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Chinese Academy of Sciences Institutional Repositories Grid
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CAS IR Grid
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Priority sources identification and risks assessment of heavy metal(loid)s in agricultural soils of a typical antimony mining watershed
期刊论文
OAI收割
JOURNAL OF ENVIRONMENTAL SCIENCES, 2025, 卷号: 147, 页码: 153-164
作者:
Liu, Lianhua
;
Li, You
;
Gu, Xiang
;
Tulcan, Roberto Xavier Supe
;
Yan, Lingling
  |  
收藏
  |  
浏览/下载:39/0
  |  
提交时间:2024/04/01
Antimony
Heavy metal(loid)
Risk assessment
Pollution sources
Mining and smelting
Machine-learning intervention progress in the field of organic waste composting: Simulation, prediction, optimization, and challenges
期刊论文
OAI收割
WASTE MANAGEMENT, 2024, 卷号: 178, 页码: 155-167
作者:
Huang, Li-ting
;
Hou, Jia-yi
;
Liu, Hong-tao
  |  
收藏
  |  
浏览/下载:7/0
  |  
提交时间:2024/05/06
Machine -learning intervention
Organic waste composting
Composting quality
Composting maturity
Aerobic composting
Soil moisture decline in China's monsoon loess critical zone: More a result of land- use conversion than climate change
期刊论文
OAI收割
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2024, 卷号: 121, 期号: 15, 页码: 8
作者:
Wang, Yunqiang
;
Hu, Wei
;
Sun, Hui
;
Zhao, Yali
;
Zhang, Pingping
  |  
收藏
  |  
浏览/下载:0/0
  |  
提交时间:2024/05/27
water
afforestation
deep soil
the Loess Plateau
monsoon climate
Comprehensive propagation characteristics between paired meteorological and hydrological drought events: Insights from various underlying surfaces
期刊论文
OAI收割
ATMOSPHERIC RESEARCH, 2024, 卷号: 299, 页码: 16
作者:
Chen, Junxu
;
Fan, Yunjiang
;
Zhang, Yongyong
;
Peng, Jiabin
;
Zhang, Jihui
  |  
收藏
  |  
浏览/下载:19/0
  |  
提交时间:2024/03/25
Meteorological drought
Hydrological drought
Propagation characteristics
Paired events
Underlying surfaces
SWAT
Advancing Digital Image-Based Recognition of Soil Water Content: A Case Study in Bailu Highland, Shaanxi Province, China
期刊论文
OAI收割
WATER, 2024, 卷号: 16, 期号: 8, 页码: 23
作者:
Zhang, Yaozhong
;
Zhang, Han
;
Lan, Hengxing
;
Li, Yunchuang
;
Liu, Honggang
  |  
收藏
  |  
浏览/下载:0/0
  |  
提交时间:2024/05/27
soil water content (SWC)
image processing
deep learning
attention mechanism
encoder-decoder architecture
Evaluation of digital soil mapping projection in soil organic carbon change modeling
期刊论文
OAI收割
ECOLOGICAL INFORMATICS, 2024, 卷号: 79, 页码: 12
作者:
Zhang, Tao
;
Huang, Lai-Ming
;
Yang, Ren-Min
  |  
收藏
  |  
浏览/下载:14/0
  |  
提交时间:2024/01/22
Soil carbon change
Digital soil mapping
Model projections
Environmental change
Temporal transferability
Differences in plant water use between check-dam land and slope land on the Loess Plateau: Significance for vegetation restoration
期刊论文
OAI收割
AGRICULTURE ECOSYSTEMS & ENVIRONMENT, 2024, 卷号: 362, 页码: 108849
作者:
Jia, Xiaoxu
;
Bai, Xiao
;
Liu, Chenggong
;
Zhao, Chunlei
;
Shao, Ming 'an
  |  
收藏
  |  
浏览/下载:14/0
  |  
提交时间:2024/01/26
Hillslope
Check dam
Water resource
Plant water use strategy
Evaluation of Ground Pressure, Bearing Capacity, and Sinkage in Rigid-Flexible Tracked Vehicles on Characterized Terrain in Laboratory Conditions
期刊论文
OAI收割
SENSORS, 2024, 卷号: 24, 期号: 6, 页码: 30
作者:
Rauf, Omer
;
Ning, Yang
;
Ming, Chen
;
Ma, Haoxiang
  |  
收藏
  |  
浏览/下载:1/0
  |  
提交时间:2024/05/07
terramechanics
rubber-tracked vehicle
ground pressure
soil bin
simulation analysis
bearing capacity
pressure-sinkage
Spatial variability and forecast of soil water in the ultra-deep loess profile across a south-north transect of the Chinese Loess Plateau
期刊论文
OAI收割
HYDROLOGICAL PROCESSES, 2024, 卷号: 38, 期号: 3, 页码: 12
作者:
Gong, Tiexiong
;
Zhu, Yuanjun
;
Qiao, Jiangbo
;
Shao, Ming'an
  |  
收藏
  |  
浏览/下载:10/0
  |  
提交时间:2024/04/19
artificial neural networks
Chinese Loess Plateau
soil water
ultra-deep loess profile
Patterns and drivers of seasonal water sources for artificial sand-fixing plants in the northeastern Mu Us sandy land, Northwest China
期刊论文
OAI收割
PEDOSPHERE, 2024, 卷号: 34, 期号: 1, 页码: 63-77
作者:
Pei, Yanwu
;
Huang, Laiming
;
Shao, Mingan
;
Wang, Jiao
;
Zhang, Yinglong
  |  
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2024/04/29
desert ecosystem
MixSIAR model
plant water uptake
soil moisture
stable isotopes
vegetation restoration
water-use efficiency