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本文以南水北调中线工程核心水源区淅川县为例,选取2004年TM、2014年GF1号影像等数据,解译获取了淅川县土地利用数据,对2004-2014年淅川县土地利用变化进行定量分析。通过选用区域生态环境质量模型,对研究期内淅川县土地利用变化的生态环境效应进行评估,并采用灰色关联法对导致淅川县生态环境质量变化的驱动因素进行分析。研究结果表明：① 2004-2014年,林地、建设用地和水域面积增加,耕地面积减少。在林地资源演化趋势上,有林地、疏林地、灌木林地和苗圃地与林地资源的整体演化格局一致,而宜林地和无立木林地、未成林造林地呈减少的趋势;② 在空间分布上,林地主要分布在海拔高、坡度较陡的北部山区,耕地和建设用地密集分布于海拔低、相对平缓的东南部地区;③ 2004年和2014年2期生态环境质量均在县域内表现出明显的空间差异,呈现出北高南低的分布趋势。研究期内淅川县区域生态环境质量指数从0.5443上升至0.6039,生态环境质量提高,其中宜林地和无立木林地转化为有林地、退耕还林对区域生态环境改善贡献最大;④ 局部地区生态环境呈负向发展,其中对森林资源采取掠夺式开采和粗放型管理、毁林开地对县域生态环境产生的负面影响最为深刻。⑤ 2004-2014年县域生态环境质量变化主要由政策和居民追求利益最大化的行为所驱动。 相似文献
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为查明汉石桥湿地南部核心区的富营养化现状和成因,于2019年3—9月对该区域水体的温度、pH值、溶解氧、透明度、光照强度、化学需氧量、高锰酸盐指数、总氮、总磷、叶绿素a等指标进行定期检测分析。采用综合营养状态指数法评价南部核心区富营养化程度,采用Pearson相关性分析叶绿素a与各项水质指标之间的关系,采用主成分分析法研究水体富营养化的驱动因子。结果表明:南部核心区处于轻度-中度富营养状态;叶绿素a与透明度、pH值、溶解氧呈显著负相关,与光照强度、水温、化学需氧量、总氮等呈显著正相关,总氮是藻类生长的限制因子;水体富营养化的主要驱动因子为光照强度、水温、叶绿素a,其次为总氮与总磷。提出再生水利用、水动力条件改善、水生生物调控等防治对策,为汉石桥湿地的水生态保护和修复工作提供科学依据。 相似文献
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Model simulation and scenario change analysis are the core contents of the future land-use change(LUC) study. In this paper, land use status data of the Three Gorges Reservoir Region(TGRR) in 1990 was used as base data. The relationship between driving factors and land-use change was analyzed by using binary logistic stepwise regression analysis, based on which land use in 2010 was simulated by CLUE-S model. After the inspection and determination of main parameters impacting on driving factors of land use in the TGRR, land use of this region in 2030 was simulated based on four scenarios, including natural growth, food security, migration-related construction and ecological conservation. The results were shown as follows:(1) The areas under ROC curves of land-use types(LUTs) were both greater than 0.8 under the analysis and inspection of binary logistic model. These LUTs include paddy field, dryland, woodland, grassland, construction land and water area. Therefore, it has a strong interpretation ability of driving factors on land use, which can be used in the estimation of land use probability distribution.(2) The Kappa coefficients, verified from the result of land-use simulation in 2010, were shown of paddy field 0.9, dryland 0.95, woodland 0.97, grassland 0.84, construction land 0.85 and water area 0.77. So the results of simulation could meet the needs of future simulation and prediction.(3) The results of multi-scenario simulation showed a spatial competitive relationship between different LUTs, and an influence on food security, migration-related construction and ecological conservation in the TGRR, including some land use actions such as the large-scale conversion from paddy field to dryland, the occupation on cultivated land, woodland and grassland for rapid expansion of construction land, the reclamation of woodland and grassland into cultivated land, returning steep sloping farmland back into woodland and grassland. Therefore, it is necessary to balance the needs of various aspects in land use optimization, to achieve the coordination between socio-economy and ecological environment. 相似文献
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