Multiple Regression Model for Predicting Cracks in Soil Amended with Pig Manure Biochar and Wood Biochar-Reference-Cited by-同舟云学术

Multiple Regression Model for Predicting Cracks in Soil Amended with Pig Manure Biochar and Wood Biochar

Published:2021-01 Issue:1 Volume:25 Page:04020061
ISSN:2153-5493
Container-title:Journal of Hazardous, Toxic, and Radioactive Waste
language:en
Short-container-title:J. Hazard. Toxic Radioact. Waste

Author:

Wani Insha¹,Kumar Himanshu²,Rangappa Sanjay Mavinkere³,Peng Lin⁴,Siengchin Suchart⁵,Kushvaha Vinod⁶^ORCID

Affiliation:

1. Research Scholar, Dept. of Civil Engineering, Indian Institute of Technology, Jammu, India 181221.

2. Ph.D. Scholar, Civil and Environmental Engineering, Hong Kong Univ. of Science and Technology, Clear Water Bay, Hong Kong SAR, China.

3. Research Scientist, Natural Composites Research Group Lab, King Mongkut’s Univ. of Technology North Bangkok, Bangkok, Thailand 10800.

4. Vice Dean and Professor, Dept. of Civil and Environmental Engineering, Shantou Univ., Shantou, Guangdong, China 515063.

5. President, Materials and Production Engineering, King Mongkut’s Univ. of Technology North Bangkok, Bangkok, Thailand 10800.

6. Assistant Professor, Dept. of Civil Engineering, Indian Institute of Technology, Jammu, India 181221 (corresponding author). ORCID: .

Publisher

American Society of Civil Engineers (ASCE)

Subject

Waste Management and Disposal,Geotechnical Engineering and Engineering Geology,Water Science and Technology,General Chemical Engineering,Environmental Chemistry,Environmental Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29HZ.2153-5515.0000561

Reference32 articles.

1. Effects of soil characteristics on moisture evaporation

2. Investigation of cracking and water availability of soil-biochar composite synthesized from invasive weed water hyacinth

3. Soil desiccation cracking and its characterization in vegetated soil: A perspective review

4. Prediction of slope stability using multiple linear regression (MLR) and artificial neural network (ANN)

5. Properties of biochar derived from wood and high-nutrient biomasses with the aim of agronomic and environmental benefits

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