Runoff change of Naoli River in Northeast China in 1955–2009 and its influencing factors

Runoff change and trend of the Naoli River Basin were studied through the time series analysis using the data from the hydrological and meteorological stations. Time series of hydrological data were from 1957 to 2009 for Bao′an station, from 1955 to 2009 for Baoqing station, from 1956 to 2009 for Caizuizi station and from 1978 to 2009 for Hongqiling station. The influences of climate change and human activities on runoff change were investigated, and the causes of hydrological regime change were revealed. The seasonal runoff distribution of the Naoli River was extremely uneven, and the annual change was great. Overall, the annual runoff showed a significant decreasing trend. The annual runoff of Bao′an, Baoqing, and Caizuizi stations in 2009 decreased by 64.1%, 76.3%, and 84.3%, respectively, compared with their beginning data recorded. The wet and dry years of the Naoli River have changed in the study period. The frequency of wet year occurrence decreased and lasted longer, whereas that of dry year occurrence increased. The frequency of dry year occurrence increased from 25.0%-27.8% to 83.9%-87.5%. The years before the 1970s were mostly wet, whereas those after the 1970s were mostly dry. Precipitation reduction and land use changes contributed to the decrease in annual runoff. Rising temperature and water project construction have also contributed important effects on the runoff change of the Naoli River.     

CSD和CDD结合下的最优遥感特征指数集构建及其在湿地信息提取中的应用

依托中分辨率成像光谱仪完整的数据序列和丰富的光谱信息,遥感特征指数在湿地生态系统发展变化的状态、趋向和规律研究方面发挥着不可替代的优势。传统类间距离判别的遥感特征指数选取中常存在过分依赖数据统计特征、入选指数与目标地类间生态学意义不明确、分类模型普适性差等局限性。基于此,本研究以河北省白洋淀湿地自然保护区为例,提出类可分离性距离判别（Class Separation Discrimination,CSD）与类间距离判别（Class Distance Discrimination,CDD）相结合的方法构建最优遥感特征指数集,并采用QUEST算法和马氏距离判别法构建分类决策树模型用于白洋淀湿地信息的提取研究,尝试克服传统类间距离指数选取中的不足。结果表明：运用CSD和CDD相结合的方法所选取的遥感特征指数在研究区湿地信息提取过程中的总体分类精度达到了91.32%,Kappa系数0.88,较传统的分类与回归树（Classification and Regression Tree,CART）方法,分类精度提高了1.67%;其次选取的最优指数与待提取的湿地类型均具有明确的生态学意义,如挺水植物在立地干湿交替条件下的潴育化过程决定了氧化铁比率IO可成功的将混分的耕地和挺水植物进一步分离;进一步将基于研究区2017年OLI影像构建的CSD和CDD相结合方法与CART方法的模型分别应用于研究区2019年OLI影像进行分类,基于CSD和CDD相结合方法构建的模型分类总体精度和Kappa系数分别为：86.97%、0.83,基于CART方法构建的模型无法满足分类需求,研究结果较好地证明了基于CSD和CDD相结合方法构建的模型在年际之间具有良好的适用性和稳定性。总之,CSD和CDD相结合的方法在不降低湿地信息提取精度的基础上,有效避免了传统遥感特征指数选择方法的局限性,提高了分类模型的普适性,是遥感特征指数选择算法和决策树相结合在湿地信息提取方面的有益尝试。     

Snow cover and snowmelt of an extensive High Arctic wetland: spatial and temporal seasonal patterns

Abstract

This study examined the end-of-winter snow storage, its distribution and the spatial and temporal melt patterns of a large, low gradient wetland at Polar Bear Pass, Bathurst Island, Nunavut, Canada. The project utilized a combination of field observations and a physically-based snowmelt model. Topography and wind were the major controls on snow distribution in the region, and snow was routinely scoured from the hilltop regions and deposited into hillslopes and valleys. Timing and duration of snowmelt at Polar Bear Pass were similar in 2008 and 2009. The snowmelt was initiated by an increase in air temperature and net radiation receipt. Inter-annual variability in spatial snowmelt patterns was evident at Polar Bear Pass and was attributed to a non-uniform snow cover distribution and local microclimate conditions. In situ field studies and modelling remain important in High Arctic regions for assessing wetland water budgets and runoff, in addition to model parameterization and validation of satellite imagery.

Editor Z.W. Kundzewicz

Citation Assini, J. and Young, K.L., 2012. Snow cover and snowmelt of an extensive High Arctic wetland: spatial and temporal seasonal patterns. Hydrological Sciences Journal, 57 (4), 738–755.     

水盐梯度下黄河三角洲湿地植被空间分异规律的定量分析

三角洲湿地植被的形成和分布同时受水深、土壤含盐量两个环境因子的作用。采用模糊数学排序方法分析了黄河三角洲湿地植被在水深、土壤含盐量两个环境梯度下的空间分异规律。结果表明,由TWINSPAN划分而得到的8个植被类型在模糊数学排序图中有各自的分布范围,界线明显。以穗状狐尾藻(Myriophyllum spica-tum)等水生植物为优势种的群落分布在排序图的左上部,为黄河三角洲湿地高水深、低盐分地区;以柽柳(Tam-arix chinensis)、翅碱蓬(Suaeda heteroptera)等典型盐生植物为优势种的群落分布在排序图的右下部,为黄河三角洲的低水深、高盐分地区;其他以芦苇(Phragmites australis)、荻(Triarrhena sacchariflora)、旱柳(Salix matsudana)等为优势种的群落分布在排序图的中部。利用Gini-Simpson指数,在模糊数学排序图中分析了植物物种多样性随水深、土壤含盐量梯度的空间变化,结果表明,高水深、低盐分和低水深、高盐分地区植物物种多样性均较低,而二者过渡区域植物物种多样性较高。     

高原湿地纳帕海自然保护区功能区分区初探

高原湿地保护区具有自己独特的生态结构特征,其功能区分区不应照搬传统的3级规划模式。本文通过对纳帕海湿地保护区功能区分区的特点、现状以及存在问题的分析,提出了适合纳帕海保护区湿地特征的分区模式。     

宁德市东湖湿地鸟类资源调查与保护

2003年3月-2004年4月,在宁德三都湾东湖湿地及其周边地区进行了10次湿地鸟类资源连续调查。调查表明:宁德东湖湿地生物多样性丰富,特别是湿地水禽种类繁多,数量巨大,发现鸟类12目26科80种,计20119只。宁德东湖湿地是福建省鸟类资源的重要分布区,是各类水禽的理想栖息地、越冬地和迁徙地,但存在因开发建设湖面缩小、市区大量生活污水污染水质、湖体淤积、陆地化过快等问题。为此,保护和恢复东湖湿地、建立湿地公园已是势在必行。     

艾比湖湿地调节气候生态服务价值评价

增湿调温的气候调节功能是湿地重要的生态功能。位于干旱区的湿地,其增湿调温功能尤为明显。湿地自由水面巨大的水汽蒸发及湿地茂密植被剧烈的水汽蒸腾,是其增湿调温、调节气候的主要物质基础。通过计算艾比湖湿地年水汽蒸发、蒸腾量,得出其每年调节气候的生态服务价值为97788.86×104元,占艾比湖湿地总生态服务价值的31.9%,位居研究区各项生态价值之首。结果表明,增湿调温的气候调节功能是处于极端干旱地理条件下的艾比湖湿地最重要的生态服务功能。     

江湖关系演变对洪湖湿地的生态影响与对策

从区域角度谈江(长江)湖(洪湖)关系的演变,将其划分为江湖一体、逐步阻隔和人为调控3个阶段。详细阐述了江湖关系演变给洪湖湿地带来的不利生态影响。主要表现在:加剧围垦、改变江湖水系格局、加重自然灾害以及土壤潜育化、沼泽化,破坏了江湖复合生态系统平衡。在此基础上,探讨了重建江湖联系的必要性和对策,为长江中游江湖关系治理及生态环境建设提供借鉴与决策支持。     

长江、黄河源区高寒湿地动态变化研究

长江、黄河源区是中国湿地分布面积最大的地区之一,近年来湿地面积减少、功能退化引起了严重的区域生态环境问题。为了定量分析湿地退化过程,利用1986年的TM和2000年的ETM 卫星遥感数据,在GIS软件支持下,用景观格局指数对长江、黄河源区15a来湿地的分布和变化进行了研究。结果表明,15a间,长江、黄河源区湿地面积减少了2744.77km2,平均减少率为1.2%/a。长江源湿地的退化比黄河源明显。湿地主要是由高寒沼泽草甸湿地向高寒草甸湿地、裸岩裸土地和高寒草原演变,以及由水域向滩地转变。各湿地景观类型斑块数增加,破碎度和分维数提高,优势度降低,湿地景观空间结构趋于复杂,景观异质性增加。15a间研究区湿地生态服务价值降低了37.86×108元。气候干暖化是造成源区湿地变化的主要因素,人类活动加剧了这一进程。     

衡水湖湿地底泥重金属污染及潜在生态风险评价

测定了衡水湖湿地20个采样点底泥中的7种重金属含量,并与环境背景值进行了比较。结果显示,衡水湖湿地底泥中的Hg含量普遍高于环境背景值,为衡水湖湿地底泥中主要富集的重金属元素,而Cr和Cd基本无富集。用地积累指数、某种重金属的潜在生态危害系数和多种重金属的潜在生态风险指数评价了各个采样点的污染程度和潜在生态风险。结果表明,Hg为高风险元素,底泥中重金属污染主要以Hg为主;衡水湖湖内大部分地区的潜在生态风险相对较低,综合潜在生态风险最高处为魏屯闸,然后依次为南关闸、106国道、大赵闸和湖内岛,核心区的综合潜在生态风险最小。另外,还对魏屯闸处的3个采样点的多种重金属的潜在生态风险指数值进行了讨论。