Sensitivity and Uncertainty of Ground‐Water Discharge Estimates for Semiarid Shrublands1

Abstract: We proposed a step‐by‐step approach to quantify the sensitivity of ground‐water discharge by evapotranspiration (ET) to three categories of independent input variables. To illustrate the approach, we adopt a basic ground‐water discharge estimation model, in which the volume of ground water lost to ET was computed as the product of the ground‐water discharge rate and the associated area. The ground‐water discharge rate was assumed to equal the ET rate minus local precipitation. The objective of this study is to outline a step‐by‐step procedure to quantify the contributions from individual independent variable uncertainties to the uncertainty of total ground‐water discharge estimates; the independent variables include ET rates of individual ET units, areas associated with the ET units, and precipitation in each subbasin. The specific goal is to guide future characterization efforts by better targeting data collection for those variables most responsible for uncertainty in ground‐water discharge estimates. The influential independent variables to be included in the sensitivity analysis are first selected based on the physical characteristics and model structure. Both regression coefficients and standardized regression coefficients for the selected independent variables are calculated using the results from sampling‐based Monte Carlo simulations. Results illustrate that, while as many as 630 independent variables potentially contribute to the calculation of the total annual ground‐water discharge for the case study area, a selection of seven independent variables could be used to develop an accurate regression model, accounting for more than 96% of the total variance in ground‐water discharge. Results indicate that the variability of ET rate for moderately dense desert shrubland contributes to about 75% of the variance in the total ground‐water discharge estimates. These results point to a need to better quantify ET rates for moderately dense shrubland to reduce overall uncertainty in estimates of ground‐water discharge. While the approach proposed here uses a basic ground‐water discharge model taken from an earlier study, the procedure of quantifying uncertainty and sensitivity can be generalized to handle other types of environmental models involving large numbers of independent variables.     

Modeling Postfire Response and Recovery using the Hydrologic Engineering Center Hydrologic Modeling System (HEC‐HMS)1

Abstract: This paper investigates application of the Army Corps of Engineers’ Hydrologic Engineering Center Hydrologic Modeling System (HEC‐HMS) to a burned watershed in San Bernardino County, California. We evaluate the HEC‐HMS’ ability to simulate discharge in prefire and postfire conditions in a semi arid watershed and the necessary parameterizations for modeling hydrologic response during the immediate, and subsequent recovery, period after a wildfire. The model is applied to City Creek watershed, which was 90% burned during the Old Fire of October 2003. An optimal spatial resolution for the HEC‐HMS model was chosen based on an initial sensitivity analysis of subbasin configurations and related model performance. Five prefire storms were calibrated for the selected model resolution, defining a set of parameters that reasonably simulate prefire conditions. Six postfire storms, two from each of the following rainy (winter) seasons were then selected to simulate postfire response and evaluate relative changes in parameter values and model behavior. There were clear trends in the postfire parameters [initial abstractions (I_a), curve number (CN), and lag time] that reveal significant (and expected) changes in watershed behavior. CN returns to prefire (baseline) values by the end of Year 2, while I_a approaches baseline by the end of the third rainy season. However, lag time remains significantly lower than prefire values throughout the three‐year study period. Our results indicate that recovery of soil conditions and related runoff response is not entirely evidenced by the end of the study period (three rainy seasons postfire). Understanding the evolution of the land surface and related hydrologic properties during the highly dynamic postfire period, and accounting for these changes in model parameterizations, will allow for more accurate and reliable discharge simulations in both the immediate, and subsequent, rainy seasons following fire.     

废水污染物排放总量控制监测技术路线及要求

从中国污染物宏观控制目标出发,阐述了中国实施废水污染物排放总量控制监测的技术路线、监测项目以及相关技术要求。对污染物排放总量控制监测分析方法的应用、采样及测流等有关技术问题,提出了见解。以１９９８年污染源调查统计资料为例,提出了污染物排放总量控制监测方案及有关监测质量的保证措施。     

排污总量核定中的主要问题及解决途径

排放污染物总量核定是排放污染物总量控制中的一项难度很大的基础工作。文章针对目前排污总量核定中存在的环境监测硬件投入不足、体系不完善、可操作性不强、法律效力不够和规范化管理不力等问题 ,提出了排污总量核定应形成一项基本的工作制度 ,应加强排污总量核定体系的运行和监督管理。     

论固体废物排放统计指标体系设计

固体废物排放统计对象应覆盖固体废物从原材料到最终处置的整个生命周期的各个环节(机构),即矿业--加工制造业--产品流通领域--用户--固体废物收运体系--固体废物中间处理厂--固体废物最终处置场.统计指标体系包括固体废物排放统计指标和排放管理指标;统计指标区分为指标、主要参数和辅助参数,既便于理解也便于管理.根据固体废物排放量和已知的固体废物资源化技术,对固体废物重新分类、统计并分类填埋,以便将来实现再利用.固体废物排放控制统计的对象主要是规模以上的污染源,实施统计的污染源的规模应当是全国统一的.     

皖南丘陵地区小流域氮素径流输出的动态变化

以亚热带北部皖南丘陵地区小流域定位实地观测为基础 ,研究了农林共存小流域氮素径流输出规律。发现小流域氮素径流输出季节性变化明显。降雨和施肥是影响这一变化的重要因子 ,模拟分析表明 ,它们与氮素输出之间具有很好的线性相关关系     

Acoustic concomitants of the defensive discharges of a primitive bombardier beetle (Metrius contractus)

Summary. Metrius contractus, a primitive paussoid bombardier beetle, emits its defensive quinonoid froth with accompanying sound (a faint “hiss”), but the sound is not pulsed, indicating that the secretory emission itself is not pulsed. Pulsed secretory delivery in bombardier beetles appears to occur in Brachinini only. Received 8 July 2001; accepted 23 July 2001.     

珠三角地区造纸行业排水中二 NFDA1 英(PCDD/Fs)特征分析

研究采用¹³C同位素内标稀释定量法,高分辨气相色谱质谱法(HRGC-HRMS)对珠三角地区造纸行业排水中PCDD/Fs特征进行了分析。结果表明,该地区造纸行业PCDD/Fs含量为:4.75~80.05 pg/L,且以OCDD占主导地位;同时该类行业PCDD/Fs的TEQ为:0.21~2.02 pg TEQ/L。最后通过对该类行业排水中PCDD/Fs的TEQ年排放量进行讨论,其结果为0.30~12.97 mg TEQ,且年平均排放量(4.42 mgTEQ)只占我国造纸行业TEQ总排放量的很小一部分。     

核电站温排水卫星遥感监测应用研究

选取我国 HJ－1 B卫星红外相机为遥感数据源,在介绍了温排水卫星遥感监测的技术流程和基本原理之后,重点论述了海表温度反演的算法和基准温度提取的基本原则。以2013年1月17日大亚湾核电站和2013年5月22日田湾核电站2景 HJ－1 B红外相机数据为应用实例,说明了卫星遥感监测可作为开展核电站温排水影响监测与热污染评价的首选技术方向和主要监测手段,阐述了其在核电站温排水影响后评估中的作用和意义。     

核电站温排水遥感监测方法研究——以田湾核电站为例

以江苏省连云港田湾核电站为主要研究区,通过热红外遥感技术研究温排水热污染现象,综合应用美国Landsat卫星热红外波段数据及地面气象测站资料,定量反演核电站建成前后附近海域水温分布与变化情况。研究结果表明,遥感技术完全能够满足温排水监测要求,对于完善近岸海域生态环境保护工作具有积极意义。