| 分选加工中稻米垩白自动检测算法 |
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| 引用本文： | 刘璎瑛,丁为民,李毅念,陈建伟,谢 琴.分选加工中稻米垩白自动检测算法[J].农业工程学报,2013,29(18):262-268. |
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| 作者姓名： | 刘璎瑛 丁为民 李毅念 陈建伟 谢 琴 |
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| 作者单位： | 浙江农林大学 经济管理学院,杭州 311300;浙江农林大学 经济管理学院,杭州 311300;浙江农林大学 经济管理学院,杭州 311300;浙江农林大学 经济管理学院,杭州 311300;浙江农林大学 经济管理学院,杭州 311300 |
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| 基金项目： | 国家自然科学基金项目（71073148,71273245,71203198）;教育部人文社会科学规划基金项目（11YJAZH065）;浙江省自然科学基金项目（LY12G03006,Y6110486）;浙江省人文社科重点研究基地重大招标项目及支撑子项目（RWSKZD01-2012ZB ,RWSKZD01-2012ZB1）;浙江省农民发展研究中心预研招标项目（XNM-Z201207）;杭州市哲学社会科学规划基金项目（B11YJ12） |
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| 摘 要： | 林地利用变化会对森林固碳总量产生一定的影响,林地利用过程碳汇效率可以从投入产出解释不同林地利用类型的固碳效应,以帮助实现林地利用结构最优时碳汇产出水平的最大化。该文基于区域的视角,通过选用数据包络分析方法（data envelopment analysis,DEA）的C2R-I模型,将不同类型的林地利用数量作为投入,将森林固碳总量作为最终产出,结合全面的历史统计资料查证与实地校验,对杭州市域林地利用过程碳汇效率进行了测度与实证研究。研究结果表明：杭州市域林地利用过程碳汇效率发展不平衡,各县市区之间差距较大,并且碳汇效率的空间分布与各县市区经济发展水平之间存在一定的反向关联性。而根据"土地利用、土地利用变化及林业（land use, land-use change and forestry,LULUCF）"指南和"复杂系统数据包络分析（complex system data envelopment analysis,CSDEA）"转化法则,提高不同林地利用类型的单位面积蓄积量,充分考虑本地区的城市化水平与森林自然度状况,将是影响区域林地利用过程碳汇效率优化的3个重要因素。文章最后给出了包含这3个影响因素的投入产出优化计量模型。模型计算结果表明,杭州市域"造林再造林"投入优化可增加蓄积量3 279.68 m3/a,"森林管理"投入优化可增加蓄积量2 9871.23 m3/a,"森林采伐"投入优化可增加蓄积量111 959.19 m3/a,"森林固碳"产出优化可增加固碳总量7.61 Tg/a。文章结论不仅对区域林地利用过程的碳汇效率研究具有理论贡献,而且可以从碳循环调控的角度为区域低碳经济发展的模式选择与发展战略提供参考。
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| 关 键 词： | 森林 数据包络分析方法 设计 林地利用过程 造林与再造林 森林固碳总量 碳汇效率 |
| 收稿时间： | 2013/3/25 0:00:00 |
| 修稿时间： | 8/6/2013 12:00:00 AM |
Study on rice chalkiness automatic detection algorithm for sorting processing |
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| Liu Yingying,Ding Weimin,Li Yinian,Chen Jianwei and Xie Qin.Study on rice chalkiness automatic detection algorithm for sorting processing[J].Transactions of the Chinese Society of Agricultural Engineering,2013,29(18):262-268. |
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| Authors: | Liu Yingying Ding Weimin Li Yinian Chen Jianwei and Xie Qin |
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| Institution: | Economic and Management School, Zhejiang Agricultural and Forestry University, Hangzhou 311300, China;Economic and Management School, Zhejiang Agricultural and Forestry University, Hangzhou 311300, China;Economic and Management School, Zhejiang Agricultural and Forestry University, Hangzhou 311300, China;Economic and Management School, Zhejiang Agricultural and Forestry University, Hangzhou 311300, China;Economic and Management School, Zhejiang Agricultural and Forestry University, Hangzhou 311300, China |
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| Abstract: | Abstract: Forestland use change will impact forest carbon sequestration. The carbon sequestration efficiency of forestland use can reflect the carbon sequestration effect of forestland use by input-output analysis, which can optimize the structure of forestland use and maximize its carbon sequestration value. In view of a regional perspective, in this paper we selected the C2R-I model based on data envelopment analysis (DEA), which adopts the different types of forestland use as the inputs and the total forest carbon sequestration as a final output. Combined with comprehensive historical statistics and field calibration, this paper analyzes the carbon sequestration efficiency of forestland use processes in the Hangzhou domain. The results are as follows: First, the development of carbon sequestration efficiency of forestland uses in the Hangzhou domain is uneven; there is a wide variation among different parts. Among the 8 urban counties in Hangzhou city, only Chunan county's carbon sequestration efficiency of forestland for DEA is always effective, but most of the county urban forestland uses exhibit a low carbon sequestration efficiency. There is a inversel relationship between the spatial distribution pattern of the carbon sequestration efficiency of forestland use process and the regional economic development level. Second, according to the "land use, land-use change, and forestry (LULUCF)" directory and the conversion rules of "complex system data envelopment analysis" (CSDEA), there are three important factors that affect the carbon sequestration efficiency optimization of regional forest land use structure: the volume of different forestland use types per unit area, the level of urbanization, and the forest naturalness status. This paper designed the input-output optimization model consisted of these three factors, and got the added amount of forest carbon sequestration after the forestland use processes optimization. The specific calculation results of the model show that Hangzhou city "afforestation and reforestation" optimization of investment can increase the volume by 3 279.68 m3/a; "forest management" optimization of investment can increase the volume by 29 871.23 m3/a; "forest harvesting" optimization of investment can increase the volume by 111 959.19 m3/a; and "forest carbon sequestration" output optimization can increase the carbon amount by 7.61 Tg/a. Third, in the optimal design, this paper assume no changes of forest resources and no progress of forest technology, because the relevant data can not be obtained in a short time, so the analysis process exhibits some defects that are difficult to overcome but that can be further improved in future research. However, the evaluation method provides a reference for carbon sequestration efficiency evaluation of forestland use process of the Hangzhou City domain, and the evaluation results provide a scientific basis for boosting low carbon development in different regions. |
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| Keywords: | forestry data envelopment analysis(DEA) design forestland use process afforestation and reforestation the total of forest carbon sequestration carbon sequestration efficiency |
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