SYSTEM FOR SERVING INFORMATION OF DANGEROUS DISTRICT FORECAST BASED ON NATURAL DISASTER DANGEROUS DISTRICT DATA

• 1. 基于大数据分析的危险区域设备数据压缩方法及系统 [P] . 中国专利： CN113408829B . 2021.11.26
• 2. 基于大数据分析的危险区域设备数据压缩方法及系统 [P] . 中国专利： CN113408829A . 2021-09-17
• 3. METHOD OF INFORMING THE DANGEROUS DISTRICT AND ACCIDENT INFORMATION USING THE SELF-LEARNING TYPE DATABASE FOR VEHICLE [P] . 韩国专利： KR100993373B1 . 2010-11-09

  机译： 利用汽车自学型数据库告知危险区域和事故信息的方法

• 4. METHOD OF INFORMING THE DANGEROUS DISTRICT AND ACCIDENT INFORMATION USING THE SELF-LEARNING TYPE DATABASE FOR VEHICLE [P] . 韩国专利： KR20060058793A . 2006-06-01

  机译： 利用汽车自学型数据库告知危险区域和事故信息的方法

• 5. IoT IoT based Data Aggregation Method for District Heating User-side Management of Energy Efficiency and Failure Analysis and Systems applying the same [P] . 韩国专利： KR101828145B1 . 2018-02-09

  机译： 基于物联网的用于区域供热用户侧管理的能效和故障分析的基于物联网的数据聚合方法及应用该方法的系统

• 1. Models and form factors for stand volume estimation in natural forest ecosystems: a case study of Katarniaghat Wildlife Sanctuary (KGWS),Bahraich District, India [J] . V.A.J Adekunle, K.N.Nair, A.K.Srivastava, 林业研究（英文版） . 2013,第002期
• 2. Study on Statistical Forecast Method for O_3 Concentration near the Ground in Pudong District of Shanghai Based on Meteorological Condition Analysis [J] . MA, Jing-hui, MA, 气象与环境研究：英文版 . 2012,第012期
• 3. Study on Statistical Forecast Method for O₃ Concentration near the Ground in Pudong District of Shanghai Based on Meteorological Condition Analysis [J] . MA, Jing-hui, MA, 气象与环境研究：英文版 . 2012,第012期
• 4. Natural disaster forecast on the base of townships collaborative emergency: Take Fangshan District as an example [J] . Honglian Guo, Yunxian Hou, Baohong Yang, Grey systems: theory and application . 2015,第3期
• 5. The Formulation of Natural Disaster-Based Local Wisdom Values After Tsunami Disaster in Aceh Jaya District, Aceh Province, Indonesia [J] . Erianjoni ., Dedi Hermon, Ratna Wilis Research on Humanities and Social Sciences . 2016,第16期
• 6. Appraisal of the support vector machine to forecast residential heating demand for the District Heating System based on the monthly overall natural gas consumption [J] . Izadyar Nima, Ghadamian Hossein, Ong Hwai Chyuan, Energy . 2015,第DECaPTa2期
• 7. Study and Application of Landslide Disaster Refinement Forecast System in District Level Based on GIS [C] . Yongjin Xu, Shiqi Yang, Yunhui Tang, International Conference on Geoinformatics;Geoinformatics 2012 . 2010
• 8. Dangerous Environments: Disaster Mental Health Workers Perception of Climate Change Threatt. [D] . Doyle, Lindsay L. 2012
• 9. The association between the supply and utilization of community-based primary care and child health in a context of hospital-oriented healthcare system in urban districts of Guangdong China: a panel dataset 2014–2016 [O] . Zhuojun Luo, Yuanzhu Ma, Naiqi Ke, 2020
• 10. Improving Students’ Religious Character in Geography Learning by Using Problem Based Learning Model on Natural Disaster Adaptation and Mitigation in State Senior High Schools in Mandau District [O] . Yeni Andriani 2017

• 1. Study on Farmers' Satisfaction with the Supply of Public Goods for Disaster Reduction in Agriculture——Based on the Survey Data of Farmers in Two Counties and One District of Hubei Province [J] . Yujia LIU ,Yayun LI . Asian Agricultural Research . 2016,第11期
• 2. Utilization of Open Source Spatial Data for Landslide Susceptibility Mapping at Chittagong District of Bangladesh—An Appraisal for Disaster Risk Reduction and Mitigation Approach [J] . Md. Ashraful Islam ,Sanzida Murshed ,S. M. Mainul Kabir . 地球科学国际期刊（英文） . 2017,第4期
• 3. 危险区域设备安装及维护的新途径区域1和区域2机电连接的快速安装技术 [C] . Gerhard Schwarz . 2002国际工业防爆技术论坛 . 2002
• 4. 基于遥感数据的区域滑坡动态危险性分析——以兴隆镇幅为例 [A] . 赵华应 . 2020