Modeling and quantification of agricultural waste recycling for agricultural industrial structure optimization in a novelty multi-village industrial complex
文献类型：期刊论文
| 作者 | Wang, Yongsheng1,2; Cui, Xiao1 |
| 刊名 | ENVIRONMENTAL IMPACT ASSESSMENT REVIEW
 |
| 出版日期 | 2024-05-01 |
| 卷号 | 106页码:107484 |
| 关键词 | Human-earth interaction Agricultural waste recycling Multi-village industrial complex Agro-industrial structure optimization Rural revitalization |
| DOI | 10.1016/j.eiar.2024.107484 |
| 产权排序 | 1 |
| 文献子类 | Article |
| 英文摘要 | The decoupling of crop planting, livestock breeding, and agro-processing has led to substantial agricultural waste discharge. Agricultural waste discharge not only poses a threat to the human and the natural environment but also leads to the abandonment of recyclable resources. Therefore, various regional practices of agro-industrial development and agricultural waste recycling have been explored in China. In this study, the generation mechanisms and utilization modes of agricultural waste were systematically summarized in the context of different human -earth interactions, and the conceptual models were established to estimate the generation, utilization, and discharge of agricultural waste for agro-processing structure optimization based on a case study. Results showed that increased agricultural waste with more complex composition and multiple diversity has led to the varied agricultural waste recycling modes in the levels of household, farm, enterprise, village, and county. In the novelty multi -village industrial complex, the dominant agricultural waste of corn straw and cattle manure had relatively lower recycling rates of 75.01% and 95.19%, respectively, while the lower generation quantity of poultry manure and agro-processing residue were totally recycled. The recycling self-sufficiency rate of the manure for corn planting was 48.71%, while the recycling self-sufficiency rates of straw, flour residue, vinegar residue, and oil residue for cattle breeding were 69.49%, 4.98%, 3.66%, and 2.20%, respectively. In order to achieve zero discharge and totally recycling self-sufficiency of agricultural waste, and higher environmental and economic benefits of livestock breeding, based on the per capita hectare of corn planting, the optimized agroindustrial structure involves reduced cattle breeding scale of 4.50 head, the expanded scales of flour, vinegar, and oil process with values of 7.50 t, 6 t, and 3 t, respectively, and completely converted chicken breeding to pigeon breeding with scale of 21,300 head. These findings suggest that the diverse agro-industrial development with rational structure is beneficial for maximization of agricultural waste recycling under the context of rural industrial revitalization. |
| WOS关键词 | CROP-LIVESTOCK SYSTEMS ; SUSTAINABILITY EVALUATION ; NITROGEN ; POLLUTION |
| WOS研究方向 | Environmental Sciences & Ecology |
| 语种 | 英语 |
| 出版者 | ELSEVIER SCIENCE INC |
| WOS记录号 | WOS:001203629700001 |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/204816]  |
| 专题 | 区域可持续发展分析与模拟院重点实验室_外文论文 |
| 作者单位 | 1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Reg Sustainable Dev Modeling, Beijing 100101, Peoples R China 2.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China 3.A11 Datun Rd, Beijing 100101, Peoples R China |
| 推荐引用方式 GB/T 7714 | Wang, Yongsheng,Cui, Xiao. Modeling and quantification of agricultural waste recycling for agricultural industrial structure optimization in a novelty multi-village industrial complex[J]. ENVIRONMENTAL IMPACT ASSESSMENT REVIEW,2024,106:107484. |
| APA | Wang, Yongsheng,&Cui, Xiao.(2024).Modeling and quantification of agricultural waste recycling for agricultural industrial structure optimization in a novelty multi-village industrial complex.ENVIRONMENTAL IMPACT ASSESSMENT REVIEW,106,107484. |
| MLA | Wang, Yongsheng,et al."Modeling and quantification of agricultural waste recycling for agricultural industrial structure optimization in a novelty multi-village industrial complex".ENVIRONMENTAL IMPACT ASSESSMENT REVIEW 106(2024):107484. |
入库方式： OAI收割
来源：地理科学与资源研究所
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