| Issue |
E3S Web of Conf.
Volume 406, 2023
2023 9th International Conference on Energy Materials and Environment Engineering (ICEMEE 2023)
|
|
|---|---|---|
| Article Number | 04039 | |
| Number of page(s) | 8 | |
| Section | Geographic Remote Sensing Application and Environmental Modeling | |
| DOI | https://doi.org/10.1051/e3sconf/202340604039 | |
| Published online | 31 July 2023 | |
A Preliminary Study on the Research and Development of Digital Soil and Water Conservation Intelligent Management Platform -- Taking Anji County as an example
1 Zhejiang Guangchuan Engineering Consulting Co., Ltd, Hangzhou, Zhejiang 310020, China
2 Zhejiang Institute of Hydraulics and Estuary, Hangzhou, Zhejiang 310020, China
3 Anji County Water Conservancy Bureau, Huzhou, Zhejiang 313300, China
In order to comprehensively improve the digital level of soil and water conservation in Anji County, it is necessary to realize the "one map management" of soil and water conservation by the information sharing and interaction among multiple government departments. With the new generation of information technologies such as big data, digital twin, artificial intelligence and virtual reality, use "11143" as the construction framework, improve the data warehouse of soil and water conservation to achieve "one map management" of the whole life cycle of production and construction projects; monitor soil erosion in real time through satellite remote sensing data and provide early warning and forecasting; and dock with the national "double carbon" strategy to build a carbon sink management system for soil and water conservation. It is expected to be built into a water and soil conservation wisdom management platform that meets multiple business application scenarios such as supervision of production and construction projects, dynamic monitoring and comprehensive management of soil erosion, wisdom decision making and application, and industry promotion services.
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.