Efficient Delineation of Nested Depression Hierarchy in Digital Elevation Models for Hydrological Analysis Using Level‐Set Method

In terrain analysis and hydrological modeling, surface depressions (or sinks) in a digital elevation model (DEM) are commonly treated as artifacts and thus filled and removed to create a depressionless DEM. Various algorithms have been developed to identify and fill depressions in DEMs during the past decades. However, few studies have attempted to delineate and quantify the nested hierarchy of actual depressions, which can provide crucial information for characterizing surface hydrologic connectivity and simulating the fill‐merge‐spill hydrological process. In this paper, we present an innovative and efficient algorithm for delineating and quantifying nested depressions in DEMs using the level‐set method based on graph theory. The proposed level‐set method emulates water level decreasing from the spill point along the depression boundary to the lowest point at the bottom of a depression. By tracing the dynamic topological changes (i.e., depression splitting/merging) within a compound depression, the level‐set method can construct topological graphs and derive geometric properties of the nested depressions. The experimental results of two fine‐resolution Light Detection and Ranging‐derived DEMs show that the raster‐based level‐set algorithm is much more efficient (~150 times faster) than the vector‐based contour tree method. The proposed level‐set algorithm has great potential for being applied to large‐scale ecohydrological analysis and watershed modeling.     

Modeling Hydrological and Environmental Consequences of Climate Change and Urbanization in the Boise River Watershed,Idaho

The potential impacts driven by climate variability and urbanization in the Boise River Watershed (BRW), located in southwestern Idaho, are evaluated. The outcomes from Global Circulation Models (GCMs) and land use and land cover (LULC) analysis have been incorporated into a hydrological and environmental modeling framework to characterize how climate variability and urbanization can affect the local hydrology and environment at the BRW. The combined impacts of future climate and LULC change are also evaluated relative to the historical baseline conditions. For modeling exercises, Hydrological Simulation Program‐Fortran (HSPF) is used in parallel computing and statistical techniques, including spatial downscaling and bias correlation, are employed to evaluate climate consequences derived from GCMs as well. The implications of climate variability and land use change driven by urbanization are then observed to evaluate how these overall global challenges can affect water quantity and quality conditions at the BRW. The results show the combined impacts of both climate change and urbanization can lead to more seasonal variability of streamflow (from ?27.5% to 12.5%) and water quality, including sediment (from ?36.5% to 49.3%), nitrogen (from ?24% to 124.2%), and phosphorus (from ?13.3% to 21.2%) during summer and early fall over the next several decades.     

Habitat Improvements and Fish Community Response Associated with an Agricultural Two‐Stage Ditch in Mower County,Minnesota

Water quality and stream habitat in agricultural watersheds are under greater scrutiny as hydrologic pathways are altered to increase crop production. Ditches have been traditionally constructed to remove water from agricultural lands. Little attention has been placed on alternative ditch designs that are more stable and provide greater habitat diversity for wildlife and aquatic species. In 2009, 1.89 km of a conventional drainage ditch in Mower County, Minnesota, was converted to a two‐stage ditch (TSD) with small, adjacent floodplains to mimic a natural system. Cross section surveys, conducted pre‐ and post‐construction, generally indicate a stable channel with minor adjustments over time. Vegetation surveys showed differences in species composition and biomass between the slopes and the benches, with changes ongoing. Longitudinal surveys demonstrated a 12‐fold increase in depth variability. Fish habitat quality improved with well‐sorted gravel riffles and deeper pool habitat. The biological response to improved habitat quality was investigated using a Fish Index of Biological Integrity (FIBI). Our results show higher FIBI scores post‐construction with scores more similar to natural streams. In summary, the TSD demonstrated improvements in riparian and instream habitat quality and fish communities, which showed greater fish species richness, higher percentages of gravel spawning fish, and better FIBI scores. This type of management tool could benefit ditches in other regions where gradient and geology allow.     

Social identity and applicant attraction: Exploring the role of multiple levels of self

Applicant attraction is a critical objective of recruitment. Common predictor variables of applicant attraction are limited in that they do not provide a comprehensive understanding of the process that shapes the perceptions and beliefs of job applicants about the firms for which they aspire to work for. Because individuals have the inherent desire to expand and enhance their social identities (e.g., personal, relational, and collective identities), they are likely to be attracted to organizations that allow them to do so. Building on recent work on levels of self, our paper suggests that social identities mediate the relation between currently established predictor variables of applicant attraction (e.g., compensation, type of work, and organizational image) and important applicant attraction outcomes. Common predictor variables of applicant attraction can lead to the activation, evaluation, and identification processes described by social identity theory. A theoretical framework is presented that illustrates the mediating influence of social identity on the relations between common predictor variables and applicant attraction outcomes. This framework may lead to more effective recruitment strategies. Copyright © 2015 John Wiley & Sons, Ltd.     

高级氧化技术降解含氮除草剂的研究进展

目前,含氮除草剂已在全球范围内得到广泛使用,随着其不断的排入水体,会对水体生态环境和人体健康造成严重危害。介绍了几种主要的高级氧化技术降解含氮除草剂的机理,并综述了国内外利用高级氧化技术在降解含氮除草剂领域所取得的研究进展,为开发新的降解含氮除草剂技术提供参考。     

柠檬酸对核电站低放废液中110mAg吸附去除性能的影响

具有γ放射性的~(110m)Ag是核电站放射性废液中的主要核素之一,半衰期长,并且可以通过食物链在海洋生物中富集,研究其高效去除技术具有重要的意义.核电站化学去污过程加入的络合剂(如柠檬酸)对~(110m)Ag的化学形态和吸附性能有重要的影响.因此,本文首先模拟核电站水化学环境,研究了柠檬酸对~(110m)Ag化学形态的影响规律,其次研究了不同形态的~(110m)Ag物种在几种优选材料上的吸附性能.结果表明,由于核电站放射性废液的来源不同,柠檬酸与~(110m)Ag同时形成离子态络合物和~(110m)Ag0/柠檬酸纳米金属复合物;采用过氧化氢与紫外线联合高级氧化的方法能够破坏柠檬酸络合离子及~(110m)Ag0/柠檬酸复合物结构,形成单独的离子态~(110m)Ag+,从而有效地提高了~(110m)Ag物种的吸附去除性能.     

聚糖原菌富集实验及其内源过程探究

细胞衰减是微生物内源过程的一个重要组成部分,可分为由细胞死亡引起的数量衰减和由细胞活性降低引起的活性衰减两部分.通过挥发性脂肪酸（VFA）吸收速率(VFAUR)测定、荧光原位杂交技术（FISH）以及LIVE/DEAD细胞染色技术,研究了富集聚糖原菌（GAOs）在序批式反应器（SBR）系统中好氧环境下的衰减特征.结果表明,当T=30℃、进料中m(COD)∶m(P)=100时,SBR系统中GAOs富集比例达94%.测定和计算表明,SBR富集系统中GAOs衰减速率和死亡速率分别为0.132 d^-1和0.034 d^-1,其数量衰减和活性衰减占其细胞总衰减比例分别为26%和74%.可见,GAOs数量衰减只占其细胞总衰减中很小一部分,而绝大部分衰减由活性衰减所引起.     

闽江水利工程引起的水文环境灾(危)害浅析

闽江干一支流众多水利工程的建成和运营,显著地影响和改变了闽江干一支流河流的水动力场和水化学场的时空状态,导致其纳污量(强度)、稀释扩散净化能力、水化学成分和水体质量等水文环境参数发生变化,引起水文环境灾(危)害问题日益突出.本文概述了闽江干一支流点源污染及面源污染程度和时空状态及其与水利工程建设运营的关系,同时以水口水...     

基于DEM地表水文特征和汇水子流域的提取研究

文章以天津于桥水库上游流域为研究对象,以DEM(数字高程模型)为基础数据,对DEM生成方法、DEM精度、流域地形地貌特征及阈值的选取三个方面分别作了详细研究。试验结果表明,从于桥水库上游流域的水文特征所提取的河网分布与河流与实际分布情况基本吻合,淋河、沙河、黎河三大流域的面积误差范围分别为-3.44%、2.28%和7.63%。     

秋季典型光化学污染过程的分析

通过一个月的Ｏ３－ＮＯｘ同步观测和有关气象资料的分析,研究了光化学污染特点和及其和气象的关系,发现秋季的光化学污染过程,既有冬夏两季局地源产生和积累的机制,也有春季外来源造成的高浓度Ｏ３污染特点。Ｏ３的最大浓度和日最大值平均浓度分别为１６８．７μｇ／ｍ＾３和１１４．８μｇ／ｍ＾３。