资源简介

摘要： 湖泊等水体水质状况直接关系到人类社会的可持续发展。传统的水环境质量评价体系大都基于统计数据和原位测量数据，存在周期过长和时效性差等问题，难以实现大范围、连续地湖泊水环境质量评价。遥感技术的发展为高时空分辨率的湖泊水环境质量评价提供了可能。在总结现有湖泊水环境质量评价体系的基础上，以联合国可持续发展目标（Sustainable Development Goals, SDGs）中指标SDG 6.3.2（环境水质良好的水体比例）为导向，结合统计数据、野外实测数据和卫星遥感数据等地球大数据构建了“美丽湖泊”综合评价体系，以期在联合国可持续发展目标框架下，推进我国湖泊水环境质量综合评价，为美丽中国评价提供技术参考。 关键词： 地球大数据;  “美丽湖泊”;  SDG 6.3.2;  “美丽中国”     Abstract: Lake water quality is directly related to the survival and development of human beings and society. Most of the existing assessment systems are based on statistical data and in-situ measurement data. Due to the long cycle and poor timeliness, these assessment systems are hard to achieve large-scale and continuous assessment of lake water environment. The development of remote sensing technology has made it possible to evaluate the quality of lake water environment with high spatial and temporal resolution. Thus, after summarizing the existing lake water environment quality assessment system, a new assessment system called “Beautiful Lakes” comprehensive assessment system was developed. A novel index system based on Big Earth Data (such as statistical data, field measured data and satellite remote sensing data) was first developed and integrates human activities, water quality, biology and hydrology indexes. Then, the threshold of each index was determined and the Percentage Compliance of Water Quality Index (cwq) was calculated. Following UN water, the threshold 80% of cwq was used to classify the water quality, which means if a certain water body is with cwq greater than 80%, the water quality is “good”; otherwise, the water quality is poor. Finally, the Percentage of Water Bodies of Good Quality (WBGQ) was calculated to attain the comprehensive assessment of water quality on a large scale (basin scale or national scale). The new assessment system will promote the comprehensive assessment of lake water environment quality in China under the framework of the UN Sustainable Development Goals and provide a technical reference for the evaluation of beautiful China.

相关资源

1. 水质遥感监测的关键要素叶绿素a的反演算法研究进展
2. 基于无人机遥感技术的森林参数获取研究进展
3. 基于无线传感器网络的森林生态系统观测试验平台构建
4. 基于无人机激光雷达的森林冠层高度分析
5. 多源时序国产卫星影像的森林火灾动态监测
6. 基于无人机遥感技术的台风灾害倒伏绿化树木检测

下载说明

·如果您发现该资源不能下载，请通知管理员.gissky@gmail.com

·为确保下载的资源能正常使用，请使用[WinRAR v3.8]或以上版本解压本站资源,缺省解压密码www.gissky.net ，如果是压缩文件为分卷多文件，请依次下载每一个文件，并按照顺序命名为1.rar,2.rar,3.rar...，然后鼠标右击1.rar解压.

·为了保证您快速的下载速度，我们推荐您使用[网际快车]等专业工具下载.

·站内提供的资源纯属学习交流之用,如侵犯您的版权请与我们联系.