Zobrazeno 1 - 10
of 64
pro vyhledávání: '"Jiutan Liu"'
Publikováno v:
Meikuang Anquan, Vol 55, Iss 7, Pp 188-197 (2024)
In order to gain insight into the hydrochemical characteristics and formation mechanism of high fluoride groundwater in Zhuanlongwan Coal Mine, we conducted a comprehensive analysis of 48 samples including quaternary groundwater (QGW), sandstone grou
Externí odkaz:
https://doaj.org/article/59d655bd904c493e99c088dbf7216c46
Autor:
Di Wu, Bo Li, Yuxing Li, Qingbin Li, Chen Sheng, Jiutan Liu, Min Wang, Yangyang Min, Jianguo Feng, Yuqi Zhang, Jieqing Yu
Publikováno v:
Water, Vol 16, Iss 17, p 2519 (2024)
Groundwater represents a critical resource for sustaining the livelihoods of both urban and rural populations, facilitating economic and social development, and preserving ecological equilibrium. This study leverages groundwater quality monitoring da
Externí odkaz:
https://doaj.org/article/2c859c24da0a437b85f243b1c54837cc
Publikováno v:
地质科技通报, Vol 41, Iss 5, Pp 264-272 (2022)
To determine the hydrochemical characteristics and ion sources of karst groundwater in the middle and upper reaches of the Dawen River basin, based on karst groundwater samples collected in dry and wet periods in 2018, hydrochemical data were analyze
Externí odkaz:
https://doaj.org/article/7d1357b159034570ba8e1f2bfe3c4fe4
Publikováno v:
Water, Vol 16, Iss 4, p 550 (2024)
To elucidate the hydrochemical characteristics, controlling factors, sources and mechanisms of strontium ion enrichment in groundwater in the northwest plain of Shandong Province, China, 88 groundwater samples were collected, including 51 shallow por
Externí odkaz:
https://doaj.org/article/cc8b806473de4a90afd1e4abcf5b0303
Publikováno v:
Water, Vol 16, Iss 3, p 429 (2024)
The evaluation of vulnerability is a crucial aspect in the sustainable development, utilization, and preservation of groundwater resources. This study utilizes a comprehensive approach, integrating systematic analysis of hydrogeological conditions an
Externí odkaz:
https://doaj.org/article/4dc8b8b95f2f4bfeaff6f4719e38dcf1
Publikováno v:
Ecological Indicators, Vol 149, Iss , Pp 110175- (2023)
Groundwater resources fulfill a key role in socioeconomic development and residential water use in the Dawen River Basin (DRB). This study sampled and tested three types of groundwater in the DRB, including pore groundwater (PGW), fissure groundwater
Externí odkaz:
https://doaj.org/article/517efadfef414491ae1b78949d3f9a1b
Autor:
Beibei Yan, Qianqian Wei, Xinfeng Li, Xiaoyu Song, Zongjun Gao, Jiutan Liu, Ruilin Zhang, Min Wang
Publikováno v:
Water, Vol 15, Iss 23, p 4091 (2023)
This study analyzed the sources of total metal elements using the positive matrix factorization (PMF) model and conducted human health risk assessment for adults and children using the health risk assessment model recommended by the United States Env
Externí odkaz:
https://doaj.org/article/cb32ddc2210a4c9b9816e99cbca6b8c5
Publikováno v:
Energies, Vol 16, Iss 22, p 7658 (2023)
Geothermal water (GW) resources are highly valued as clean, renewable energy sources. In this study, a comprehensive analysis of water chemistry and isotope data from 25 GW samples was conducted to gain insights into the hydrochemical characteristics
Externí odkaz:
https://doaj.org/article/e13ca04b3c1c4ed1a2439f86a96d3182
Publikováno v:
Agronomy, Vol 13, Iss 9, p 2238 (2023)
The purpose of this study is to evaluate the bio-accumulation of different soil-crop systems (SCSs) for heavy metals (HMs) and the geo-accumulation of different agricultural growing regions. The ecological risk (ER) assessment was conducted to unders
Externí odkaz:
https://doaj.org/article/e8262faed2b54758a40babe6592ef903
Autor:
Yuqi Zhang, Songtao Wang, Zongjun Gao, Hairui Zhang, Zihui Zhu, Bing Jiang, Jiutan Liu, Hongzhi Dong
Publikováno v:
Ecotoxicology and Environmental Safety, Vol 227, Iss , Pp 112926- (2021)
To explore the contamination of heavy metals in the Shi River Basin soil in China, a high density sampling of surface soil was conducted. In this study, an absolute principal component scores multiple linear regression model (APCS-MLR) was used to id
Externí odkaz:
https://doaj.org/article/78fed762e1c7434e86c6d4bd0f8bc63e