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Frontiers of Structural and Civil Engineering

ISSN 2095-2430

ISSN 2095-2449(Online)

CN 10-1023/X

Postal Subscription Code 80-968

2018 Impact Factor: 1.272

Front. Struct. Civ. Eng.    2022, Vol. 16 Issue (2) : 202-213    https://doi.org/10.1007/s11709-021-0795-8
RESEARCH ARTICLE
Classification and quantification of excavated soil and construction sludge: A case study in Wenzhou, China
Qimeng GUO1, Liangtong ZHAN1(), Yunyang SHEN2, Linbo WU1, Yunmin CHEN1
1. MOE Key Laboratory of Soft Soils and Geoenvironmental Engineering, Zhejiang University, Hangzhou 310058, China
2. College of Civil Engineering and Architecture, Zhejiang Sci-Tech University, Hangzhou 310018, China
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Abstract

With rapid urbanization in China, a large amount of excavated soil and construction sludge is being generated from geotechnical and underground engineering. For sustainable management of these construction wastes, it is essential to quantify their production first. The present study has attempted to classify the excavated soil and construction sludge according to their composition and geotechnical properties (particle size, water content, plasticity index). Based on these classifications, a new approach was proposed to quantify the production. The said approach was based on multi-source information, such as the urban topographic map, geological survey reports, urban master plan, and remote sensing images. A case study in Wenzhou city of China was also pursued to illustrate the validity of the newly developed approach. The research showed that in 2021–2025, the total excavated soils and construction sludge production in Wenzhou would reach 107.5 × 106 and 81.7 × 106 m3, respectively. Furthermore, the excavated soil was classified into the miscellaneous fill, crust clay, muddy clay and mud with silty sand. Likewise, the construction sludge was classified as liquid sludge and paste-like sludge. The classification and quantification can serve as guidance for disposal and recycling, thereby leading to high-level management of waste disposal.

Keywords excavated soil      construction sludge      geotechnical and underground engineering      production      classification     
Corresponding Author(s): Liangtong ZHAN   
About author:

Mingsheng Sun and Mingxiao Yang contributed equally to this work.

Just Accepted Date: 17 January 2022   Online First Date: 22 March 2022    Issue Date: 20 April 2022
 Cite this article:   
Qimeng GUO,Liangtong ZHAN,Yunyang SHEN, et al. Classification and quantification of excavated soil and construction sludge: A case study in Wenzhou, China[J]. Front. Struct. Civ. Eng., 2022, 16(2): 202-213.
 URL:  
https://academic.hep.com.cn/fsce/EN/10.1007/s11709-021-0795-8
https://academic.hep.com.cn/fsce/EN/Y2022/V16/I2/202
cityexcavated soilconstruction wastedemolition wastetotal
Beijing36595234182
Shanghai6276550 (283)896826
Guangzhou39025774479
Shenzhen12113404 (207)113913656
Hangzhou148303655 (3440)192020405
Chengdu33498674294645
Xi’an62902883556933
Changsha3709305 (305)5614575
Jinan35726966074875
Hohhot11905624622214
Handan6334760.6740.6
Tai’an347.908267.10497
Tab.1  Production of C&D waste in 12 typical cities in China (×104 tons)
Fig.1  Flowchart of research methodology in this study.
Fig.2  Six types of terrain in Wenzhou.
Fig.3  Typical geological profiles of six types of terrain. (a) Hill area; (b) plain area; (c) riverside area; (d) estuarine area; (e) reclamation area; (f) island area.
distributionthe proportions of different soil stratumsludge type
1-level basement2-level basement
riverside area①:②:④ = 0.25:0.16:0.59①:②:④ = 0.16:0.11:0.73liquid sludge
estuarine area①:②:③ = 0.32:0.14:0.54①:②:③ = 0.21:0.09:0.7
plain area①:⑤ = 0.44:0.56①:⑤ = 0.29:0.71
reclamation area①:②:④ = 0.18:0.25:0.57①:②:④ = 0.12:0.17:0.71
hill area①:②:③ = 0.22:0.18:0.6①:②:③ = 0.14:0.12:0.74paste-like sludge
island area①:⑥:⑦:③ = 0.32:0.11:0.25:0.32①:⑥:⑦:③ = 0.21:0.07:0.16:0.56
metro①:②:⑧ = 0.085:0.0525:0.8625liquid sludge
Tab.2  Proportion of different soil stratum and sludge type in each division
Fig.4  Area of construction land in Wenzhou (2021–2025).
divisionexcavated soilconstruction sludge
1-level basement2-level basement
Riverside area3 m3/m27.5 m3/m2(0.6–0.7) × the production of excavated soil
Plain area
Reclamation area
Hill areaIsland area(0.45–0.55) × the production of excavated soil
Estuarine area(1–1.1) × the production of excavated soil
metro30000 m3/km, 100000 m3/metro station100000 m3/metro station
Tab.3  Production of excavated soils and construction sludge of per unit area
districtblockconstruction characteristics
LuchengBinjiang business50% 1-level basement (low-rise, mid-rise), 50% 2-level basement (high-rise)
Tucun business100% 2-level basement (high-rise)
Tangshuihe River bank25% 1-level basement (low-rise, mid-rise), 75% 2-level basement (high-rise)
Tangshuihe village50% 1-level basement (low-rise, mid-rise), 50% 2-level basement (high-rise)
Central park50% no basement (grassland), 50% 2-level basement (high-rise)
OuhaiSanyang wetland1-level basement (low-rise, mid-rise)
High speed railway50% 1-level basement (low-rise, mid-rise), 50% 2-level basement (high-rise)
LongwanZhuangpupian70% 1-level basement (low-rise, mid-rise), 30% 2-level basement (high-rise)
metroroute length: 32.5 km, station number: 23
Tab.4  Basement type of different blocks in Wenzhou
districtblockexcavated soilconstruction sludge
LuchengTangshuihe River bank11.36.8
Shuangyu9.26.2
Binjiang business8.85.9
Central park2.11.3
Huanwuma1.61.1
total33.021.3
OuhaiHigh-speed railway15.07.5
Sanyang wetland6.03.6
West railway station5.02.5
Guoxi/Zhaixi village0.10.1
total26.113.7
LongwanZhenan science and technology city34.737.2
Zhuangpupian5.53.7
Eastern hub2.91.8
Oufei0.50.3
Luodongnan street0.40.2
total44.043.2
DongtouLingkun islet1.11.2
Metro3.32.3
total107.581.7
Tab.5  Production of excavated soils and construction sludge in the next five years (2021–2025) (× 106 m3)
Fig.5  Production of different types of excavated soils and construction sludge in Wenzhou (2021–2025).
typewater content (%)plasticity indexproportion of different particle sizes (%)
2–0.075 mm0.075–0.005 mm< 0.005 mm
excavated soil
 miscellaneous fill20–30coarse and fine grains are unevenly mixed
 crust clay38.222.256.2610.5233.22
 muddy clay63.722.853.17 6.6340.20
 mud with silty sand43.416.087.76 2.46 9.78
construction sludge
 liquid sludge> 200 6.4745.4948.04
 paste-like sludge~5044.5224.6630.82
Tab.6  Engineering properties of different types of excavated soils and construction sludge
1 N Zhang, H Duan, P Sun, J Li, J Zuo, R C Mao, G Liu, Y N Niu. Characterizing the generation and environmental impacts of subway-related excavated soil and rock in China. Journal of Cleaner Production, 2020, 248 : 119242
2 U.S The. Environmental Protection Agency. Characterization of Building-related Construction and Demolition Debris in the United States. Report No. EPA530-R-98-010. 1998
3 WRAP. Guidelines for Measuring and Reporting Construction, Demolition and Excavation Waste. 2010
4 T Katsumi. Soil excavation and reclamation in civil engineering: Environmental aspects. Soil Science and Plant Nutrition, 2015, 61(Suppl 1): 22–29
5 M Kamon, T Katsumi, H Imanishi. Utilization system of waste slurry from construction works. Bulletin of the Disaster Prevention Research Institute, 1993, 43( 4): 73–89
6 K Kupusamy, S Nagapan, A H Abdullah, S Kaliannan, H Maniam. Construction waste estimation analysis in residential projects of Malaysia. Engineering, Technology and Applied Science Research, 2019, 9( 5): 4842–4845
https://doi.org/10.48084/etasr.2986
7 L Qiao, D D Liu, X Yuan, Q Wang, Q Ma. Generation and prediction of construction and demolition waste using exponential smoothing method: A case study of Shandong province, China. Sustainability, 2020, 12( 12): 5094–5105
https://doi.org/10.3390/su12125094
8 W S Lu, J F Lou, C Webster, F Xue, Z K Bao, B Chi. Estimating construction waste generation in the Greater Bay Area, China using machine learning. Waste Management, 2021, 134( 10): 78–88
https://doi.org/10.1016/j.wasman.2021.08.012
9 K Cochran, T Townsend, D Reinhart, H Heck. Estimation of regional building-related C&D debris generation and composition: Case study for Florida, US. Waste Management, 2007, 27( 7): 921–931
https://doi.org/10.1016/j.wasman.2006.03.023
10 C Llatas. A model for quantifying construction waste in projects according to the European waste list. Waste Management, 2011, 31( 6): 1261–1276
https://doi.org/10.1016/j.wasman.2011.01.023
11 J Li, Z Ding, X Mi, J Wang. A model for estimating construction waste generation index for building project in China. Resources, Conservation and Recycling, 2013, 74( 5): 20–26
https://doi.org/10.1016/j.resconrec.2013.02.015
12 Z K Ding, R S Liu, Y F Wang, V W Tam, M X Ma. An agent-based model approach for urban demolition waste quantification and a management framework for stakeholders. Journal of Cleaner Production, 2020, 285( 2): 124897
13 S L Huang, W L Hsu. Materials flow analysis and emergy evaluation of Taipei’s urban construction. Landscape and Urban Planning, 2003, 63( 2): 61–74
https://doi.org/10.1016/S0169-2046(02)00152-4
14 L Rosado, S Niza, P Ferrão. A material flow accounting case study of the Lisbon metropolitan area using the urban metabolism analyst model. Journal of Industrial Ecology, 2014, 18( 1): 84–101
https://doi.org/10.1111/jiec.12083
15 D M Guo, L Z Huang. The state of the art of material flow analysis research based on construction and demolition waste recycling and disposal. Buildings, 2019, 9( 10): 207–217
https://doi.org/10.3390/buildings9100207
16 X F Gao, J Nakatani, Q Zhang, B J Huang, T Wang, Y Moriguchi. Dynamic material flow and stock analysis of residential buildings by integrating rural-urban land transition: A case of Shanghai. Journal of Cleaner Production, 2020, 253( 4): 119941
https://doi.org/10.1016/j.jclepro.2019.119941
17 H Wu, J Wang, H Duan, L Ouyang, W Huang, J Zuo. An innovative approach to managing demolition waste via GIS (geographic information system): A case study in Shenzhen city, China. Journal of Cleaner Production, 2016, 112 : 494–503
18 K Kataguiri, M Boscov, C E Teixeira, S C Angulo. Characterization flowchart for assessing the potential reuse of excavation soils in Sao Paulo city. Journal of Cleaner Production, 2019, 240 : 118215
19 M Kamon, T Katsumi, T Inui. Dehydration-solidification treatment and geotechnical utilization of waste sludge from construction works. Environmental Geotechnics, 1998, 603–608
20 M Kamon, S Inazumi, G Rajasekaran, T Katsumi. Evaluation of waste sludge compatibility for landfill cover application. Journal of the Japanese Geotechnical Society Soils & Foundation, 2002, 42( 4): 13–27
https://doi.org/10.3208/sandf.42.4_13
21 T Katsumi, M Kamon, T Inui. Japanese status on the use of waste and by-products in geotechnical applications. recycled materials in geotechnics. Sessions at ASCE Civil Engineering Conference & Exposition, 2005, 22–41
22 Ministry of Land Japanese. Ministerial Ordinance for Determining the Standards of Judgment Concerning the Use of Recycled Resources for Persons Engaged in Construction Business. 2001 (in Japanese)
23 M Mori, H Takahashi, A Ousaka, K Horii, I Kataoka, T Ishii, K Kotani. A proposal for a new recycling system for high-water content muds by using paper debris and polymer and strength property of recycled soils. Journal of the Mining and Materials Processing Institute of Japan, 2003, 119( 4): 155–160
24 H Takahashi. State-of-the-art and future problems of countermeasures for excavated soils discharged from excavation construction. Micro-Tunneling Technology, 2006, 20( 4): 3–8
25 J Yamazaki, H Takahashi, H Kanari, M Mori. An experimental study on production of planting soil from the viewpoint of soil physical properties. Journal of the Mining and Materials Processing Institute of Japan, 2008, 124( 12): 818–823
26 F Gulsen, T Inui, T Kato, A Takai, T Katsumi. Numerical investigation on utilization of natural contaminated soil in the embankments. In: Proceedings of the 8th International Congress on Environmental Geotechnics. Singapore: Springer, 2018, 466–473
27 S R Meda, S K Sharma, G D Tyagi. Utilization of waste sludge as a construction material—A review. Materials Today: Proceedings, 2021, 46( 9): 4195–4202
https://doi.org/10.1016/j.matpr.2021.02.762
28 O Murakami, T Masuda, O Hanada, T Tamura, S Kamao. Recycling and treatment of construction sludge. WIT Transactions on Ecology and the Environment, 2012, 155 : 1129–1138
https://doi.org/10.2495/SC120942
29 H Takahashi. Topical Themes in Energy and Resources. Tokyo: Springer, 2015, 177–194
30 S Magnusson, K Lundberg, B Svedberg, S Knutsson. Sustainable management of excavated soil and rock in urban areas—A literature review. Journal of Cleaner Production, 2015, 93( 4): 18–25
https://doi.org/10.1016/j.jclepro.2015.01.010
31 M Yamana, Y Tomizawa, T Fujiwara, K Mizuta, K Mizuno, T Inui, T Katsumi, M Kamon. Management of the Soils Discharged from Shield Tunnel Excavation. In: Proceedings of the 8th International Congress on Environmental Geotechnics. Singapore: Springer, 2018, 374–381
32 T Katsumi, T Inui, T Yasutaka, A Takai. Towards sustainable soil management—Reuse of excavated soils with natural contamination. In: Proceedings of the 8th International Congress on Environmental Geotechnics. Singapore: Springer, 2018, 99–118
33 Planning WenzhouResources Bureau Natural. Master Plan of Wenzhou City (2021–2025). 2017 (in Chinese)
34 Planning WenzhouResources Bureau Natural. Master Plan of Wenzhou City (2016–2020). 2012 (in Chinese)
35 Municipal People’s Government Wenzhou. Notice of the Office of Municipal People’s Government Wenzhou on Printing and Distributing the Three Year Action Plan for Major Construction Projects in Wenzhou (2016–2018). 2016 (in Chinese)
36 Municipal People’s Government Wenzhou. Short Term Construction Planning of Wenzhou Urban Rail Transit (2020–2026). 2019 (in Chinese)
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