ANFIS在土地利用变化模拟中的应用

土地利用变化在空间维和时间维上是一个渐进的、不确定的复杂过程,而模糊理论正是解决不确定性现象的一种合适的方法,所以尝试运用模糊推理理论对土地利用变化进行深入的探讨.以江苏省南通市崇川区为研究区,建立了基于自适应神经模糊推理系统(ANFIS)的土地利用变化模糊推理模型.通过利用ANFIS训练获得模型的隶属函数及参数.并运用该模型对研究区进行土地利用变化的模拟和预测.研究结果表明,通过利用ANFIS建立的模型,基本上可以模拟研究区复杂而不确定的土地利用变化过程,同时ANFIS可以有效地简化模糊推理模型结构,使得模型更具灵活性.因此,为土地利用变化模拟提供了另一种可行的解决思路.     

山西襄汾陶寺都邑形成的环境与文化背景

襄汾陶寺遗址是龙山时代重要的大型城址,具备早期城市和都城的特征。综合利用地理信息系统、剖面孢粉分析、野外地貌调查等方法,结合考古资料,从区域社会文化背景和环境背景的角度,探讨了陶寺都邑的形成原因。认为有四大因素主导其形成:全新世大暖期气候背景下区域文化的连续发展和陶寺文化的多样性促进了陶寺文化的繁荣;聚落群的发展有利于人口和资源的空间集聚,促进中心聚落的产生;陶寺城址地理条件优越,具备满足大量人口生存的食物和能源需求的生业基础;平坦且有浅沟的局地地形、丰富的建材、发达的手工业和交通便利等优越条件有利于大型城邑的发展。     

城市生态安全水平的物元评判模型研究

作为人口高度集聚的人工生态系统,城市生态系统的安全性更加具有脆弱性。该文选取了若干公认的反映城市生态安全水平指标,建立了类型识别的物元评判模型。应用于我国十大城市,得出以下结论:处于"较安全"的城市有南京市、深圳市、大连市;处于"临界安全"的城市有上海市、广州市、南昌市、合肥市;处于"不安全"的城市有天津市、武汉市。评价结果基本与实地相符,说明建立的物元评判模型是可行的。     

3DCM的几何与纹理数据一体化管理方法研究

建设三维城市模型(3DCM)首先需要建立场景所需的海量地形地物空间数据库,从而有效组织三维实体数据来满足大范围高精度场景实时绘制的要求.该文提出一种以三维空间实体为单位的基于关系数据库(RDBMS)的3DCM的几何与纹理数据一体化管理方法.采用Direct3D 9.O三维开发平台、C#编程语言实现了3DCM空间数据库模型管理系统.实验证明:该系统在效率、安全、网络多用户访问方面都优于传统基于文件的管理模式,满足了大范围3DCM海量模型数据管理与应用需求.     

考虑水文变异的黄河干流河道内生态需水研究

气候变化及人类活动导致水文变异,变异前后样本总体分布显著不同,即改变了当地生态系统的水文状况,打破生态平衡。本文使用滑动秩和检验(Mann-Whitney U检验) 分析水文变异,并对水文变异成因做了系统的分析。在此基础上,对变异前各月平均流量序列用线性矩法推求GEV分布参数,求出概率密度最大流量,并将其视为相应月河道内生态流量。本文用该法计算黄河干流7 站各月河道内生态流量,即得河道内生态需水情况。分析表明,考虑水文变异的河道内生态需水计算方法是可行的;水文变异后,黄河流域干流各水文站满足生态需水的频率大大降低,汛期降低幅度比非汛期大;黄河生态系统水环境恶化的主要原因是人类活动。     

极端干旱沙漠中无沙埋干扰时几种固沙植物栽植试验研究

沙埋干扰是沙漠地区乡土植物生存繁殖的必要条件。在塔克拉玛干沙漠腹地,无沙埋干扰地段大多是高矿化度地下水埋深较浅的地段,这些地段盐渍化较重。7a定点观测和试验表明,塔里木沙漠公路沿线丘间地栽植固沙植物逐渐死亡的主要因素不是沙层水分和沙层盐分,而是高矿化度地下水埋深太浅(0.8~1.0 m),即这类地段植物死亡的原因主要是由于植物长期吸收高矿化度地下水使得体内盐分积聚过多无法调节而造成的。因此,在干旱区高矿化度地下水埋深太浅的地段,无沙埋干扰时建立固沙植被应谨慎。     

鄂尔多斯盆地北部塔巴庙地区与地层挠曲变形有关的构造裂缝分布定量预测

塔巴庙地区位于鄂尔多斯盆地北部伊陕斜坡构造带上,构造平缓,一般认为不具备裂缝发育条件.然而大量岩心观察、薄片分析、物性测试、测井及试井资料证实,研究区上古生界发育区域性分布的构造裂缝系统和与地层局部挠曲变形有关的局部构造裂缝系统.本文重点介绍与低幅度地层挠曲变形有关的裂缝预测方法,以及主要勘探层裂缝发育部位、发育程度和裂缝系统产状等成果.研究表明,地层挠曲变形主要发生于燕山期构造运动,喜马拉雅期对地层有一定改造作用.构造裂缝对致密储层储集性能作用意义不大,但对储层渗透率的改善作用明显.      

Runoff reduction due to environmental changes in the Sanchuanhe river basin

Recently, runoff in many river basins in China has been decreasing. Therefore, the role that climate change and human activities are playing in this decrease is currently of interest. In this study, we evaluated an assessment method that was designed to quantitatively separate the effects of climate change and human activities on runoff in river basins. Specifically, we calibrated the SIMHYD rainfall runoff model using naturally recorded hydro-meteorologic data pertaining to the Sanchuanhe River basin and then determined the effects of climate change and human activities on runoff by comparing the estimated natural runoff that occurred during the period in which humans disturbed the basin to the runoff that occurred during the period prior to disturbance by humans. The results of this study revealed that the S1MHYD rainfall runoff model performs well for estimating monthly discharge. In addition, we found that absolute runoff reductions have increased in response to human activities and climate change, with average reductions of 70.1% and 29.9% in total runoff being caused by human activities and climate change, respectively. Taken together, the results of this study indicate that human activities are the primary cause of runoff reduction in the Sanchuanhe River basin.     

Possible effect of ENSO on annual sediment discharge of debris flows in the Jiangjia Ravine based on Morlet wavelet transforms

The multi-time-scale structures of an annual sediment discharge series of debris flow in the Jiangjia Ravine and the Southern Oscillation index are analysed using the method of Morlet wavelet transformations. The possible effects of E1 Nirio episodes on the annual sediment discharge are discussed by comparing the period variations of ENSO and the discharge. The results show that the annual sediment discharge series of debris flow is related to E1 Nifio episodes. Generally, the annual sediment discharge of debris flow is less than usual during an E1 Nifio episode and debris flow is less active. On the contrary, the annual sediment discharge of debris flows is greater than usual during a La Nifia episode and debris flows are more frequent. There is a relationship between the annual sediment discharges of debris flow in the Jiangjia Ravine and the summer Southern Oscillation index, with both having quasi-periodic variations of 2 and 5-6 years.