低影响开发(LID)的工程措施及其效果

低影响开发(Low Impact Development,LID)是一种采用源头控制理念实现雨水控制与利用的一种雨水管理方法。低影响开发对径流水文水质的作用效果不仅受到降雨强度、降雨时间、温度等环境因素的影响,还受到各种工程措施的材料、结构与组成的影响。文章总结了这些因素对低影响开发技术作用效果的影响,归纳低影响开发技术的现存问题,提出改善低影响开发技术的一些措施,可为低影响开发的应用与普及提供参考,从而有利于实现环境效益和城市发展的双赢。     

黄河下游流域严重缺水成因分析

阐述了黄河水利枢纽库容及黄河中上游拦水筑坝现状。采用库容径流比,分析了黄河流域拦水筑坝的影响及黄河下游流域严重缺水的原因。总结了黄河流域水利枢纽建设中的经验与教训。提出了改进建议。     

Study on Management and Control of Nonpoint Source Pollution from Urban Surface Runoff

Abstract

Urbanization is the dominant form of land-use change in terms of impacts on water quality, hydrology, physical properties of watersheds and their nonpoint source (NPS) pollution potential at present. Urbanization has changed the source, process and sink of urban NPS pollution, especially raised the pollution load of urban runoff NPS in receiving water. Urban runoff pollution is a hot spot of research on NPS. This paper analyzed type, source and harm of the NPS pollutants of urban runoff and its influence on the receiving water. Through estimating NPS pollution load of urban runoff and summarizing the law and characteristics of urban runoff NPS systemically, study on management and control of urban runoff NPS pollution was focused on the application of BMPs (best management practices). It is a fresh methodology that management and control on NPS pollution from urban surface runoff was analyzed by methods of landscape ecology, environmental economics and environmental management. The paper provided a scientific reference for mitigating urban water environment pressure and an effective method for management and control of NPS pollution from urban surface runoff.     

Spatiotemporal Evaluation of Simulated Evapotranspiration and Streamflow over Texas Using the WRF‐Hydro‐RAPID Modeling Framework

This study assesses a large‐scale hydrologic modeling framework (WRF‐Hydro‐RAPID) in terms of its high‐resolution simulation of evapotranspiration (ET) and streamflow over Texas (drainage area: 464,135 km²). The reference observations used include eight‐day ET data from MODIS and FLUXNET, and daily river discharge data from 271 U.S. Geological Survey gauges located across a climate gradient. A recursive digital filter is applied to decompose the river discharge into surface runoff and base flow for comparison with the model counterparts. While the routing component of the model is pre‐calibrated, the land component is uncalibrated. Results show the model performance for ET and runoff is aridity‐dependent. ET is better predicted in a wet year than in a dry year. Streamflow is better predicted in wet regions with the highest efficiency ~0.7. In comparison, streamflow is most poorly predicted in dry regions with a large positive bias. Modeled ET bias is more strongly correlated with the base flow bias than surface runoff bias. These results complement previous evaluations by incorporating more spatial details. They also help identify potential processes for future model improvements. Indeed, improving the dry region streamflow simulation would require synergistic enhancements of ET, soil moisture and groundwater parameterizations in the current model configuration. Our assessments are important preliminary steps towards accurate large‐scale hydrologic forecasts.     

Implications of Upstream Flow Availability for Watershed Surface Water Supply across the Conterminous United States

Although it is well established that the availability of upstream flow (AUF) affects downstream water supply, its significance has not been rigorously categorized and quantified at fine resolutions. This study aims to fill this gap by providing a nationwide inventory of AUF and local water resource, and assessing their roles in securing water supply across the 2,099 8‐digit hydrologic unit code watersheds in the conterminous United States (CONUS). We investigated the effects of river hydraulic connectivity, climate variability, and water withdrawal, and consumption on water availability and water stress (ratio of demand to supply) in the past three decades (i.e., 1981–2010). The results show that 12% of the CONUS land relied on AUF for adequate freshwater supply, while local water alone was sufficient to meet the demand in another 74% of the area. The remaining 14% highly stressed area was mostly found in headwater areas or watersheds that were isolated from other basins, where stress levels were more sensitive to climate variability. Although the constantly changing water demand was the primary cause of escalating/diminishing stress, AUF variation could be an important driver in the arid south and southwest. This research contributes to better understanding of the significance of upstream–downstream water nexus in regional water availability, and this becomes more crucial under a changing climate and with intensified human activities.     

稻田种植对地表径流污染状况调查研究

以辽宁省营口市水稻种植区为研究区域,通过对监测地块实地调研、资料收集、监测分析,在稻田整个作物生长周期化肥、农药的施加等情况下开展氮、磷污染物对地表径流污染状况的调查研究.结果表明:化肥、农药的施加均会使受纳水体中总磷、总氮质量浓度升高,施肥后总氮质量浓度上升最显著,绿色种植在扣除总氮背景值后达到37.7 mg/L,有...     

施肥和秸秆覆盖对成都平原区农田氮和磷流失的影响

近年来由于氮、磷肥料过量施用造成了严重的污染问题和富营养化现象,而且这种污染问题在稻田区域更加明显.因此,采用田间小区试验方法,通过对2018年和2019年田间实地监测,在自然降雨条件下,对成都平原区不同施肥量以及秸秆覆盖对湿沉降和地表径流氮和磷的影响进行研究.结果表明,湿沉降氮养分主要以铵态氮存在,磷养分主要以可溶性总磷存在,氮和磷沉降主要发生在6～8月这3个月.地表径流量与降雨量呈正比,而地表径流氮养分浓度与降雨量呈反比.在2018年和2019年,增氮处理TR3总氮流失量分别为4.75 kg·hm^-2和2.68 kg·hm^-2,比常规处理TR1流失量增加26.73%和43.32%,是流失量最高的处理;减氮处理TR4总氮流失量分别为2.91 kg·hm^-2和1.37 kg·hm^-2,比常规处理TR1流失量降低了36.33%和26.74%,是流失量最小的处理.优化施肥处理TR2和减氮处理TR4能够有效降低地表径流磷素的流失,集中高强度降雨会降低地表径流总磷中颗粒态磷的含量.氮养分的流失主要集中于7～...     

入库径流污染综合防控技术应用实践——以彭州市西河水库为例

针对彭州市西河水库污染现状及污染来源特征,为有效限制和处理入库径流污染物,结合库区自然条件,集成了"生态护坡—岸边人工湿地—人工浮岛"综合防控技术,并设计建设了示范工程。工程运行监测结果表明:经示范工程处理过的径流来水,除总氮以外,其他指标可以达到地表水Ⅲ类标准要求,其中,来水总氮平均超标63%,出水总氮平均超标24%,工程平均削减总氮23.93%。"生态护坡—岸边人工湿地—人工浮岛"综合防控技术及示范工程在西河水库径流污染防控方面发挥了积极作用,可以为类似水源污染防控提供技术参考。     

A Hydrologic Data Screening Procedure for Exploring Monotonic Trends and Shifts in Rainfall and Runoff Patterns

A thorough understanding of past and present hydrologic responses to changes in precipitation patterns is crucial for predicting future conditions. The main objectives of this study were to determine temporal changes in rainfall‐runoff relationship and to identify significant trends and abrupt shifts in rainfall and runoff time series. Ninety‐year rainfall and runoff time series datasets from the Gasconade and Meramec watersheds in east‐central Missouri were used to develop data screening procedure to assess changes in the rainfall and runoff temporal patterns. A statistically significant change in mean and variance was detected in 1980 in the rainfall and runoff time series within both watersheds. In addition, both the rainfall and runoff time series indicated the presence of nonstationary attributes such as statistically significant monotonic trends and/or change in mean and variance, which should be taken into consideration when using the time series to predict future scenarios. The annual peak runoff and the annual low flow in the Meramec watershed showed significant temporal changes compared to that in the Gasconade watershed. Water loss in both watersheds was found to be significantly increasing which is potentially due to the increase in groundwater pumping for water supply purposes.     

The Comparative Accuracy of Two Hydrologic Models in Simulating Warm‐Season Runoff for Two Small,Hillslope Catchments

This article assesses the performance of two hydrologic models in simulating warm‐season runoff for two upland, low‐yield micro‐catchments near Coshocton, Ohio. The two models, namely the Storm Water Management Model (SWMM) and the Gridded Surface‐Subsurface Hydrologic Analysis (GSSHA), were implemented with contrasting levels of complexity, with the former representing the catchments as lumped spatial units and computing evaporation only from standing water, and the latter incorporating fine‐scale variation in topography and soil properties and computing evapotranspiration from soil based on weather data. Our investigation began with uncalibrated model runs for 1990‐2003 except for 1994 using a priori parameter values. Then a set of calibration experiments were performed wherein the sensitivity of model performance to the length of calibration records was examined. Our results pointed to large errors associated with simulations from both models: even the calibrated models were unable to reproduce the seasonal and between‐catchment contrasts in runoff response. Using a priori parameter values, SWMM attained better results than GSSHA. However, with simple calibration, GSSHA outperformed SWMM in several respects. It was also found that extending the record of calibration rendered relatively minor changes to model performance. The practical and scientific implications of the findings are discussed.