Diffusive wave models for operational forecasting of channel routing at continental scale

Operational forecast models require robust, computationally efficient, and reliable algorithms. We desire accurate forecasts within the limits of the uncertainties in channel geometry and roughness because the output from these algorithms leads to flood warnings and a variety of water management decisions. The current operational Water Model uses the Muskingum-Cunge method, which does not account for key hydraulic conditions such as flow hysteresis and backwater effects, limiting its ability in situations with pronounced backwater effects. This situation most commonly occurs in low-gradient rivers, near confluences and channel constrictions, coastal regions where the combined actions of tides, storm surges, and wind can cause adverse flow. These situations necessitate a more rigorous flow routing approach such as dynamic or diffusive wave approximation to simulate flow hydraulics accurately. Avoiding the dynamic wave routing due to its extreme computational cost, this work presents two diffusive wave approaches to simulate flow routing in a complex river network. This study reports a comparison of two different diffusive wave models that both use a finite difference solution solved using an implicit Crank–Nicolson (CN) scheme with second-order accuracy in both time and space. The first model applies the CN scheme over three spatial nodes and is referred to as Crank–Nicolson over Space (CNS). The second model uses the CN scheme over three temporal nodes and is referred to as Crank–Nicolson over Time (CNT). Both models can properly account for complex cross-section geometry and variable computational points spacing along the channel length. The models were tested in different watersheds representing a mixture of steep and flat topographies. Comparing model outputs against observations of discharges and water levels indicated that the models accurately predict the peak discharge, peak water level, and flooding duration. Both models are accurate and computationally stable over a broad range of hydraulic regimes. The CNS model is dependent on the Courant criteria, making it less computational efficient where short channel segments are present. The CNT model does not suffer from that constraint and is, thus, highly computationally efficient and could be more useful for operational forecast models.     

Trends of surface water quality of the Krishna River,India during the urbanization process

In the present study, Amaravati, the proposed city of India is considered to assess the impacts of urbanization on water quality of the Krishna River in the vicinity. Long-term surface water quality data of various parameters of Krishna River are obtained from Central Water Commission (CWC). Trends of various parameters are analyzed using a modified version of Mann-Kendall (M-K) test; bootstrapped M-K trend test with optional bias corrected pre-whitening and R programming are used affecting water quality prior to and at the commencement of urbanization. During the onset of urbanization, minimum BOD is decreased from 0.49 to 0.2 mg/L, while the maximum BOD is increased by 67.7%. Dissolved oxygen's (DO) minimum value is decreased by 29.33% while maximum DO value is decreased by 4.47% at the beginning of urbanization. During the process of urbanization, total coliform's minimum count is increased to 330 from 2 MPN/100 ml while the maximum count of total coliforms is increased to 16,000 from 2400 MPN/100 ml. Faecal coilform's minimum count is increased from 2 to 80 MPN/100 ml while maximum count is increased to 16,000 from 800 MPN/100 ml during urbanization. It is found that due to urbanization, pH, DO values exceed the allowable limit.     

大气CO2浓度升高和氮肥施用对三江平原湿地小叶章生物量及根冠比的影响

利用开顶箱薰气室（open—top chamber）试验装置,研究了不施氮（NN）、施常氮（MN,5g·m^2）和施高氮（HN,15g·m^2）3个氮素水平下大气CO2浓度升高对小叶章（Calamagrostis angustifolia）生物量和根冠比的影响。结果表明,大气CO2浓度升高对小叶章生物量的影响因生长期而异。大气CO2浓度升高对小叶章地上生物量的促进作用主要表现在生长前期,拔节期和抽穗期地上生物量较正常大气CO2浓度增加12．42％～22．60％,而腊熟期和成熟期仅增加3．11％～12．97％;大气CO2浓度升高对小叶章地下生物量的促进作用在生长后期表现明显,除拔节期外,小叶章地下生物量增加17．63％～42．20％。小叶章生物量和根冠比对大气CO2浓度的响应与供N水平有关。在HN水平下,大气CO2浓度升高使小叶章生物量和根冠比明显增加,在NN条件下促进作用则不显著。小叶章根冠比明显增加主要是地下生物量显著增长引起的。     

Role of specific microbial communities in the bioavailability of iron in Doñana National Park

The Doñana National Park contains highly complex microbial communities that play critical roles in the bioavailability and biogeochemical cycling of elements. In this study, we analyzed the formation of Fe-rich films on the surface of shallow waters at Doñana National Park as a model for future applications in bioremediation. Phytoplankton composition and abundance, physicochemical measurements, culture enrichments, and molecular detection of microorganisms were determined during this study. Natural samples were incubated in the laboratory and enrichments producing similar phenomena were obtained. Bacteria belonging to the genera Enterobacter were the major participants in surface Fe-film formation in laboratory enrichments. Film formation was dependent on wind exposure and only those sites protected from the direct influence of wind developed these films. A higher concentration of euglenophytes was found in the proximity of film-covered waters. Available iron (Fe²⁺) and total Fe concentrations were high (18.8 and 46.6 mg/L, respectively) underneath the surface film, and higher than in film-free waters and pore-sediment water. The concentration of phosphate and its availability were higher in the iron-rich film sediment, as 61% of total P was bound to iron oxy-hydroxides. Our results provide evidence of the link between P and Fe biogeochemical cycling in aquatic systems on sandy soils at the Doñana National Park. In addition, they provide significant insights into the bioavailability of these elements with potential interest in the role of microorganisms for metal sequestration in natural environments and utilization in bioremediation processes.     

乌苏里江国家森林公园开发建设探讨

介绍了乌苏里江国家森林公园旅游资源概况 ,在确定公园开发建设原则的基础上 ,评价了公园的开发建设条件 ,并提出了公园开发建设措施。     

贵州雷公山保护区外来入侵植物分布格局

通过实地调查与查阅资料相结合,发现雷公山国家级自然保护区共有33种外来入侵植物,隶属18科31属,以菊科(7种)最多。入侵等级以低等级为主,入侵生活型主要是多年生草本,原产地以尚不明确为主,引入途径以无意传播占绝对优势。外来入侵植物在雷公山国家级自然保护区不同功能区都有分布,但差异不明显,实验区有15种、缓冲区有14种、核心区有13种。在不同的植被类型(草坡、灌木林、乔木林)中分布差异明显,分别为20、14、10种。根据重要值和外来入侵植物危害等级计算得出危害系数,鬼针草Bidens pilosa (73. 71)、牛膝菊Galinsoga parviflora(55. 76)、白车轴草Trifolium repens(51. 17)较高,但目前,以上3种外来入侵植物在该保护区处于可控阶段,没有发生大规模的入侵。     

Mounting Tensions: Materializing Strategies and Tactics on National Park “Social Trails”

This essay builds from Samantha Senda-Cook's 2013 article, “Materializing Tensions,” to explore the material rhetorics of the so-called “social trails” of the Apostle Islands National Lakeshore. These improvised, foot-worn pathways, diverging from and running alongside official Park Service trails, materialize a tension between what Michel de Certeau termed “strategies” and “tactics,” revealing how both are always at play in park and preserve trailspace and how the movements of the individual trail walker actualize and perpetuate a common concept of place. The study demonstrates and advocates close rhetorical attention to material aspects of the biophysical environment and the way that physical traces of many individuals over time can influence the subsequent actions and interpretations of others. The final discussion argues that as further tensions in trailspace rhetorics are identified rhetorical analysis must not fail to account for them.     

Production disruption management for R/M integrated supply chain using system dynamics methodology

The impacts of production disruption in Remanufacturing/Manufacturing (R/M) integrated supply chain on the sales and the methods of production disruption management were studied. A system dynamics model for the R/M integrated supply chain with production disruption was improved by system dynamics methodology. The numerical examples were shown to illustrate the simulation results. The impacts of different recovery times of production disruption on the sales were presented. In order to mitigate the disruption risks and ensure the sales at the needed sales ratio, the methods for setting multi-echelon inventory levels before the occurring of the production disruption and the methods for making back-up plans after the production disruption occurs were given.     

洪泽湖富营养化与环境理化因子间的关系

利用淮安市环境监测中心站1998年—2000年洪泽湖水质监测资料，以洪泽湖水体最能表征营养化状态进程的叶绿素a为基准因子，分析了洪泽湖水质富营养化的原因。通过QBASIC多元逐步回归分析，得出洪泽湖水质富营养化的主控因子是悬浮物、透明度，总磷是富营养化的潜在限制性营养盐。     

城市自然景区游客环境责任行为影响因素研究

城市自然景区是城市中不可多得的旅游资源和游憩空间,游客旅游行为对城市自然景区的游憩冲击一直是城市旅游管理亟待解决的棘手问题,研究游客的环境责任行为是控制游憩负面冲击,增强城市自然景区可持续发展能力的有效途径。本研究在国内外文献综述和实践观察基础上,将游客社会责任意识引入游客环境冲击感知和环境责任行为的关系研究中,建立了包含生态环境冲击感知、不友善行为感知、游客冲突感知和设施管理冲击感知四个游憩冲击感知变量,自我约束行为和保护促进行为两个环境责任行为变量的"游憩冲击感知—社会责任意识—环境责任行为"理论模型,应用问卷调查和结构方程模型,以长沙岳麓山国家5A级景区为案例,对城市自然景区游客环境责任行为的影响因素及其相互关系展开定量实证研究。研究发现:(1)游客游憩冲击感知对环境责任行为的直接影响作用较小,生态环境冲击感知对环境保护促进行为具有显著正向影响;(2)游客社会责任意识对环境自我约束行为具有显著正向影响,其在游客环境冲击感知、设施管理冲击感知、游客冲突感知与环境责任行为的影响关系中起中介作用;(3)游客冲击感知对社会责任意识的影响主要表现为游客生态环境冲击感知和设施管理冲击感知对游客社会责任意识具有显著的正向影响,而游客冲突感知对游客社会责任意识具有显著的负向影响。根据研究结论,文章最后指出城市自然景区游客环境责任行为若干管理启示。