| Literature DB >> 33324506 |
Alfonsus H Harianja1, Grace S Saragih1, Ridwan Fauzi1, M Yusup Hidayat1, Yunesfi Syofyan1, Ely Rahmy Tapriziah1, Sri Endah Kartiningsih1.
Abstract
BACKGROUND: Artisanal and small-scale gold mining (ASGM) is one of the largest sources of mercury (Hg) pollution in Indonesia. In West Java Province, ASGM is found in Bogor, Cianjur, and Sukabumi Regencies.Entities:
Keywords: ASGM; Sukabumi; mercury; perception; socioeconomic characteristics
Year: 2020 PMID: 33324506 PMCID: PMC7731497 DOI: 10.5696/2156-9614-10.28.201209
Source DB: PubMed Journal: J Health Pollut ISSN: 2156-9614
Socioeconomic Characteristics of Respondents
| Village | Sukarame | 29 | 40.85 |
| Cicadas | 31 | 43.66 | |
| Kertajaya | 11 | 15.49 | |
| Age (years) | 20–27 | 13 | 18.31 |
| 28–35 | 19 | 26.76 | |
| 36–43 | 14 | 19.72 | |
| 44–51 | 16 | 22.54 | |
| 52–59 | 5 | 7.04 | |
| 60–67 | 2 | 2.82 | |
| 68–75 | 2 | 2.82 | |
| Gender | Male | 38 | 53.52 |
| Female | 33 | 46.48 | |
| Number of family members | 1 | 1 | 1.41 |
| 2 | 6 | 8.45 | |
| 3 | 25 | 35.21 | |
| 4 | 25 | 35.21 | |
| 5 | 10 | 14.08 | |
| 6 | 4 | 5.63 | |
| Education level | Primary School | 50 | 70.42 |
| Junior High School | 6 | 8.45 | |
| Senior High School | 12 | 16.90 | |
| Bachelor/University | 1 | 1.41 | |
| N/A | 2 | 2.82 | |
| Primary occupation | Civil servant | 2 | 2.82 |
| Miner | 21 | 29.58 | |
| Farmer | 24 | 33.80 | |
| Private | 11 | 15.49 | |
| Housewife | 13 | 18.31 | |
| Income (IDR/month) = x | x≤ 500 000 (USD 34.03) | 14 | 19.72 |
| 500 000 (USD 34.03) < x ≤ 1000.000 (USD 68.09) | 22 | 30.99 | |
| 1 000 000 (USD 68.09) < x ≤ 2 000 000 (USD 136.17) | 21 | 29.58 | |
| 2 000 000 (USD 136.17) < x ≤ 3 000 000 (USD 204.18) | 8 | 11.27 | |
| x > 3 000 000 (USD 204.18) | 4 | 5.63 | |
| N/A | 2 | 2.82 | |
| Water source | River | 1 | 1.41 |
| Well | 22 | 30.99 | |
| Spring water | 37 | 52.11 | |
| Tap water | 11 | 15.49 | |
| Food sources | Traditional market | 28 | 39.44 |
| Home garden | 2 | 2.82 | |
| Kiosk | 41 | 57.75 | |
| Distance of respondents' housing to ball mill | ≤ 3 m | 34 | 47.89 |
| > 3–5 m | l7 | 23.94 | |
| > 5–10 m | 9 | 12.68 | |
| > 10–20 m | 4 | 5.63 | |
| > 20–50 m | 4 | 5.63 | |
| > 50 m | 3 | 4.23 | |
| The distance of respondents’ housing to mine | ≤ 1 km | 18 | 25.35 |
| > 1–2 km | 35 | 49.30 | |
| > 2–5 km | 14 | 19.72 | |
| > 5 km | 4 | 5.63 |
Abbreviation: USD, United Stated dollar
Figure 2Gold ball mill in Lebak Nangka sub-village, Sukarame sub-district, Sukabumi Regency. (a) Settlement (b) Ball mill facility
Respondents' Perception and Knowledge of Mercury Usage in ASGM
| The use of mercury is very harmful to the health of gold miners and the surrounding community | 66.76 | Agree | 46.91 |
| Mercury pollution in the air, soil, and water can interfere with human health and the environment | 68.17 | Agree | 48.15 |
| The handling of mercury pollution in the environment is crucial | 69.01 | Agree | 40.74 |
| The use of mercury in gold processing should be limited or reduced | 63.38 | Agree | 38.27 |
| Gold processing should be done without mercury | 62.25 | Agree | 50.62 |
| Ball mill gold ore processing should be located far away from settlements | 68.17 | Agree | 45.68 |
| The community should reduce mercury use | 58.87 | Unsure | 35.80 |
| Reducing mercury pollution should involve communities and local governments | 69.30 | Agree | 41.98 |
| Alternative sources of income replacing ASGM are available | 59.72 | Unsure | 44.44 |
| Alternative livelihood should provide higher incomes | 60.56 | Agree | 43.21 |
Remarks, range value for criteria: 0–20 (strongly disagree); 21–40 (disagree); 41–60 (unsure); 61–80 (agree); 81–100 (strongly agree).
Mercury Content in Hair Samples
| Males | 48 | 23–70 | 0.71–18 | 3.27±2.89 |
| Females | 33 | 22–60 | 1.5–24 | 5.91±4.69 |
| Children | 4 | 2.5 – 10 | 0.96–8.1 | 5.34 |
Figure 3Box plot representing the concentration of T-Hg in in hair of male and female respondents, outliers (o), and extremes (*).
Classification of Mercury Content in Hair
| <1 μg Hg/g hair | Normal | 2 | |
| 1-<5 μg Hg/g hair | Alert level | 28 | 16 |
| ≥5 μg Hg/g hair | High level | 8 | 17 |
*Human biomonitoring categories [27,33,34]
Multiple Linear Regression Results
| Age (X1) | −0.082 (0.056) | 0.15 |
| Number of family members (X2) | −0.060 (0.251) | 0.81 |
| Education (X3) | −1.188 (0.459) | <0.01 |
| Income (X4) | 0.000 (0.000) | 0.27 |
| Length of stay (X5) | −0.008 (0.043) | 0.86 |
| Distance to mining site (X6) | −0.001 (0.000) | <0.01 |
| Distance to ball mill (X7) | 0.100 (0.009) | <0.01 |
| Knowledge (X8) | 0.063 (0.070) | 0.38 |