Hydrogeochemical Characteristics and Health Effects of Iodine in Groundwater in Wei River Basin

Duan, Lei; Wang, Wenke; Sun, Yuankui; Chun-chao, Zhang; Sun, Yingjie

doi:10.1007/s12403-020-00348-7

Cited by 16 publications

(6 citation statements)

References 60 publications

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“…It is a representative region in the western and northern parts of China. Located in a semi-humid to semi-arid warm temperature climate zone, the basin has a continental monsoon climate [61], and the elevation ranges from 324 m to 3911 m. The downstream region has annual precipitation ranges from 600~800 mm, while the annual precipitation at the upstream region ranges from 350~500 mm. The period from June to October accounts for 65~80% of the total annual precipitation.…”

Section: Research Area and Datamentioning

confidence: 99%

Impact of Input Filtering and Architecture Selection Strategies on GRU Runoff Forecasting: A Case Study in the Wei River Basin, Shaanxi, China

Wang

Liu

Yue

et al. 2020

Water

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A gated recurrent unit (GRU) network, which is a kind of artificial neural network (ANN), has been increasingly applied to runoff forecasting. However, knowledge about the impact of different input data filtering strategies and the implications of different architectures on the GRU runoff forecasting model’s performance is still insufficient. This study has selected the daily rainfall and runoff data from 2007 to 2014 in the Wei River basin in Shaanxi, China, and assessed six different scenarios to explore the patterns of that impact. In the scenarios, four manually-selected rainfall or runoff data combinations and principal component analysis (PCA) denoised input have been considered along with single directional and bi-directional GRU network architectures. The performance has been evaluated from the aspect of robustness to 48 various hypermeter combinations, also, optimized accuracy in one-day-ahead (T + 1) and two-day-ahead (T + 2) forecasting for the overall forecasting process and the flood peak forecasts. The results suggest that the rainfall data can enhance the robustness of the model, especially in T + 2 forecasting. Additionally, it slightly introduces noise and affects the optimized prediction accuracy in T + 1 forecasting, but significantly improves the accuracy in T + 2 forecasting. Though with relevance (R = 0.409~0.763, Grey correlation grade >0.99), the runoff data at the adjacent tributary has an adverse effect on the robustness, but can enhance the accuracy of the flood peak forecasts with a short lead time. The models with PCA denoised input has an equivalent, even better performance on the robustness and accuracy compared with the models with the well manually filtered data; though slightly reduces the time-step robustness, the bi-directional architecture can enhance the prediction accuracy. All the scenarios provide acceptable forecasting results (NSE of 0.927~0.951 for T + 1 forecasting and 0.745~0.836 for T + 2 forecasting) when the hyperparameters have already been optimized. Based on the results, recommendations have been provided for the construction of the GRU runoff forecasting model.

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Section: Research Area and Datamentioning

confidence: 99%

Impact of Input Filtering and Architecture Selection Strategies on GRU Runoff Forecasting: A Case Study in the Wei River Basin, Shaanxi, China

Wang

Liu

Yue

et al. 2020

Water

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“…The review paper also reviewed the effective and efficient measures for arsenicosis and fluorosis management including techniques for arsenic and fluoride removal Similar to fluoride, iodine is also an essential element for human health but becomes toxic in high intake dosage. In the research paper, Duan et al (2020), taking the Wei River basin as a case study area, investigated the groundwater iodine level and its spatial distribution, and analyzed the hydrochemical characteristics and factors affecting the iodine concentration in groundwater. They used a parabolic equation to describe the relationship of iodine content in groundwater and iodine-disease prevalence in different subsystems of the basin.…”

Section: Papers In This Special Issuementioning

confidence: 99%

To Make the Water Safer

2020

Expo Health

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Water quality affects human health and ecological biodiversity, as water ingestion is the primary exposure pathway of human health risk, and water is the most active natural element participating in the transformation of ecological system. In this paper, the background of editing this special issue was outlined, and the main contents and contributions of papers published in this special issue were introduced. Several research directions that are important to guarantee the water safety in the Yellow River basin were proposed. This special issue provides a platform for researchers to share their latest research results, which will not only be helpful for enhancing water protection and management in the Yellow River basin, but also benefit the international community in addressing similar issues.

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“…The hydrochemical composition of natural groundwater is governed by many factors including recharge water, rock/medium types, and hydrochemical processes along the flow paths (Helena et al, 2000;Venkatramanan et al, 2017). In natural conditions, some substances such as fluoride, arsenic, and iodine may release from the rocks/mediums into groundwater and result in geogenic poor quality groundwater (Liu et al, 2015;Zhang et al, 2018;Zhi et al, 2019;Wang Y. et al, 2020). Natural evaporation maybe significantly strong and lead to the salinity of groundwater, especially in an arid environment .…”

Section: Introductionmentioning

confidence: 99%

“…Ali et al (2019) obtained similar conclusions for the fluoride contaminants in phreatic groundwater, and also pointed out that the arid climatic conditions may potentially aggravate the geogenic fluoride contamination through promoting the evaporation process, etc. Other minor elements such as arsenic, iodine, and heavy metals in phreatic aquifers were also reported as being able to originate from geogenic sources and be regulated by external factors (Taylor, 1996;Arslan et al, 2017;Voutchkova et al, 2017;Zeng et al, 2018;Zhi et al, 2019;Duan et al, 2020). With the rapid development of industry, agriculture, and urbanization, groundwater contamination induced by human activities has become more and more severe in recent decades (Baalousha, 2011;Souid et al, 2017;Houéménou et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

Accessible Phreatic Groundwater Resources in the Central Shijiazhuang of North China Plain: Perspective From the Hydrogeochemical Constraints

Xiao

Hao

et al. 2021

Front. Environ. Sci.

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Phreatic groundwater plays a significant role in the water supply for human communities, especially in water scarce regions. This research was conducted to investigate the hydrochemistry and contamination of phreatic groundwater and their constraints on drinking water supply in a semiarid region of the North China Plain. A total of 49 phreatic groundwaters were collected for the hydrochemical analysis. The results suggested the phreatic groundwater had a slightly alkaline nature. Although the groundwater had a large variation of salinity with the TDS of 172–1,875 mg/l, most groundwater was moderately-hard fresh and of HCO3-Ca type. Contaminants of NO3−, NO2−, NH4+, Fe, F−, Zn, Mn were detected, but only NO3−, NO2−, NH4+, and Fe were found exceeding the drinking water desirable limits at some sites. The nitrogen contaminants were from anthropogenic inputs (urban sewage effluents and agricultural fertilizers) and mainly distributed in the central study area. The anthropogenic inputs of nitrogen contaminants also elevated groundwater salinity. Among the exceeding contaminants, only NO3− would pose a potential health risk to water consumers. The existing health risks by NO3− ranged from medium risk (HQ of 1–4) to high risk (hazard quotient > 4) for all populations, and most risks were categorized into the medium risk rank. Groundwater F− was also found with health risk at some sporadic sites although it did not exceed, only approached, the desirable limit. Its health risk was only to infants and categorized into the medium risk with the maximum HQ of 1.55. Most phreatic groundwater (83.67%) in the study area had relatively good quality and was suitable for domestic usage with the EWQI value below 150. Others belonged to the poor (EWQI of 150–200) and extremely poor (EWQI > 200) quality categories, and mainly distributed in the urban Gaocheng. Thus, it is recommended to pay attentions to the anthropogenic contaminants inputs into phreatic aquifers in human activities areas.

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Hydrogeochemical Characteristics and Health Effects of Iodine in Groundwater in Wei River Basin

Cited by 16 publications

References 60 publications

Impact of Input Filtering and Architecture Selection Strategies on GRU Runoff Forecasting: A Case Study in the Wei River Basin, Shaanxi, China

Impact of Input Filtering and Architecture Selection Strategies on GRU Runoff Forecasting: A Case Study in the Wei River Basin, Shaanxi, China

To Make the Water Safer

Accessible Phreatic Groundwater Resources in the Central Shijiazhuang of North China Plain: Perspective From the Hydrogeochemical Constraints

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