, and transfer all the data item into the effect degrees on the probability of flooding. At last, with the support of Arc/Info GRID model, a categorical model for flood risk zonation has been put forward. The approach has been applied to the Liaohe river basin, the north-eastern of China, flood disaster risk zonation. The results show that the flood risk of the lower reaches of the Liaohe river is more serious than other places, which accord with the fact. The case study showes that the GIS-based category model is effective in flood risk zonation.

洪水灾害风险区划是洪灾评估与管理的重要内容,本文在分析洪灾形成的各主要因子的基础上,提出了基于地理信息系统的洪灾风险区划指标模型,并结合辽河流域具体情况,以降雨、地形和区域社会经济易损为主要指标,得出辽河流域洪灾风险综合区划。

<p>This paper explores the methodology for compiling the torrent hazard and risk zonation map by means of GIS technique for the Red River basin in Yunnan province of China, where is vulnerable to torrent floods. Based on a 1:250,000 scale digital map, six factors including the number slope angle, rainstorm days, buffer of river channels, maximum runoff discharge of standard area, debris flow distribution density and flood disaster history were analyzed and superimposed to create the torrent hazard risk evaluation map. Population density, farmland percentage, house property, and GDP as indexes accounting for torrent hazards were analyzed in terms of vulnerability mapping. Torrent risk zonation by means of GIS automatically was overlaid on the two data layers of hazard and vulnerability. Then each grid unit with a resolution of 500 m &times; 500 m was divided into four categories of the risk: extremely high, high, medium and low. Finally the same level risk was combined into a confirmed zone, which represents torrent risk of the study area. The risk evaluation result in the upper Red River basin shows that the extremely high risk area takes up 17.9% of the total inundated area of 13 150 km², the high risk area is 45.9% of 33 783 km², the medium is 25.2% of 18 563 km² and the low risk is 11.0% of 8115 km².</p>

Mountain torrents is a kind of flash floods which bring about a great loss of life and damages of properties in mountainous area.in order to support decision making on disaster reduction and prevention,it is necessary for us to evaluate disasters of mountain torrents quickly and correctly. The difficulties in evaluating disasters of mountain torrents lie in the impossibility of hydrologic observation by conventional method because of the grest flowing velocity and washing force and the insufficiency of information got by remote sensing method because of the short duration of mountain torrents.In order to overcome such difficulties,a new method which is an integration of GIS an analytical models is explored in this paper.what we use is an external integration method,i.e.the analytical model is integrated with GIS system as an external procedure.In the process of evaluating disasters of mountain torrents,the role of GIS is to transform vector data into grid data and to query,access,display and analyse grid data;the role of analytical model is to simulate behaviors of water and sand within grid and among grid and to determine the disaster class for each grid.The procedure for evaluation of disasters caused by mountain torrents is as follows:firstly to establish a database including data collection,map digitization and input of tabular data;secondly,to analyse data including DEM analysis,analysis of drainage network and rastering;thirdly,to run the model which includes sekction of simulation parameters,simulation of flood and simulation of sand transprotation within the watershed;fourthly,to evaluate disasters which includes calculation of washing forces,analysis of disaster──bearing capacity and determination of disaster classes.Taking mountain torrents in the Sunhugou watershed on Aug.10,1969 as an example.we tested this methd.The result showes that integration of GIS and analytical mdel is an efficient method for evaluating disasters caused by mountain torrents.GIS promotes establishment of distributed hydrohgic model by management of spatial data; analytical model extends function of GIS by provision of hydrologic information such as water depth,flowing velocity and sedlment concentration.Compositeness of spatial ad temporal information in GIS is an important part in evaluating disasters caused by mountain torrents.Formation of disaster by mountain torrents is a dynamic process in which sufficient information can be got only by simulation of water and sand behaviors.Efficient management and output spatiotemporal information are a subject that need be further studied in GIS.

本文探讨了应用地理信息系统与分析模型相结合的方法评估山洪灾情的途径。山洪灾情评估的难点在于：因山洪速度快、冲击力大常规水文观测难以进行；同时又因山洪历时短暂和影响的空间尺度小，遥感方法难以取得足够的信息。通过建立基于GIS的水沙行为模型，在计算机屏幕上再现洪水场景，输出洪水过程中流速、水深、含沙量等信息，结合承灾体承灾能力分析，使山洪灾情得以准确评估。本方法以孙胡沟1969年8月10日发生的山洪为例进行验证，效果良好。

Geomorphological regionalization and geomorphological types are the two core contents of geomorphologic research. Despite that there are many research achievements on the study of geomorphological regionalization, defects still exist such as the inconsistence of landform indicators, the small quantity of division grades, the disparity of geomorphological characteristics, the difference of mapping results and the small scale of zoning maps. New requirements for the national geomorphological regionalization therefore should be proposed at the request of national geo-information surveying and other national specific projects. On the basis of combing the theories of geomorphological regionalization in China including plate tectonics and crustal features, geomorphological features from endogenic and exogenic forces, and differences and regional differentiations of geomorphological types, a new research program of China's geomorphological regionalization with five grades, that is, major region, sub-major region, region, sub-region and small region, was proposed based on the previous geomorphological regionalization proposed in 2013 which divided the whole China into 6 major geomorphological regions and 37 districts. The major contents of the new geomorphological regionalization program can be summarized as follows: (1) principles of the national multi-grades geomorphological regionalization were established, (2) hierarchical indicator systems of the geomorphological regionalization (i.e. characteristics of the terrain ladder under the control of tectonic setting, combinations of regional macro-form types, combinations of endogenic and exogenic force and basic types of morphology, combinations of regional morphological types, combinations of regional micro-morphological types) were constructed, (3) naming rules and coding methods of the geomorphological regionalization were proposed, (4) precise positioning techniques and methods of the multi-grades geomorphological regionalization based on multi-source data were developed. On the basis of this new geomorphological regionalization project, the partitioning works of national five-grade geomorphological regionalization of 1:250,000 of China were successfully completed. And the geomorphological regionalization systems of the whole China were divided into 6 major regions, 36 sub-major regions, 136 regions, 331 sub-regions and more than 1500 small regions. In addition, the database and the management information system of the national geomorphological regionalization were then established. This research is of important guiding significance for promoting the development of China's regional geomorphology and the application research based on geomorphological regionalization.

区划和类型是地貌学研究的两大核心内容。中国地貌区划已有诸多划分方案,比较而言,各种方案存在遴选指标不一、确定等级较少、反映特征各异、划分结果不同、成图尺度较小等不足。应中国地理国情普查等国家专项任务的需求,对较大尺度、多级地貌区划研究提出了新的要求。在梳理中国地貌区划的理论,包括板块构造与地貌圈特征、地貌形态与内外营力体系、地貌形态的类型组合与区域分异的基础上,基于2013年提出的中国地貌二级区划的新方案,归纳了全国多级地貌区划分的原则,提出了基于“大区—地区—区—亚区—小区”的全国五级地貌等级分区方案,建立了“大地构造控制下的地势阶梯特征—>区域宏观形态类型组合—>内外营力及基本形态类型组合—>区域内形态类型组合—>区域微地貌形态组合”的五级地貌分区指标体系,提出了五级地貌区划体系的命名规则和编码方式,构建了基于多源数据进行多级地貌区划单元精确定位的技术与方法,完成了全国1:25万尺度五级地貌区的划分,包括6个一级大区、36个二级地区、136个三级区、331个四级亚区、1500多个五级小区,并建立了全国地貌区划数据库。该研究对于促进中国区域地貌学的发展、基于地貌区划的应用研究等具有重要的指导意义。

According to research achievements of Chinese regional geomorphology over nearly 30 years, including landscape classification and landform mapping, this paper systematically discusses the specific steps and methods, principles and the standards for geomorphological regionalization. It is suggested that the basis and standard of geomorphological zoning at all levels not only include the similarities and differences of the combinations of geomorphology type together with the landform genesis, but also its dimension. Based on 1:4000 000 geomorphplogical map of China and the GIS technology, we made an analysis of reasons for the Chinese regional differentiation of the essential geomorphological types and their genesis and divided the whole China into six major geomorphological regions and 38 districts. Region I (eastern hilly plains) is located in the northern part of the low terrain unit of China, in which the largest plain areas of China are distributed. Plains and platforms are dominant and the fluvial accumulation landforms are well developed. This region includes seven districts. Region II (southwestern low-middle mountains) is located in the southern part of the low terrain unit of China, which is dominated by low-elevation hills and low- or middle-relief mountains with only 30% of its area occupied by plain and platforms. Fluvial geomorphologies are typical with a developed karst landform in Southwest China, which can be divided into five districts. Region III (central and northern middle mountains and plateau) is located in the northeastern part of the middle terrain unit of China, characterized by the plateau landform composed of the low- or middle-relief mountains, hills, platforms and plains. Loess landform is well developed. This region includes five districts. Region IV (northwestern middle and high mountains and basins) is located in the northwestern part of the middle terrain unit of China. It is composed of middle to high mountains interposed by flattened basins and is characterized by arid desert geomorphology, where mountains with basins are made up of plains, platforms and hills. This region can be divided into five districts. Region V (southwestern subalpine mountains) is located in the southern part of the middle terrain unit. With a typical karst landform, middle or high mountains with middle or high reliefs are widespread and are scattered by wide valley basins. This region includes five districts. Region VI (Tibetan Plateau) covers the high terrain unit of China. It is composed of plains and high mountains with elevations higher than 4000 m and 3/4 area of the region, and is characterized by glacier and periglacial landforms. This region can be divided into nine districts.

A new scheme for climate regionalization in China was established based on the daily observations for 609 meteorological stations during the period 1971-2000.During regionalization,current basic theories,classification methodologies and criteria system were used,besides,five principles were taken into consideration,mainly included zonal and azonal integration,genetic unity and regional relative consistent climate integration,comprehensiveness and leading factors integration,bottom-up and top-down integration,spatial continuity and small patch omission.The new scheme consists of 12 temperature zones,24 moisture regions and 56 climatic sub-regions.

中国山洪灾害造成的经济损失在各类灾害损失中所占比重日趋增大,其中房屋损毁是造成经济损失和人员伤亡的重要因素。本文以房屋为研究对象,基于全国山洪灾害调查评价提供的数据,分析房屋暴露量的时空分布特征,构建山洪灾害房屋损毁风险评估模型,对房屋损毁风险进行分析及原因探究。结果表明：① 中国山洪灾害防治县以一层住宅为主,占比达50%以上的防治县分布范围大致与中国第二、三阶梯分界线一致;砖混结构仍为迄今为止中国山区农村运用最为广泛的房屋结构类型,其次为砖木结构,再次为钢混结构和其它结构;② 中国山洪灾害防治县房屋脆弱性呈现西北高、东南低的整体空间格局;房屋损毁风险呈现东部高、西部低的空间分布特征,且损毁风险较高的地区呈带状或集聚状态分布。损毁风险很高的地区集中于辽东半岛、山东半岛、海南岛及东南沿海地带,且在燕山-太行山区呈现沿东北-西南方向的条带状分布,损毁风险较高的地区主要分布于太行山区及长江中下游地区;③ 房屋类型对山洪灾害房屋损毁风险贡献度较高的地区主要为山东省、山西省及河北省;山洪强度对房屋损毁风险贡献率较高的地区主要呈3条条带状分布：燕山-太行山分布带、浙闽滨海丘陵分布带、两广滨海分布带。

山洪灾害调查评价是1949年来水利行业最大的非工程措施项目,是规模最大的全国性防灾减灾基础信息普查工程,历时4年,涉及全国30个省305个市2138个防治县（区）,国土面积755万km²,人口近9亿。运用普查、详查、外业测量、分析计算等多种手段,掌握了中国山洪灾害防治区范围、人员分布、下垫面条件、社会经济、历史山洪灾害等基本情况,科学分析了山丘区小流域的暴雨洪水特性,评价了现状防洪能力,计算了预警指标,划定了危险区,为山洪灾害预警预报和应急救援决策提供了基础信息支撑。本文系统介绍了全国山洪灾害调查评价的核心要点,综述了调查评价成果,归纳了调查评价成果要素类型,揭示了全国山洪灾害防治区、人口、历史山洪灾害事件与预警能力的空间分布一致性,即山洪灾害各要素集中分布于青藏高原-四川盆地过渡带、川滇交界地区、黄土高原区、东部沿海地区及华北等地区,最后初步探讨了该成果的应用前景。全国山洪灾害调查评价成果将为中国山洪灾害监测预警预报体系建设及防灾减灾能力提升提供丰富的基础数据支撑。

It is of great significance to analyze the main environmental issues, coupled with their spatial heterogeneity, and divide the ecological function zones to achieve ecological security and optimization of territory development in a certain region. In recent years, ecological function zoning, widely concerned by scholars, has played a vital role in regional ecosystem management and sustainable development. There arose a problem that the spatial characteristics of ecological functions were hard to be reflected in the previous studies based on spatial average data over basins or geopolitical regions such as counties, cities and provinces. This paper, using the approaches of coupling self-organizing feature map (SOFM) and support vector machine (SVM), attempts to develop an automatic demarcation and zoning approach, and explores the best possible division of ecological functions in the city of Ordos with the index system of ecological function zoning in mind involving the ecosystem services as well as ecological sensitivity. Ordos, which is located in the transitional zone between temperate grasslands and desserts, has become a key research area of global terrestrial ecosystem. The ecological functional zoning indexes indicate that there appears an obvious spatial heterogeneity of ecosystem functions in Ordos. Accordingly, land grids have been clustered into 7 ecological function types by SOFM with clustering quality index (CQI) in view. Hence, Ordos has been divided into 11 ecological function zones owing to the implementation of SVM to identify the optimal division borders, in which the border demarcation is treated as a classification system in spatial domain. The optimal combination of SVM hyperparameters is determined by grid search method. In this study, machine learning algorithm has been adopted to cope with the situation where the bottom-up physical regionalization might weaken the spatial position attribute of the partition features, and to realize the quantitative conversion from classification to partition. It has turned out that such SOFM-SVM-coupled zoning approach could effectively improve the spatial accuracy of the partition, which can be considered as a new way to realize the automatic ecological zoning.

辨析区域主要生态环境问题及其空间异质性,划定生态功能区,对保障区域生态安全和国土开发优化具有重要指导意义。以往自下而上的分区研究多基于行政区或流域开展,难以体现行政区或流域内部的生态功能分异。以鄂尔多斯市为例,基于生态系统服务与生态敏感性构建区域生态功能分区指标体系,耦合自组织特征映射（SOFM）网络与支持向量机（SVM）划定鄂尔多斯市生态功能分区。结果表明,区域内各生态功能分区指标呈现明显的空间分异特征,通过SOFM网络基于栅格进行指标聚类,构建分类效果指数筛选最佳聚类方案,将区域分为7种不同的生态功能类型。最终,利用SVM识别最优分区界线,将鄂尔多斯市分为11个生态功能区。本文构建分类效果指数实现多分类方案优选,使用机器学习算法解决自下而上的自然分区容易弱化要素空间位置属性的问题,完成了从分类到分区的定量转换,有助于提升分区的空间精度与客观性,为生态功能分区与分区边界划定提供了新的方法途径。

Spatial stratified heterogeneity is the spatial expression of natural and socio-economic process, which is an important approach for human to recognize nature since Aristotle. Geodetector is a new statistical method to detect spatial stratified heterogeneity and reveal the driving factors behind it. This method with no linear hypothesis has elegant form and definite physical meaning. Here is the basic idea behind Geodetector: assuming that the study area is divided into several subareas. The study area is characterized by spatial stratified heterogeneity if the sum of the variance of subareas is less than the regional total variance; and if the spatial distribution of the two variables tends to be consistent, there is statistical correlation between them. Q-statistic in Geodetector has already been applied in many fields of natural and social sciences which can be used to measure spatial stratified heterogeneity, detect explanatory factors and analyze the interactive relationship between variables. In this paper, the authors will illustrate the principle of Geodetector and summarize the characteristics and applications in order to facilitate the using of Geodetector and help readers to recognize, mine and utilize spatial stratified heterogeneity.

空间分异是自然和社会经济过程的空间表现,也是自亚里士多德以来人类认识自然的重要途径。地理探测器是探测空间分异性,以及揭示其背后驱动因子的一种新的统计学方法,此方法无线性假设,具有优雅的形式和明确的物理含义。基本思想是：假设研究区分为若干子区域,如果子区域的方差之和小于区域总方差,则存在空间分异性;如果两变量的空间分布趋于一致,则两者存在统计关联性。地理探测器q统计量,可用以度量空间分异性、探测解释因子、分析变量之间交互关系,已经在自然和社会科学多领域应用。本文阐述地理探测器的原理,并对其特点及应用进行了归纳总结,以利于读者方便灵活地使用地理探测器来认识、挖掘和利用空间分异性。