Risk Assessment System Based on WebGIS for Heavy Metal Pollution in Farmland Soils in China
文献类型： 外文期刊
作者： Pan, Shouhui 1 ; Wang, Kaiyi 1 ; Wang, Li 2 ; Wang, Zhibin 1 ; Han, Yanyun 1 ;
作者机构： 1.Beijing Acad Agr & Forestry Sci, Beijing Res Ctr Informat Technol Agr, Beijing 100097, Peoples R China
2.Beihang Univ, Sch Econ & Management, Beijing 100191, Peoples R China
关键词： decision support system;heavy metal pollution;farmland soil;WebGIS
期刊名称：SUSTAINABILITY （ 影响因子：3.251； 五年影响因子：3.473 ）
ISSN： 2071-1050
年卷期： 2017 年 9 卷 10 期
页码：
收录情况： SCI
摘要： Heavy metal pollution in farmlands is a serious threat to sustainable agricultural development and has become a major agro-ecological problem that has attracted public concern in China. This study proposes a soil-crop collaborative risk assessment model that aims to assess the potential safety risks of heavy metal pollution in farmland soils by considering the concentrations of heavy metals in soils and the accumulation effects of heavy metals in crops. Based on these effects, a decision support system for risk assessment of heavy metal pollution in farmland soil is established, in which technologies such as web-based geographic information system, quick response code, radio frequency identification, and web service are introduced as the bases. The proposed system is composed of a mobile data acquisition terminal (MDAT) and a web-based information system (WIS). The MDAT, which is a portable computerized device running on the Android platform, is used for data acquisition or query, and the WIS is used for risk assessment, data management, and information visualization. The system is employed in some county-level cities in China for risk assessment and supervision of heavy metal pollution in farmlands. The practical application results show that the system provides highly efficient decision support for risk assessment of heavy metal pollution in farmland soils.
- 相关文献
作者其他论文 更多>>
-
Prediction of maize cultivar yield based on machine learning algorithms for precise promotion and planting
作者：Han, Yanyun;Wang, Kaiyi;Yang, Feng;Pan, Shouhui;Liu, Zhongqiang;Zhang, Qiusi;Zhang, Qi;Han, Yanyun;Wang, Kaiyi;Yang, Feng;Pan, Shouhui;Liu, Zhongqiang;Zhang, Qiusi;Zhang, Qi
关键词：Prediction of maize cultivar yield; Machine learning; Random forest; Levenberg - Marquardt neural network; Multilayer perceptron neural network; Assessment of varieties
-
Developing a comprehensive evaluation model of variety adaptability based on machine learning method
作者：Han, Yanyun;Wang, Kaiyi;Zhang, Qi;Yang, Feng;Pan, Shouhui;Liu, Zhongqiang;Zhang, Qiusi;Han, Yanyun;Wang, Kaiyi;Zhang, Qi;Yang, Feng;Pan, Shouhui;Liu, Zhongqiang;Zhang, Qiusi
关键词：Maize variety adaptability evaluation; Variety adaptability comprehensive evaluation index; Entropy weight method; Machine learning method
-
TrG2P: A transfer-learning-based tool integrating multi-trait data for accurate prediction of crop yield
作者：Li, Jinlong;Zhang, Dongfeng;Yang, Feng;Zhang, Qiusi;Pan, Shouhui;Zhao, Xiangyu;Zhang, Qi;Han, Yanyun;Wang, Kaiyi;Zhao, Chunjiang;Li, Jinlong;Zhang, Dongfeng;Yang, Feng;Zhang, Qiusi;Pan, Shouhui;Zhao, Xiangyu;Zhang, Qi;Han, Yanyun;Wang, Kaiyi;Zhao, Chunjiang;Yang, Jinliang;Yang, Jinliang
关键词：crop; genotype to phenotype; transfer learning; yield prediction; multi-trait
-
IoT-based system of prevention and control for crop diseases and insect pests
作者：Wang, Zhibin;Qiao, Xiaojun;Wang, Ying;Yu, Hao;Wang, Zhibin;Qiao, Xiaojun;Wang, Ying;Yu, Hao;Mu, Cuixia
关键词：ozone; Internet of Things (IoT); diseases; insect pests; pesticide-free; light trap; remote control
-
Prediction of corn variety yield with attribute-missing data via graph neural network
作者：Yang, Feng;Zhang, Dongfeng;Han, Yanyun;Zhang, Qiusi;Zhang, Qi;Liu, Zhongqiang;Wang, Kaiyi;Zhang, Yuqing;Zhang, Yong;Han, Yanyun;Liu, Zhongqiang;Wang, Kaiyi;Zhang, Qiusi;Zhang, Qi;Zhang, Chenghui
关键词：Corn variety yield prediction; Graph neural network; Data imputation; Adversarial learning
-
Maize yield prediction using federated random forest
作者：Zhang, Qiusi;Wang, Kaiyi;Zhao, Chunjiang;Zhang, Qiusi;Zhao, Xiangyu;Han, Yanyun;Yang, Feng;Pan, Shouhui;Liu, Zhongqiang;Wang, Kaiyi;Zhao, Chunjiang;Zhang, Qiusi;Zhao, Xiangyu;Han, Yanyun;Yang, Feng;Pan, Shouhui;Liu, Zhongqiang;Wang, Kaiyi;Zhao, Chunjiang
关键词：Yield prediction; Joint breeding; Federated learning; Intelligent agriculture
-
Precise Recommendation Method of Suitable Planting Areas of Maize Varieties Based on Knowledge Graph
作者：Zou, Yidong;Zhao, Chunjiang;Zou, Yidong;Pan, Shouhui;Yang, Feng;Zhang, Dongfeng;Han, Yanyun;Zhao, Xiangyu;Wang, Kaiyi;Zhao, Chunjiang;Zou, Yidong;Pan, Shouhui;Yang, Feng;Zhang, Dongfeng;Han, Yanyun;Zhao, Xiangyu;Wang, Kaiyi;Zhao, Chunjiang
关键词：maize varieties; knowledge graph; recommendation model; RippleNet; county-scale
