1.
Multi-objective particle swarm optimization and its application in space layout optimization of groundwater
MOPSO算法及其在地下水监测网布局优化中的应用
2.
Study on Groundwater Monitoring System Based on Intelligent Network Sensing Technology;
基于智能网络传感技术的地下水动态监测系统研究
3.
Real-time Monitoring and Dynamic Forecast of Coal Mine Ground Water-level Based Neural Net;
基于神经网络的煤矿地下水位实时监测和动态预报
4.
Application of Fuzzy Cluster Analysis Method to Optimization of Groundwater Quality Monitoring Network around Dam-site
模糊聚类分析法在坝址地下水质监测网优化中的应用
5.
Research on the Water Supply Network Supervision System in Mine Yard
矿山工业场地供水管网监测系统研究
6.
Application of Time Series Analysis Method in Groundwater Level Automation Monitoring
地下水观测井水位自动化监测合理配置研究
7.
The Study of the Groundwater Environmental Monitoring Information System in Daqing City
大庆市地下水环境监测信息系统研究
8.
A Study on the GPRS-based Serwer Gas Monitoring System;
基于GPRS网络的下水道可燃气体监测系统的研究
9.
The Monitoring Data Management of Land Subsidence and Ground Water Level in Xi'an
西安市地面沉降与地下水位监测数据管理
10.
Research on Key Techniques of Urban Underground Gas Pipeline Leak Mornitoring
城市地下燃气管网泄漏监测关键技术研究
11.
Design and Implementation of City Groundwater Quality Security Inspection System;
城市地下水质安全监测系统的设计与实现
12.
Feedback Analysis Based on Monitoring of the Caverns Excavation of Underground Hydropower Plants
水电站地下厂房洞室群施工监测反馈分析
13.
Intelligent Wireless-sensor-based Groundwater Monitoring system
基于无线传感技术的智能地下水动态监测系统
14.
Construction of multi-level monitoring well and sampling technology for groundwater contamination investigation
地下水污染调查多级监测井建造及取样技术
15.
Monitoring and Analysis of a Water conveyance Culvert Under-passing Wukesong Metro Station
输水暗涵下穿地铁五棵松站工程专项监测分析
16.
Present Status of Study on Monitoring Technics of Organic Contamination Contained in the Groundwater
地下水有机污染物监测技术的研究现状
17.
It is suggested that soil and water conservation publicity should be continuously strengthened, exemplary projects and soil conservation monitoring network should be well established to lay a good foundation for overall monitoring and supervision.
要继续加大水土保持宣传，建好示范工程，建好水土保持监测网络，为全面开展监测打下基础。
18.
Application of Neural Network Expert System on Predicting the Quality of Sub-groundwater;
应用神经网络专家系统预测浅层地下水水质