反渗透装置处理炼油污水的优化运行

阐述了在土地勘测定界测量中,为了提高工作效率,减少在生产中出现的错误,利用VB2005结合.NET API对AutoCAD进行了二次开发。在土地分类标注文字中,把土地类别和面积分别加入到文字的扩展数据中,然后在面积统计中再提取文字中的扩展数据进行计算并输出至表格,实现了土地利用分类的标注和面积统计的自动化。     

The territorial and landscape impacts of photovoltaic systems: Definition of impacts and assessment of the glare risk

The installation and operation of systems that exploit solar energy through photovoltaic conversion, recently promoted in some European countries by new sell-back tariffs, is a relevant transformation of the territory for various reasons (land use, elimination of the existing vegetation, visual impact on the components of the landscape, microclimate change, glare from the reflection of the direct sunlight). The weak energy intensity of the solar source coupled with the low conversion efficiency of the photovoltaic cells, make the physical dimensions of such systems relevant and, with them, also the environmental, territorial and landscape impacts that basically depend on the physical extent of the system. If it is well known that an incentive to the exploitation of renewable sources is one of the features of the policy of land conservation, including the one of the protected areas, at the same time the concerns of local communities and governments about the environmental, territorial and landscape impacts of this technology are increasing rapidly.Given this picture, this work is intended to clarify the territorial impacts of the ground mounted photovoltaic systems. Later, the paper concentrates on a specific impact, which is the assessment of the risk of glare by reflection of direct sunlight from the surfaces of photovoltaic modules. The methodologies that can be used to assess this impact and the outcomes of an evaluation carried out for a 5000 m² PV system currently designed on a hilly territory in Italy are presented.     

A comparison of historical land-use change patterns and recommendations for flood plain developments in three delta regions in Southeast Asia

Historical land-cover changes in three delta regions in Southeast Asia are assessed by using selected Landsat images from 1990 to 2005. Potential inundation areas of the delta regions for different return periods are estimated by using digital elevation model data and extreme-value distribution of annual maximum river discharges. The results indicate significant changes of natural land cover within the potential inundation areas due to agricultural exploitation and industrialization. Implications for flood-mitigation policies are discussed. There is a clear need for sustainable land-use management strategies in all three areas.     

新疆吉木萨尔县基本农田整治项目经济效益分析

结合新疆吉木萨尔县基本农田整治项目区的实际情况,采用盈亏分析法对整治项目进行了经济效益分析,结果:整治后新增耕地12.70 hm~2,项目区的年总纯收入提高465.71万元,静态投资收益率达到37.58%,经济效益较显著。     

灌阳县新街乡土地整治项目土地平整设计

根据灌阳县新街乡土地整治项目的基本情况,介绍了土地平整思路、设计原则及要点,总结经验,指出土地平整中应注意的一些问题,为类似工程的设计提供参考。     

影像的土地覆被快速分类

精确的土地覆盖信息是进行碳循环、气候变化监测、土壤退化等相关科学研究的基础。随着云计算技术的不断成熟,一些高效算法与平台被不断提出,用来充分挖掘遥感数据所包含的海量信息。基于Google Earth Engine(GEE)云平台,利用随机森林监督分类法对1990、2000、2010、2017年的山西省土地覆被进行了分类。参考Google Earth高清影像选择的1580个样本点,对分类结果进行了验证;同时将分类结果与CNLUCC、GlobeLand30、FROM-GLC等现有土地覆被分类产品进行比较。验证和对比发现时间序列分类结果的总体精度达到86%~94%,比同期单时相分类总体精度提高了5%~10%;本文时间序列结果达到了CNLUCC、GlobeLand30、FROM-GLC等产品的分类精度。结果表明:①在快速准确土地覆被分类方面,时间序列影像与云平台结合,显示出时效性强、时间周期短、成本低等优势;②时间序列百分位数指标能有效地区分不同土地覆被类型的物候差别,在进行土地覆被分类方面显示出简单、易用、高效等特点。该方法对于深入研究大区域尺度的土地覆被变化过程具有重要的参考价值。     

融合不精准先验知识的Landsat 8 OLI影像深度学习分类方法

遥感影像解译是获得土地利用和土地覆盖（LULC）信息最为重要的途径之一,而自动化分类是提高LULC信息获取效率的关键。实际场景中包含大量不精准的先验知识,提取并融合其中的可用知识能进一步提高影像分类方法的精度、自动化率和规模应用能力。基于上述情况,提出了一种融合不精准先验知识的Landsat 8 OLI影像深度学习分类方法。该方法可自动规避先验知识中的不精准单元,在图斑约束空间内实现了分类样本的自动化区域选择和特征提取,并获得了高置信度知识,然后利用这些分类样本训练深度残差网络,从而实现大区域影像的精确分类。以常州市新北区为例进行实验,选用该区域2009年土地利用现状数据作为先验数据,2014年Landsat 8 OLI影像作为待分类影像。实验结果表明,所提方法可融合不精准先验知识,对大面积连片LULC信息分类精确,主要地类图斑界限准确,全图分类图斑精度达到了88.7%,Kappa系数为0.842。该方法能配合深度学习方法实现高精度Landsat 8 OLI遥感影像分类。     

加尔各答市地表温度与不透水面比例季相相关性研究

城市化的显著特征是自然地表不断被热容量大的不透水面取代,进而造成城市热岛效应和严重的城市生态问题.孟中印缅经济走廊是古代南方丝绸之路的重要路段和\"一带一路\"建设的重要战略通道,加尔各答市是孟中印缅经济走廊印度境内的重要节点城市,战略地位重要,对其城市化进程及与地表温度相关性研究对孟中印缅经济走廊印度段建设具有重要的借鉴...