基于GIS的区域秸秆资源量预测与最优收集路径分析——以即墨市为例
文献类型：学位论文
| ; | |
| 作者 | 张展 |
| 学位类别 | 硕士 |
| 答辩日期 | 2009-05-28 |
| 授予单位 | 中国科学院广州能源研究所 |
| 授予地点 | 广州能源研究所 |
| 导师 | 王利生 |
| 关键词 | 生物质能源 秸秆资源量 预测模型 GIS 最优运输路径 即墨市 |
| 其他题名 | Application of GIS in the yield prediction and path optimization analysis of regional straw resource----A Case Study of Jimo |
| 中文摘要 | Bioenergy plays an important role in energy supply-demand, exploitation efficiency, environment protection and economic development. However, 3 bottlenecks currently exist in exploitation and utilization of Bioenergy, which are resources, technology and markets and resources are the basis of the other two. Biomass production, collection, transportation and storage are the hotspot issues in current resource research area. Modern science and technology such as GIS could direct and identify the development trends of straw power utilization, with the aid of analysis and evaluation of the demographic characteristics distribution and collection routes of biomass resources. Meanwhile, the work will save transportation costs, build scientific foundations, and eventually relieve the supply-demand conflicts of straw resources and protect ecological environment. Based on crop straw resources prediction in Jimo, this article applies Multiple Linear Regression model to the straw yield prediction, collection, transportation utilization and carbon cycle of power generation system. The yield of wheat and corn in 2007 are estimated and the straw yield of wheat and corn are further derived by ratio of grain to straw model. The result shows that the relative error between the real production and forecasted production is 0.74%. Then we also acquire the batch analysis approach of path optimization by utilizing ArcGIS model, Erdas, Envi and Python script function. Likewise we set 9km2 as the units’ collection area and make two different ways of transportation, i.e. inside or outside of the unit area. The proposed approach has been applied to the raw material collection, transportation and cost analysis of Jimo straw-fired power plant with 20MW productivity. The model is expected to provide a scientific approach for comprehensive utilization of straw resource on national-wide scale. This article uses Multiple Linear Regression model which is based on the Principal Component analysis to finish the crop yield prediction of the study area. The approach successfully overcomes the disadvantages of single Multiple Linear Regression model such as influence factor restriction and poor fitting result due to fewer samples. In addition that, the article acquires the batch analysis approach of path optimization by utilizing ArcGIS model and Python script function. This method can solve the defect in the ArcGIS model self-looping execution. The dynamic illustration and estimation method provide a spatial planning for the optimal collect path of straw collection. Meanwhile, the feasibility of any plant establishment can be proved by analyzing operating efficiency; material utilization; toxic emission and economic efficiency of the straw plant. |
| 语种 | 中文 |
| 公开日期 | 2011-07-14 ; 2011-07-15 |
| 页码 | 67 |
| 源URL | [http://ir.giec.ac.cn/handle/344007/5864]  |
| 专题 | 中国科学院广州能源研究所 |
| 推荐引用方式 GB/T 7714 | 张展. 基于GIS的区域秸秆资源量预测与最优收集路径分析——以即墨市为例, Application of GIS in the yield prediction and path optimization analysis of regional straw resource----A Case Study of Jimo[D]. 广州能源研究所. 中国科学院广州能源研究所. 2009. |
入库方式： OAI收割
来源：广州能源研究所
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