Monitoring geothermal springs and groundwater of Pir Panjal, Jammu and Kashmir, for radon contamination

Nazir, Salik; Simnani, Shakeel; Sahoo, Bijay Kumar; Mishra, Rosaline; Sharma, Tanu; Masood, Sajad

doi:10.1007/s10967-020-07451-8

Cited by 15 publications

(4 citation statements)

References 40 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In Table 3 , the present study for river water is compared with the reported results worldwide. The 222 Rn level was found very high in some river water, such as the 222 Rn level (60 Bq/L) in the Rajouri of Pir Panjal, Kashmir was high due to the mountainous area where many minerals were found in the soil of that region [ 36 ]. The study at Ekiti, Nigeria, claimed that the high 222 Rn level (42–88 Bq/L) was found in river water due to the local geology covered with migmatite, porphyritic granite, granite gneiss, and undifferentiated schist [ 3 ].…”

Section: Resultsmentioning

confidence: 99%

“…minerals were found in the soil of that region [36]. The study at Ekiti, Nigeria, claimed that the high 222 Rn level (42-88 Bq/L) was found in river water due to the local geology covered with migmatite, porphyritic granite, granite gneiss, and undifferentiated schist [3].…”

Section: Plos Onementioning

confidence: 99%

“…As illustrated in Table 4, the 222 Rn concentration in the ten tap water samples collected from Dhaka city varied from 0.56 ± 0.30 to 3.06 ± 0.60 Bq/L with an average of 1.54 ± 0.38 Bq/L. Edu, Nigeria 19.14 ± 3.98 [37] Punjab, India 3.37 ± 0.29 [1] Rajouri, Pir Panjal 60 [36] Kirkuk, Iraq 0.359 [40] Hemavathi River, India 0.67 [39] Transylvania, Romania 0.9-4.5 [41] Karnataka, India 0.16-1.79 [38] Dhaka, Bangladesh 0.68 ± 0.…”

Section: Rn In Tap Watermentioning

confidence: 99%

See 2 more Smart Citations

A study on measuring the 222Rn in the Buriganga River and tap water of the megacity Dhaka

Alam

Siraz

et al. 2023

PLoS ONE

View full text Add to dashboard Cite

Radon (222Rn), an inert gas, is considered a silent killer due to its carcinogenic characteristics. Dhaka city is situated on the banks of the Buriganga River, which is regarded as the lifeline of Dhaka city because it serves as a significant source of the city’s water supply for domestic and industrial purposes. Thirty water samples (10 tap water from Dhaka city and 20 surface samples from the Buriganga River) were collected and analyzed using a RAD H2O accessory for 222Rn concentration. The average 222Rn concentration in tap and river water was 1.54 ± 0.38 Bq/L and 0.68 ± 0.29 Bq/L, respectively. All the values were found below the maximum contamination limit (MCL) of 11.1 Bq/L set by the USEPA, the WHO-recommended safe limit of 100 Bq/L, and the UNSCEAR suggested range of 4–40 Bq/L. The mean values of the total annual effective doses due to inhalation and ingestion were calculated to be 9.77 μSv/y and 4.29 μSv/y for tap water and river water, respectively. Although all these values were well below the permissible limit of 100 μSv/y proposed by WHO, they cannot be neglected because of the hazardous nature of 222Rn, especially considering their entry to the human body via inhalation and ingestion pathways. The obtained data may serve as a reference for future 222Rn-related works.

show abstract

Section: Resultsmentioning

confidence: 99%

Section: Plos Onementioning

confidence: 99%

Section: Rn In Tap Watermentioning

confidence: 99%

See 1 more Smart Citation

A study on measuring the 222Rn in the Buriganga River and tap water of the megacity Dhaka

Alam

Siraz

et al. 2023

PLoS ONE

View full text Add to dashboard Cite

show abstract

“…The Atal Tunnel (9.02 km), formerly known as the Rohtang Tunnel, is a remarkable engineering feat located on the Tibetan Plateau. It was built below the Rohtang Pass, holding the distinction of being the world's longest highway tunnel at high altitude [7,8] (Figure 1). According to previous reports, this tunnel took about 10 years to complete, and restricted by the topographic elevation and geomorphology, it passes through a mountain-canyon area; some parts are located in a fault fracture zone with high water pressure involving the inrush of karst water and mud, meaning that it faces a series of geological disasters [9,10].…”

Section: Introductionmentioning

confidence: 99%

Geological Disaster Susceptibility Evaluation Using Machine Learning: A Case Study of the Atal Tunnel in Tibetan Plateau

Bian,

Chen,

Liu

et al. 2024

Sustainability

View full text Add to dashboard Cite

Tunnels serve as vital arteries in the realm of transportation and infrastructure, facilitating the seamless flow of movement across challenging terrains. With the increasing demand experienced by the traffic network on the Tibetan Plateau, deep-buried, lengthy tunnels have become one of the extremely important types of roads for local residents to pass through. Geological disaster susceptibility mapping by hybrid models has been proven to be an effective means to reduce the losses caused by disasters in a large area. However, there has been relatively little research conducted in tunnel areas with significant human activity. To explore the feasibility of conducting geological disaster susceptibility assessment in tunnel areas, we chose the Atal Tunnel as a study project; as a strategic passageway, this exemplifies the significant geological hurdles encountered on the Tibetan Plateau. Employing multi-source remote sensing data, we meticulously mapped the distribution of geological disasters and identified nine environmental and geological variables pivotal for susceptibility evaluation. We harnessed interpretable ensemble learning models to assess this susceptibility, comparing the efficacy of four distinct models: the weight of evidence method (WoE), the frequency ratio (FR), logistic regression (LR) and the support vector machine (SVM). The precision of our findings was rigorously tested using metrics such as the percentage of disaster area encompassed within each risk level, the Area Under the Curve (AUC) value, and the Receiver Operating Characteristic (ROC) curve, and all results were highly accurate. Notably, the WoE-LR model achieved superior performance, boasting an impressive accuracy rate of 90.7%. Through model interpretation, we discerned that the alignment of the road line is the most critical determinant in the evaluation of tunnel geological disaster susceptibility, underscoring the high precision of our model. The extension and successful application of this research in plateau areas hold profound implications for sustainable development. Moreover, the practical application of these research findings will provide a practical reference for the design and construction of projects in similar plateau areas, with positive outcomes that extend well beyond the immediate geographical area of the projects.

show abstract

Radiological risk assessment to the public due to the presence of radon in water of Barnala district, Punjab, India

Rani

Kansal

Singla

et al. 2021

Environ Geochem Health

View full text Add to dashboard Cite

Monitoring geothermal springs and groundwater of Pir Panjal, Jammu and Kashmir, for radon contamination

Cited by 15 publications

References 40 publications

A study on measuring the 222Rn in the Buriganga River and tap water of the megacity Dhaka

A study on measuring the 222Rn in the Buriganga River and tap water of the megacity Dhaka

Geological Disaster Susceptibility Evaluation Using Machine Learning: A Case Study of the Atal Tunnel in Tibetan Plateau

Radiological risk assessment to the public due to the presence of radon in water of Barnala district, Punjab, India

Contact Info

Product

Resources

About