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Deep learning and boosting framework for piping erosion susceptibility modeling: spatial evaluation of agricultural areas in the semi-arid region 期刊论文
发表期刊: GEOCARTO INTERNATIONAL. 出版年: 2021
作者:  Chen, Yunzhi;  Chen, Wei;  Janizadeh, Saeid;  Bhunia, Gouri Sankar;  Bera, Amit;  Quoc Bao Pham;  Nguyen Thi Thuy Linh;  Balogun, Abdul-Lateef;  Wang, Xiaojing
收藏  |  浏览/下载：12/0  |  提交时间：2021/07/30
Piping erosion  agriculture land use  machine learning  deep boosting  Zarandieh watershed  
Dynamic characteristics and driving factors of vegetation greenness under changing environments in Xinjiang, China 期刊论文
发表期刊: ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH. 出版年: 2021
作者:  He, Panxing;  Sun, Zongjiu;  Han, Zhiming;  Dong, Yiqiang;  Liu, Huixia;  Meng, Xiaoyu;  Ma, Jun
收藏  |  浏览/下载：15/0  |  提交时间：2021/07/30
Vegetation greenness  Abrupt change  Gradual change  Environmental factors  Land-use management  Xinjiang  
Climate and geochemistry interactions at different altitudes influence soil organic carbon turnover times in alpine grasslands 期刊论文
发表期刊: AGRICULTURE ECOSYSTEMS & ENVIRONMENT. 出版年: 2021, 卷号: 320
作者:  Zhao, Yun Fei;  Wang, Xia;  Jiang, Si Long;  Zhou, Xiao He;  Liu, Hui Ying;  Xiao, Jin Jin;  Hao, Zhi Guo;  Wang, Kai Chang
收藏  |  浏览/下载：1/0  |  提交时间：2021/11/29
Alpine grassland  Carbon turnover times  Geochemistry  Climate  Altitude  Tibet Plateau  
基于增强回归树的红壤旱坡花生地气态氮损失影响因素分析 期刊论文
发表期刊: 生态与农村环境学报. 出版年: 2021, 卷号: 37, 期号: 5, 页码: 1673-4831
作者:  尤昆明;  刘士余;  聂小飞;  胡小丹;  郑海金
收藏  |  浏览/下载：4/0  |  提交时间：2021/11/19
red soil  arid hillside  peanut field  N_2O emission  NH_3 volatilization  boosted regression tree(BRT)  
Modeling of Groundwater Potential Using Cloud Computing Platform: A Case Study from Nineveh Plain, Northern Iraq 期刊论文
发表期刊: WATER. 出版年: 2021, 卷号: 13, 期号: 23
作者:  Al-Ozeer, Ali ZA.;  Al-Abadi, Alaa M.;  Hussain, Tariq Abed;  Fryar, Alan E.;  Pradhan, Biswajeet;  Alamri, Abdullah;  Abdul Maulud, Khairul Nizam
收藏  |  浏览/下载：5/0  |  提交时间：2022/02/12
cloud computing  groundwater potential mapping  GIS  machine learning  Iraq  
Comparison of new individual and hybrid machine learning algorithms for modeling and mapping fire hazard: a supplementary analysis of fire hazard in different counties of Golestan Province in Iran 期刊论文
发表期刊: NATURAL HAZARDS. 出版年: 2020, 卷号: 104, 期号: 1, 页码: 305-327
作者:  Eskandari, Saeedeh;  Amiri, Mahdis;  Sadhasivam, Nitheshnirmal;  Pourghasemi, Hamid Reza
收藏  |  浏览/下载：16/0  |  提交时间：2021/01/07
Fire hazard mapping  Individual and hybrid modeling  Effective factors  XGBoost  Machine learning  Distance to urban areas (DTU)  
Spatial mapping of the provenance of storm dust: Application of data mining and ensemble modelling 期刊论文
发表期刊: ATMOSPHERIC RESEARCH. 出版年: 2020, 卷号: 233
作者:  Gholami, Hamid;  Mohamadifar, Aliakbar;  Collins, Adrian L.
收藏  |  浏览/下载：14/0  |  提交时间：2020/05/22
Dust provenance  Spatial modelling  Data mining algorithms  Multicollinearity  Receiver operating characteristic  Ensemble modelling  R software  
Novel Ensemble of MCDM-Artificial Intelligence Techniques for Groundwater-Potential Mapping in Arid and Semi-Arid Regions (Iran) 期刊论文
发表期刊: REMOTE SENSING. 出版年: 2020, 卷号: 12, 期号: 3
作者:  Arabameri, Alireza;  Lee, Saro;  Tiefenbacher, John P.;  Phuong Thao Thi Ngo
收藏  |  浏览/下载：6/0  |  提交时间：2020/05/22
modeling  random forest  frequency ration  VIKOR model  Bastam watershed  
A comparison of machine learning models for the mapping of groundwater spring potential 期刊论文
发表期刊: ENVIRONMENTAL EARTH SCIENCES. 出版年: 2020, 卷号: 79, 期号: 10
作者:  Al-Fugara, A';  kif;  Pourghasemi, Hamid Reza;  Al-Shabeeb, Abdel Rahman;  Habib, Maan;  Al-Adamat, Rida;  AI-Amoush, Hani;  Collins, Adrian L.
收藏  |  浏览/下载：6/0  |  提交时间：2020/07/01
Machine learning models  Groundwater mapping  Geographic information system  Variable importance  Jordan  
Relative contribution of biotic and abiotic factors to stemflow production and funneling efficiency: A long-term field study on a xerophytic shrub species in Tengger Desert of northern China 期刊论文
发表期刊: AGRICULTURAL AND FOREST METEOROLOGY. 出版年: 2020, 卷号: 280
作者:  Zhang, Ya-feng;  Wang, Xin-ping;  Pan, Yan-xia;  Hu, Rui
收藏  |  浏览/下载：25/0  |  提交时间：2020/05/22
Stemflow  Biotic variables  Abiotic variables  Boosted regression trees  Relative contribution