A critical assessment of widely used techniques for nitrate source apportionment in arid and semi-arid regions

Ré, Viviana; Kammoun, S.; Sacchi, Elisa; Trabelsi, Rim; Zouari, Kamel; Matiatos, Ioannis; Allais, E.; Daniele, Salvatore

doi:10.1016/j.scitotenv.2021.145688

Cited by 27 publications

(5 citation statements)

References 63 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Groundwater is mainly acidic in the study area, where B species are predominantly H 3 BO 3 , or B(OH) 3 , which is relatively mobile and not subject to fractionation (Nikolenko et al., 2018; Widory et al., 2003). Although exchange or adsorption on clay may result in enrichment of 11 B accompanied by a decrease in B content in residual solution (Puig et al., 2017; Re et al., 2021), these patterns are not observed in our results (Figure S9 in Supporting Information ). Therefore, δ 11 B in combination with δ 15 N‐

{{\text{NO}}_{3}}^{-}

could be used to trace the sources (fertilizers, sewage, and manure) of

{{\text{NO}}_{3}}^{-}

in this study (Figure 5c).…”

Section: Resultscontrasting

confidence: 60%

Spatiotemporal Variation of Groundwater Nitrate Concentration Controlled by Groundwater Flow in a Large Basin: Evidence From Multi‐Isotopes (¹⁵N, ¹¹B, ¹⁸O, and ²H)

Mao,

Wang,

Liao

et al. 2024

Water Resources Research

View full text Add to dashboard Cite

Elevated and increasing concentration in groundwater affect groundwater supplies in China and elsewhere. However, how groundwater flow affects concentration in groundwater has yet to be fully understood. Herein, multi‐isotopes (15N, 11B, 18O, and 2H) and local indicators of spatial association (LISA) were used to elucidate the spatiotemporal variation, sources, and patterns of and its response to groundwater flow in Poyang Lake Basin where agriculture, industry and urban coexist. The location of hotspots identified by LISA tended to move from the middle to lower reaches of Ganfu Plain with groundwater flow, and hotspots area expanded in the upper reaches of Xin River Basin and northwest of the study area during the transition from dry season to wet season. Our results revealed that variations of regional concentration were controlled by groundwater recharge or flow mode (vertical or lateral), biogeochemical processes and sources (sewage and manure). In some areas with the single stratigraphic structure (unconfined aquifer), spatiotemporal variation of concentration was influenced by local pollution sources and vertical recharge of current precipitation (vertical flow). In some areas with binary structures (confined aquifer), groundwater was mainly recharged by lateral flow and concentration was mainly affected by mixing effect of upstream groundwater, reflecting human activities in the upper reaches rather than local human activities. In lakeside floodplain, groundwater was attenuated by the dissimilatory reduction to . This study provides a novel insight into groundwater flow controlling on spatiotemporal distribution of concentration in the regional scale.

show abstract

{{\text{NO}}_{3}}^{-}

could be used to trace the sources (fertilizers, sewage, and manure) of

{{\text{NO}}_{3}}^{-}

in this study (Figure 5c).…”

Section: Resultscontrasting

confidence: 60%

Spatiotemporal Variation of Groundwater Nitrate Concentration Controlled by Groundwater Flow in a Large Basin: Evidence From Multi‐Isotopes (¹⁵N, ¹¹B, ¹⁸O, and ²H)

Mao,

Wang,

Liao

et al. 2024

Water Resources Research

View full text Add to dashboard Cite

show abstract

“…In addition, clay layers with fluvial sand often yield water with a relatively high Na + content 74 . An excess in HCO 3 − may cause the release of Cl − into the solution by exchange reactions within the exchange sites 75 . The increased Cl − concentrations found may be attributed to a probable presence of evaporite rocks in the lithological units in the study area.…”

Section: Discussionmentioning

confidence: 99%

Integrated management of groundwater quantity, physicochemical properties, and microbial quality in West Nile delta using a new MATLAB code and geographic information system mapping

Shehata,

Zaid,

Al-Goul

et al. 2024

Sci Rep

View full text Add to dashboard Cite

Groundwater is an excellent alternative to freshwater for drinking, irrigation, and developing arid regions. Agricultural, commercial, industrial, residential, and municipal activities may affect groundwater quantity and quality. Therefore, we aimed to use advanced methods/techniques to monitor the piezometric levels and collect groundwater samples to test their physicochemical and biological characteristics. Our results using software programs showed two main types of groundwater: the most prevalent was the Na–Cl type, which accounts for 94% of the groundwater samples, whereas the Mg–Cl type was found in 6% of samples only. In general, the hydraulic gradient values, ranging from medium to low, could be attributed to the slow movement of groundwater. Salinity distribution in groundwater maps varied between 238 and 1350 mg L−1. Although lower salinity values were observed in northwestern wells, higher values were recorded in southern ones. The collected seventeen water samples exhibited brackish characteristics and were subjected to microbial growth monitoring. Sample WD12 had the lowest total bacterial count (TBC) of 4.8 ± 0.9 colony forming unit (CFU mg L−1), while WD14 had the highest TBC (7.5 ± 0.5 CFU mg L−1). None of the tested water samples, however, contained pathogenic microorganisms. In conclusion, the current simulation models for groundwater drawdown of the Quaternary aquifer system predict a considerable drawdown of water levels over the next 10, 20, and 30 years with the continuous development of the region.

show abstract

“…The overlap of isotope composition between different nitrate sources and the spatial variability in the isotope value of mixing water decrease the accuracy of these models. Some studies have successfully used these models to quantify nitrate sources in water environments (Xue et al, 2012;Matiatos, 2016;Re et al, 2021;Torres-Martínez et al, 2021;He et al, 2022;Yuan et al, 2023). More recent studies (e.g., Ji et al, 2022;Wu et al, 2023) have coupled these Bayesian mixing models with uncertainty analysis based on a probability statistical method introduced by Ji et al (2017).…”

Section: Nitrate Isotopes Nomentioning

confidence: 99%

Nitrate isotopes in catchment hydrology: Insights, ideas and implications for models

Matiatos,

Moeck,

Vystavna

et al. 2023

Journal of Hydrology

View full text Add to dashboard Cite

A critical assessment of widely used techniques for nitrate source apportionment in arid and semi-arid regions

Cited by 27 publications

References 63 publications

Spatiotemporal Variation of Groundwater Nitrate Concentration Controlled by Groundwater Flow in a Large Basin: Evidence From Multi‐Isotopes (¹⁵N, ¹¹B, ¹⁸O, and ²H)

Spatiotemporal Variation of Groundwater Nitrate Concentration Controlled by Groundwater Flow in a Large Basin: Evidence From Multi‐Isotopes (¹⁵N, ¹¹B, ¹⁸O, and ²H)

Integrated management of groundwater quantity, physicochemical properties, and microbial quality in West Nile delta using a new MATLAB code and geographic information system mapping

Nitrate isotopes in catchment hydrology: Insights, ideas and implications for models

Contact Info

Product

Resources

About

A critical assessment of widely used techniques for nitrate source apportionment in arid and semi-arid regions

Cited by 27 publications

References 63 publications

Spatiotemporal Variation of Groundwater Nitrate Concentration Controlled by Groundwater Flow in a Large Basin: Evidence From Multi‐Isotopes (15N, 11B, 18O, and 2H)

Spatiotemporal Variation of Groundwater Nitrate Concentration Controlled by Groundwater Flow in a Large Basin: Evidence From Multi‐Isotopes (15N, 11B, 18O, and 2H)

Integrated management of groundwater quantity, physicochemical properties, and microbial quality in West Nile delta using a new MATLAB code and geographic information system mapping

Nitrate isotopes in catchment hydrology: Insights, ideas and implications for models

Contact Info

Product

Resources

About

Spatiotemporal Variation of Groundwater Nitrate Concentration Controlled by Groundwater Flow in a Large Basin: Evidence From Multi‐Isotopes (¹⁵N, ¹¹B, ¹⁸O, and ²H)

Spatiotemporal Variation of Groundwater Nitrate Concentration Controlled by Groundwater Flow in a Large Basin: Evidence From Multi‐Isotopes (¹⁵N, ¹¹B, ¹⁸O, and ²H)