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Frontiers of Environmental Science & Engineering

ISSN 2095-2201

ISSN 2095-221X(Online)

CN 10-1013/X

Postal Subscription Code 80-973

2018 Impact Factor: 3.883

Front.Environ.Sci.Eng.    0, Vol. Issue () : 710-718    https://doi.org/10.1007/s11783-013-0592-2
RESEARCH ARTICLE
Assessment of metals in dry-toilet collected matters from suburban areas of Ulaanbaatar, Mongolia, using biosolids quality guidelines and potential ecological risk index
Xuan LIU1,Zifu LI1,*(),Eric BOSC2,Heinz-Peter MANG1
1. School of Civil and Environmental Engineering, University of Science and Technology Beijing, Beijing 100083, China
2. Action Contre La Faim Mongolia, Diplomatic Compound 95, Ulaanbaatar 16092, Mongolia
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Abstract

Dry-toilet collected matter (DCM) from traditional dry-toilet pits are a potential health and ecological risk in suburban areas. In this study, the characteristics of metals in DCMs from suburban areas of Ulaanbaatar were surveyed. The results indicate that DCMs contain a high percentage of organic matter and nutrients, while heavy metals are at low levels, which shows good agricultural potential. The concentration ranges of Cr, Cu, Hg, Ni, Pb, and Zn were 11±5, 46±9, 0.08±0.05, 9±3, 17±9, and 338±86 mg·kg-1, respectively. The concentration of Cd was below 0.5 mg·kg-1, and a high positive relation was shown between chromium and nickel concentrations. The heavy metals in DCMs were safe for land application but Zn in DCMs was close to the effects range median (ERM), which is toxic in some cases, such as amphipod bioassays. Because it is mandatory to treat DCMs to reduce pathogens, in the case of heavy metal enrichment and agricultural reuse, composting or pyrolysis are better choices than incineration. Compared with global soil background values, the heavy metals in DCMs showed a low level of ecological risk, but a medium level when compared with Mongolian soil background values. The ecological risk of six heavy metals was in the descending order Hg>Cu>Zn>Pb>Ni>Cr and the contribution rate of Hg exceeded 60%.

Keywords heavy metals      suburban areas      dry-toilet      risk assessment     
Corresponding Author(s): Zifu LI   
Issue Date: 20 June 2014
 Cite this article:   
Xuan LIU,Zifu LI,Eric BOSC, et al. Assessment of metals in dry-toilet collected matters from suburban areas of Ulaanbaatar, Mongolia, using biosolids quality guidelines and potential ecological risk index[J]. Front.Environ.Sci.Eng., 0, (): 710-718.
 URL:  
https://academic.hep.com.cn/fese/EN/10.1007/s11783-013-0592-2
https://academic.hep.com.cn/fese/EN/Y0/V/I/710
Fig.1  Location of sampling sites
sampling sitesTS/%pHTVS/(g·kg-1)TN/(g·kg-1)Corg/(g·kg-1)C/NN-NH4/(g·kg-1)P2O5/(g·kg-1)K2O/(g·kg-1)CaO/(g·kg-1)MgO/(g·kg-1)Na2O/(g·kg-1)SO3/(g·kg-1)
130.3888959.84457.417.530.820.715.611.16.414.6
220.47.4854784275.514.941.621.522.914.311.915
322.3590673.54536.211.427.619.87.112.36.218.1
418.54.890378.94515.710.830.817.86.99.712.117.2
541.77.945428.522786.523.37.929.8113.78.6
651.2837319.41869.63.528.8646.914.73.510.2
744.18.456930.92859.26.157.75.336.126.25.718.1
820.86.782480.64125.121.74620.731.71511.313.1
953.78.72071010410.47.812.57.618.512.64.96.5
1040.67.454238.42717.132.435.69.930.116.94.510.6
1137.18.268142.83418829.95.236.615.367.8
1235.77.332129.51615.510.521.46.628.912.94.27.5
1338.77.661436.73078.47.932.54.532.717.44.210.8
1452.18.333620.21688.37.2219.817.513.798.4
max53.78.790680.645310.432.457.721.546.926.212.118.1
min18.54.8207101045.13.512.54.56.99.73.56.5
mean36.27.4160544.83027.4611.831.411.725.814.56.6811.8
Tab.1  Physicochemical properties in DCMs
sampling sitesCdCrCuHgNiPbZn
1<0.53580.0355600
2<0.52340.0336330
3<0.53560.0447360
4<0.56590.3267490
5<0.526420.051841270
6<0.515260.041158210
7<0.513440.11914430
8<0.528260.042215100
9<0.52500.06510430
10<0.527310.032214100
11<0.58420.13710350
12<0.56610.0458490
13<0.510820.16728380
14<0.511330.03811190
mean value±SD11±546±90.08±0.059±317±9338±86
min – max2–2826–820.03–0.163–225–58100–600
RFa)0.1860.48826.680.761.80.488260
BCG-Gb)0.3570300.06503590
mean / BCG-G0.1571.5331.3330.180.4863.756
BCG-Mc)0.03230.911.10.020715.314.744.1
mean / BCG-M0.3564.143.860.5881.157.66
ERLd)81340.1520.946.7150
ERMd)3702700.7151.6218410
ERHe)12001500174203002800
Tab.2  Metals concentrations in DCMs from UB (dry weight, mg·kg-1)
itemsCrCuHgNiPbZn
Cr1
Cu-0.510*1
Hg-0.1940.463*1
Ni0.981**-0.536*-0.2211
Pb0.471*-0.228-0.1080.3781
Zn-0.761**0.723**0.367-0.758**-0.3851
Tab.3  Pearson correlation of heavy metals concentration in DCMs
Fig.2  Heavy metal concentration in DCMs and related biologic effects limits (dry weight, mg·kg-1): (a) Cr concentration in DCMs and related biologic effects limits; (b) Cu concentration in DCMs and related biologic effects limits; (c) Hg concentration in DCMs and related biologic effects limits; (d) Ni concentration in DCMs and related biologic effects limits; (e) Pb concentration in DCMs and related biologic effects limits; (f) Zn concentration in DCMs and related biologic effects limits
Fig.3  Enrichment of Zn in the solid production from further treated DCMs, assumed all Zn remains in the solid product part after DCMs further treated
sampling sitesE1 (based on global background data)RI1E2(based on Mongolia background data)RI2
CrCuHgNiPbZnCrCuHgNiPbZn
10.226.158.01.61.713.61010.19.720.00.50.76.738
20.115.358.01.02.07.5840.15.720.00.30.93.731
30.225.277.31.32.48.21150.19.326.70.41.04.041
40.426.6618.42.02.411.16610.29.8213.30.61.05.4230
51.718.996.65.913.96.11430.77.033.31.85.93.052
61.011.777.33.619.74.81180.44.326.71.18.32.343
70.819.8212.62.94.89.82510.47.373.30.92.04.889
81.811.777.37.25.12.31050.84.326.72.22.11.137
90.122.5115.91.63.49.81530.18.340.00.51.44.855
101.714.058.07.24.82.3880.85.220.02.22.01.131
110.518.9251.22.33.47.92840.27.086.70.71.43.9100
120.427.577.31.62.711.11210.210.226.70.51.15.444
130.636.9309.22.39.58.63670.313.7106.70.74.04.2130
140.714.958.02.63.74.3840.35.520.00.81.62.130
min0.111.75811.72.3840.14.3200.30.71.130
max1.836.9618.47.219.713.66610.813.7213.32.28.36.7230
mean0.72820.71533.075.677.671910.3357.6652.80.9422.383.7567.9
Tab.4  Potential ecological risk factor (Er) and potential ecological risk index (RI) based on the Mongolia background data and global background data
Fig.4  Ecological risk factor form of each sampling sites, assume that a total of the ecological risk factors is one hundred, the ecological risk factors of Hg is more than 60
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