Monitoring System of Zhengzhou Section of Yellow River Basin Based on PIE-Engine Cloud Computing Platform
College of Information Science and Engineering, Henan University of Technology, Zhengzhou 450001, China
| Abstract: | This study aims to make full use of the PIE-Engine Studio remote sensing real-time computing cloud platform to comprehensively assess the ecological environment of the Yellow River Basin. In this platform, we constructed a monitoring system specifically for the Yellow River basin, which integrates multi-source remote sensing data to provide comprehensive ecological environmental monitoring and assessment. In the monitoring system of the Yellow River Basin, we have established modules such as river course change, water body monitoring, vegetation cover, and remote sensing ecological index analysis to comprehensively evaluate the trend of long-term evolution of the Yellow River Basin ecosystem. The channel change module tracks the changes in channel morphology through real-time remote sensing data, providing important information for water resources management. The water body monitoring module focuses on monitoring water quality and distribution to obtain a comprehensive understanding of the dynamics of water resources. The vegetation cover module uses remote sensing data to monitor vegetation cover and assess ecosystem health. The remote sensing ecological index analyzes heat, dryness, humidity, and greenness, and then evaluates the obtained results to obtain the final analysis and evaluation. By using the early warning point identification method, we comprehensively evaluated the ecological environment quality of the Yellow River across different spatial and temporal scales. This comprehensive assessment provides the local scientific basis, and provides strong support for the protection and planning decisions of the ecological environment, and provides detailed data and scientific basis for the ecological sustainable development of the Yellow River Basin. |
| Keywords: | PIE-Engine; Water Monitoring; River Course Change; Vegetation Cover; Evaluation and Analysis |
| DOI: | 10.57237/j.wjese.2024.01.002 |
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Received: 31 December 2023
Accepted: 5 February 2024
Published Online: 11 March 2024
References
| [1] | 瞿萌, 陈准, 闫明涛等. 黄河流域城镇化与生态环境耦合协调及交互胁迫关系研究 [J]. 人民黄河, 2023, 45(12): 19-24. |
| [2] | 郑佳琦. 长江黄河流域氮磷通量时空变化规律及关键驱动因素研究 [D]. 中国环境科学研究院, 2023. |
| [3] | 赵洋. 黄河流域省区间水权分配及水生态补偿 [D]. 东北财经大学, 2023. |
| [4] | 庞雅颂, 王琳. 区域生态安全评价方法综述 [J]. 中国人口•资源与环境, 2014, 24(S1): 340-344. |
| [5] | 吴艳霞, 罗恒, 梁志康. 长江经济带生态安全测度研究 [J].生态学报, 2020, 40(19): 6761-6775. |
| [6] | 王文萱, 李明孝. 基于DPSIR的湖南省土地生态安全时空变化 [J]. 生态学志, 2020. |
| [7] | 崔馨月, 方雷, 王祥荣等. 基于DPSIR模型的长三角城市群生态安全评价研究 [J]. 生态学报, 2021, 41(01): 302-319. |
| [8] | 张继权, 伊坤朋, Hiroshi Tani等.基于DPSIR的吉林省白山市生态安全评价 [J]. 应用生态学报, 2011, 22(01): 189-195. |
| [9] | 杨振龙, 左其亭, 姜龙等. 黄河流域九省区城镇化与生态安全交互作用机制 [J]. 南水北调与水利科技(中英文), 2022, 20(01): 191-200. |
| [10] | 陈明华, 柴鹏, 陈文祥, 黄坤, 陈志彪. 不同植被指数估算植被覆盖度的比较研究 [J]. 亚热带水土保持, 2016, 28(01): 1-4+56. |
| [11] | 王正兴, 刘闯, HUETE Alfredo. 植被指数研究进展:从AVHRR-NDVI到MODIS-EVI [J]. 生态学报, 2003, (05): 979-987. |
| [12] | 徐涵秋. 利用改进的归一化差异水体指数(MNDWI)提取水体信息的研究 [J]. 遥感学报, 2005, (05): 589-595. |
| [13] | 赵春燕, 禹定峰, 周燕等. 水体透明度遥感反演算法研究进展 [J]. 海洋科学, 2023, 47(05): 176-185. |
| [14] | 徐涵秋. 区域生态环境变化的遥感评价指数 [J]. 中国环境科学, 2013, 33(05): 889-897. |
| [15] | 李婧, 郝育红, 孙京敏等. 基于遥感生态指数的城市矿山生态环境时空变化评价 [J]. 城市发展研究, 2021, 28(01): 17-22. |
| [16] | 刘东, 欧阳安, 陈聪等. 基于归一化植被指数的农田边界识别方法 [J]. 江苏农业科学, 2022, 50(11): 196-201. |
| [17] | 刘索玄, 袁艳斌, 赵皞等. 基于遥感生态指数(RSEI)的水电开发区生态环境变化分析: 以清江中下游地区为例 [J]. 生态与农村环境学报, 2019, 35(11): 1361-1368. |
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