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Flood susceptibility mapping in an arid region of Pakistan through ensemble machine learning model 期刊论文
发表期刊: STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT. 出版年: 2022
作者:  Yaseen, Andaleeb;  Lu, Jianzhong;  Chen, Xiaoling
收藏  |  浏览/下载：12/0  |  提交时间：2022/03/17
Flash flood  Logistic regression  Support vector machine  Multi-layer perceptron  Ensemble classifier  
Using different multivariate approaches to assess water quality of qanats in arid zones of Southern Central Mexico 期刊论文
发表期刊: ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH. 出版年: 2022
作者:  Elias Sedeno-Diaz, Jacinto;  Lopez-Lopez, Eugenia;  Joseph Rodriguez-Romero, A.;  Fierro Leos, Karla;  Tiburcio Martinez, Melissa;  Escobar Sanchez, Oscar Emiliano
收藏  |  浏览/下载：11/0  |  提交时间：2022/03/17
Classification trees  Arid and semi-arid regions  Groundwater analysis  
Revealing the Structure and Composition of the Restored Vegetation Cover in Semi-Arid Mine Dumps Based on LiDAR and Hyperspectral Images 期刊论文
发表期刊: REMOTE SENSING. 出版年: 2022, 卷号: 14, 期号: 4
作者:  Tang, Jiajia;  Liang, Jie;  Yang, Yongjun;  Zhang, Shaoliang;  Hou, Huping;  Zhu, Xiaoxiao
收藏  |  浏览/下载：17/0  |  提交时间：2022/03/17
ecological restoration  hierarchical classification  vegetation structure  LiDAR  vegetation species  
Evolution of Desertification Types on the North Shore of Qinghai Lake 期刊论文
发表期刊: CMC-COMPUTERS MATERIALS & CONTINUA. 出版年: 2022, 卷号: 71, 期号: 2, 页码: 3635-3646
作者:  Yu, Wenzheng;  Cui, Jintao;  Gao, Yang;  Zhu, Mingxuan;  Shao, Li;  Shen, Yanbo;  Zhang, Xiaozhao;  Guo, Chen;  Zhang, Hanxiaoya
收藏  |  浏览/下载：16/0  |  提交时间：2022/02/12
Qinghai Lake  desertification  evolution mechanism  remote sensing  
Predicting wind erosion rate using portable wind tunnel combined with machine learning algorithms in calcareous soils, southern Iran 期刊论文
发表期刊: JOURNAL OF ENVIRONMENTAL MANAGEMENT. 出版年: 2022, 卷号: 304
作者:  Mina, Monireh;  Rezaei, Mahrooz;  Sameni, Abdolmajid;  Ostovari, Yaser;  Ritsema, Coen
收藏  |  浏览/下载：23/0  |  提交时间：2022/03/17
Decision tree  Dust emission  Genetic algorithm  Land degradation  
Prediction of missing temperature data using different machine learning methods 期刊论文
发表期刊: ARABIAN JOURNAL OF GEOSCIENCES. 出版年: 2022, 卷号: 15, 期号: 1
作者:  Katipoglu, Okan Mert
收藏  |  浏览/下载：27/0  |  提交时间：2022/02/12
Temperature  Missing data  Support vector machines (SVM)  Decision tree (DT)  Adaptive neuro-fuzzy inference system (ANFIS)  
Evaluate River Water Salinity in a Semi-Arid Agricultural Watershed by Coupling Ensemble Machine Learning Technique with SWAT Model 期刊论文
发表期刊: JOURNAL OF THE AMERICAN WATER RESOURCES ASSOCIATION. 出版年: 2021
作者:  Jung, Chunggil;  Ahn, Sora;  Sheng, Zhuping;  Ayana, Essayas K.;  Srinivasan, Raghavan;  Yeganantham, Dhanesh
收藏  |  浏览/下载：12/0  |  提交时间：2021/11/29
watershed management  machine learning  SWAT  water salinity  soil texture  irrigation  watershed  surface water  groundwater interactions  
Dynamic simulation of future date palm plantation (Phoenix dactylifera L.) growth using CA-Markov model and FAO-LCCS data in Algerian dryland oases desert 期刊论文
发表期刊: MODELING EARTH SYSTEMS AND ENVIRONMENT. 出版年: 2021
作者:  Mihi, Ali
收藏  |  浏览/下载：3/0  |  提交时间：2021/11/19
Algeria  WaPOR  FAO-LCCS  CA-Markov  DPP  
Relative Growth Rate and Biomass Allocation among Some Important Commonly Planted Trees in an Irrigated Urban Landscape 期刊论文
发表期刊: JOURNAL OF SUSTAINABLE FORESTRY. 出版年: 2021
作者:  Ayub, Rida;  Siddiq, Zafar;  Hayyat, Muhammad Umar;  Iftikhar, Tehreema
收藏  |  浏览/下载：27/0  |  提交时间：2021/11/29
Above- and below-ground biomass  allometric equations  functional traits  growth rate  urban forests  
Integration of statistical models and ensemble machine learning algorithms (MLAs) for developing the novel hybrid groundwater potentiality models: a case study of semi-arid watershed in Saudi Arabia 期刊论文
发表期刊: GEOCARTO INTERNATIONAL. 出版年: 2021
作者:  Mallick, Javed;  Talukdar, Swapan;  Alsubih, Majed;  Almesfer, Mohammed K.;  Shahfahad;  Hang, Hoang Thi;  Rahman, Atiqur
收藏  |  浏览/下载：12/0  |  提交时间：2021/11/29
Groundwater potential modelling  ensemble machine learning algorithm  statistical models  novel hybrid models  information gain ratio