Effect of Rainfall Regime and Slope on Runoff in a Gullied Loess Region on the Loess Plateau in China

Runoff was measured from seven plots with different slopes nested in Tuanshangou catchment on the Loess Plateau to study effect of slopes on runoff in relation to rainfall regimes. Based on nine years of field observation and K-mean clusters, 84 rainfall events were grouped into three rainfall regimes. Rainfall regime A is the group of events with strong rainfall intensity, high frequency, and short duration. Rainfall regime C consists of events with low intensity, long duration, and infrequent occurrence. Rainfall regime B is the aggregation of events of medium intensity and medium duration, and less frequent occurrence. The following results were found: (1) Different from traditional studies, runoff coefficient neither decreased nor increased, but presented peak value on the slope surfaces; (2) For individual plot, runoff coefficients induced by rainfall regime A were the highest, and those induced by rainfall regime C were the lowest; Downslope, the runoff coefficients induced by three rainfall regimes presented the same changing trend, although the peak value induced by regime A occurred on a shorter slope length compared to those by regime B and C; (3) Scale effect on runoff induced by rainfall regime A was the least, and that induced by rainfall regime C was the largest. These results can be explained by the interactions of crusting, soil moisture content, slope length and gradient, and erosion units, etc., in the context of different rainfall regimes.     

A combined plasma photolysis (CPP) method for removal of CS2 from gas streams at atmospheric pressure

A combined plasma photolysis (CPP) reactor that utilizes a dielectric barrier discharge (DBD) plasma and 207 nm UV radiation from discharge-driven KrBr^* excimers was designed and constructed. Gas streams containing CS₂ were treated with stand-alone DBD and CPP at atmospheric pressure. In comparison to DBD, CPP greatly enhanced the removal efficiency at the same applied voltage, waste gas concentration and gas residence time. Thus the applied voltage could be reduced to a certain extent in the plasma processing of industrial wastes. Influences of the KrBr^* radiation, inlet CS₂ concentration and gas residence time on CS₂ removal by CPP were also studied. In addition, the likely reaction mechanisms for the removal of CS₂ by CPP are suggested based on the byproducts analysis. The enhanced removal efficiency and reaction mechanisms implied that the CPP process would probably be suitable for the removal of a large number of gaseous pollutants.     

Identification of barley genotypes with low grain Cd accumulation and its interaction with four microelements

The variation in grain cadmium (Cd) concentrations was evaluated among 600 barley genotypes grown in the same field condition to select low Cd accumulating genotypes. The results showed that there is considerable genotypic variation in grain Cd concentrations in barley grain samples, with the mean concentration of 0.16 mg kg(-1) DW and the variation of 0 (not detected) to 1.21 mg kg(-1) DW, and 47.2% of the grain samples exceeded the maximum permissible concentration (MPC) for Cd in cereal grains. In addition, differences between genotypes over the two years were fairly consistent, and Beitalys and Shang 98-128 showed the lowest grain Cd concentration, being 97.5% lower than that in the two highest Cd accumulators E-barley 6 and Zhenong 8 in the second harvest year. The great genotypic differences in Cd concentrations indicated that it is possible to lower Cd content of barley through cultivar selection and breeding for use at sites where Cd concentration in grain exceeds the MPC. Significant genotypic difference was also found in microelement concentrations. Correlation analysis showed that only Mn accumulation is synergetic with Cd accumulation, despite slightly positive relationship between Cd and Zn, Cu, or Fe in accumulation in barley grains.     

Uranium removal from groundwater via in situ biostimulation: Field-scale modeling of transport and biological processes

During 2002 and 2003, bioremediation experiments in the unconfined aquifer of the Old Rifle UMTRA field site in western Colorado provided evidence for the immobilization of hexavalent uranium in groundwater by iron-reducing Geobacter sp. stimulated by acetate amendment. As the bioavailable Fe(III) terminal electron acceptor was depleted in the zone just downgradient of the acetate injection gallery, sulfate-reducing organisms came to dominate the microbial community. In the present study, we use multicomponent reactive transport modeling to analyze data from the 2002 field experiment to identify the dominant transport and biological processes controlling uranium mobility during biostimulation, and determine field-scale parameters for these modeled processes. The coupled process simulation approach was able to establish a quantitative characterization of the principal flow, transport, and reaction processes based on the 2002 field experiment, that could be applied without modification to describe the 2003 field experiment. Insights gained from this analysis include field-scale estimates of the bioavailable Fe(III) mineral threshold for the onset of sulfate reduction, and rates for the Fe(III), U(VI), and sulfate terminal electron accepting processes.     

Synthesis, characterization and application of a novel chemical sand-fixing agent-poly(aspartic acid) and its composites

A novel sand-fixing agent-poly(aspartic acid) and its composites were synthesized to improve sand particles compressive strength and anti-wind erosion properties. The relationship between the concentration of sand-fixing agent and the sand-fixing properties was studied by three kinds of aging tests. Some composites were choose to improve the sand-fixing property and the composition of 40% xanthan gum and 60% ethyl cellulose were chosen to compare sand-fixing property with lignosulfonate. The results showed that the sand-fixing and water-retaining properties of xanthan gum and ethyl cellulose composites were better than that of lignosulfonate. The biodegradability experiment showed that the PASP and its composites were environment-friendly products and the field test showed that the PASP composites could improve wind erosion disturbance.     

黄浦江上游优先控制有机物的筛选

参考国内外同行有关控制物的筛选方法，通过黄浦江上游饮用水源保护区内水质的污染现状分析，确立了黄浦江上游水源保护区优先控制污染物的筛选原则和筛选程序，建立了黄浦江上游工业废水和地面水中的优先控制的名单。     

农业综合开发项目优化设计及典型案例分析 --以江汉平原荆州市为例

项目设计是农业综合开发投资前期工作及建设管理过程中的一个重要环节,直接关系到农业综合开发项目建设质量和投资综合效益。鉴于多年来农业综合开发项目立项和项目设计粗放、项目效益评价简单、项目建设方案缺乏具体量化比较等问题,以农业综合开发投资中的土地治理项目为考察对象,从分析农业综合开发经济效益目标入手,以成本—效益分析方法为依据,以目标规划为工具,结合具有典型平原农区特色的湖北省荆州市的案例,就如何优化农业综合开发项目设计,包括如何确立优化目标、建立项目效益评价指标体系、建立优化模型及模型应用等方面进行了初步探讨。结论和方法对推进农业综合开发项目管理定量化、精细化、科学化有一定意义。     

外源锌对镉胁迫下玉米幼苗生长及根系构型分级的影响

为探究不同浓度锌（Zn）对镉（Cd）胁迫条件下玉米幼苗生长及根系构型分级的影响,通过水培试验,以玉米品种郑单958为试验材料,研究Cd胁迫条件下（50 μmol·L^-1）,外源施加不同浓度Zn（0、10、25、50、100、200和400 μmol·L^-1）对玉米幼苗生长、根系构型及其分级特征、Cd含量及根系Cd吸收能力、光合系统的影响,并通过主成分分析和隶属函数法进行综合评价.结果表明,50 μmol·L^-1 Cd胁迫对玉米幼苗具有明显的毒害作用,使叶绿素含量和光合参数显著降低,主根长、株高、生物量、根分枝数和根尖数,包括Ⅰ~Ⅲ级径级区间的根长、根表面积及Ⅰ~Ⅱ级径级区间的根体积显著下降,阻碍了玉米幼苗的正常生长发育.施用100 μmol·L^-1和200 μmol·L^-1 Zn与不施Zn相比,降低了玉米幼苗对Cd的吸收,显著降低了Cd含量和Cd吸收效率,缓解了对玉米幼苗的毒害作用,使地上地下部鲜重、地上部干重、地上地下部耐受指数和根分枝数均显著升高;显著增强了玉米幼苗的光合作用,促使幼苗光合速率和总叶绿素含量显著升高;Ⅰ级径级区间的RL、Ⅰ~Ⅱ级径级区间的SA和RV在100 μmol·L^-1 Zn时达到最大,Ⅲ级径级区间的RL、SA和RV在200 μmol·L^-1 Zn时达到最大,均显著高于不施Zn处理;玉米幼苗生长耐受性综合评价表明,100 μmol·L^-1和200 μmol·L^-1 Zn缓解Cd毒害作用效果较好.综合分析可知,施加适宜浓度的Zn可以降低玉米幼苗植株内Cd含量、根系Cd吸收能力及Cd吸收效率,提高玉米幼苗生物量的积累,减轻Cd毒害对根系构型的影响,减少对光合系统的影响,提高玉米幼苗对Cd的耐受性.     

基于改进麻雀搜索算法优化BP神经网络的土壤有机质空间分布预测

土壤有机质是衡量土壤肥力的重要指标,提高区域有机质空间分布预测精度十分必要.利用黄河流域卫宁平原采集的1 690个土壤表层（0~20 cm）有机质及自然环境、人类活动数据,通过1 348个点采用经典统计学、确定性插值、地统计插值和机器学习的方法分别建立了土壤有机质空间分布预测模型,以342个样点数据为测试集检验分析不同模型预测精度.结果表明,卫宁平原土壤表层ω（SOM）的平均值为14.34 g·kg^-1,1 690个采样点土壤有机质变异系数为34.81%,为中等程度变异,呈现出东北部、西南地区含量低,中间黄河左右岸和地势平缓的黄河阶地相对含量高的空间分布趋势.4类方法的预测精度大小为：机器学习法>地统计插值方法>确定性插值方法>经典统计学方法.通过对比,基于改进麻雀搜索算法优化的BP神经网络预测精度最好,改进后的麻雀搜索算法具有更优的收敛精度,避免了陷入局部最优,防止了数据过拟合,具有较好的预测能力,该优化算法可以提高土壤有机质含量预测精度,在土壤属性预测上有良好的应用前景.     

基于MODIS和GIS的洪水识别及淹没区土地利用信息的提取

介绍了MODIS数据晴空和薄云下水体的有效识别算法——CH2/CH1比值方案,并应用于2007年淮河流域大洪水事件,选取泄洪前、泄洪期和退水期3时相的MODIS数据进行水体识别分析,有效确定洪水淹没区。利用GIS技术提取洪水淹没区土地利用信息,进一步统计安徽省沿淮县市淹没区土地利用各类型的面积,从而为区域洪水灾害评估提供参考依据。相关研究成果已在ArcGIS中建成模型,为洪水监测业务服务。