Spatial Analysis Function Research Articles

Evaluation of favourable hot dry rock areas in the east of the Yishu fault zone in China

Hot dry rock (HDR) geothermal resources have great development potential and prospects, owing to their wide distribution and high thermal storage temperature. HDR resources are abundant in China, but their exploration and exploitation remain in the early stages. The Yishu fault zone in Shandong Province in eastern China is in a high-temperature geothermal zone of the Pacific Rim. Three craters and 15 hot springs are in this area, which possesses abundant geothermal resources and favourable conditions for the occurrence of HDR resources. Nevertheless, HDR resources in this area have not been studied in detail, and the index-evaluation system for HDR is still imperfect. In this paper, five index layers are selected, including: the gravity and magnetic fields, geothermal field, tectonic activity, reservoir and cover characteristics, and remotely sensed features. Thirteen index elements were also selected as evaluation factors. In combination, these index layers and index elements have established a favourable evaluation index system for HDR resources in this region, and the analytic hierarchy process has been used to determine the weight of each factor. Then, the GIS spatial analysis function is used to carry out spatial superposition analyses for each index element, and finally the distribution characteristics of HDR resources east of the Yishu fault zone were determined, with four favourable selection areas being delineated. The occurrence conditions of HDR resources are analysed in detail with evaluation indexes. It is believed that HDR resources are closely related to neotectonic movement, volcanism and rocks with high heat-generation rates. Searching for areas with geothermal anomalies is indispensable for the evaluation of HDR resources. This study provides a basis for the exploration and development of HDR resources in the region, and it can also provide a reference for similar work in other parts of the country. KEY POINTS A set of evaluation indexes to determine favourable areas for HDR resources, including gravity, geothermal field, geological structure and crustal stability, heat storage and heat cover and features on remotely sensed images, is established. East of Yishu fault zone, there is a great potential of HDR resources, with an area of 19 399 km2 of favourable and more favourable areas, accounting for approximately 38.8% of the total area. HDR resources are likely closely associated with neotectonics, igneous activity, geothermal anomalies and rocks with a high heat-generation rate such as granites.

Simulation and evaluation of the spatial heterogeneity of shallow-groundwater environmental risk in an urban–rural fringe of megacity: a case study of Shenyang city, northeast China

Shenbei district of Shenyang city, Liaoning province, northeast China is a typical urban–rural (peri-urban) fringe of a megacity that is undergoing rapid urban expansion and the intensification of agricultural management, which threatens the quality of shallow groundwater in the area. This study selects proper indices relevant to vulnerability, stress, function, and adaptability based on the results of groundwater monitoring and the collection and processing of hydrogeological data. Based on the theory of natural disaster risk, an evaluation index system was then established, followed by constructing a groundwater environmental-risk assessment model. Next, the model was used to perform environmental risk grading and spatial pattern assessment on the groundwater based on the statistics and spatial analysis function of ArcGIS. The assessment results were then subjected to a correlation analysis with land use indices and socioeconomic indices, to explore the effects of natural geological conditions, urban expansion and intensive agricultural management on groundwater environment. The results of the study will provide support for land use optimization and water environmental management decision-making during the development and construction of the urban–rural fringe of the area. The results of the study showed that: (1) the spatial distribution of groundwater environmental risk of the Shenbei district is similar to that of groundwater vulnerability. At present, geological conditions are still the main influential factors of groundwater environmental risk in the region; (2) the scale and intensity of urbanization and intensive agricultural management have shown an obvious potential risk to the groundwater environment; (3) the large area paddy fields in the northwest have certain ecological function value, which should be further protected to ensure a win–win situation of agricultural production and environmental safety; (4) it is necessary to put more environmental protection efforts such as ensuring natural vegetation protection, strengthening artificial afforestation, and increasing the number of waste water treatment facilities during the urbanization process, as these measures are significantly effective in maintaining the groundwater quality.

Identifying Urban Road Black Spots with a Novel Method Based on the Firefly Clustering Algorithm and a Geographic Information System

With the rapid development of urban road traffic, there are a certain number of black spots in an urban road network. Therefore, it is important to create a method to effectively identify the urban road black spots in order to quickly and accurately ensure the safety of residents and maintain the sustainable development of a city. In this study, a GIS (geographic information system) and the Firefly Clustering Algorithm are combined. On the one hand, a GIS can accurately extract the distance between accident points through its spatial analysis function, overcoming the disadvantage of the accident data not usually including the specific location data. On the other hand, the Firefly Clustering Algorithm can be used to comprehensively extract the characteristics of accident points, which is particularly suitable for the identification of black spots. In order to verify the feasibility of the proposed method, this research compares the identification effect between the OD (origin–destination) cost distance calculated by GIS and the Euclidean distance. The results show that the Euclidean distance is smaller than the OD cost distance and that the accident search method based on the Euclidean distance can overestimate the number of black spots, especially for intersections. Therefore, the proposed method based on the Firefly Clustering Algorithm and GIS can not only contribute to identifying urban road black spots but also plays an auxiliary role in reducing urban road crashes and maintaining sustainable urban development.

From Subjective and Objective Perspective to Reconstruct the High-Quality Tourism Spatial Structure―Taking Gannan Prefecture in China as an Example

Spatial relationship is the basic perspective of understanding regions. Tourism spatial structure is the spatial projection of tourism activities, reflecting the spatial attributes and interrelationships of tourism activities. In this paper, taking Gannan Tibetan Autonomous Prefecture as an example, we identified the objective and subjective tourism spatial structure of Gannan Prefecture based on the GIS spatial analysis function and using objective and subjective tourist attractions as the spatial object element. Then, the tourism spatial network was reconstructed. Results are as follows. (1) Both objective and subjective tourist attractions in Gannan Prefecture exhibit aggregated distribution. Among them, the spatial distribution of objective tourist attractions has a significant trend of contiguous aggregation, showing a relatively higher density in the northeastern and southeastern regions, and a lower density in the central and southwestern regions. This is opposite to that of the subjective tourist attractions. (2) The connectivity and accessibility between objective and subjective tourist attractions in Gannan Prefecture are poor, and only a few tourist attractions form a traffic connection with neighboring ones. (3) The objective tourism spatial network of Gannan Prefecture is layered with aggregation, and presents a significant cohesive development trend. This is opposite to the subjective one. (4) Based on the identification results of objective and subjective tourism spatial structures, the objective and subjective core tourism resources as well as tourist attractions should be integrated, and the road transportation system should be constructed and improved. Then, a high-quality tourism spatial network with ‘three poles, three axes and four groups’ was constructed. This study provides a scientific basis for the tourism spatial development, tourist route organization, the layout of tourism service facilities and product, and tourism spatial optimization in specific regions.

Multi–risk quantitative assessment in Reghin city, Transylvania, Romania

Multi–risk assessment supposes an integrated analysis of various processes and phenomena generating risks across the territory, highlighting the individual and cumulative impact at different levels of analysis. This paper aims at creating an assessment model of multi–risk generated by the cumulative effects of landslides and floods, processes considered as significant in the study area, the administrative unit of the city of Reghin in the Transylvanian Basin. To obtain the multi–risk, two GIS spatial analysis models have been created. The first model means to identify the probability of landslide occurrence (built on GIS databases in vector and raster format, correlatively analysed by means of spatial analysis functions and equations), and is adapted according to legislative regulations stipulated in the Government Decision no. 447/2003. The second one is a database regarding the floodable area with a 1% probability in raster format, resulted from a nation–wide model created to identify the flooded areas.The multi–risk map was created using the mediation method, in which every class of individual (geomorphological or hydrological) hazard receives equal weight within the final result. As a consequence of applying the above–mentioned models, we obtained areas with different probabilities for cumulative risk processes, which are rendered as favourable or restrictive in terms of locating different structures (roads, settlements, functional areas, shopping centres). According to the degree of validation, these may be used for a more precise determination of the development areas and for territorial planning.

Research on Application of Gradient Analysis to City Green Space Accessibility——Taking garden green space of Taian central city for instance

Green space accessibility can be used to measure the potential of green space to provide services to residents. In this study, based on the spatial analysis function of GIS software and combining with the distribution of road network of Taian central city, gradient analysis was firstly introduced to analyse accessibility and its spatial distribution character of garden green space quantitatively. Results showed that whole accessibility of garden green space of Taian central city is good whichever transportation was adopted. Most of the regions could arrive at the nearest garden green space within 5 minutes. Accessibility of the centre area was better than that of the edge, and accessibility of the north area was better than that of the south. To some extent, there is relative between gradient distribution of accessibility and that of area of garden green space.

A BIM ORIENTED MODEL TO A 3D INDOOR GIS FOR SPACE MANAGEMENT– A REQUIREMENT ANALYSIS

Building Information Modeling (BIM) is a process concerning the formation of digital representations of the physical and functional features of built spaces. A significant increase of the BIM utilization in the Architecture, Engineering, and Construction (AEC) sector are becoming more accessible and functional. The BIM methodology was developed in order to provide an effective system for building management as well as to organize the collaboration between different parties. Industry Foundation Classes (IFC) is maintained by buildingSMART; enable an interoperable format for exchanging BIM data between different software platform which is capable of restoring both geometric information and rich semantic information of building components to support lifecycle data sharing. BIM provides a detailed 3D geometrical model with rich semantic data. In contrast, Geography Information Science (GIS) offers powerful spatial analytical tools. As the benefits brought by the integration of Building Information Modelling (BIM) and Geographic Information Systems (GIS) are being proved by many researchers, further spatial analysis can be applied that can benefit indoor-outdoor integrated applications. Recent research has mainly discussed the process required for data conversion from BIM to GIS. Thus, more specifics requirements on the functionalities of a 3D indoor applications need to be considered. In this study, the use of BIM IFC for 3D indoor GIS was reviewed, especially on the data conversation, data management, and 3D spatial analysis. The aim of this paper is to reveal the 3D indoor GIS requirements for space management. Therefore, the requirements were analyzed in four aspects: 1) data level integration; 2) data management; 3) 3D indoor GIS analysis; and 4) 3D space management. 3D space management was developed according to the requirement. Future research will be testing the conversion data in a GIS environment, the data structure for the 3D indoor GIS will be designed and a prototype will be developed to demonstrate the spatial analysis functionalities for 3D space management.

Study on division of groundwater function zones in Pingtan Island

Based on the topography, geomorphology, groundwater exploitation and other hydrogeological data of Pintan Island, the study area was divided into three levels and basic evaluation units were divided. According to the zoning principle of Technical Outline of Groundwater Function Zoning in China, and through the spatial analysis function of ArcGIS, the zoning index data was spatialized and the overlay analysis was carried out. The study area was divided into three types of first-level function zones and eight types of second-level function zones. Moreover, the groundwater function zones map of the study area was drawn. Relevant results can provide reference and basis for relevant departments to develop, utilize and protect groundwater.

FLOOD HAZARD MAPPING USING GIS SPATIAL ANALYSIS FUNCTIONS IN BALEENDAH, BANDUNG, WEST JAVA

<em><span lang="IN">Flooding is the most devastating hydro-meteorological hazard in Baleendah. Therefore, communities in Baleendah needs more attention because they suffer the impacts every year. This paper focused on mapping flood hazard in the 1-km2 area in Baleendah. The study used spatial analysis functions in ArGIS. Also, an on-site survey was conducted to know the height of inundation by floods within the study area. The resulting flood hazard map shows that all communities are exposed to flood hazard with the total number of 5349 houses inundated by floods. The degree of inundation is divided into three (03) levels, low (0-0.5 m), moderate (0.5-1.5m), and high (above 1.5m). Positive attitude towards early actions and early warning systems, collaboration among disaster relief institutions and local government are recommended for reduction of flooding disaster risk.</span></em>

Relación entre la erosión de los barrancos y el modelo de paisaje agrícola en la región de suelo negro típico del noreste de China

The black soil region of Northeast China is an important grain producing area that faces serious erosion problem. We used SPOT5 remote sensing imagery from 2008 to establish the gully distribution in a typical black soil region located in the Wuyuer and Nemoer River basin, and Landsat Thematic Mapper imagery to designate landscape patterns. Ninety-three sub-basins were determined based on digital elevation model data using a hydrological analysis module for which landscape pattern metrics and gully density were obtained using FRAGSTATS software and the Geographic Information System (GIS) spatial analysis function, respectively. The results show a gully density of 4,219.2 m2/km2 with 10,149.5 ha of eroded dry land and 25,261.2 ha of destroyed dry land. Correlation analysis between gully density and the landscape percentage of dry land and forest, perimeter-area fractal dimension, contagion index, and Shannon’s diversity index indicate that regulation of the proportion of forest, dry land, and grass, and reasonable optimization of landscape arrangement is very important for soil erosion management and control. Additionally, the findings indicate that landscape differences between each sub-basin are not the principal reason for differences in gully erosion. Further research on gully formation should integrate the effect of natural forces and human activities.

Three Types of Spatial Function Zoning in Key Ecological Function Areas Based on Ecological and Economic Coordinated Development: A Case Study of Tacheng Basin, China

Three types of spatial function zoning is an effective measure for regional environmental protection and orderly development. For ecological and economic coordinated development, spatial function zones should be divided scientifically to clear its direction of development and protection. Therefore, based on ecological constraints, a beneficial discussion would be about the key ecological function areas adopting the concept of ecological protection restriction and supporting socioeconomic development for spatial function zoning. In this paper, the researchers, taking Tacheng Basin, Xinjiang of China as an example, choose township as basic research unit and set up an evaluation index system from three aspects, namely, ecological protection suitability, agricultural production suitability, and urban development suitability, which are analyzed by using spatial analysis functions and exclusive matrix method. The results showed that: 1) This paper formed a set of multilevel evaluation index systems for three types of spatial function zoning of the key ecological function areas based on a novel perspective by scientifically dividing Tacheng Basin into ecological space, agricultural space, and urban space, which realized the integration and scientific orientation for spatial function at the township scale. 2) Under the guidance of three types of spatial pattern, the functional orientation and suggestions of development and protection was clearly defined for ecological protection zones, ecological economic zones, agricultural production zones, and urban development zones. 3) A new idea of space governance is provided to promote the coordinated and sustainable development between ecology and economy, which can break the traditional mode of thinking about regional economic development, and offers a scientific basis and reference for macro decision-making.

Spatial predication of flood zonation mapping in Kan River Basin, Iran, using artificial neural network algorithm

Flood is one of the significant natural disasters, which is treated as one of the main global concerns which increased occurrence has led to an increase in mortality rates and economic losses. Various methods have been developed and proposed for the analysis of this natural disaster. Iran is among several countries in the world, which faces severe problems of flood each year particularly in urban catchments. The present study aims to utilize GIS spatial analysis functions, data from Hydrometric and Rain-Gauge stations, satellite images, and thematic data layers in the form of Artificial Neural Network Algorithm for prediction of discharge values and spatial modeling of floods in Kan River Basin located in Tehran province. An optimized artificial neural network of 7 inputs, including slope, slope curvature, flow accumulation, NDVI, geological units, soil type, and rainfall data along with eight, sixteen and one neurons for the first, second and output hidden layers, respectively, were designed and developed. The output of the neural network was discharge values in stations. According to Table .2 in the result section, ANN method has one of the highest correlation and lowest RMSE in flood modeling. Precision parameters such as R2, RMSE and MAE were used to show the efficiency of the proposed model which yielded the values of 0.82, 0.18, and 0.13, respectively. The results obtained by the present study can be employed in future environmental planning at local scale as a means for improving the management of environmental risks and crises. The present study showed that an integrated utilization of GIS spatial analysis function with neural network algorithm is one of the high efficiency methods for predicting the potential of natural disasters such as floods.

GIS-Based Seismic Hazard Prediction System for Urban Earthquake Disaster Prevention Planning

It is of great significance to conduct seismic hazard prediction in mitigating the damage caused by earthquakes in urban area. In this study, a geographic information system (GIS)-based seismic hazard prediction system for urban earthquake disaster prevention planning is developed, incorporating structural vulnerability analysis, program development, and GIS. The system is integrated with proven building vulnerability analysis models, data search function, spatial analysis function, and plotting function. It realizes the batching and automation of seismic hazard prediction and the interactive visualization of predicted results. Finally, the system is applied to a test area and the results are compared with results from previous studies, the precision of which was improved because the construction time of the building was taken into consideration. Moreover, the system is of high intelligence and minimal manual intervention. It meets the operating requirements of non-professionals and provides a feasible technique and operating procedure for large-scale urban seismic hazard prediction. Above all, the system can provide data support and aid decision-making for the establishment and implementation of urban earthquake disaster prevention planning.

Forest decision support systems for the analysis of ecosystem services provisioning at the landscape scale under global climate and market change scenarios

Sustainable forest management is driving the development of forest decision support systems (DSSs) to include models and methods concerned with climate change, biodiversity and various ecosystem services (ESs). The future development of forest landscapes is very much dependent on how forest owners act and what goes on in the wider world; thus, models are needed that incorporate these aspects. The objective of this study is to assess how nine European state-of-the-art forest DSSs cope with these issues. The assessment focuses on the ability of these DSSs to generate landscape-level scenarios to explore the output of current and alternative forest management models (FMMs) in terms of a range of ESs and the robustness of these FMMs in the face of increased risks and uncertainty. Results show that all DSSs assessed in this study can be used to quantify the impacts of both stand- and landscape-level FMMs on the provision of a range of ESs over a typical planning horizon. DSSs can be used to assess how timber price trends may impact that provision over time. The inclusion of forest owner behavior as reflected by the adoption of specific FMMs seems to be also in the reach of all DSSs. Nevertheless, some DSSs need more data and development of models to estimate the impacts of climate change on biomass production and other ESs. Spatial analysis functionality needs to be further developed for a more accurate assessment of the landscape-level output of ESs from both current and alternative FMMs.

Application of Spatial Data Analysis in Architectural Planning

Relevant geographical conditions should be analyzed in architectural planning and design. GIS spatial analysis can analyze and display geographical data expediently. This paper explores the methods and approaches to apply ArcGIS, a popular GIS software, to architectural planning and design in combination with its spatial analysis function, so as to improve the efficiency and quality of planning.

Evaluating the ecological suitability for Olive tree in Sichuan using GIS and comprehensive fuzzy method: Methodological development and application

We have used the Geographic Information System’s (GIS) spatial analysis functions and comprehensive fuzzy sets to evaluate and analyze the ecological suitability of the olive trees in Sichuan, China. The over-years experience of olive planting and amelioration data has also been used as an aid to this analysis taking consideration of climate, soil, and topography which are closely related to the olive growing habit. The results are representing the actual distribution of olive while providing alternative adaptive regions for olive growing, thus we are able to offer guidance for the olive cultivation in the region.

Study on Functional Layout of Forest Health Care Base Based on Visual Effect of Landscape: A Case Study of Beijing Mangshan National Forest Park

In recent years, with the rapid development of forest health care industry in China, the demand for forest health care base, especially the construction of mountain forest health care base, has become increasingly urgent. Based on the spatial analysis function of GIS software and the impact of mountain forest environmental factors on human health, this paper briefly introduces the main site selection requirements and application of mountain forest recreation base, taking Jixian County as an example.

Hazard assessment and zoning of collapse along highways in China based on backward cloud algorithm

Evaluation indices were proposed and rated based on statistical analysis of collapse by an improved backward cloud algorithm considering internal and trigger factors. The evaluation index weight was calculated by a G1 method. A hazard evaluation of a highway collapse in China was established on the basis of a spatial analysis function of ArcGIS 10.2 and a factor superposition method. A hazard zoning of highway collapse in China was also performed based on the hazard degree. Results show that a comprehensive hazard index of highway collapse hazard in China based on the evaluation index above ranges from 1.0 to 9.0; and the distribution law of the collapse along a highway coincides with the actual distribution of highway collapse hazard. The most dangerous zones are the mountainous area of Southeast Taiwan, the mountainous area of Southeast Fujian–Zhejiang, south of Hainan, Sichuan–Yunnan mountainous area, Tianshan Mountains and Kunlun Mountains. The results can provide a reference for highway collapse prevention and mitigation work.Abbreviations: AHP: Analytic Hierarchy Process; GIS: Geographic Information System

东南诸河流域1990-2015年土地利用时空变化特征及驱动机制

PDF HTML阅读 XML下载 导出引用 引用提醒 东南诸河流域1990-2015年土地利用时空变化特征及驱动机制 DOI: 10.5846/stxb201810102187 作者: 作者单位: 作者简介: 通讯作者: 中图分类号: 基金项目: 国家自然科学基金地区基金项目（31660233）；国家自然科学基金项目（51711520317） Spatial and temporal variability characteristics and driving mechanisms of land use in the Southeastern River Basin from 1990 to 2015 Author: Affiliation: Fund Project: 摘要 | 图/表 | 访问统计 | 参考文献 | 相似文献 | 引证文献 | 资源附件 | 文章评论 摘要:土地利用/覆被变化作为影响全球环境变化的重要因素，是人类活动最直接的反映，其驱动力分析能够很好地揭示人类活动对土地资源的影响机制。运用ArcGIS空间分析和SPSS主成分分析等方法，从整个东南诸河流域片区的尺度上，研究了包含中国台湾地区在内的1990-2015年间的土地利用时空变化特征，并探究其主要驱动机制。研究结果为：（1）全流域各土地类型面积占比为：林地 > 耕地 > 草地 > 城乡建设用地 > 水域 > 未利用土地，林地与耕地的空间分布特征均为"北聚南散，北多南少"，城乡建设用地集中分布在经济较为发达的台湾海峡两岸沿海地区以及流域大陆北部靠近长江三角洲的地区。（2）全流域土地类型的面积变化量为：城乡建设用地 > 耕地 > 草地 > 林地 > 水域 > 未利用土地。流域土地利用综合动态度为0.68%，整体用地类型转化程度先降低再增加，并以城乡建设用地和耕地为主要变化类型。流域南部各市的土地利用变化较北部剧烈，台湾地区主要土地利用变化类型为耕地和城乡建设用地。（3）大陆地区城乡建设用地变化的主要驱动力为人口数量及结构、城市化和社会经济发展，台湾地区在此基础上增加了社会工农产业结构调整因素。大陆耕地变化的主要驱动力为人口数量及结构、城市化水平和社会工农产业结构，社会工农产业结构和农业生产水平是台湾地区耕地变化的主要驱动力。本研究为东南诸河流域土地资源规划管理提供科学依据，为自然流域尺度的土地利用变化及其驱动机制研究提供可靠实例。 Abstract:Land use change, an important factor affecting global environmental change, is one of the most crucial human activities. Research on land use change is critical to reveal the mechanism of impacts of human activities on land resources. In this study, we used the ArcGIS spatial analysis function and the SPSS principal components method to analyze the spatial and temporal changes of land use in the Southeastern River Basin (including Taiwan) from 1990 to 2015 and explore the possible driving mechanisms. The main results are as follows:(1) From 1990 to 2015, the proportions of different land types throughout the basin was forest land > farmland > grassland > urban and rural construction land > water area > unused land. Forest and cultivated land largely gather on the north of the basin, while they are more scattered and less in the south. Urban and rural construction land is concentrated in the coastal areas of Taiwan province, where the economy is relatively well developed, as well as in the northern basin near the Yangtze River Delta. (2) The comprehensive dynamic degree of land use in the basin is 0.68%, and the degree of conversion of overall land use type first declined and then increased from 1990 to 2015. Most changes occurred on urban and rural construction lands and cultivated land. Land usage change in the southern region of the basin is more intense than that in the north. The main type of land use change in Taiwan province was cultivated land and urban and rural construction land. The comparison of changes in the area of land types in the basin is:urban and rural construction land > cultivated land > grassland > forest land > water area > unused land. The most significant increases in urban and rural construction comes from cultivated land. Hence, the increases in cultivated land begins with forest land and then gradually transitions to urban and rural construction land. There is a certain degree of synergy between the intensity of urban land use and cultivated land. The latter has maintained a large degree of change and dominates the changing structure of each period. The average annual dynamics of other construction land in the past 25 years was 17.30%, showing clear growth trends. (3) The main driving forces behind urban and rural construction land usage changes in mainland China are population quantity and structure, urbanization level, and level of social and economic development. On this basis, Taiwan province has increased the social industrial and agricultural industrial structure adjustment factors. Additionally, the main driving forces behind changes in cultivated land in mainland China are population size and structure, urbanization level, and social and agricultural industrial structures. In Taiwan province, the social and agricultural industrial structures and agricultural production levels are the main forces driving changes in cultivated land. In this study, we analyzed the spatial and temporal variability and driving mechanisms of land use changes in the southeastern river basins. This study provides theoretical support for the rational planning for land resources in the region, and provides baseline data support for the comprehensive management of resources and the environment at the basin-wide scale. 参考文献 相似文献 引证文献

Risk evaluation of solar greenhouse cucumbers low temperature disaster based on GIS spatial analysis in Tianjin, China

To plan the cucumber cultivation area scientifically, improve the quality of cucumber and avoid meteorological disaster risks, this article evaluates low temperature disaster risk of greenhouse cucumber in Tianjin, China. Solar greenhouses are the main carriers for facility agriculture in North China which usually do not carry heating and supplementary lighting equipments. Consequently, growth and development of crops are still indirectly influenced by the greenhouse outside weather in some extent. In recent years, low temperature disaster of cucumber during overwintering periods happens frequently which brings large influence on cultivation and production of cucumbers in Tianjin. This research takes three types of solar greenhouses with different heat-retaining capacities as the facility carriers to evaluate the low temperature disaster risk of cucumbers grown in different greenhouses. First, study the corresponding relationship between microclimate elements in greenhouse and meteorological elements out of greenhouse based on assurance rate method and conduct the indexes caused cucumber low temperature disaster in different greenhouses at different development stages. Then, construct the risk evaluation model for low temperature disaster based on natural disaster risk evaluation theory. Finally, the low temperature disaster risk zone-division is realized based on GIS spatial analysis function to evaluate cucumber low temperature disaster risk comprehensively.Abbreviations:SG: solar-greenhouse; Cucu: cucumber; LTD: low temperature disaster; RE: risk evaluation; GIS: geographic information system; TJ: Tianjin