一种新型的机场空中驱鸟方法的研究

本文针对鸟撞这一世界性的问题，提出了一种机场驱鸟的新方法，该方法采用航模携带音频设备，频闪及摄像机等的空中复合驱鸟系统。通过对该方法的工作原理及方法的可行性进行了分析，得出了如下结论：该方法能够克服地面驱鸟系统的不足，进一步净化机场上空的范围，改善驱鸟效果，极大地减少了飞机起降时鸟撞的机会；发展专用的空中驱鸟系统不仅是必需，而且是必然的。     

石化废水脱氮技术现状分析

针对石化废水脱氮的现有技术进行归纳,并对各种方法的优缺点进行了对比分析,探讨了目前石化废水的脱氮技术现状和发展趋势。结论是:目前还没有一种通用的方法能处理所有氨氮废水,必须针对不同废水选择不同的技术及工艺。为了更有效地处理废水,应联合使用多种方法和工艺,这已是目前废水处理的一种趋势。     

浅谈安全生产标准化建设

系统阐述了大冶有色金属公司安全生产标准化建设内容、安全生产指标制定准则、建设体系以及建设效果，为现代企业安全生产管理积累了经验，可供借鉴。     

陶庄煤矿矿震灾害与防治

本文通过对陶庄煤矿矿区地质构造及矿震分布特征的分析，探讨了矿震的发生条件及其机理，提出了矿震与天然地震的关联性，阐明了矿震的前兆特征及防治措施。     

鄱阳湖洪灾特征与圩区还湖减灾运用方式研究

根据水文资料,分析了鄱阳湖入湖五大河流来水与长江水情对鄱阳湖洪灾的影响和鄱阳湖洪水位的频率特征,探讨了湖区中小圩区"高水还湖滞洪,低水种植养殖"的减灾运行方式对湖区防洪减灾可以起到的作用。     

SOIL SALINITY PREDICTION USING ARTIFICIAL NEURAL NETWORKS1

ABSTRACT: This study explores the applicability of Artificial Neural Networks (ANNs) for predicting salt build‐up in the crop root zone. ANN models were developed with salinity data from field lysimeters subirrigated with brackish water. Different ANN architectures were explored by varying the number of processing elements (PEs) (from 1 to 30) for replicate data from a 0.4 m water table, 0.8 m water table, and both 0.4 and 0.8 m water table lysimeters. Different ANN models were developed by using individual replicate treatment values as well as the mean value for each treatment. For replicate data, the models with twenty, seven, and six PEs were found to be the best for the water tables at 0.4 m, 0.8 m and both water tables combined, respectively. The correlation coefficients between observed salinity and ANN predicted salinity of the test data with these models were 0.89, 0.91, and 0.89, respectively. The performance of the ANNs developed using mean salinity values of the replicates was found to be similar to those with replicate data. Not only was there agreement between observed and ANN predicted salinity values, the results clearly indicated the potential use of ANN models for predicting salt build‐up in soil profile at a specific site.     

湖北稻区农业资源特点和耕作方式新发展

本文论证了湖北稻区的资源具有三大特点。因此,认定该区应细分为:东南部早三熟双季稻区,中部单、双季稻两热三熟并存区,西北部单季稻两熟区。笔者认为,本区近10年发展麦稻、油稻稻、油稻减少肥稻稻、肥稻其主流是好的;讨论了紫云英大量减步后如何解决有机肥源匮乏的问题。主张今后应积极开发冬种,积极提倡冬作起厢分带间套,既稳定大宗作物的发展,又增产经作、饲料、蔬菜、绿肥,以提高稻田的经济效益。     

USING SOIL TEXTURE TO ESTIMATE SATURATED HYDRAULIC CONDUCTIVITY AND THE IMPACT ON RAINFALL-RUNOFF SIMULATIONS1

ABSTRACT: In this paper a new set of soil texture data is used to estimate the spatial distribution of saturated hydraulic conductivity values for a small rangeland catchment. The estimates of conductivity are used to re-excite and re-evaluate a quasi-physically based rainfall-runoff model. The performance of the model is significantly reduced with conductivity estimates gleaned from soil texture data rather than the infiltration data used in our previous efforts.     

LANDSAT MID-INFRARED DATA AND GIS IN REGIONAL SURFACE SOIL-MOISTURE ASSESSMENT1

ABSTRACT: Landsat satellite Thematic Mapper (TM) data were used to assess regional soil moisture conditions. The mid-infrared (MIR) data of TM band 7 were overlain onto four principal land-use categories (Agricultural/Irrigated, Urban/Clearings, Forest/ Wetlands, Water) using a geographic information system (GIS). M data were used to assess four qualitative surface soil-moisture conditions (water/very wet, wet, moist, and dry) within each land-use category of a 208,354 ha southwestern Florida study area. The MIR response was inversely related to the qualitative surface soil-moisture content. Integration of Landsat TM MIR data with land use through GIS appears to be a useful technique for high-resolution regional soil moisture assessment, and further research to reline this technique is recommended.     

SPATIAL DISTRIBUTION OF POINT SOIL MOISTURE ESTIMATES USING LANDSAT TM DATA AND FUZZY-C CLASSIFICATION1

ABSTRACT: Many hydrologic models have input data requirements that are difficult to satisfy for all but a few well-instrumented, experimental watersheds. In this study, point soil moisture in a mountain watershed with various types of vegetative cover was modeled using a generalized regression model. Information on sur-ficial characteristics of the watershed was obtained by applying fuzzy set theory to a database consisting of only satellite and a digital elevation model (DEM). The fuzzy-c algorithm separated the watershed into distinguishable classes and provided regression coefficients for each ground pixel. The regression model used the coefficients to estimate distributed soil moisture over the entire watershed. A soil moisture accounting model was used to resolve temporal differences between measurements at prototypical measurement sites and validation sites. The results were reasonably accurate for all classes in the watershed. The spatial distribution of soil moisture estimates corresponded accurately with soil moisture measurements at validation sites on the watershed. It was concluded that use of the regression model to distribute soil moisture from a specified number of points can be combined with satellite and DEM information to provide a reasonable estimation of the spatial distribution of soil moisture for a watershed.