新疆北疆典型河流泥沙通量估算方法的对比分析

目前,我国大部分流域均存在不同程度的水污染问题,定量河流污染物通量,掌握污染物时空分布特征,有助于深入开展污染物总量控制工作,是污染治理的重要前提和决策依据。由于新疆河流的常规监测资料中,大部分是水文监测资料,缺乏长序列的水质监测资料,所以污染物通量估算存在不确定性,为了提供精度较高的通量估算方法,本文以河流泥沙通量估算为例,采用1980年新疆北疆多条河流流量和含沙量资料,分析泥沙通量的年内变化及其影响因素,探讨常规通量估算方法与基于负荷历时曲线的通量估算方法的不确定性,适用性,得出基于负荷历时曲线的通量估算方法能较准确估算新疆河流泥沙通量,可为新疆河流泥沙通量的研究提供新思路,为流域污染物通量的计算提供方法依据。     

南京市入江总磷通量计算及方法对比研究

长江是南京市最主要的供水水源地,为减缓水环境压力,分析流域水污染物排放分布特征和污染来源,计算入江总磷通量有着重要意义。根据收集到的南京地区各区县的32个雨量站1962~2015年的逐日降雨量资料计算,2014年南京市的环境统计资料,对南京市入江总磷进行了计算分析,对通量法和污染物负荷法计算结果进行了对比校核,根据通量法以及污染物负荷法计算的入江总磷通量分别为为1 972.87t,为1 866.67t,计算误差为5.4%。     

西宁市空气质量指数AQI现状分析

文章根据西宁市2014~2015年空气质量监测数据,对西宁市AQI的主要特征和首要污染物等进行了分析和对比,得出西宁市空气质量主要以良为主,且有部分轻度污染,首要污染物为颗粒物,提高西宁市的空气质量应着重控制颗粒物的排放及形成。     

气象因素对成都市主要大气污染物影响的非参数分析

通过获取2014年成都市大气污染物和气象因素的在线监测数据,分析大气污染物的时间变化规律,并采用Spearman秩相关系数来分析污染物逐日浓度和气象因素的相关性。结果显示,SO_2、NO_2、CO、PM_(10)和PM_(2.5)夏季浓度最低,冬季最高,O_3则夏季最高,冬季最低;受秸秆露天焚烧影响,5月各污染物浓度均出现一个小高峰。温度和风速均与O_3显著正相关,与其他污染物显著负相关;大气压则相反;相对湿度与各污染物均显著负相关,但在严重污染时与颗粒物显著正相关。     

四川省出川断面主要污染物通量及来源研究

以2001～2007年实测水文、水质数据为基础,计算了四川省主要出川断面高锰酸盐指数(CODMn)和氨氮(NH3-N)污染负荷通量;利用断面水质目标约束,通过污染负荷历时曲线,分析了区域水环境承载力;在基流分割的基础上,利用水文分割法,识别了区域污染物的主要来源,为从源头上开展三峡水库水环境保护提供数据支撑。分析结果表明,各出川断面干流主要污染物(CODMn、NH3-N)大致在可接受的范围内,2001年以来,出川断面CODMn通量呈降低的趋势,有效的减缓了输入三峡库区的污染物总量,氨氮通量整体稳定。嘉陵江、涪江、渠江流域污染物来源主要为非点源,应重点加强面源的污染防控;长江干流为点面源混合型,简单的削减点源已不能保证高功能水体要求,应加强点源和面源污染的综合防控。     

泸州市主城区2019年3月至2020年2月大气颗粒物污染特征及防治对策研究

为了解泸州市主城区颗粒物污染变化特征及成因,选取2019年3月至2020年2月空气自动监测数据,运用Origin2017等技术手段对PM2.5与PM10的时间变化特征、污染来源方向以及污染物之间的相关性进行了分析。结果表明:PM2.5与PM10在不同季节的变化趋势均具有较好的一致性,不同站点污染物相关性特征明显。分析表明:泸州市主城区颗粒物污染成因为工业企业排放、机动车尾气、生物质燃烧、燃煤、扬尘以及不利气象条件等,建议对6类污染排放进行管控。     

陕西省空气质量时空差异研究

通过2016年12月~2017年5月陕西省10个地级市6项常规大气污染物逐小时监测数据,分析陕西省冬春季大气污染现状和时空分布规律。结果表明:(1)冬季关中地区空气质量最差,陕南、陕北地区较好,进入春季后,关中地区空气质量有显著提高;(2)冬季延安市SO2浓度异常高于其它城市,各市冬春季大气污染以颗粒物污染为主;(3)关中城市全天颗粒物污染较重,温度变化对O3小时浓度变化影响最显著,各市O3污染高频时段集中在午后。建议关中地区应加强冬季大气颗粒型污染物浓度控制,延安市应加强对SO2污染物排放的监管。     

大气污染与人体健康

我们所说的大气污染是指进入大气中的污染物质超过了大气环境的容许量,直接或间接地对人类生活、生产和身体健康等方面产生不良影响的现象。除火山爆发,煤田、油田放出有害气体及动植物腐烂等自然因素造成大气污染外,工业生产、农业生产、交通运输、居民日常生活活动等均可造成大气污染。大气中主要的污染物概括起来可分为两类,即颗粒状污染物和有害气体。悬浮颗粒物污染与人体健康空气中可自然沉降的颗粒物称降尘,而悬浮在空气中的粒径小于100微米的颗粒物通称总悬浮颗粒物（TSP）,其中粒径小于10微米的称可吸入颗粒物。可吸入颗粒…     

郪江流域水质现状及成因分析

通过郪江国控监测断面和省控生态补偿监测断面2016年监测数据,利用单因子评价法、综合污染指数法和Spearman秩相关系数法分析了郪江干流水质现状和变化趋势,研究了其水质空间分布和时间变化情况及水质污染的原因。结果表明,2016年郪江水质总体为Ⅴ类,未达到"水十条"考核要求,主要污染物为总磷和化学需氧量。针对郪江水质现状和污染成因,并提出了污染防治建议。     

农业生态环境污染监测技术探讨

农业生态环境污染监测是以农产品污染监测为中心的各环境要素的污染监测。依据农业区域中污染源排放危害农产品的特征污染物选择大气环境污染物、水环境污染物、土壤环境污染物、农产品污染物作为监测指标;依据农业区域中各类污染源的特点布设大气环境污染、水环境污染、土壤环境污染、农产品污染监测点位;在农产品生长期或生产期,大气环境污染及水环境污染同步监测一次,农产品污染在收获时监测一次,依据污染源污染物排放强度确定土壤环境污染监测频次。     

引江济太入湖污染物通量及其对太湖水质贡献

引江济太工程是旨在改善太湖水质的重要工程举措,弄清调水过程中输入太湖的污染物负荷量是研究调水效果的重要方面。本研究根据2003年~2008年调水量和望亭立交闸下的水质监测数据,定量地计算了调水的入湖水量和污染物通量。同时根据2000年~2005年环湖30条河道每月一次的水文及水质监测数据,计算每年环湖河道的入湖水量及污染物通量。通过比较结果表明平均每年调水的入湖污染物通量约占总入湖污染物通量的10%,定量地给出了调水对太湖水质的贡献。     

Effects of calibration on L-THIA GIS runoff and pollutant estimation

Urbanization can result in alteration of a watershed's hydrologic response and water quality. To simulate hydrologic and water quality impacts of land use changes, the Long-Term Hydrologic Impact Assessment (L-THIA) system has been used. The L-THIA system estimates pollutant loading based on direct runoff quantity and land use based pollutant coefficients. The accurate estimation of direct runoff is important in assessing water quality impacts of land use changes. An automated program was developed to calibrate the L-THIA model using the millions of curve number (CN) combinations associated with land uses and hydrologic soil groups. L-THIA calibration for the Little Eagle Creek (LEC) watershed near Indianapolis, Indiana was performed using land use data for 1991 and daily rainfall data for six months of 1991 (January 1-June 30) to minimize errors associated with use of different temporal land use data and rainfall data. For the calibration period, the Nash-Sutcliffe coefficient was 0.60 for estimated and observed direct runoff. The calibrated CN values were used for validation of the model for the same year (July 1-December 31), and the Nash-Sutcliffe coefficient was 0.60 for estimated and observed direct runoff. The Nash-Sutcliffe coefficient was 0.52 for January 1, 1991 to December 31, 1991 using uncalibrated CN values. As shown in this study, the use of better input parameters for the L-THIA model can improve accuracy. The effects on direct runoff and pollutant estimation of the calibrated CN values in the L-THIA model were investigated for the LEC. Following calibration, the estimated average annual direct runoff for the LEC watershed increased by 34%, total nitrogen by 24%, total phosphorus by 22%, and total lead by 43%. This study demonstrates that the L-THIA model should be calibrated and validated prior to application in a particular watershed to more accurately assess the effects of land use changes on hydrology and water quality.     

Development of Sediment and Nutrient Export Coefficients for U.S. Ecoregions

Water quality impairment due to excessive nutrients and sediment is a major problem in the United States (U.S.). An important step in the mitigation of impairment in any given water body is determination of pollutant sources and amount. The sheer number of impaired waters and limited resources makes simplistic load estimation methods such as export coefficient (EC) methods attractive. Unfortunately ECs are typically based on small watershed monitoring data, which are very limited and/or often based on data collected from distant watersheds with drastically different conditions. In this research, we seek to improve the accuracy of these nutrient export estimation methods by developing a national database of localized EC for each ecoregion in the U.S. A stochastic sampling methodology loosely based on the Monte‐Carlo technique was used to construct a database of 45 million Soil and Water Assessment Tool (SWAT) simulations. These simulations consider a variety of climate, topography, soils, weather, land use, management, and conservation implementation conditions. SWAT model simulations were successfully validated with edge‐of‐field monitoring data. Simulated nutrient ECs compared favorably with previously published studies. These ECs may be used to rapidly estimate nutrient loading for any small catchment in the U.S. provided the location, area, and land‐use distribution are known.     

WATERSHED OPTIMIZATION OF AGRICULTURAL BEST MANAGEMENT PRACTICES: CONTINUOUS SIMULATION VERSUS DESIGN STORMS1

ABSTRACT: Nonpoint source (NPS) models and expert opinions are often used to prescribe best management practices (BMPs) for controlling NPS pollution. An optimization algorithm (e.g., a genetic algorithm, or GA) linked with a NPS model (e.g., Annualized AGricultural Nonpoint Source pollution model, or AnnAGNPS), can be used to more objectively prescribe BMPs and to optimize NPS pollution control measures by maximizing pollutant reduction and net monetary return from a watershed. Pollutant loads from design storms and annual loads from a continuous simulation can both be used for optimizing BMP schemes. However, which strategy results in a better solution (in terms of providing water quality protection) for a watershed is not clear. The specific objective of the study was to determine the differences in watershed pollutant loads, in an experimental watershed in Pennsylvania, resulting from optimization analyses performed using pollutant loads from a series of five 2‐yr 24‐hr storm events, a series of five 5‐yr 24‐hr storm events, and cumulative pollutant loads from a continuous simulation of five years of weather data. For each of these three different event alternatives, 100 near optimal solutions (BMP schemes) were generated. Sediment (Sed), sediment nitrogen (SedN), dissolved N (SolN), sediment organic carbon (SedOC), and sediment phosphorus (SedP) loads from a different five‐year period (an evaluation period) suggest that the optimal BMP schemes resulting from the use of annual cumulative pollutant loads from a continuous simulation of five years of weather data provide smaller cumulative NPS pollutant loads at the watershed outlet.     

Nutrient and Sediment Production,Watershed Characteristics,and Land Use in the Tahoe Basin,California‐Nevada1

Abstract: In efforts to control the degradation of water quality in Lake Tahoe, public agencies have monitored surface water discharge and concentrations of nitrogen, phosphorus, and suspended sediment in two separate sampling programs. The first program focuses on 20 watersheds varying in size from 162 to 14,000 ha, with continuous stream gaging and periodic sampling; the second focuses on small urbanized catchments, with automated sampling during runoff events. Using data from both programs, we addressed the questions (1) what are the fluxes and concentrations of nitrogen and phosphorus entering the lake from surface runoff; (2) how do the fluxes and concentrations vary in space and time; and (3) how are they related to land use and watershed characteristics? To answer these questions, we calculated discharge‐weighted average concentrations and annual fluxes and used multiple regression to relate those variable to a suite of GIS‐derived explanatory variables. The final selected regression models explain 47‐62% of the variance in constituent concentrations in the stormwater monitoring catchments, and 45‐72% of the variance in mean annual yields in the larger watersheds. The results emphasize the importance of impervious surface and residential density as factors in water quality degradation, and well‐developed soil as a factor in water quality maintenance.     

From agricultural intensification to conservation: sediment transport in the Raccoon River, Iowa, 1916-2009

Fluvial sediment is a ubiquitous pollutant that negatively affects surface water quality and municipal water supply treatment. As part of its routine water supply monitoring, the Des Moines Water Works (DMWW) has been measuring turbidity daily in the Raccoon River since 1916. For this study, we calibrated daily turbidity readings to modern total suspended solid (TSS) concentrations to develop an estimation of daily sediment concentrations in the river from 1916 to 2009. Our objectives were to evaluate long-term TSS patterns and trends, and relate these to changes in climate, land use, and agricultural practices that occurred during the 93-yr monitoring period. Results showed that while TSS concentrations and estimated sediment loads varied greatly from year to year, TSS concentrations were much greater in the early 20th century despite drier conditions and less discharge, and declined throughout the century. Against a backdrop of increasing discharge in the Raccoon River and widespread agricultural adaptations by farmers, sediment loads increased and peaked in the early 1970s, and then have slowly declined or remained steady throughout the 1980s to present. With annual sediment load concentrated during extreme events in the spring and early summer, continued sediment reductions in the Raccoon River watershed should be focused on conservation practices to reduce rainfall impacts and sediment mobilization. Overall, results from this study suggest that efforts to reduce sediment load from the watershed appear to be working.     

Integrated Modular Modeling of Water and Nutrients From Point and Nonpoint Sources in the Patuxent River Watershed1

Abstract: We present a simple modular landscape simulation model that is based on a watershed modeling framework in which different sets of processes occurring in a watershed can be simulated separately with different models. The model consists of three loosely coupled submodels: a rainfall‐runoff model (TOPMODEL) for runoff generation in a subwatershed, a nutrient model for estimation of nutrients from nonpoint sources in a subwatershed, and a stream network model for integration of point and nonpoint sources in the routing process. The model performance was evaluated using monitoring data in the watershed of the Patuxent River, a tributary to the Chesapeake Bay in Maryland, from July 1997 through August 1999. Despite its simplicity, the landscape model predictions of streamflow, and sediment and nutrient loads were as good as or better than those of the Hydrological Simulation Program‐Fortran model, one of the most widely used comprehensive watershed models. The landscape model was applied to predict discharges of water, sediment, silicate, organic carbon, nitrate, ammonium, organic nitrogen, total nitrogen, organic phosphorus, phosphate, and total phosphorus from the Patuxent watershed to its estuary. The predicted annual water discharge to the estuary was very close to the measured annual total in terms of percent errors for both years of the study period (≤2%). The model predictions for loads of nutrients were also good (20‐30%) or very good (<20%) with exceptions of sediment (40%), phosphate (36%), and organic carbon (53%) for Year 1.     

流域非点源水污染排放清单估算系统构建

基于流域水质改善与水环境管理需求,结合目前流域非点源水污染排放存在的问题,本研究采用SOA-B/S架构,运用MVC6和GIS与环境模型集成关键技术,构建流域非点源水污染排放清单估算系统,并系统梳理了地形数据、污染源环境统计数据、气象数据等基础信息,采用基于输出系数法的非点源水污染负荷估算模型,实现了对全年及年内各分水期非点源水污染排放清单的处理分析和估算。系统通过数据库、GIS平台、模型集成和业务系统建设,实现了对不同时间和空间尺度下不同地区的非点源水污染负荷估算,推进了流域非点源污染排放的信息化、科学化及可视化管理,为决策者制定流域水环境管理措施和方案提供了有力的技术支持。     

构建流域水质综合监测体系的初探

流域水质监测是流域水环境改善与污染防治的重要前提,为流域水环境管理提供了必要的技术支撑。目前环保、水利、流域管理等众多部门均承担了一定范围内的流域水质监测工作,但由于监测方法、取样断面等方面的差异,各监测机构的数据往往存在较大差异,不利于流域水质现状评价、预警预报和水环境的综合管理。本文以长江流域的跨省界断面为研究对象,对构建流域水质综合监测体系进行初探研究,对于确保流域水质安全具有重要意义。     

ALAWAT: A spatially allocated watershed model for approximating stream,sediment, and pollutant flows in Hawaii,USA

The Ala Wai Canal Watershed Model (ALAWAT) is a planning-level watershed model for approximating direct runoff, streamflow, sediment loads, and loads for up to five pollutants. ALAWAT uses raster GIS data layers including land use, SCS soil hydrologic groups, annual rainfall, and subwatershed delineations as direct model parameter inputs and can use daily total rainfall from up to ten rain gauges and streamflow from up to ten stream gauges. ALAWAT uses a daily time step and can simulate flows for up to ten-year periods and for up to 50 subwatersheds. Pollutant loads are approximated using a user-defined combination of rating curve relationships, mean event concentrations, and loading/washoff parameters for specific subwatersheds, land uses, and times of year. Using ALAWAT, annual average streamflow and baseflow relationships and urban suspended sediment loads were approximated for the Ala Wai Canal watershed (about 10,400 acres) on the island of Oahu, Hawaii. Annual average urban suspended sediments were approximated using two methods: mean event concentrations and pollutant loading and washoff. Parameters for the pollutant loading and washoff method were then modified to simulate the effect of various street sweeping intervals on sediment loads.