大型河流大面积死鱼应急监测案例分析研究

以湖南湘江干流大面积死鱼突发环境事件为例,详细阐述了该事件开展应急监测的全过程,并就河流大面积死鱼突发环境事件应急监测方案、监测指标确定、原因分析等内容进行探讨。溶解氧低是死鱼的主要原因,而大体量低溶解氧污染团的形成与持续高温干旱天气、暴雨以及特殊的开闸放水方式有关。所分析的案例为死鱼事件应急监测工作提供借鉴和参考。     

大树杜鹃Rhododendron protistum var.giganteum和蓝果杜鹃Rhododendron cyanocarpum的濒危原因研究

大树杜鹃ＲｐｒｏｔｉｓｔｕｍｖａｒｇｉｇａｎｔｅｕｍＦｏｒｒｅｓｔｅｔＴａｇｇＣｈａｍｂｅｎｉａｉｎ和蓝果杜鹃ＲｃｙａｎｏｃａｒｐｕｍＦ．Ｗ．Ｓｍｉｔｈ被定为国家三级保护植物［１］。本文对这两种保护植物从资源调查、原产地的土壤分析、种子繁殖和贮存方式、异地保护和异地栽培条件下幼苗生长等４个方面作了濒危原因研究。研究结果表明：大树杜鹃应就地和异地保护并用，蓝果杜鹃则应采取就地保护为宜。     

马钢煤焦化公司开展危险源(点)辨识与分级控制管理的经验

通过对煤焦化生产企业中危险源 (点 )的确定和辨识依据进行阐述和分析 ,采用定量统计方法 ,并结合生产实际情况将所有危险源 (点 )分成三级 (公司或厂级、车间或部门科室级、班组或岗位级 )控制管理 ;从而实现贯彻企业安全管理工作“全员参与、全面管理”的方针 ,预防和避免各类事故的发生 ,使安全工作步入科学化、规范化轨道 ,为企业生产经营创造一个健康和稳定的环境。     

秦皇岛海岸侵蚀动态研究

利用不同时期的地形图、遥感图片对比,并选取典型海岸岸滩监测剖面实测数据,对海岸侵蚀现状进行了分析和定量计算。分析结果显示,秦皇岛海岸全线处于侵蚀状态,平均蚀退率1.5～4 m/a,根据蚀退率可将秦皇岛海岸划分为严重侵蚀、强侵蚀、侵蚀、微侵蚀、稳定5种岸线侵蚀类型。     

甘肃省土壤污染防治制度构建

甘肃省土壤污染主要表现在农村面源污染、工业区城市污染以及矿区污染三个方面。究其原因,与甘肃省地理环境、社会经济发展有密切的联系;而从制度的角度看,甘肃省土壤污染只是作为全国土壤污染防治缺陷的一个缩影,有其必然性和特殊性。立足甘肃土壤污染实际情况,分析其产生的原因,最后对甘肃省土壤污染防治的制度构建提出相应建议。     

Application of Rosgen’s BANCS Model for NE Kansas and the Development of Predictive Streambank Erosion Curves1

Sass, Christopher K. and Tim D. Keane, 2012. Application of Rosgen’s BANCS Model for NE Kansas and the Development of Predictive Streambank Erosion Curves. Journal of the American Water Resources Association (JAWRA) 48(4): 774‐787. DOI: 10.1111/j.1752‐1688.2012.00644.x Abstract: Sedimentation of waterways and reservoirs directly related to streambank erosion threatens freshwater supply. This study sought to provide a tool that accurately predicts annual streambank erosion rates in NE Kansas. Rosgen (2001, 2006) methods were employed and 18 study banks were measured and monitored from 2007 through 2010 (May‐June). Bank profiles were overlaid to calculate toe pin area change due to erosional processes. Streambanks experienced varied erosion rates from similar Bank Erosion Hazard Index (BEHI)‐Near Bank Stress (NBS) combinations producing R² values of 0.77 High‐Very High BEHI rating and 0.75 Moderate BEHI rating regarding predictive erosion curves for NE Kansas. Moderate ratings demonstrated higher erosion rates than High‐Very High ratings and BEHI trend lines intersected at lower NBS ratings, suggesting a discrepancy in the fit of the model to conditions in the NE Kansas region. BEHI model factors were evaluated and assessed for additional influences exerted in the region. Woody vegetation adjacent to the stream seemed to provide the most variation in erosion rates. This study’s findings allowed us to calibrate and modify the existing BEHI model according to woody vegetation occurrence levels along streambanks with high clay content. Modifications regarding vegetation occurrence of the BEHI model was completed and the results of these modifications generated new curves resulting in R² values of 0.84 High‐Very High BEHI and 0.88 Moderate BEHI ratings.     

伊犁河流域水污染及水土流失防治调查

通过对伊犁河流域现状和存在问题的分析 ,针对性地提出了保护伊犁河流域的综合治理措施     

乌鲁木齐市与北方四城市的空气污染对比及原因分析

根据乌鲁木齐、兰州、太原、石家庄和北京五大北方城市的空气污染特征，结合各城市人口、经济和地理位置等要素，分析了乌鲁木齐市与其它城市空气污染及成因的主要异同点，对目前乌鲁木齐市大气污染治理中的若干问题进行了探讨。     

上消化道出血的常见诱因分析及护理对策

本文对上消化道出血的常见诱因进行了分析,并对临床护理方法进行了实践探讨,以求对上消化道出血的护理工作提供参考.     

Use of USLE/GIS Methodology for Predicting Soil Loss in a Semiarid Agricultural Watershed

The Universal Soil Loss Equation (USLE) is an erosion model to estimate average soil loss that would generally result from splash, sheet, and rill erosion from agricultural plots. Recently, use of USLE has been extended as a useful tool predicting soil losses and planning control practices in agricultural watersheds by the effective integration of the GIS-based procedures to estimate the factor values in a grid cell basis. This study was performed in the Kazan Watershed located in the central Anatolia, Turkey, to predict soil erosion risk by the USLE/GIS methodology for planning conservation measures in the site. Rain erosivity (R), soil erodibility (K), and cover management factor (C) values of the model were calculated from erosivity map, soil map, and land use map of Turkey, respectively. R values were site-specifically corrected using DEM and climatic data. The topographical and hydrological effects on the soil loss were characterized by LS factor evaluated by the flow accumulation tool using DEM and watershed delineation techniques. From resulting soil loss map of the watershed, the magnitude of the soil erosion was estimated in terms of the different soil units and land uses and the most erosion-prone areas where irreversible soil losses occurred were reasonably located in the Kazan watershed. This could be very useful for deciding restoration practices to control the soil erosion of the sites to be severely influenced.