基于GM(1,1)模型群的阿什河氨氮浓度的预测研究

依据灰色系统理论,以2000年-2009年10年阿什河入江口断面枯水期氨氮浓度构造了一个由6个GM(1,1)模型组成的灰色动态模型群,并运用该模型群对其变化趋势进行了预测分析,得到令人满意的结果。研究表明,灰色动态模型群法能够充分利用近期水质资料信息预测未来水质变化趋势;以模型群统计平均值作为最终预测值,避免了单一灰色模型容易利用不稳定信息的缺陷,使得预测精度更加准确,预测结果更为可信。     

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%。     

嫩江(齐齐哈尔段)水环境保护治理情况分析

通过对嫩江(齐齐哈尔段)水质的分析,阐述了保护治理嫩江水环境的对策,对嫩江水系的管理和合理开发利用嫩江水资源提供了参考依据.     

植物修复在水环境生态修复中的应用

介绍了平原河网水资源现状及问题成因,对植物修复在水环境生态修复中的应用作了详细的论述,分析了其存在的问题,展望了植物修复应用的发展方向。     

大凌河(锦州段)水质污染状况及防治对策

简要介绍了大凌河水环境污染现状,分析了大凌河水质污染的主要原因,探讨了水污染防治与水环境综合管理的主要问题,提出控制污染的措施.     

黑河流域大气降水稳定同位素变化及模拟

利用2002～2004年黑河流域6个采样点上的301个降水数据,对黑河流域大气降水中δD和δ18O的变化进行了分析.结果表明,流域降水δ18O和δD的变化范围分别为6.5‰～-33.4‰和59‰～-254‰,这主要是由于降水水汽来源不同和气象条件特别是气温和降水量的较大变化使得降水形成的凝结机制发生变化引起;降水中同位...     

暴雨径流污染负荷计算的响应函数模型

暴雨径流污染具有影响面广,监测、控制和处理困难而复杂的特点,其负荷定量化是进行治理与控制的重要基础与中心环节。从我国的实际出发,建立了一个完整的流域暴雨径流污染负荷模型,包括降雨径流模型、流域产污模型与污染物迁移转化模型。野外实测资料检验表明,该模型具有计算简便、精度高、适应性强的特点。重点论述暴雨径流过程中的污染物迁移转化模型     

吉林省主要河流指定标准功能可达性分析

根据吉林省地方标准规定的河流水域功能类别和1995年水质监测结果,采用水质单项标准指数法,对吉林省主要河流34个国控和省控监测断面的单项指标、全指标、有机污染型指标和重金属污染型指标进行了功能评价。结果表明,仅有6个监测断面满足指定的标准功能要求,符合率仅为17.6％,主要超标污染物是COD_Mn和挥发酚。以COD为控制指标,根据逆推法的河流水环境容量模式,计算了污水达标排放情况下的污水允许排放量,从而对河流控制断面指定的标准功能进行了可达性分析。结果表明,污水达标排放时,河流流量较大、污径比较小的河流可达到指定标准功能要求;而枯水期流量较小、污径比较大的河流很难达到,应实施重点污染物的排放总量控制制度。     

Spatiotemporal optical properties of dissolved organic matter in a sluice-controlled coastal plain river with both salinity and trophic gradients

Due to the combined effect of sluices and sea tide, the sluice-controlled coastal plain river would be characterized by both trophic state and salinity gradients, affecting the spatiotemporal optical properties of dissolved organic matter (DOM). In this study, we investigated the spatiotemporal variation of water quality parameters and optical properties of DOM in the Haihe River, a representative sluice-controlled coastal plain river in Tianjin, China. A significant salinity gradient and four trophic states were observed in the water body of the Haihe River. Two humic- and one protein-like substances were identified from the DOM by the three-dimensional fluorescence spectra combined with the parallel factor (PARAFAC) analysis. Pearson's correlation analysis and redundancy analysis (RDA) showed that the salinity significantly affected the abundance of chromophoric DOM (CDOM) but did not cause significant changes in the fluorescence optical characteristics. In addition, the effect of Trophic state index (TSI) on the CDOM abundance was greater than that on the fluorescence intensity of fluorescent dissolved organic matter (FDOM). In the water body with both salinity and trophic state gradients, TSI posed a greater influence than salinity on the CDOM abundance. Our results fill the research gap in spatiotemporal DOM characteristics and water quality variation in water bodies with both salinity and trophic state gradients. These results are beneficial for clarifying the joint influence of saline intrusion and sluices on the DOM characteristics and water quality in sluice-controlled coastal plain rivers.     

EVALUATION OF RUNOFF,EROSION, AND PHOSPHORUS MODELING SYSTEM—SIMPLE1

ABSTRACT: The purpose of this study was to evaluate the performance of Spatially Integrated Models for Phosphorus Loading and Erosion (SIMPLE) in predicting runoff volume, sediment loss, and phosphorus loading from two watersheds. The modeling system was applied to the 334 ha QOD subwatershed, part of the Owl Run watershed, located in Fauquier County, Virginia, and to the 2240 ha watershed, Battle Branch, located in Delaware County, Oklahoma. Simulation runs were conducted at cell and field scales, and simulation results were compared with observed data. Runoff volume and dissolved phosphorus loading were measured at the Battle Branch watershed. Runoff volume, sediment yield, and total phosphorus loading were measured at the QOD site. SIMPLE tended to underestimate runoff volumes during the dormant period, from November to March. The comparison between observed and predicted dissolved phosphorus showed better correlation than for observed and predicted total phosphorus loading. Cell level simulations provided similar estimates of runoff volume and phosphorus loading when compared to field level simulations for both watersheds. However, observed sediment yields better compared with the values predicted from the cell level simulation when compared to field level simulation. Finally, results of model evaluation indicated that SIMPLE's predictive ability is acceptable for screening applications but not for site-specific quantitative predictions.