PDF Download

[1]LU Chang,LEI Guoping,ZHOU Hao,et al.Study on Optimization of Low Carbon-Based Land Use Structure in Zhaoyuan County of Songnen Plain[J].Research of Soil and Water Conservation,2016,23(05):310-315,321.

Copy

Study on Optimization of Low Carbon-Based Land Use Structure in Zhaoyuan County of Songnen Plain

Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume: 23 Number of periods: 2016 05 Page number: 310-315,321 Column: Public date: 2016-10-28

Title:: Study on Optimization of Low Carbon-Based Land Use Structure in Zhaoyuan County of Songnen Plain

Author(s):: LU Chang¹, LEI Guoping¹, ZHOU Hao¹, SONG Jiayi², SU Chengxin¹; 1. Institue of Land Management, Northeast University, Shenyang 110169, China;
2. School of Business Administration, Northeast University, Shenyang 110169, China

Keywords:: low carbon; land use; structure optimization; Songnen Plain; Zhaoyuan County

CLC:: F301.24

DOI:: -

Abstract:: Land use structure adjustment is one of the key ways to realize low carbon economic development model. In this study, we used the multi-objective linear programming method to establish two objective functions, the maximum economic benefits of land use and carbon emissions minimization of land use, to pick out the low carbon optimization scheme of land use structure optimization of Zhaoyuan County in 2020, and performed the comparison analysis. The results are as follows： according to 2020 low carbon optimization scheme, areas of farm land, construction land and unused land account for 65.60%, 7.24%, and 27.16% of the total land area respectively. Compared with the planning scheme, carbon emissions can be reduced by 26 200 t, the economic benefits increase 245 million Yuan. Compared with 2005, the per unit GDP carbon emission intensity decreased by 46%, the carbon reduction target had be realized effectively. In the optimization scheme, construction land is the main source of carbon emissions accounting for more than 98%; the most important carbon sinks are woodland and water, both of which the sum of carbon sequestration account for more than 89%.The results show that establishing the maximize economic benefits of land use and carbon emissions minimization as the objective function, and the low carbon optimization scheme can be very good in both economic and ecological benefits of land use structure of the city, reduce carbon emissions, and provide guidance for the future economic development of this region.

References:: [1] 余德贵,吴群.基于碳排放约束的土地利用结构优化模型研究及其应用[J].长江流域资源与环境,2011,20(8):911-917.
[2] 赵荣钦,黄贤金,钟太洋,等.区域土地利用结构的碳效应评估及低碳优化[J].农业工程学报,2013,29(17):220-229.
[3] 黄海.基于改进粒子群算法的低碳型土地利用结构优化:以重庆市为例[J].土壤通报,2014,45(2):303-306.
[4] 葛全胜,戴君虎,何凡能,等.过去300年中国土地利用、土地覆被变化与碳循环研究[J].中国科学:D辑,2008,38(2):197-210.
[5] 张秀梅,李升峰,黄贤金,等.江苏省1996年至2007年碳排放效应及时空格局分析[J].资源科学,2010,32(4):768-775.
[6] 肖红艳,袁兴中,李波,等.土地利用变化碳排放效应研究:以重庆市为例[J].重庆师范大学学报:自然科学版,2012,29(1):38-42.
[7] 赵荣钦,黄贤金,钟太洋,等.南京市不同土地利用方式的碳储量与碳通量[J].水土保持学报,2012,26(6):164-170.
[8] 张婷,蔡海生,钟根佐.南昌市土地利用碳排放效应及其低碳优化对策[J].江西农业大学学报:社会科学版,2013,12(2):170-177.
[9] 毋晓蕾,王婧,汪应宏,等.淅川县土地利用结构低碳优化研究[J].地域研究与开发,2013,32(2):160-165.
[10] 刘海猛,石培基,王录仓,等.低碳目标导向的兰州市土地利用结构优化研究[J].中国土地科学,2012,26(6):55-61.
[11] 张俊峰,张安录,董捷.武汉城市圈土地利用碳排放效应分析及因素分解研究[J].长江流域资源与环境,2014,23(5):595-602.
[12] 严金明.简论土地利用结构优化与模型设计[J].中国土地科学,2002,16(4):20-25.
[13] 王金达,刘景双,刘淑霞,等.松嫩平原黑土土壤有机碳库的估算及其影响因素[J].农业环境科学学报,2004,23(4):687-690.
[14] 汤洁,毛子龙,王晨野,等.基于碳平衡的区域土地利用结构优化:以吉林省通榆县为例[J].资源科学,2009,31(1):130-135.
[15] 陈溪,王子彦,匡文慧.土地利用对气候变化影响研究进展与图谱分析[J].地理科学进展,2011,30(7):930-937.
[16] 刘荣霞,薛安,韩鹏,等.土地利用结构优化方法述评[J].北京大学学报:自然科学版,2005,41(4):655-662.
[17] 孙丕苓,杨海娟.商洛市土地利用结构优化的情景分析[J].水土保持通报,2012,32(2):200-205.
[18] 李超,张风荣,宋乃平,等.土地利用结构优化的若干问题研究[J].地理与地理信息科学,2003,19(2),52-55.
[19] 赖力.中国土地利用的碳排放效应研究[D].南京:南京大学,2010.
[20] 方精云,郭兆迪,朴世龙,等.1981-2000年中国陆地植被碳汇的估算[J].中国科学:D辑,2007,37(6):804-812.
[21] 路昌,雷国平,张慧,等.黑龙江省哈尔滨市不同土地利用类型的碳排放效应分析[J].水土保持研究,2014,21(6):245-250.
[22] 吴有平,刘杰,何杰.多目标规划的LINGO求解法[J].湖南工业大学学报,2012,26(3):9-12.

Similar References:

Memo

Last Update: 1900-01-01