水位高程变化对湿地土壤微生物代谢功能的影响研究——以蚌湖为例

在淡水湖泊生态系统中,水位高程的变化会对整个生态系统产生重要的影响。本研究以鄱阳湖最具代表性的碟形湖——蚌湖为实验地点,研究了水位高程对于湖泊湿地土壤微生物代谢功能的影响。在实验中沿水位高程及植被带演替布设6个样地,利用Biolog-Eco技术探究不同水位高程样地土壤微生物群落代谢功能的多样性及分布规律。结果表明:随着样地水位高程的降低,土壤含水量逐渐升高,地表植被的覆盖率逐渐减少,土壤有机养分出现先减小后增大的趋势;而土壤微生物对碳源代谢活性随着高程的降低依次减弱,且优先利用的碳源种类和碳源利用率也有显著不同。通过dbRDA排序分析表明:土壤微生物群落功能多样性沿高程呈现区域性分布特征,相邻的两样地土壤微生物碳源代谢功能更为相近。影响湿地土壤微生物碳源代谢功能的主要因子为土壤含水量、土壤有机质含量、pH、NH_4-N和地表植被类型。本研究结果可为合理管理和保护鄱阳湖湿地生态系统提供科学的指导。     

最近10年鄱阳湖区土地利用格局的时空变化

利用1988和1998年4月份的TM遥感数据,采用最大似然法对翻阳湖区的土地利用进行机助分类。把研究区土地利用分成7种类型：林地、灌草坡、水体、湖滩洲地、耕地、城镇用地和裸地。采用空间叠加的方法得到研究区土地利用的转移短阵。结果显示,林地、水体、城镇的面积增加,灌草坡的面积减少。1998年耕地面积比1988年面积减少11．3％,湖滩洲地面积减少42．7％。对不同高程的土地利用变化分析表明,耕地、灌草坡的面积都有所减少;城镇的面积增加,林地的面积增加明显,尤其在丘陵山区。土地利用的变化受到自然和人文因子的双重影响。水体面积增加的主要因于是降水量的增大;林地、灌草坡的变化明显受到政策等因素的影响,湖滩洲地减少的主要原因是水位的升高。     

旋流塔板叶片仰角对湿钙法烟气脱硫过程的影响

实验研究了旋流塔板叶片仰角对钙基湿法烟气脱硫工艺的影响。结果表明 ,一般情况下 ,叶片仰角增大 ,脱硫率有所下降 ,塔的运行稳定性有所下降 ,结垢有所增加。因此 ,在将麻石水膜除尘器改造成旋流板塔脱硫除尘系统的过程中 ,增大叶片仰角的同时一定要考虑脱硫率的下降问题。     

基于DEM的分布式水文模型在清江流域的应用

基于清江上游水布垭区域的数字高程模型(DEM)数据,提取出了研究区域水系、勾画了研究区域边界,并计算了研究区域地形指数分布。采用基于数字高程模型(DEM)的分布式水文模型(DDRM)来进行降雨 径流模拟。在Nash Sutcliffe效率系数、洪峰相对误差、径流深相对误差等方面对基于DEM的分布式水文模型和三水源新安江模型进行了比较分析。结果表明：在径流深模拟方面新安江模型略好于DDRM,在洪峰流量及峰现时间方面DDRM略好于新安江模型,模拟的Nash Sutcliffe效率系数两者相当,总体上基于DEM的分布式水文模型和三水源新安江模型模拟效果相当。基于DEM的分布式水文模型与三水源新安江模型相比,其优点是模型结构简单、参数较少、物理过程明确,而且能够模拟流域土壤含水量和径流量的空间分布。     

2000—2018年哈尔里克山冰川高程遥感变化分析

冰川高程变化是冰川形态变化的重要特征之一,能为推算冰川体积变化及物质平衡提供基本参数.利用Sentinel-1A雷达数据,与SRTM数据进行差分干涉,得到2000—2018年哈尔里克山冰川高程变化结果.为进一步提高监测结果的可靠性,以裸地区域的高程变化量作为系统误差修正值,对冰川高程变化结果进行第一次优化.由于差分干涉...     

CRITICAL DATA REQUIREMENTS FOR PREDICTION OF EROSION AND SEDIMENTATION IN MOUNTAIN DRAINAGE BASINS1

ABSTRACT: The potential for understanding and, where necessary, managing sedimentation in humid mountain drainage basins increases with awareness of the conditions that lead to shallow landsliding, debris flows, and catastrophic sedimentation in stream channels. Progress in understanding has involved: improved recognition of source areas and the potential for downstream effects of slope failure; improved understanding of hydrological conditions required for failure; and a general theory of slope stability in shallow colluvium, including the role of plants, fires, timber harvest, and other disturbances. The theory acknowledges spatial variability in topographic and geotechnical terrain characteristics, the stochastic nature of climatic triggering events such as forest fires and rainstorms, and the integrating nature of channel networks in modulating the cumulative effects of transient processes within a basin. Anthropogenic fire regimes, road effects, and timber harvest can readily be included. Continued application and modification of the theory over an expanded geographical range require improvements in field data and their systematic storage in spatial databases. Improvements in digital topographic data for mountain basins, systematic network-wide surveys of channel conditions, and new technology for rapid documentation of soil depths in landslide source areas would enhance the prediction of mass failure, its consequences for channel habitat, and the basin-wide or regional distribution of hillslope and channel conditions. Computations of the probabilities of transient effects throughout basins could then form the basis of ecological risk analyses. Large-scale spatial data sets of a few critical variables are required before this next level of understanding can be developed and applied to sedimentation impacts on ecosystems and other resources.     

Modeling Stream Channel Characteristics From Drainage‐Enforced DEMs in Puget Sound,Washington, USA1

Abstract: Mapping stream channels and their geomorphic attributes is an important step in many watershed research and management projects. Often insufficient field data exist to map hydromorphologic attributes across entire drainage basins, necessitating the application of hydrologic modeling tools to digital elevation models (DEMs) via a geographic information system (GIS). In this article, we demonstrate methods for deriving synthetic stream networks via GIS across large and diverse basins using drainage‐enforced DEMs, along with techniques for estimating channel widths and gradient on the reach scale. The two‐step drainage enforcement method we used produced synthetic stream networks that displayed a high degree of positional accuracy relative to the input streams. The accuracies of our estimated channel parameters were assessed with field data, and predictions of bankfull width, wetted width and gradient were strongly correlated with measured values (r² = 0.92, r² = 0.95, r² = 0.88, respectively). Classification accuracies of binned channel attributes were also high. Our methodology allows for the relatively rapid mapping of stream channels and associated morphological attributes across large geographic areas. Although initially developed to provide salmon recovery planners with important salmon habitat information, we suggest these methodologies are relevant to a variety of research and management questions.     

WATERSHED CONFIGURATION AND GEOGRAPHIC INFORMATION SYSTEM PARAMETERIZATION FOR SPUR MODEL HYDROLOGIC SIMULATIONS1

ABSTRACT: A grid cell geographic information system (GIS) is used to parameterize SPUR, a quasi-physically based surface runoff model in which a watershed is configured as a set of stream segments and contributing areas. GIS analysis techniques produce various watershed configurations by progressive simplification of a stream network delineated from digital elevation models (DEM). We used three watershed configurations: ≥ 2nd, ≥ 4th, and ≥ 13th Shreve order networks, where the watershed contains 28, 15, and 1 channel segments with 66, 37, and 3 contributing areas, respectively. Watershed configuration controls simulated daily and monthly sums of runoff volumes. For the climatic and topographic setting in southeastern Arizona the ≥ 4th order configuration of the stream network and contributing areas produces results that are typically as good as the ≥ 2nd order network. However both are consistently better than the ≥ 13th order configuration. Due to the degree of parameterization in SPUR, model simulations cannot be significantly improved by increasing watershed configuration beyond the ≥ 4th order network. However, a range of Soil Conservation Service curve numbers derived from rainfall/runoff data can affect model simulations. Higher curve numbers yield better results for the ≥ 2nd order network while lower curve numbers yield better results for the ≥ 4th order network.     

AUTOMATED EXTRACTION OF DRAINAGE NETWORK AND WATERSHED DATA FROM DIGITAL ELEVATION MODELS1

ABSTRACT: This paper discusses a computer program which extracts a number of watershed and drainage network properties directly from digital elevation models (DEM) to assist in the rapid parameterization of hydrologic runoff models. The program integrates new and established algorithms to address problems inherent in the analysis low-relief terrain from raster DEMs similar to those distributed by the U.S. Geological Survey for 7.5-minute quadrangles. The program delineates the drainage network from a DEM, and determines the Strahler order, total and direct drainage area, length, slope, and upstream and downstream coordinates of each channel link. It also identifies the subwatershed of each channel source and of the left and right bank of each channel link, and assigns a unique number to each network node. The node numbers are used to associate each subwatershed with the channel link to which it drains, and can be used to control flow routing in cascade hydrologic models. Program output includes tabular data and raster maps of the drainage network and subwatersheds. The raster maps are intended for import to a Geographical Information System where they can be registered to other data layers and used as templates to extract additional network and subwatershed information.