基于D-P准则的煤层钻孔封孔深度分析

为了确定合理的煤层钻孔封孔深度,提高瓦斯抽采效果,基于D-P屈服准则,提出关于中间主应力、煤岩剪膨胀的巷道开挖模型,推出钻孔周围煤体应力应变及钻孔封孔深度表达式。结合工程实例,以煤巷掘进工作面平均瓦斯抽采浓度和钻屑量为基础进行封孔深度的验证。研究结果表明:中间主应力、残余黏聚力、内摩擦角和剪胀角对于封孔深度有重要影响;在一定区间内,钻孔封孔深度随中间主应力的增大而增加,超过某个值后会随着中间主应力的增加而减小;剪胀角越大,扩容系数越大,钻孔封孔深度越大;平均瓦斯抽采浓度和钻屑量测试结果验证了封孔深度的准确性。     

GIS环境下基于DEM的中国流域自动提取方法

应用地理信息系统平台,建立基于水文站网和水资源信息的空间化水循环数据库是研制开发全国水循环信息管理系统的关键和基础,为了与全国水文站网的观测资料相匹配,水循环数据库的结构将按流域组织,因此快速、有效地自动提取全国流域是所有工作进展的前提。为了从数字高程数据中自动提取全国流域,以提高基于GIS的全国水资源信息获取的效率,从DEM的特性出发,提出了一种从DEM中自动提取全国流域的实用方法。该方法利用1：25万DEM数据,首先将全国流域划分为14大流域片,并在每一流域片内分别提取流域。提取过程如下：首先对DEM数据进行填洼和削峰,然后确定每个栅格单元的水流方向,再根据各栅格单元的水流方向,计算出每个栅格单元的汇流能力,根据汇流能力采用阈值法确定河流网络,最后通过河流网络和流域出水口,快速识别出所有子流域。另外,还给出了利用GIS软件ARC/INFO GRID提取全国流域的AML程序代码,并以海河流域作为实验区将抽样测量结果和自动提取结果进行了实验对比分析,其结果表明利用该方法提取的流域数据与利用手工方法绘制的流域基本一致,证明该方法是有效的。     

制定地方污水综合排放标准与实行水污染物排放许可证制度的实践

介绍结合新疆的特殊干旱区生态环境和社会经济,各种污染物因素,试行制定出了本地区地方污水综合排放标准,实行水污染物排放许可证制度的实践体会。     

花果期持续受渍对油菜生长、产量与含油量的影响

油菜是江汉平原广泛栽培的越冬作物，在春季雨水较多时常遭遇持续受渍胁迫，对产量有明显影响。为了探索春季油菜田的排水管理，取得较高产量，通过测坑试验和小区试验，初步研究了花果斯持续受渍对油菜生长，产量和含油量的影响。结果表明：油菜花果期持续受渍，主要是通过单株的有效角果数，千粒重等因素影响产量；随着持续受渍时间的延长，各受渍处理的单株有效角果数减少，千粒重降低，产量下降，与对照相比，较短时间（比如2天）持续受渍对油菜生长发育，产量形成以及籽粒含油量影响不大，但较长时期持续受渍会对油菜的这些方面产生不良影响，此类水分胁迫是生产上重点防治的对象。因此，在考虑地下水位动脉及其作用时间对油菜影响的排渍指标研究中，应主要从持续受渍程度对产量的影响方面建立关系，确定适宜的新型排渍指标。     

WATER RESERVOIR SYSTEMS1

. Water Reservoir Systems were investigated for urban areas as an alternative or complement to storm water drainage systems for flood control which could provide benefits in water conservation and reduce drainage system costs. The study consisted of: (1) gathering of engineering data on the topographical, hydrological, and precipitation characteristics of the area and urban development and economic statistics     

SPATIAL CLUSTERS OF SUBSURFACE DRAINAGE WATER NO3‐N LEACHING LOSSES1

ABSTRACT: Grouping of nitrate‐nitrogen (NO₃‐N) leaching losses from agricultural fields into spatial clusters can help determine the cause/effect relationships for their occurrence. This study was designed to investigate the spatial relationships of low, medium, and high NO₃‐N leaching losses clusters with soil and landscape attributes using cluster and discriminant analysis and the map overlay capability of a geographical information system (GIS). Field measured data of a six‐year (1993 through 1998) study on NO₃‐N leaching losses from 36 experimental fields at the Iowa State University's northeastern research center near Nashua, Iowa, were normalized on an annual basis to compare over the years. The cluster analysis resulted in the formation of three clusters based on the satisfactory evaluation criteria of pseudo‐F statistic, cubic clustering criterion, and R² values. The discriminant analysis, carried out on the basis of clusters, identified elevation and subsurface drainage as the factors that contributed significantly (p > 0.01) in discriminating among these clusters. The verification of discriminant functions developed on these factors predicted the cluster membership for all the groups with an overall accuracy of 86 percent. The map overlay analyses of GIS showed that spatial occurrence of the clusters transporting high NO₃‐N leaching losses was affected by the interaction of soil type and elevation levels.     

EFFECTS OF BASIN-SCALE TIMBER HARVEST ON WATER YIELD AND PEAK STREAMFLOW1

ABSTRACT: Streamflow changes resulting from clearcut harvest of lodgepole pine (Pinus contorta) on a 2145 hectare drainage basin are evaluated by the paired watershed technique. Thirty years of continuous daily streamflow records were used in the analysis, including 10 pre-harvest and 20 post-harvest years of data. Regression analysis was used to estimate the effects of timber harvest on annual water yield and annual peak discharge. Removal of 14 million board feet of lodgepole pine (Pinus contorta) from about 526 hectares (25 percent of the basin) produced an average of 14.7 cm additional water yield per year, or an increase of 52 percent. Mean annual daily maximum discharge also increased by 1.6 cubic meters per second or 66 percent. Increases occurred primarily during the period of May through August with little or no change in wintertime streamflows. Results suggest that clearcutting conifers in relatively large watersheds (> 2000 ha) may produce significant increases in water yield and flooding. Implications of altered streamflow regimes are important for assessing the future ecological integrity of stream ecosystems subject to large-scale timber harvest and other disturbances that remove a substantial proportion of the forest cover.     

REGIONAL HYDROLOGIC RESPONSE OF LOBLOLLY PINE TO AIR TEMPERATURE AND PRECIPITATION CHANGES1

ABSTRACT: Large deviations in average annual air temperatures and total annual precipitation were observed across the southern United States during the last 50 years, and these fluctuations could become even larger during the next century. We used PnET-IIS, a monthly time-step forest process model that uses soil, vegetation, and climate inputs to assess the influence of changing climate on southern U.S. pine forest water use. After model predictions of historic drainage were validated, the potential influences of climate change on loblolly pine forest water use was assessed across the region using historic (1951 to 1984) monthly precipitation and air temperature which were modified by two general circulation models (GCMs). The GCMs predicted a 3.2°C to 7.2°C increase in average monthly air temperature, a -24 percent to + 31 percent change in monthly precipitation and a -1 percent to + 3 percent change in annual precipitation. As a comparison to the GCMs, a minimum climate change scenario using a constant 2°C increase in monthly air temperature and a 20 percent increase in monthly precipitation was run in conjunction with historic climate data. Predicted changes in forest water drainage were highly dependent on the GCM used. PnET-IIS predicted that along the northern range of loblolly pine, water yield would decrease with increasing leaf area, total evapotranspiration and soil water stress. However, across most of the southern U.S., PnET-IIS predicted decreased leaf area, total evapotranspiration, and soil water stress with an associated increase in water yield. Depending on the GCM and geographic location, predicted leaf area decreased to a point which would no longer sustain loblolly pine forests, and thus indicated a decrease in the southern most range of the species within the region. These results should be evaluated in relation to other changing environmental factors (i.e., CO₂ and O₃) which are not present in the current model.     

Biological mine drainage treatment

Drainage from sulphur mines contains a high concentration of ferrous iron and it is strongly acidic. The mechanism of acid mine drainage formation was briefly explained. As a case study, successful measures taken at the abandoned Matsuo mine, Iwate Prefecture, Japan, for preventing the pollution in receiving rivers was presented in this paper. The measures consisted of the construction works against pollution sources and the construction of a drainage treatment plant in which Thiobacillus ferrooxidans oxidizes ferrous iron under a low pH condition, and produced ferric iron is removed by sedimentation. Then, a laboratory-scale fluidized bed reactor using anion exchange resin as attaching material for the bacteria was examined in order to improve the efficiency of biological oxidation of ferrous iron. More than 90% of oxidation had been maintained for 2 months at 1 h of HRT, which suggests that the size of the oxidation tank could be reduced.     

DRAINAGE GENERATION AND WATER USE IN THE EVERGLADES AGRICULTURAL AREA BASIN1

ABSTRACT: The Everglades Agricultural Area (EAA) covers 2,850 km² in area and is characterized by high water table and organic soil. The area is actively irrigated and drained as a function of weather conditions and crop status. Anthropogenic activities in the basin have resulted in nutrient-enriched drainage water that is discharged to Lake Okeechobee and the Everglades ecosystem. Water quantity and quality issues of the basin have become of increasing interest at local, state, and federal levels, so legislative and regulatory measures have been taken to improve water quality in discharges from the basin. In this study, simulation of hydrologic conditions and soil moisture were conducted using 100 years of daily synthetic rainfall data. From the simulations, the statistical distribution of half-month drainage discharge and supplemental water use in the basin was developed. The mean annual drainage/runoff was 49 cm, the mean supplemental water was 30 cm, and the mean annual a real rainfall was 122 cm. On the average, drainage exceeded supplemental water use in the months of June to September while from December to March drainage and supplemental water use were equivalent. Supplemental water use exceeded drainage in the months of October, November, April, and May. High drainage occurred in June and September; smallest drainage was in February. On the average, the highest supplemental water use occurred in May and November. The 10-year return period of annual drainage during wet and dry cycles were 60 cm and 38 cm per year, respectively. The semi-monthly drainage coefficient of variation (cv) is above 100 percent for the period from the second half of October to end of April. The cv is lower than 100 percent for the remaining season (wet season). The purpose of this paper is to present the magnitude, temporal, and frequency distribution of drainage runoff generation and supplemental water use in the EAA basin. Information on statistics of drainage will contribute to the optimization of the design and operation of drainage water treatment systems.