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科研机构
地理科学与资源研究... [11]
南京地理与湖泊研究所 [4]
心理研究所 [2]
重庆绿色智能技术研究... [2]
烟台海岸带研究所 [2]
成都山地灾害与环境研... [1]
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期刊论文 [25]
学位论文 [1]
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2021 [26]
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Environmen... [1]
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Characteristics and prevention mechanisms of artificial slope instability in the Chinese Loess Plateau
期刊论文
CATENA, 2021, 卷号: 207, 页码: 12
作者:
Zhang, Xuanchang
;
Li, Yurui
;
Liu, Yansui
;
Huang, Yunxin
;
Wang, Yongsheng
收藏
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浏览/下载:58/0
  |  
提交时间:2021/11/05
Artificial slope instability
Gully Land Consolidation project
Back Propagation Neural Network (BPNN)
Gutun watershed
Parallel crop planning based on price forecast
期刊论文
INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS, 2021, 期号: 1, 页码: 22
作者:
Fan, Menghan
;
Kang, Mengzhen
;
Wang, Xiujuan
;
Hua, Jing
;
He, Chaoxing
收藏
  |  
浏览/下载:29/0
  |  
提交时间:2021/12/28
agent-based modeling
crop planning
parallel agricultural management
price prediction
A discrete model of ontogenetic growth
期刊论文
ECOLOGICAL MODELLING, 2021, 卷号: 460, 页码: 8
作者:
Shu, Shu-miao
;
Zhu, Wan-ze
;
Kontsevich, George
;
Zhao, Yang-yi
;
Wang, Wen-zhi
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  |  
浏览/下载:36/0
  |  
提交时间:2021/12/09
Von bertalanffy paradigm
Iterative growth model
Organism growth curve
Growth and maintenance respiration
Seasonal Dynamics of Bathyarchaeota-Dominated Benthic Archaeal Communities Associated with Seagrass (Zostera japonica) Meadows
期刊论文
JOURNAL OF MARINE SCIENCE AND ENGINEERING, 2021, 卷号: 9, 期号: 11, 页码: 15
作者:
Liu, Pengyuan
;
Zhang, Haikun
;
Song, Zenglei
;
Huang, Yanyan
;
Hu, Xiaoke
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  |  
浏览/下载:14/0
  |  
提交时间:2022/07/04
archaea
seasonality
diversity
ecological functions
seagrass
Bathyarchaeota
Correlation Analysis between Land-Use/Cover Change and Coastal Subsidence in the Yellow River Delta, China: Reviewing the Past and Prospecting the Future
期刊论文
REMOTE SENSING, 2021, 卷号: 13, 期号: 22, 页码: 14
作者:
Zhang, Yi
;
Liu, Yilin
;
Zhang, Xinyuan
;
Huang, Haijun
;
Qin, Keyu
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  |  
浏览/下载:22/0
  |  
提交时间:2022/07/15
land-use/cover change
coastal subsidence
underground brine exploitation
Sentinel-1A
Landsat
GIS
Artificial forest conversion into grassland alleviates deep-soil desiccation in typical grass zone on China's Loess Plateau: Regional modeling
期刊论文
AGRICULTURE ECOSYSTEMS & ENVIRONMENT, 2021, 卷号: 320, 页码: 10
作者:
Bai, Xiao
;
Jia, Xiaoxu
;
Zhao, Chunlei
;
Shao, Ming'an
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浏览/下载:57/0
  |  
提交时间:2021/11/05
Soil hydrology
Dry soil layer
Land-use change
Hydrus-1D
China's Loess Plateau
Incorporation of high accuracy surface modeling into machine learning to improve soil organic matter mapping
期刊论文
ECOLOGICAL INDICATORS, 2021, 卷号: 129, 页码: 13
作者:
Wang, Zong
;
Du, Zhengping
;
Li, Xiaoyan
;
Bao, Zhengyi
;
Zhao, Na
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  |  
浏览/下载:54/0
  |  
提交时间:2021/11/05
Soil organic matter
Dongzhi Loess Tableland
Gradient boosting modeling
Random forest
High accuracy surface modeling
Global sensitivity and uncertainty analysis of the VIP ecosystem model with an expanded soil nitrogen module for winter wheat-summer maize rotation system in the North China Plain
期刊论文
PEDOSPHERE, 2021, 卷号: 31, 期号: 5, 页码: 822-838
作者:
He, Lihong
;
Mo, Xingguo
;
Hu, Shi
;
Liu, Suxia
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  |  
浏览/下载:94/0
  |  
提交时间:2021/08/19
ammonia volatilization
denitrification rate
global sensitivity analyses
shuffled complex evolution developed at the University of Arizona (SCE-UA) algorithm
vegetation interface processes model
UAV-based individual shrub aboveground biomass estimation calibrated against terrestrial LiDAR in a shrub-encroached grassland
期刊论文
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, 2021, 卷号: 101, 页码: 12
作者:
Zhao, Yujin
;
Liu, Xiaoliang
;
Wang, Yang
;
Zheng, Zhaoju
;
Zheng, Shuxia
收藏
  |  
浏览/下载:74/0
  |  
提交时间:2021/08/19
Shrub encroachment
Biomass
Unmanned aerial vehicle (UAV)
Terrestrial laser scanning
Volume
Individual shrub identification
Ecological risk assessment of heavy metal contamination of mining area soil based on land type changes: An information network environ analysis
期刊论文
ECOLOGICAL MODELLING, 2021, 卷号: 455, 页码: 13
作者:
Lu, Jingzhao
;
Lu, Hongwei
;
Wang, Weipeng
;
Feng, SanSan
;
Lei, Kaiwen
收藏
  |  
浏览/下载:48/0
  |  
提交时间:2021/08/19
Network environ analysis (NEA)
The finite element method (FEM)
Ecological risk assessment
Heavy metals
Mining ecosystems
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