MODELING OF NONPOINT SOURCE POLLUTION OF NITROGEN AT THE WATERSHED SCALE1

ABSTRACT: The Watershed Nutrient Transport and Transformation (NTT-Watershed) model is a physically based, energy-driven, multiple land use, distributed model that is capable of simulating water and nutrient transport in a watershed. The topographic features and subsurface properties of the watershed are refined into uniform, homogeneous square grids. The vertical discretization includes vegetation, overland flow, soil water redistribution and groundwater zones. The chemical submodel simulates the nitrogen dynamics in terrestrial and aquatic systems. Three chemical state variables are considered (NO₃^-_-, NH₄⁺, and Org-N). The NTT-Watershed model was used to simulate the fate and transport of nitrogen in the Muddy Brook watershed in Connecticut. The model was shown to be capable of capturing the hydrologic and portions of the nitrogen dynamics in the watershed. Watershed planners could use this model in developing strategies of best management practices that could result in maximizing the reductions of nitrogen export from a watershed.     

Multiple linear regression models of urban runoff pollutant load and event mean concentration considering rainfall variables

Rainfall is an important factor in estimating the event mean concentration (EMC) which is used to quantify the washed-off pollutant concentrations from non-point sources (NPSs). Pollutant loads could also be calculated using rainfall, catchment area and runoff coefficient. In this study, runoff quantity and quality data gathered from a 28-month monitoring conducted on the road and parking lot sites in Korea were evaluated using multiple linear regression (MLR) to develop equations for estimating pollutant loads and EMCs as a function of rainfall variables. The results revealed that total event rainfall and average rainfall intensity are possible predictors of pollutant loads. Overall, the models are indicators of the high uncertainties of NPSs; perhaps estimation of EMCs and loads could be accurately obtained by means of water quality sampling or a long term monitoring is needed to gather more data that can be used for the development of estimation models.     

紫色土区不同土地利用类型土壤紧实度特征

以重庆市沙坪坝区杨家沟小流域为例,选取6种土地利用类型样地进行试验,研究紫色土区不同土地利用类型的土壤紧实度特征,为土壤质量评价和土地资源管理提供参考。通过多重比较检验分析土壤紧实度随土壤深度的变化规律以及不同土地利用类型下的差异,结果表明:(1)6种土地利用类型的土壤紧实度值为竹林地园地灌木林地林地草地旱地;(2)6种土地利用类型的土壤紧实度均随土壤深度增加而增大,但各类之间变化差异较大;(3)同土层而言,0~10cm土层旱地与其它5种土地利用类型的土壤紧实度有显著性差异(p0.05),但各种土地利用类型间底层土壤紧实度差异不明显;不同土层而言,0~10cm土层与其它3个土层有显著性差异(p0.05),由于0~10cm土层受耕作、踩踏等外力扰动与其它土层差异较大。10~20cm土层与其它3个土层也有显著性差异(p0.05)。其它各土层之间差异不明显。不同土地利用类型的土壤紧实度差异较大,主要与人类活动扰动程度有关。     

基于观测数据空间化的北京市PM_(2.5)时空分异

PM2.5在地球表面上的变化是连续的,但由于地面海拔起伏和站点分布的相对稀疏,直接内插法很难顾及这种情况。文章运用反距离权重(IDW)、Kriging、经验贝叶斯克里金法(EBK)、多元回归+残差内插的综合空间化手段,对北京市2015年1月的PM2.5数据进行分析。结果表明:利用多元回归+残差内插方法空间化更优,且PM2.5存在显著的正局部空间自相关,中度以上污染主要分布在北京市东南部和房山区。时间上,PM2.5质量浓度逐时均值呈"W"型。3 h尺度上,PM2.5质量浓度与相对湿度和露点温度正相关,与能见度、大气压和风速负相关,与温度不相关。     

稀释倍数影响BOD测定结果机理的探讨

本文探讨了稀释倍数影响BOD测定结果的生化机理.研究结果表明,稀释倍数不同所引起的BOD测定值不同的原因在于培养体系内食料微生物比F/M值的不同.在相同接种条件下,稀释倍数愈大,BOD测定值和耗氧速率常数K值也愈大,而其BOD_u值基本不变.对标准葡萄糖-谷氨酸溶液来说,不同F/M值的两个培养体系的活菌总数峰值均在两日内出现,且F/M值大的其峰值相对滞后出现;细菌种群在内源呼吸期之前的耗氧速率较大,内源呼吸期的耗氧速率较小.     

SELECTION AND SUSTAINABILITY OF LAND AND WATER RESOURCE MANAGEMENT SYSTEMS1

ABSTRACT: Most spatial decision support systems for natural resource planning and management are limited by their scenario-based (non-behavioral), deterministic (non-stochastic) structure. A spatial decision support system is developed that uses a multiple attribute decision-making model to explain how a property manager selects a land and water resource management system (LWRMS) based on its multiple, stochastic economic and environmental attributes. The decision support system assesses sustainable resource management at the property and watershed scales and identifies the most cost-effective policy for enhancing sustainable resource management. Economic attributes are determined with an economic model and environmental attributes are simulated with an environmental model. Input parameters for both models are generated with a geographic information system. The decision support system is used to rank five LWRMS for a sample of 20 farmers in Missouri's Goodwater Creek watershed and for two hypothetical watershed alliance groups. Results indicate that the average farmer and the two alliance groups would rank the five LWRMS in the same manner. From the viewpoint of the watershed alliance, the most preferred LWRMS for the average farmer in the watershed is sustainable.     

中国技术灾害的时序变化与区域差异

近年来,由于生产的全球化、工业水平的迅速提高、技术系统的复杂化和规模化,以及社会结构急剧变化,我国技术灾害的发生频次增多,强度加剧,经济损失趋于上升.技术灾害继自然灾害之后,已逐渐发展为威胁我国人民生命安全和生存环境的主要灾种.基于技术灾害数据库,从致灾因子多度、风险频数、相对损失强度和综合风险指数等4个方面对中国技术灾害的时序变化和区域差异进行了分析与探讨,以期加深对中国技术灾害的系统认识,并为中国技术灾害的风险管理提供依据.     

人工神经网络在矿井多水源识别中的应用

以焦作矿区水化数据为例,选用Na++K+、Ca2+、Mg2+、Cl-、SO2-4、HCO-36种水化离子浓度作为识别矿井水源的依据,运用Matlab软件分别建立BP神经网络与Elman神经网络的矿井多水源识别模型。应用结果表明:与静态的BP神经网络相比,在结构上增加承接层的Elman神经网络在训练和仿真中拟合能力更强,识别精度更高和泛化能力更好;矿井地下水随着地下开采与扰动具有动态性,将具有非线性动态特征的Elman神经网络应用于矿井多水源的识别,对准确判断突水来源和分析地下水运移规律具有一定的辅助和指导意义。     

水泥灰三相泡沫的形成机理与稳定性试验研究

针对高硫矿石容易发生氧化自燃的危险,通常的灌浆、注砂、注惰气和喷洒阻化剂等技术还存在一些不足,提出一种以水泥灰为基料的三相泡沫来预防硫化矿石自燃的新技术。该技术是将水泥灰和水按一定的比例混合,同时加入一定比例的发泡剂和稳泡剂后,经物理机械方式发泡形成,集固、液、气三相材料的防灭火性能与一体。理论分析了水泥灰三相泡沫的形成与衰变机理,并通过正交试验,对三相泡沫的发泡倍数与半衰期进行研究,最后采用单因素实验,定量分析灰水质量比,发泡剂和稳泡剂浓度对三相泡沫稳定性能的影响,得到最佳泡沫配方。结果表明:当灰水质量比为1:5,发泡剂浓度为5g/L,稳泡剂浓度为8g/L时,制得的三相泡沫发泡倍数达到6倍,半衰期达到6h以上。     

多烟囱排放大气环境影响评价工作等级探讨

在环境影响评价工作中,确定大气环境影响评价工作等级是一项很重要的工作。比较了2个大气环境影响评价工程案例,分析了其大气评价工作等级高低及环境影响程度轻重。结果发现,多源项目与单源项目在估算模式上存在差异,对于部分多烟囱项目,按照现行大气评价工作等级划分方法可能有偏差,应进行修正。