Improved Combination Weighted Prediction Model of Aquifer Water Abundance Based on a Cloud Model-Reference-Cited by-同舟云学术

Improved Combination Weighted Prediction Model of Aquifer Water Abundance Based on a Cloud Model

Published:2022-09-29 Issue:40 Volume:7 Page:35840-35850
ISSN:2470-1343
Container-title:ACS Omega
language:en
Short-container-title:ACS Omega

Author:

Cheng Wenju¹²,Dong Fangying¹²,Tang Ruqian¹²,Yin Huiyong¹²^ORCID,Shi Longqing¹²,Zhai Yutao³,Li Xin⁴

Affiliation:

1. College of Earth Science and Engineering, Shandong University of Science and Technology, Qingdao 266590, China

2. Shandong Provincial Key Laboratory of Depositional Mineralization & Sedimentary Mineral, Shandong University of Science and Technology, Qingdao 266590, China

3. Hebei Coal Research Institute Corporation Co., Ltd, Xingtai 054000, China

4. Ningxia Coal Science and Technology Research Institute Co., Ltd, Ningxia 750004, China

Funder

Natural Science Foundation of Shandong Province

Publisher

American Chemical Society (ACS)

Subject

General Chemical Engineering,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acsomega.2c04162

Reference39 articles.

1. Integrated variable weight model and improved DRASTIC model for groundwater vulnerability assessment in a shallow porous aquifer

2. Integrated decision-making model for groundwater potential evaluation in mining areas using the cusp catastrophe model and principal component analysis

3. Spatiotemporal variation and long-range correlation of groundwater depth in the Northeast China Plain and North China Plain from 2000∼2019

4. Quantitative evaluation and prediction of water inrush vulnerability from aquifers overlying coal seams in Donghuantuo Coal Mine, China

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