Data · dataset · 2022
2020 Ecological Sensitivity Evaluation Dataset of Sanya City
Listed in ScienceDB
Ecological sensitivity refers to the sensitivity of the ecological environment to the natural phenomena and human activities in the region.
Description
It reflects the possibility of ecological imbalance and ecological environmental problems. It is one of the main methods to analyze the stability of the regional ecological environment.
It is important for regional ecological protection and decision-making. As the central city in the southern part of Hainan Province, Sanya City, improving and protecting the ecological environment plays an important role in the sustainable development of the region. This paper selects Sanya City as the study area to make a 2020 Sanya City Ecological Environment Sensitivity Evaluation Data Set.
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The dataset uses 9 factors, including elevation, slope, aspect, vegetation coverage, water body, land use type, soil erosion intensity, population density distribution, and road accessibility distance as the ecological sensitivity evaluation indicators. And we adopt the analytic hierarchy process ( AHP) to calculate the weight of each evaluation index, and divide the study area into five levels: non-sensitive, low-sensitive, medium-sensitive, high-sensitive, and extremely high-sensitive through GIS spatial analysis and calculation.
This dataset reflects the ecological sensitivity of Sanya City, and provides a reference data source for ecological environmental protection, resource development and land planning in Sanya City.
Links
Where it is published
- DOI doi.org/10.11922/sciencedb.j00001.00335 ↗
DOI / persistent id · from scidb cn
Catalogue records · 1
- OAI-PMH record scidb.cn/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=10.11922%2… ↗
metadata API · from scidb cn
Topics
- From keywords
- Earth & Environmental Science · Engineering · Humanities · Life Sciences · Social Science
- Inferred from text
- Ecology 68%
Provenance · 1 source records, 11 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| ScienceDB | 10.11922/sciencedb.j00001.00335 | 9 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].anzsrc:group:3103 | enrichment · scidb cn | taxonomy-embedding@1.0.0 | title+keywords+description (68%) |
| concepts[field].local:field:earth-environmental | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:engineering | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:humanities | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:social-science | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| description | source · scidb cn | connector:scidb_cn@1.0.0 | /metadata/dc/description |
| license | source · scidb cn | connector:scidb_cn@1.0.0 | /metadata/dc/rights |
| publication_date | source · scidb cn | connector:scidb_cn@1.0.0 | |
| title | source · scidb cn | connector:scidb_cn@1.0.0 | /metadata/dc/title |