水污染防治规划理论方法综述

我国的水污染防治规划工作起于20世纪70年代，经过几十年的发展，目前已初成体系，一些成熟的规划方法得到了较为广泛的应用。然而传统方法本身的缺陷、水环境新问题的提出、计算机技术的发展都要求和促使更多新理论方法应用到实践中来。本文在回顾我国水污染防治规划的发展历程和现有规划方法的基础上，对水污染防治规划理论方法的发展趋势进行了展望。     

地理信息系统在长江源区水土流失动态监测中的应用设想

以长江源区为例，概略介绍了地理信息系统在该区域的应用前景及方法。地理信息系统的应用可为水土流失动态提供丰富的信息，大大缩短数据更新的周期，对于水土流失数据处理、规划、应用建模以及大面积治理，具有实际指导意义。     

有机溶剂回收技术的研究

本文对有机溶剂的回收方法，如吸附法、吸收法、冷凝法和膜分离法等的研究进展与应用进行了综述。其中，吸附法在工业上的应用最为广泛，本文着重介绍了吸附法的工艺以及吸附剂的研究。而膜分离法作为最有发展前景的一种回收方法，主要问题为提高膜的通量和选择性。     

污水深度处理方法及其应用

本文总结了污水回用过程中使用的几种深度处理方法，并对它们的机理以及应用作了简单概述，同时提出了这些方法在今后的一些研究热点和发展前景。     

秦皇岛沿海地下水脆弱性评价

在介绍地下水脆弱性及其评价方法的基础上，分析了秦皇岛沿海地区地下水脆弱性的影响因素。应用DRASTIC方法与GIS技术耦合的模型，对该区地下水脆弱性进行评价，并进行了脆弱性分区。     

膨润土的改性及其在废水处理中的应用

简单介绍了膨润土的结构和基本性质，重点探讨了膨润土的改性方法、改性机理及改性膨润土在废水处理中的应用，指出目前膨润土在废水处理中存在的问题，并展望了其应用前景。     

基于DEA技术的污水处理定价模型

应用DEA方法评价污水处理厂相对效率，并将评价结果用于污水处理定价，得到了基于DEA方法的污水处理定价模型。该模型克服了现有定价模型的不足，体现了政府对污水处理厂生产效率的要求，能够促使企业提高效率并降低成本。     

一种选择城市垃圾处理方式的新方法--模糊数学决策法

对模糊数学决策法的基本原理、方法和步骤作了简要介绍，并将其应用到成都市区生活垃圾处理方式的选择中，其决策结果与成都市区目前采用的生活垃圾处理方式相符，表明了该方法的实用性。本研究为合理选择城市垃圾处理方式提供了一种量化方法。     

MATLAB在环境评价和规划中的应用

本文简述了MATLAB软件的由来和发展，介绍了其主要功能及优点。主要通过在环境评价与规划中的应用实例，展示其在环境科学研究中的应用潜力。文中的第一个实例是MATLAB在多项水质参数的综合评价中的应用，文中对不同的多项水质参数评价方法进行了比较；另一个实例是MATLAB应用于城市固体废物管理规划，极大地提高了规划的水平和准确性，提高了工作效率。最后文中对于该软件在环境学科研究中的应用潜力和优势展开了讨论。     

用差示分光光度法测定高浓度皮革废水中铬的方法探讨

介绍了应用差示分光光度法直接测定高浓度皮革废水中Cr的方法，通过与原实验方法分析结果的对比，获得了满意的结果，能基本满足环境监测的要求。     

时域反射仪结合土钻法测定土壤容重

土壤水分是土地持续利用、水资源规划与管理、环境化学、节水农业技术研究的基础。介绍了时域反射仪（TDR）及其测定土壤水分的方法及应用，并利用时域反射仪结合土钻法测定土壤容重，与经典的环刀法测定土壤容重进行了比较，结果表明：两种测定结果存在一定的差异，TDR结合土钻法测定土壤容重能连续测定而且稳定性好。     

Nitrogen fertilizer recommendations for corn grown on soils amended with oily food waste

Soil and plant indices of soil fertility status have traditionally been developed using conventional soil and crop management practices. Data on managing N fertilizer for corn (Zea mays L.) produced on soils amended with C-rich organic materials, such as oily food waste (OFW) is scarce. Identification of a reliable method for making N fertilizer recommendations under these conditions is imperative. The objective of this research was to evaluate soil NO(3)-N (0- to 30-cm depth) at preplant and presidedress (PSNT) times of sampling for predicting N requirements for corn grown on fields receiving OFW. Experiments were conducted at two locations in Ontario, Canada over 3 yr (1995-1997) where OFW was applied at different rates (0, 10, and 20 Mg ha(-1)), times (fall and spring), and slope positions (upper, mid, and lower) within the same field. Presidedress soil NO(3)-N contents were higher compared with preplant time of sampling under all OFW management conditions. Corn grain yields were significantly affected by OFW management and N fertilizer application rates. Maximum economic rate of N application (MERN) varied depending on OFW management conditions. Presidedress soil NO(3)-N contents had a higher inverse relationship with MERN (r = -0.88) compared with soil NO(3)-N at preplant (r = -0.74) time of sampling. A linear regression model (Y = 180.1 - 8.22 NO(3)-N at PSNT) is proposed for making N fertilizer recommendations to corn grown on soils amended with OFW in this geographical region.     

Optimal spatial resolution for collection of ground data and multi-sensor image mapping of a soil erosion cover factor

Military training activities disturb ground and vegetation cover of landscapes and increases potential soil erosion. To monitor the dynamics of soil erosion, there is an important need for an optimal sampling design in which determining the optimal spatial resolutions in terms of size of sample plots used for the collection of ground data and the size of pixels for mapping. Given a sample size, an optimal spatial resolution should be cost-efficient in both sampling costs and map accuracy. This study presents a spatial variability-based method for that purpose and compared it with the traditional methods in a study area in which a soil erosion cover factor was sampled and mapped with multiple plot sizes and multi-sensor images. The results showed that the optimal spatial resolutions obtained using the spatial variability-based method were 12 and 20m for years 1999 and 2000, respectively, and were consistent with those using the traditional methods. Moreover, the most appropriate spatial resolutions using the high-resolution images were also consistent with those using ground sample data, which provides a potential to use the high-resolution images instead of ground data to determine the optimal spatial resolutions before sampling. The most appropriate spatial resolutions above were then verified in terms of cost-efficiency which was defined as the product of sampling cost and map error using ordinary kriging without images and sequential Gaussian co-simulation with images to generate maps.     

Evaluation of soil erosion risk using Analytic Network Process and GIS: A case study from Spanish mountain olive plantations

The study presents an approach that combined objective information such as sampling or experimental data with subjective information such as expert opinions. This combined approach was based on the Analytic Network Process method. It was applied to evaluate soil erosion risk and overcomes one of the drawbacks of USLE/RUSLE soil erosion models, namely that they do not consider interactions among soil erosion factors. Another advantage of this method is that it can be used if there are insufficient experimental data. The lack of experimental data can be compensated for through the use of expert evaluations. As an example of the proposed approach, the risk of soil erosion was evaluated in olive groves in Southern Spain, showing the potential of the ANP method for modelling a complex physical process like soil erosion.     

ASSESSMENT OF SAMPLING ERROR ASSOCIATED WITH SOIL MOISTURE ESTIMATION DESIGNS1

A spectral formalism was developed and applied to quantify the sampling errors due to spatial and/or temporal gaps in soil moisture measurements. A design filter was developed to compute the sampling errors for discrete measurements in space and time. This filter has as its advantage a general form applicable to various types of sampling design. The lack of temporal measurements of the two‐dimensional soil moisture field made it difficult to compute the spectra directly from observed records. Therefore, the wave number frequency spectra of soil moisture data derived from stochastic models of rainfall and soil moisture were used. Parameters for both models were estimated using data from the Southern Great Plains Hydrology Experiment (SGP97) and the Oklahoma Mesonet. The estimated sampling error of the spatial average soil moisture measurement by airborne L‐band microwave remote sensing during the SGP97 hydrology experiment is estimated to be 2.4 percent. Under the same climate conditions and soil properties as the SGP97 experiment, equally spaced ground probe networks at intervals of 25 and 50 km are expected to have about 16 percent and 27 percent sampling error, respectively. Satellite designs with temporal gaps of two and three days are expected to have about 6 percent and 9 percent sampling errors, respectively.     

微波消解-ICP—MS测定土壤和水系沉积物中的重金属

建立了一种采用逆王水和氢氟酸的混合体系微波酸消解土壤与水系沉积物,电感耦合等离子体质谱法快速测定六种金属元素（As、Cd、Pb、Cu、Cr和Ni）含量的方法。本文研究了消解温度和消解时间对消解效果的影响。结果表明,在190℃下运行25分钟对土壤与水系沉积物中的六种金属元素均具有很好的消解能力,备元素的测定值与标准值相符。在对实际土壤与水系沉积物样品进行分析后得出采样区域的土壤与沉积物中这六种金属含量水平正常。     

Automated and continuous redox potential measurements in soil

Redox potential (Eh) describes the electrical state of a matrix. In soils, Eh is an important parameter controlling the persistence of many organic and inorganic compounds. A popular, but also criticized, manual measuring method makes use of a small tip of Pt placed on a copper wire that is placed in the soil; a reference electrode is placed in the same soil at a fixed distance. Fluctuations in redox potential values measured in the soil can be very large and depth-dependent. This will be overlooked when making single-point measurements. We developed the datalogger Hypnos 2.0 for continuous redox potential and temperature measurements at various depths in the soil and without disturbance of the site. Hypnos is field-deployable, relatively cheap, and runs on batteries. The datalogger can use a "sleep mode" between sampling events. In sleep mode, there is no constant voltage on the Pt wire or the reference electrode, but there is only a short pulse during sampling. We did not measure an effect of this short pulse on the measured redox potential. In sandy soils in mesocosms and in a salt marsh soil we measured changes in the Eh as large as from -400 to +100 mV within 4 d, and daily cycles of 200 mV. Both absolute redox potential values and their diurnal variations were depth-dependent. Because single redox measurements are insufficient in describing redox conditions in some soil systems, Hypnos can be a powerful tool when studying the effects of fluctuating redox conditions on metal availability and pollutant degradation.     

SOIL MOISTURE SENSORS FOR CONTINUOUS MONITORING1

ABSTRACT: Certain physical and chemical properties of soil vary with soil water content. The relationship between these properties and water content is complex and involves both the pore structure and constituents of the soil solution. One of the most economical techniques to quantify soil water content involves the measurement of electrical resistance of a dielectric medium that is in equilibrium with the soil water content. The objective of this research was to test the reliability and accuracy of fiberglass soil-moisture electrical resistance sensors (ERS) as compared to gravimetric sampling and Time Domain Reflectometry (TDR). The response of the ERS was compared to gravimetric measurements at eight locations on the USDA-ABS Walnut Gulch Experimental Watershed. The comparisons with TDR sensors were made at three additional locations on the same watershed. The high soil rock content (≥45 percent) at seven locations resulted in consistent overestimation of soil water content by the ERS method. Where rock content was less than 10 percent, estimation of soil water was within 5 percent of the gravimetric soil water content. New methodology to calibrate the ERS sensors for rocky soils will need to be developed before soil water content values can be determined with these sensors.     

Effect of sampling frequency on estimates of cumulative nitrous oxide emissions

It is generally recognized that soil N(2)O emissions can exhibit pronounced day-to-day variations; however, measurements of soil N(2)O flux with soil chambers typically are done only at discrete points in time. This study evaluated the impact of sampling frequency on the precision of cumulative N(2)O flux estimates calculated from field measurements. Automated chambers were deployed in a corn/soybean field and used to measure soil N(2)O fluxes every 6 h from 25 Feb. 2006 through 11 Oct. 2006. The chambers were located in two positions relative to the fertilizer bands-directly over a band or between fertilizer bands. Sampling frequency effects on cumulative N(2)O-N flux estimation were assessed using a jackknife technique where populations of N(2)O fluxes were constructed from the average daily fluxes measured in each chamber. These test populations were generated by selecting measured flux values at regular time intervals ranging from 1 to 21 d. It was observed that as sampling interval increased from 7 to 21 d, variances associated with cumulative flux estimates increased. At relatively frequent sampling intensities (i.e., once every 3 d) N(2)O-N flux estimates were within +/-10% of the expected value at both sampling positions. As the time interval between sampling was increased, the deviation in estimated cumulative N(2)O flux increased, such that sampling once every 21 d yielded estimates within +60% and -40% of the actual cumulative N(2)O flux. The variance of potential fluxes associated with the between-band positions was less than the over-band position, indicating that the underlying temporal variability impacts the efficacy of a given sampling protocol.     

土壤酞酸酯测定的污染干扰及控制措施

本文针对土壤酞酸酯测定过程中不同阶段(如采样、分析样品制备、仪器分析、空白样检测)的污染干扰,提出了对应的污染控制措施,以降低测定过程中的污染风险,保证测定结果的准确性、可靠性。