地理研究 ›› 2015, Vol. 34 ›› Issue (9): 1619-1629.doi: 10.11821/dlyj201509002
收稿日期:
2015-02-22
修回日期:
2015-06-13
出版日期:
2015-09-15
发布日期:
2015-09-15
作者简介:
作者简介:陆文涛(1990- ),男,博士研究生,研究方向为环境规划与管理。E-mail:
基金资助:
Wentao LU(), Chao DAI, Huaicheng GUO(
)
Received:
2015-02-22
Revised:
2015-06-13
Online:
2015-09-15
Published:
2015-09-15
摘要:
以滇池流域为研究对象,基于1999年、2002年两期TM遥感解译数据和区域自然与社会经济数据,应用Dyna-CLUE模型模拟2008年滇池土地利用空间分布。结合滇池流域土地利用变化趋势与退耕还林政策,设定了三种土地需求情景,模拟2022年区域土地利用空间分布情况。研究结果表明:① 两期模拟结果Kappa系数分别为0.6814与0.7124,具有高度的一致性,表明Dyna-CLUE模型在滇池流域有较强的适用性。② 三种情景的模拟结果显示,至2022年流域内未利用地、耕地显著减少,建设用地、林地显著增加,水域与草地相对变化较小,因加大退耕还林政策实施力度,三种情景中,位于官渡区、呈贡区、嵩明县及晋宁县的耕地与林地呈现不同的变化情况。③ 滇池流域建设用地扩张,增加了滇池非点源污染负荷。不合理的土地利用布局,将会恶化滇池水质,加剧水环境压力。研究结果可为未来滇池流域土地利用合理规划与非点源污染控制提供参考依据和决策支持。
陆文涛, 代超, 郭怀成. 基于Dyna-CLUE模型的滇池流域土地利用情景设计与模拟[J]. 地理研究, 2015, 34(9): 1619-1629.
Wentao LU, Chao DAI, Huaicheng GUO. Land use scenario design and simulation based on Dyna-CLUE model in Dianchi Lake Watershed[J]. GEOGRAPHICAL RESEARCH, 2015, 34(9): 1619-1629.
表3
滇池流域驱动因子回归结果"
驱动因子 | 1999-2008年各驱动因子回归系数 | |||||
---|---|---|---|---|---|---|
水域 | 建设用地 | 耕地 | 林地 | 草地 | 未利用地 | |
常数项 | 4.47977 | 3.95347 | 11.61447 | -11.10474 | -7.77952 | -3.09047 |
高程 | -0.00434 | - | -0.00573 | 0.00480 | 0.00241 | - |
坡向 | 0.00079 | -0.00075 | 0.00137 | -0.00142 | 0.00086 | -0.00132 |
坡度 | 0.00446 | - | -0.02127 | 0.02724 | - | -0.00432 |
到道路最近距离 | 0.00049 | -0.00016 | -0.00095 | 0.00095 | -0.00069 | - |
到水系最近距离 | -0.00023 | - | -0.00014 | 0.00015 | -0.00009 | 0.00002 |
到城镇与农村居住地最近距离 | - | -0.04901 | 0.00044 | 0.00165 | -0.00150 | -0.00147 |
人均GDP | -0.00241 | - | - | -0.00002 | 0.00003 | 0.00004 |
人口密度 | -0.00057 | 0.00016 | -0.00006 | -0.00044 | -0.00012 | -0.00006 |
城镇人口比例 | 1.45434 | - | -1.03177 | 1.71138 | 0.51266 | 0.18524 |
ROC检验 | 0.813 | 0.993 | 0.778 | 0.852 | 0.671 | 0.646 |
驱动因子 | 2002-2008年各驱动因子回归系数 | |||||
水域 | 建设用地 | 耕地 | 林地 | 草地 | 未利用地 | |
常数项 | 4.01579 | 16.78386 | 10.11585 | -13.06222 | -2.97532 | -4.10292 |
高程 | -0.00375 | - | -0.00501 | 0.00574 | 0.00024 | - |
坡向 | 0.00064 | - | 0.00108 | -0.00083 | -0.00135 | -0.00114 |
坡度 | 0.01834 | - | -0.02886 | 0.03475 | 0.00397 | -0.01157 |
到道路最近距离 | 0.00048 | - | -0.00095 | 0.00096 | -0.00062 | -0.00029 |
到水系最近距离 | -0.00013 | - | -0.00011 | 0.00013 | - | - |
到城镇与农村居住地最近距离 | -0.00300 | -0.27563 | 0.00016 | 0.00149 | -0.00010 | -0.00034 |
人均GDP | -0.00009 | - | 0.00004 | -0.00006 | -0.00004 | 0.00004 |
人口密度 | -0.00063 | - | -0.00015 | -0.00037 | -0.00006 | - |
城镇人口比例 | 1.68856 | - | -0.97453 | 1.77595 | - | 1.07686 |
ROC检验 | 0.819 | 1.000 | 0.782 | 0.875 | 0.615 | 0.669 |
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