黄土地区石油类污染物的径流污染模拟及模型预测

在土壤石油污染负荷为721－16060mg/kg、暴雨强度为 0.5－1.70mm/min的条件下进行了室内径流污染模拟试验研究．结果表明,随土壤石油污染负荷的提高,产流量与释放至水中的污染物浓度均增大,但产沙量降低;随暴雨强度的增大,产流、产沙、产污的强度均提高．试验条件下释放于水中的石油污染物浓度可高达1.56－15.6mg/L,由此进一步表明,暴雨径流对水体造成的石油污染不可轻视．在试验研究基础上,建立了径流污染过程的稳态产流、产沙、产污模型;应用该组模型对土壤石油污染负荷为 7050mg/kg和不同雨强下的径流污染进行了预测,预测结果与试验模拟结果吻合良好     

旅游活动对九寨沟地表径流氮磷流失的影响研究

2005年4—9月,选择九寨沟旅游热点景点五花海与珍珠滩,设置了4组对比样地(干扰与未干扰对照),采用径流实验方法定位监测了25个降雨事件下的地表径流、湖边水体与地表降水中的全氮、全磷含量,分析了旅游活动对九寨沟核心景区林下地表径流与湖边水质中氮/磷含量的影响,探讨了旅游活动对湖泊水质变化的影响。研究发现:(1)地表径流中的全氮/全磷含量均显著高于近地表层降水中的全氮与全磷,也显著高于天然降水中的含量;(2)旅游活动后,径流全氮和全磷含量都增大;(3)径流全氮和全磷含量与土壤物理因子呈显著相关关系,地被覆盖因子中的凋落物因子影响径流全磷含量较显著;(4)地表径流全氮、全磷含量大于湖边水全氮、全磷含量,两者之间为正相关关系,表明旅游活动引起了氮/磷向湖泊的输入加大。研究结果提示,控制游客的游径扩大,湖岸边地被层植被恢复等措施是削减湖泊富营养化的有效措施。     

广州城市道路雨水径流的水质特征

城市道路雨水径流中富含交通活动所产生的大量石油类、悬浮固体和重金属等污染物,能够对受纳水体的水质造成明显的破坏并影响水生生态。对广州市内道路某路段发生的七场路面雨水径流进行了降雨量、径流量的同步监测和径流样品的水质分析,结果表明,广州城市道路雨水径流中营养盐的含量较低,但COD值较高,且可生化性差,石油类和重金属的含量也较高。其中石油类、COD、悬浮固体和重金属Pb的污染水平虽然与国内其他城市的研究结果在同一范围,但都高于国外发达国家的研究结果,反映出我国在道路路面环境维护和管理上与国外的差距。对照我国地表水环境质量标准,广州城市道路雨水径流中的石油类、COD、悬浮固体和Pb等指标都大大超过III类标准,表明道路径流若不经处理直接排放进入地表水体,可能对受纳水体主要是珠江的水质造成严重影响。     

稻麦轮作田氮素径流流失特征初步研究

针对近年来氮素化肥施用量大而利用率较低现状，在江苏太湖地区设计田间试验，研究稻麦轮作田全年氮素流失特征。结果表明，在本试验条件下稻季和麦季径流中氮损失量相近，麦季略高，约占施氮量的2％左右。麦稻轮作田径流氮损失中氨态氮较少，以硝态氮和其他形态氮为主，其中氨态氮损失以稻季为主，硝态氮损失稻季和麦季相近，其他形态氮损失麦季较多。不同作物田径流氮组成存在差异，麦季径流氮以硝态氮和其他形态氮为主，氨态氮极少，而稻季在施肥后短时间内径流氮中氨态氮、硝态氮和其他形态氮大致相当，其他时间以硝态氮和其他形态氮为主。     

Impacts of Climate Variability and Land Use Alterations on Frequency Distributions of Terrestrial Runoff Loading to Coastal Waters in Southern California1

Abstract: The transport of water, sediment, dissolved and particulate chemicals, and bacteria from coastal watersheds affects the nearshore marine and estuarine waters. In southern California, coastal watersheds deliver water and associated constituents to the nearshore system in discrete pulses. To better understand the pulsed nature of these watersheds, frequency distributions of simulated runoff events are presented for: (1) three land use conditions (1929, 1998, 2050); (2) three time periods (all water years 1989‐2002), only El Nino years (1992, 1993, 1995, 1998); and only non‐El Nino years; and (3) three regions (watershed, uplands, and lowlands). At the watershed scale, there was a significant increase (>200%) in mean event runoff from 1929 to 2050 (0.4‐1.3 cm) due to localized urbanization, which shifted the dominant sources of runoff from the mountains in 1929 (78% of watershed runoff) to the coastal plane for 2050 conditions (51% of watershed runoff). Inter‐annual climate variability was strong in the rainfall and runoff frequency distributions, with mean event rainfall and runoff 66 and 60% larger in El Nino relative to non‐El Nino years. Combining urbanization and climate variability, 2050 land conditions resulted in El Nino years being five times more likely to produce large (>3.0 cm) runoff events relative to non‐El Nino years. Combining frequency distributions of event runoff with regional nutrient export relationships, we show that in El Nino years, one in five events produced runoff ≥2.5 cm and temporary nearshore nitrate and phosphate concentrations of 12 and 1.4 μM, respectively, or approximately 5‐10 times above ambient conditions.     

Measuring the Impact of Urbanization on Channel Widths Using Historic Aerial Photographs and Modern Surveys1

Abstract: Land use in a watershed is commonly held to exert a strong influence on trunk channel form and process. Land use changes act over human time‐scales, which are short enough to measure effects on channels directly using historic aerial photographs. We show that high‐resolution topographic surveys for the channels of paired watersheds in the Lehigh Valley, Pennsylvania, are comparable, but have channel widths that have changed dramatically in the past five decades. The two watersheds, Little Lehigh Creek and Sacony Creek, are similar in most aspects except in their respective amount of urban land use. Aerial photographs of the urbanized Little Lehigh Creek show that a majority of the measured widths (67 of 85) were statistically wider in 1999 than in 1947. In contrast, the measured widths from the agricultural Sacony Creek are more evenly distributed among those that widened (18), narrowed (28), and those that were statistically unchanged (6) from 1946 to 1999. From 1946 to 1999 the only section of Sacony Creek that widened was that reach downstream of the only sizable urban area in the watershed. The current land use in Sacony Creek watershed resembles that of 1946, while the Little Lehigh Creek watershed has more than tripled its urban area. These data, in concert with other recent hydrologic data from the watersheds suggest that the increase in urban area‐generated peak discharges is the mechanism behind the widening that occurred in the Little Lehigh Creek. These wider channels can affect water quality, aquatic habitat, suspended sediment loads, and river esthetics.     

Effect of Snow Cover Conditions on the Hydrologic Regime: Case Study in a Pluvial‐Nival Watershed,Japan1

Abstract: Hydrologic monitoring in a small forested and mountainous headwater basin in Niigata Prefecture has been undertaken since 2000. An important characteristic of the basin is that the hydrologic regime contains pluvial elements year‐round, including rain‐on‐snow, in addition to spring snowmelt. We evaluated the effect of different snow cover conditions on the hydrologic regime by analyzing observed data in conjunction with model simulations of the snowpack. A degree‐day snow model is presented and applied to the study basin to enable estimation of the basin average snow water equivalent using air temperature at three representative elevations. Analysis of hydrological time series data and master recession curves showed that flow during the snowmelt season was generated by a combination of ground water flow having a recession constant of 0.018/day and diurnal melt water flow having a recession constant of 0.015/hour. Daily flows during the winter/snowmelt season showed greater persistence than daily flows during the warm season. The seasonal water balance indicated that the ratio of runoff to precipitation during the cold season (December to May) was about 90% every year. Seasonal snowpack plays an important role in defining the hydrologic regime, with winter precipitation and snowmelt runoff contributing about 65% of the annual runoff. The timing of the snowmelt season, indicated by the date of occurrence of the first significant snowmelt event, was correlated with the occurrence of low flow events. Model simulations showed that basin average snow water equivalent reached a peak around mid‐February to mid‐March, although further validation of the model is required at high elevation sites.     

Spatial Distribution of Water Supply in the Coterminous United States1

Abstract: Available water supply across the contiguous 48 states was estimated as precipitation minus evapotranspiration using data for the period 1953‐1994. Precipitation estimates were taken from the Parameter‐Elevation Regressions on Independent Slopes Model (PRISM). Evapotranspiration was estimated using two models, the Advection‐Aridity model and the Zhang model. The evapotranspiration models were calibrated using precipitation and runoff data for 655 hydrologically undisturbed basins, and then tested using estimates of natural runoff for the 18 water resource regions (WRR) of the 48 contiguous states. The final water supply coverage reflects a mixture of outputs from the two evapotranspiration models. Political, administrative, and land cover boundaries were mapped over the coverage of mean annual water supply. Across the entire study area, we find that 53% of the water supply originates on forested land, which covers only 29% of the surface area, and that 24% originates on federal lands, including 18% on national forests and grasslands alone. Forests and federal lands are even more important in the West (the 11 western contiguous states), where 65% of the water supply originates on forested land and 66% on federal lands, with national forests and grasslands contributing 51%.     

Hydrologic Landscape Characterization for the Pacific Northwest,USA

We update the Wigington et al. (2013) hydrologic landscape (HL) approach to make it more broadly applicable and apply the revised approach to the Pacific Northwest (PNW; i.e., Oregon, Washington, and Idaho). Specific changes incorporated are the use of assessment units based on National Hydrography Dataset Plus V2 catchments, a modified snowmelt model validated over a broader area, an aquifer permeability index that does not require preexisting aquifer permeability maps, and aquifer and soil permeability classes based on uniform criteria. Comparison of Oregon results for the revised and original approaches found fewer and larger assessment units, loss of summer seasonality, and changes in rankings and proportions of aquifer and soil permeability classes. Differences could be explained by three factors: an increased assessment unit size, a reduced number of permeability classes, and use of smaller cutoff values for the permeability classes. The distributions of the revised HLs in five groups of Oregon rivers were similar to the original HLs but less variable. The improvements reported here should allow the revised HL approach to be applied more often in situations requiring hydrologic classification and allow greater confidence in results. We also apply the map results to the development of hydrologic landscape regions.     

Investigation of the Curve Number Method For Surface Runoff Estimation In Tropical Regions

This study tests the applicability of the curve number (CN) method within the Soil and Water Assessment Tool (SWAT) to estimate surface runoff at the watershed scale in tropical regions. To do this, surface runoff simulated using the CN method was compared with observed runoff in numerous rainfall‐runoff events in three small tropical watersheds located in the Upper Blue Nile basin, Ethiopia. The CN method generally performed well in simulating surface runoff in the studied watersheds (Nash‐Sutcliff efficiency [NSE] > 0.7; percent bias [PBIAS] < 32%). Moreover, there was no difference in the performance of the CN method in simulating surface runoff under low and high antecedent rainfall (PBIAS for both antecedent conditions: ~30%; modified NSE: ~0.4). It was also found that the method accurately estimated surface runoff at high rainfall intensity (e.g., PBIAS < 15%); however, at low rainfall intensity, the CN method repeatedly underestimated surface runoff (e.g., PBIAS > 60%). This was possibly due to low infiltrability and valley bottom saturated areas typical of many tropical soils, indicating that there is scope for further improvements in the parameterization/representation of tropical soils in the CN method for runoff estimation, to capture low rainfall‐intensity events. In this study the retention parameter was linked to the soil moisture content, which seems to be an appropriate approach to account for antecedent wetness conditions in the tropics.