Predictive models of turbidity and water depth in the Doñana marshes using Landsat TM and ETM+ images

We have used Landsat-5 TM and Landsat-7 ETM+ images together with simultaneous ground-truth data at sample points in the Doñana marshes to predict water turbidity and depth from band reflectance using Generalized Additive Models. We have point samples for 12 different dates simultaneous with 7 Landsat-5 and 5 Landsat-7 overpasses. The best model for water turbidity in the marsh explained 38% of variance in ground-truth data and included as predictors band 3 (630–690 nm), band 5 (1550–1750 nm) and the ratio between bands 1 (450–520 nm) and 4 (760–900 nm). Water turbidity is easier to predict for water bodies like the Guadalquivir River and artificial ponds that are deep and not affected by bottom soil reflectance and aquatic vegetation. For the latter, a simple model using band 3 reflectance explains 78.6% of the variance. Water depth is easier to predict than turbidity. The best model for water depth in the marsh explains 78% of the variance and includes as predictors band 1, band 5, the ratio between band 2 (520–600 nm) and band 4, and bottom soil reflectance in band 4 in September, when the marsh is dry. The water turbidity and water depth models have been developed in order to reconstruct historical changes in Doñana wetlands during the last 30 years using the Landsat satellite images time series.     

Determination of Impact of Urbanization on Agricultural Land and Wetland Land Use in Balçovas’ Delta by Remote Sensing and GIS Technique

Because of their intense vegetation and the fact that they include areas of coastline, deltas situated in the vicinity of big cities are areas of greet attraction for people who wish to get away from in a crowded city. However, deltas, with their fertile soil and unique flora and fauna, need to be protected. In order for the use of such areas to be planned in a sustainable way by local authorities, there is a need for detailed data about these regions. In this study, the changes in land use of the Balçova Delta, which is to the immediate west of Turkey’s third largest city Izmir, from 1957 up to the present day, were investigated. In the study, using aerial photographs taken in 1957, 1976 and 1995 and an IKONOS satellite image from the year 2005, the natural and cultural characteristics of the region and changes in the coastline were determined spatially. Through this study, which aimed to reveal the characteristics of the areas of land already lost as well as the types of land use in the Balçova delta and to determine geographically the remaining areas in need of protection, local authorities were provided with the required data support. Balçova consists of flat and fertile wetland with mainly citrus-fruit orchards and flower-producing green houses. The marsh and lagoon system situated in the coastal areas of the delta provides a habitat for wild life, in particular birds. In the Balçova Delta, which provides feeding and resting for migratory birds, freshwater sources are of vital importance for fauna and flora. The settlement area, which in 1957 was 182 ha, increased 11-fold up to the year 2005 when it reached 2,141 ha. On the other hand, great losses were determined in farming land, olive groves, forest and in the marsh and lagoon system. This unsystematic and rapid urbanization occurring in the study region is not only causing the loss of important agricultural land and wetland, but also lasting water and soil pollution.     

湖泊富营养化遥感监测研究进展

通过对近年来国内外应用遥感技术对湖泊富营养化监测及评价的研究情况进行了广泛的收集和分析,简述了湖泊富营养化遥感监测的基本原理,总结了湖泊富营养化多光谱遥感与高光谱遥感成果,提出了今后的重点研究方向.     

Application of artificial neural network approach and remotely sensed imagery for regional eco-environmental quality evaluation

Eco-environment quality evaluation is an important research theme in environment management. In the present study, Fuzhou city in China was selected as a study area and a limited number of 222 sampling field sites were first investigated in situ with the help of a GPS device. Every sampling site was assessed by ecological experts and given an Eco-environment Background Value (EBV) based on a scoring and ranking system. The higher the EBV, the better the ecological environmental quality. Then, three types of eco-environmental attributes that are physically-based and easily-quantifiable at a grid level were extracted: (1) remote sensing derived attributes (vegetation index, wetness index, soil brightness index, surface land temperature index), (2) meteorological attributes (annual temperature and annual precipitation), and (3) terrain attribute (elevation). A Back Propagation (BP) Artificial Neural Network (ANN) model was proposed for the EBV validation and prediction. A three-layer BP ANN model was designed to automatically learn the internal relationship using a training set of known EBV and eco-environmental attributes, followed by the application of the model for predicting EBV values across the whole study area. It was found that the performance of the BP ANN model was satisfactory and capable of an overall prediction accuracy of 82.4%, with a Kappa coefficient of 0.801 in the validation. The evaluation results showed that the eco-environmental quality of Fuzhou city is considered as satisfactory. Through analyzing the spatial correlation between the eco-environmental quality and land uses, it was found that the best eco-environmental areas were related to forest lands, whereas the urban area had the relatively worst eco-environmental quality. Human activities are still considered as a major impact on the eco-environmental quality in this area.     

基于遥感资料的中国东部地区植被VOCs排放强度研究

本研究充分基于遥感资料获取中国东部地区叶面积指数和叶生物量的最新信息,并广泛调研了植被VOCs排放因子的最新研究进展,以2008—2010年的植被和气象的平均状态为背景,基于MEGAN排放模型,研究了中国东部地区植被VOCs(BVOCs)排放的时空分布特征.结果表明,我国东部地区BVOCs年排放总量为11.3×106t(以C计,下同),其中异戊二烯(ISOP)、单萜烯(MON)和其它VOC(OVOC)质量分数(下同),分别为44.9%、31.5%、23.6%.BVOCs排放呈现明显的季节变化特征,春、夏、秋、冬4个季节分别占全年的11.2%、71.8%、14.1%和3.0%.空间分布上,排放高值区主要分布于大小兴安岭、长白山脉、秦岭大巴山脉、东南丘陵、海南等植被茂密的区域,年均排放强度一般在1500～6000kg·km-·2a-1之间,福建、广东、江西、浙江、湖南、湖北等省份BVOCs的排放总量与平均排放强度均较高.本研究所得到的高时空分辨率的BVOCs排放清单,可以为区域环境与气候的数值模拟研究提供基础.     

基于随机森林模型的中国近地面NO2浓度估算

NH₃针对传统近地面NO₂浓度空间模拟过程中NO₂浓度与其影响要素之间关系的复杂非线性机制解释不充分的缺陷,本研究基于随机森林（RF）算法、融合多源地理要素开展了近地面NO₂浓度空间分布模拟研究.以卫星OMI对流层NO₂柱浓度数据和多源地理要素（道路交通、气象因子、土地利用/覆盖、地形高程、人口数量）为输入变量,近地面NO₂浓度为输出变量,利用RF算法构建近地面NO₂浓度反演模型.通过对比地面观测数据与传统土地利用回归模型（LUR）检验RF模型的有效性,基于所构建的最优RF模型在不同时间尺度下模拟分析中国大陆地区近地面NO₂浓度空间分布特征.结果表明：（1）集成多源地理要素的RF回归模型精度高,月均模型整体拟合度R² 0.85,RMSE 6.08μg/m³,交叉验证的R² 0.84,RMSE 6.33μg/m³,显著高于LUR模型（拟合R² 0.53,RMSE 10.48μg/m³,交叉验证的R² 0.53,RMSE 10.49μg/m³）; （2）地面NO₂浓度与预测变量呈现显著的复杂非线性与时间尺度依赖关系,卫星OMI柱浓度对模型影响程度最大,重要性指标IncMSE介于97.40%~116.54%,多源地理特征变量对RF模型同样具有不可忽视的贡献力（IncMSE在23.34%~47.53%之间）;（3）中国大陆地区NO₂污染程度较高,年均模拟浓度为24.67μg/m³,存在明显季节性空间差异,NO₂浓度冬季（31.85μg/m³） > 秋季（24.86μg/m³） > 春季（23.24μg/m³） > 夏季（18.75μg/m³）,呈现以华北平原为高值中心、向外围逐渐减轻的空间分布格局.较已有研究揭示对流层NO₂柱浓度宏观分布特征,本研究对近地面NO₂污染特征的研究成果对于合理制定污染防控策略、降低居民暴露健康损害具有指导意义.     

城市不同源雾霾颗粒物健康风险差异评估比较

通过研究不同来源霾颗粒物对大鼠气管上皮细胞（RTE cells）电阻抗变化和细胞自噬因子的影响,评价不同来源霾颗粒物对人体健康风险的差异性.分别将RTE暴露于从居民区（I）,高架交通源（Ⅱ）和化工园区（Ⅲ）采集的3种雾霾颗粒物中,统一暴露浓度和时间分别为100mg/L和24h.通过电子细胞基质阻抗检测（ECIS）细胞增长引起的阻抗变化和细胞电损伤恢复时间;通过蛋白免疫印迹测定p62,Atg5,Atg7,Beclin1,LC3B和mTOR蛋白表达量来分析比较不同来源雾霾颗粒物对RTE细胞自噬的影响.结果表明,与空白对照组相比,不同雾霾颗粒物处理组细胞电损伤恢复时间分别延长了34.6%,63.2%和78.0%;p62蛋白表达量差异显著性下降,Atg5,Atg7,Beclin1,LC3B蛋白表达量差异显著性上升.此外,mTOR相关蛋白表达量差异显著性下降,分别下降了4.38%,3.34%和2.36%;p-mTOR蛋白表达量与空白组相比,实验组I下降24.2%,实验组Ⅱ下降37.0%,实验组Ⅲ下降60.9%.由以上结果可知,不同来源雾霾颗粒物对RTE细胞均有一定的毒性损伤作用,能够减小细胞增长速度和削弱细胞修复能力,增强细胞自噬因子蛋白的表达,且化工园区采集的雾霾颗粒物毒性强于居民区和高架交通源.不同来源雾霾颗粒物的细胞毒性存在明显差异,基于细胞电损伤恢复时间的测定以及自噬相关蛋白的检测方法能够为雾霾颗粒物健康风险评价提供一种快速的生物学手段.     

聚苯乙烯微塑料对铜绿假单胞菌生物膜形成和结构变化的影响

微塑料在水环境中的污染情况日益严重,对水生生物的生长发育造成严重影响,而目前有关微塑料对生物膜形成影响机制的研究十分有限.为探究聚苯乙烯微塑料（PS-MPs）对铜绿假单胞菌生物膜形成发育的影响,选用不同浓度和粒径PS-MPs进行暴露试验,研究其对生物膜内生物量、氧化应激水平、生物膜结构和群体感应系统的影响.结果表明,PS-MPs诱导严重氧化应激反应并抑制生物膜形成和发育,粒径越小,产生的抑制作用越强烈,抑制效果表现为0.1 μm>0.5 μm≈1 μm>5 μm.PS-MPs通过与细胞接触造成严重物理损伤,形成的生物膜厚度显著减小且结构稳定性遭到破坏,膜内细菌通过分泌胞外聚合物来抵御PS-MPs的胁迫作用.PS-MPs进一步通过干扰铜绿假单胞菌群体感应系统,下调关键基因lasI、lasR、rhlI和rhlR的表达水平,抑制信号分子和相关毒力因子的合成与分泌,降低细菌对毒性作用的防御功能,最终影响生物膜形成和结构稳定性.     

Effects of Light Zenith Angle Variation on Spectral Responses of a Water Body’s Environmental Quality

The effect of light source zenith angle (θ_z) variation on the spectral reflectance measurement from sediment-laden water was studied in the laboratory using a spectroradiometer. Light source zenith angle in addition to sediment characteristics and concentration play a dominant role in affecting the reflectance characteristics of a suspension. With an increase in θ_z values, an increase in spectral reflectance is observed. The spectral reflectance characteristics of a water body also increase with the sediment concentration for all soil types and at all wavelengths. Empirical relationships between the spectral reflectance, suspended sediment concentration, and the light source zenith angle have been developed. Such a remote sensing technique for monitoring the concentration of the suspended sediment and their characteristics is a useful tool for economical estimation of a large water body’s quality related parameters vis-a-vis its environmental quality.Retd. Professor of Environmental Engineering & Pollution Control, Presently Residing at Makkhan Kutir, Bhargava Lane, Devpura, Haridwar-249401, India.Former Ph.D. student.     

洞庭湖区近50年土地利用/覆盖的变化研究

利用1978，1989，1998年的Landsat卫星遥感影像资料及20世纪50年代航测的地形图，研究了洞庭湖区近50年土地利用／覆盖及其景观结构的变化，土地利用／覆盖类型分为水体，湿地，农田，林地和建成区五类，各时期遥感影像的总体分类精度都在80％以上，运用ArcInfo和ArcView GIS软件，将不同时期的土地利用／覆盖格局在空间上清晰地显示出来，通过叠加4个不同时期的影像分类图，计算出各种土地利用／覆盖类型转变为其他土地利用／覆盖类型的比例，洞庭湖区50年来水体面积不断减少，减少量为1460km^2，其中1955年到1978年水面面积缩小了970。57km^2，分别为1978年到1989年和1989年到1998年缩小面积的2．23倍和1805倍，湿地面积逐渐增加，1998年湿地面积分别为1955，1978和1989年的1．46，1．41和1．09倍，农田的面积百分比从1955年的54．70％增加到1978年62．15％，又逐渐降低到1989年的51．88％和1998年的48．17％，林地的面积1978年比1955年减少了17％,，1989年比1978年增加了57％，1998年比1989年增加了11％，建成区的变化表明近50年来湖区城市化的进程，洞庭湖区土地利用／覆盖及其景观结构的变化是社会经济和自然因素综合作用的结果。