Identifying spatiotemporal pattern and trend prediction of land subsidence in Zhengzhou combining MT-InSAR, XGBoost and hydrogeological analysis. [PDF]
Zhou Z +6 more
europepmc +1 more source
A new GIS-based data mining technique using an adaptive neuro-fuzzy inference system (ANFIS) and k-fold cross-validation approach for land subsidence susceptibility mapping [PDF]
Omid Ghorbanzadeh +4 more
openalex +1 more source
ABSTRACT In this study, honey produced from Apocynum venetum L. was collected from BC (Bachu County), SY (Shaya County), and YL (Yuli County) in Xinjiang. The basic physical and chemical properties of the honey, and the contents of total phenols, total flavonoids, and amino acids were analyzed, and 16 types of polyphenols were quantified using triple ...
Na Zhang +5 more
wiley +1 more source
Uncovering the impacts of depleting aquifers: A remote sensing analysis of land subsidence in Iran. [PDF]
Haghshenas Haghighi M, Motagh M.
europepmc +1 more source
Land subsidence contributions to relative sea level rise at tide gauge Galveston Pier 21, Texas. [PDF]
Liu Y, Li J, Fasullo J, Galloway DL.
europepmc +1 more source
Groundwater Pumping Decisions and Land Subsidence in the Southern Chesapeake Bay Region of Virginia
Christopher M. Wade +4 more
openalex +2 more sources
ABSTRACT Climate change represents the biggest current challenge for us and for future generations. Its impact on agriculture is undeniable, considering the food security goal. Thus, the cropland footprint has been distinguished as a comprehensive index for assessing the impact of environmental changes in agricultural areas determined by the increased ...
Ibrahim Cutcu, Magdalena Radulescu
wiley +1 more source
Risk assessment of land subsidence based on GIS in the Yongqiao area, Suzhou City, China. [PDF]
Chai L +5 more
europepmc +1 more source
Experimental study of land subsidence in response to groundwater withdrawal and recharge in Changping District of Beijing. [PDF]
Cao Y, Wei YN, Fan W, Peng M, Bao L.
europepmc +1 more source
The Need for a Standardized Methodology for Quantitative Assessment of Natural and Anthropogenic Land Subsidence: The Agosta (Italy) Gas Field Case [PDF]
Valerio Comerci, E. Vittori
openalex +1 more source

