Eco-geographical Regionalization of China: An Approach Using the Rough Set Method
文献类型：期刊论文
| 作者 | Deng Haoyu1; Wu Shaohong1,2; Yin Yunhe1; Gao Jiangbo1; Zhao Dongsheng1 |
| 刊名 | CHINESE GEOGRAPHICAL SCIENCE
 |
| 出版日期 | 2022-02-01 |
| 卷号 | 32期号:1页码:93-109 |
| 关键词 | Eco-geographical regionalization boundary rough set China |
| ISSN号 | 1002-0063 |
| DOI | 10.1007/s11769-022-1259-3 |
| 通讯作者 | Wu Shaohong(wush@igsnrr.ac.cn) |
| 英文摘要 | Eco-geographical regionalization involves dividing land into regions by considering both intra-regional consistency and interregional disparity and is based on the pattern of differentiation of eco-geographical elements. Owing to the complexity of the land surface, and the limitation of data and appropriate methods, regions in China have hitherto been mapped manually, meaning that the process of mapping was non-repeatable. To make the regionalization technique repeatable, this study aimed to extract and quantify the expert knowledge of regionalization using an automated method. The rough set method was adopted to extract rules of regionalization based on the existing eco-geographical regionalization map of China, as well as its corresponding meteorological and geological datasets. Then, the rules for regionalization were obtained hierarchically for each natural domain, each temperature zone, and each humidity region. Owing to differences in zonal differentiation, the rule extraction sequence for the eastern monsoon zone and Tibetan Alpine zone was temperature zone first followed by humidity region, with the reverse order being applied for the northwest arid/semi-arid zone. Results show that the extracted indicators were similar to those of the existing (expert-produced) regionalization scheme but more comprehensive. The primary indicator for defining temperature zones was the >= 10 degrees C growing season, and the secondary indicators were the January and July mean temperatures. The primary and secondary indicators for identifying humid regions were aridity index and precipitation, respectively. Eco-geographical regions were mapped over China using these rules and the gridded indicators. Both the temperature zones and humidity regions mapped by the rules show >= 85% consistency with the existing regionalization, which is higher than values for mapping by the commonly used simplified method that uses the classification of one indicator. This study demonstrates that the proposed rough set method can establish eco-geographical regionalization that is quantitative and repeatable and able to dynamically updated. |
| WOS关键词 | CLIMATE-CHANGE ; ARIDITY ; SYSTEM ; TRENDS ; EVAPOTRANSPIRATION ; DELINEATION ; SELECTION ; BOUNDARY ; MODELS ; REGION |
| 资助项目 | Key Program of National Natural Science Foundation of China[41530749] |
| WOS研究方向 | Environmental Sciences & Ecology |
| 语种 | 英语 |
| WOS记录号 | WOS:000740255000007 |
| 出版者 | SPRINGER |
| 资助机构 | Key Program of National Natural Science Foundation of China |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/169364]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Wu Shaohong |
| 作者单位 | 1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, Beijing 100101, Peoples R China 2.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China |
| 推荐引用方式 GB/T 7714 | Deng Haoyu,Wu Shaohong,Yin Yunhe,et al. Eco-geographical Regionalization of China: An Approach Using the Rough Set Method[J]. CHINESE GEOGRAPHICAL SCIENCE,2022,32(1):93-109. |
| APA | Deng Haoyu,Wu Shaohong,Yin Yunhe,Gao Jiangbo,&Zhao Dongsheng.(2022).Eco-geographical Regionalization of China: An Approach Using the Rough Set Method.CHINESE GEOGRAPHICAL SCIENCE,32(1),93-109. |
| MLA | Deng Haoyu,et al."Eco-geographical Regionalization of China: An Approach Using the Rough Set Method".CHINESE GEOGRAPHICAL SCIENCE 32.1(2022):93-109. |
入库方式： OAI收割
来源：地理科学与资源研究所
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