三峡库区森林植被恢复与可持续经营研究

系统的野外调查数据和历史资料分析结果表明,三峡库区森林植被在空间上发展不均匀,无明显垂直分带,且分布分散,人为干扰严重。目前,在70多个植被类型中,森林类型占25个,江岸两侧海拔800 m以下地区森林已经很少。森林类型中,马尾松、柏木林的分布面积最大,并在许多疏林中成为主要树种,主要是飞播或人工种植。库区大于25°的坡耕地占耕地面积的17.5％。库区薪炭林仅能满足农村用能总需求量的10.78％。不合理的土地利用方式和对森林的不合理砍伐导致脆弱的土壤系统和森林生态系统的严重退化、生产力下降和严重的水土流失。库区土壤年侵蚀量达到2.9亿t。三峡工程建设和移民安置对库区森林生态系统的压力和影响将是长期的。调查结果同时表明,库区植物生物多样性丰富,植物种类在5 032种以上,而且乡土树种多。分析认为,只要抓住三峡工程建设的契机,紧密结合国家天然林保护和退耕还林工程建设,充分利用良好的生物学基础,科学地封山育林,分带逐步恢复,同时,因地制宜,退耕还林,发展森林能源,建设多目标复合和多种模式并存的林业经营体系,发展经济,就能从根本上改善森林经营环境,实现森林恢复,形成合理布局的水库森林防护系统,促进三峡库区生态环境建设和可持续发展。     

武汉城市圈水资源及水环境承载力分析

水资源及水环境承载力是衡量区域可持续发展的一项重要指标,对区域经济的发展规划具有重要的指导意义。以可承载的人口数量和GDP作为承载力的表征指标,分别运用单位GDP综合用水量评判法和河流一维水质模型及湖库均匀混合模型计算武汉城市圈不同水平年的水资源及水环境承载力,并用承载度来评价水资源及水环境的承载状态。结果表明:2012、2020和2030年武汉城市圈水资源承载力都处于合理承载状态,但是其水环境承载力处于轻度超载状态。可见,水环境承载力对武汉城市圈的用水限制更为严格。随着社会经济的发展及污水处理技术的进步,水环境状况虽然会有所好转,但与水资源数量这一因素相比,水环境仍是制约武汉城市圈经济社会发展的关键因素。     

仙女湖富营养化特征与水环境容量核算

以典型的亚热带大型水库——江西省仙女湖为例,于2011~2013年季节性监测了仙女湖水体理化指标。采用综合营养状态指数法对其富营养化状态进行了评价,并采用沃伦威德尔模型(Vollenweider)和狄龙模型(Dillon)计算了COD、NH₃-N、TN和TP的水环境容量。结果表明:仙女湖水质总体处于地表水Ⅱ类~Ⅲ类标准,TN 0.32~0.91 mg/L、平均0.59 mg/L,NH₃-N 0.012~0.59 mg/L、平均0.31 mg/L,TP 0.017~0.080 mg/L、平均0.028 mg/L,COD_Mn 1.61~5.59 mg/L、平均2.85 mg/L,Chl-a 0.37~0.95 μg/L、平均0.56 μg/L。从湖区上游到下游,各指标尤其是总氮、总磷、透明度和氨氮呈现明显的趋优变化特征,除TP出现Ⅲ类水质外,其余指标多年持续处于Ⅱ类水质状态;从单因子状态指数来看,采用透明度评价的营养状态最高,大部分湖区持续处于轻度富营养状态;TN和TP评价的营养状态次之,处于中营养水平。仙女湖COD、NH₃-N、TN和TP水环境容量分别为21 208.0、3 528.8、4 991.2和248.1 t/a,分别剩余容量比率56.88%、68.25%、62.89%和13.67%,影响仙女湖水环境容量最突出的环境因子为TP。同时,基于对水环境容量影响因素的分析,最后提出了提高仙女湖区水环境容量的建设性方案。     

经济发达县域耕地土壤重金属污染评价及其影响因素分析——以江苏省昆山市为例

通过对昆山市14个区镇91个土壤样品中As、Cd、Cr、Cu、Pb、Ni、Hg、Zn 8种重金属测定分析,对该市耕地土壤重金属污染进行评价并进行重金属污染的影响因素分析.结果表明,昆山市耕地土壤存在不同程度的轻微污染,重金属Cd、Cr、Cu、Pb、Hg、Zn均超过国家土壤背景值,旱地、水田中均以Hg污染范围较广、变异系数较大.综合污染指数表现为水田(1.15)＞旱地(1.00).区镇耕地重金属污染评价表明千灯、陆扬、石浦、锦溪、石牌处于警戒值之内,蓬朗、周庄、张浦、正仪、周市、巴城、淀山湖、花桥、陆家轻度污染;昆山市耕地土壤中重金属元素均未超过土壤环境基本容量,能够保证作物品质和农业持续发展.同时,研究表明区域重金属轻微污染具有复合污染的特性,Cd、Pb相关性最高(P=0.621 0), Pb与Hg、Cu、Zn、Cu与Cr也有相关性(0.438 7、0.426 0、0.350 9、0.394 0),区域重金属的轻微污染受人为因素影响显著,研究指出应加强对区域优先控制污染物Hg、次优先控制污染物Pb、Cd、Zn、Cu、Cr的控制与治理.     

浮桥河水库浮游植物的多样性及其演变

1997年4月至1998年1月对浮桥河水库浮游植物状况进行了调查,结果表明:该水库常见浮游植物约189种,隶属于8门92属,其中硅藻门25属64种,绿藻门39属79种,蓝藻门17属30种,甲藻门、隐藻门、裸藻门、黄藻门及金藻门种类较少。其个体密度年平均为44.9×104ind/L;生物量年平均为6.439mg/L,其中蓝藻占33.37%,硅藻和绿藻分别占20.68%和20.16%,甲藻占16.31%。浮游植物现存量的季节变化表现为从春季开始平稳上升,至秋季达到最大值。蓝藻、硅藻、绿藻等主要种类的季节变化按生物量大小依次为:秋季夏季春季冬季。浮游植物现存量的水平分布为上游最高,中游次之,下游最低,库汊低于中游而略高于下游。群落的相似性表现为上、中游相近,下游和库汊相近。群落的物种多样性根据计算Shannon-Weiner指数为上游最大,其次为中游,下游再次,库汊最低。与1980年的调查结果相比较,浮桥河水库浮游植物种类小型化明显,生物量增加2.5倍。     

灌溉和降雨条件下生态沟渠氮、磷输出特征研究

为了研究长沙县金井河流域农业源头生态沟渠氮和磷的输出特征,对灌溉和降雨条件下及不同季节生态沟渠水体氮、磷的变化特征进行监测研究。研究结果表明：灌溉和降雨期间,生态沟渠中总氮的输出最大值为270 mg/L,其输出的主要形态为氨态氮和硝态氮,总磷的最大值达032 mg/L。灌溉后,生态沟渠氮、磷的输出均呈单调递减变化,在灌溉初期均最高。降雨后,总氮、总磷沿程变化趋势均呈递减变化;生态沟渠对水体总氮、总磷去除率分别达64%、70%;各断面氮、磷的输出随着时间的增加呈先增加后降低的趋势,其中总氮、氨态氮含量在雨后第3 d达到最高,总磷含量在雨后第2 d达到最高。在不同季节中水体氮、磷的变化以冬季总氮、氨态氮和磷浓度最高     

汉江流域土地利用/覆被变化的水文效应模拟研究

针对流域LUCC驱动因子众多、驱动因子与土地利用/覆被变化之间存在复杂的非线性动态关系的特点,以汉江上游流域LUCC模拟为例,构建基于人工神经网络（ANN）与元胞自动机（CA）的模拟土地利用/覆被变化的CA ANN耦合模型,并应用该模型预测汉江上游流域2020s年代的LUCC变化情景。结果表明：2020s汉江黄家港站上游流域水田、旱地、灌木林与建设用地面积均有不同程度的增加,其中建设用地增幅最大,与区域交通和城市化的迅猛发展趋势相符;除建设用地增幅变化较大之外,1980s～2000s与2000s～2020s两个时期其余土地利用/覆盖类型的面积变化率都比较相近,表明CA ANN耦合模型能够刻画土地利用/覆盖类型的转换规律,在流域土地利用/覆被变化的复杂非线性动态演变情景的模拟预测方面是可行的。在此基础上,应用SWAT分布式水文模型模拟汉江上游流域水文过程。研究结果表明：在1980s年代、2000s年代及预测的2020s年代LUCC情景下,汉江上游流域年平均径流量呈增加趋势,LUCC对径流量年内影响较汛期显著,多年平均蒸散发量呈增加趋势     

高铁扣件弹条疲劳断裂原因分析

通过对WJ-7型扣件中60Si2MnA弹条在拉伸-扭转试验过程发生断裂的原因进行分析和数值模拟研究,得出弹条断裂的原因.对60Si2MnA弹条承受的荷载进行分析可知,WJ-7型扣件在铁垫板与弹条后端接触区域内弯处应力集中最大,是造成弹条断裂破坏的主要原因之一,而弹条断裂的根本原因是弹条长期处于极限强度下工作,使弹条最终...     

三峡库区消落带水淹初期主要优势草本植物生态位变化特征

根据三峡库区初期水位涨落情况,以空间代替时间法,连续两年对典型消落带区域地上植被进行调查,通过计算生态位宽度和生态位重叠来分析不同水淹时间下优势草本植物生态位的变化特征。结果表明,一年水淹区段在未水淹时,植物生态位宽度普遍较窄,此时生态位明显特化,而第二年水淹极大的增加了适应干湿变化的物种的优势度。水淹前生态位重叠值大于0.5的只有12对,小于0.2种对为189对,其中生态位重叠值为零的为103对;水淹后生态位重叠值大于0.5的有24对,小于0.2种对为53对,其中生态位重叠值为零的为6对,说明生境由干燥到湿润的变化,对湿润环境相对适应的物种存活,优势植物生态位重叠明显增加。经两年水淹区段中,第一年以毛马唐的生态位宽度最高,其余17种物种生态位宽度小于0.2的物种占优势物种的61%,第二年以雾水葛和鳢肠的生态位宽度较大,其余15种物种生态位宽度小于0.2的物种占优势物种的50%,共同出现的物种仅有8种。生态位重叠值大于0.5的种对由5对上升到17对,生态位重叠值为零的种对由10对减低到2对,说明连续水淹产生更加均一的生境类型,对资源要求相似的物种是增加的。     

Endosulfan in China 1—gridded usage inventories

Background, aim, and scope  Endosulfan, an organochlorine pesticide (OCP), is genotoxic in mammalian cells and generally considered to be toxic and classified by the World Health Organization and the US Environmental Protection Agency as priority pollutants and a nominator for inclusion in a future iteration of the persistent organic pollutants treaty. Endosulfan is a currently used pesticide and still being used worldwide. The general trend of total global endosulfan use has increased continuously since the first year when this pesticide was applied. It is critical to create national endosulfan usage/emission inventories for China to carry out source–receptor relation analysis, risk assessment, and other research related to endosulfan in this country. Chinese inventories have been published for some OCPs, such as technical HCH and lindane, DDT, and chlordane; for endosulfan, however, there has not been any usage inventory available on any scales (national or provincial), although endosulfan has been widely used since 1994 in this country. This is the first part of the work. The goal of this paper is to quantify the historical production and usage of endosulfan in China and to compile gridded historical usage inventories of endosulfan for this country. Based on these usage inventories, emission and residue inventories will be created, which is the goal of the second part of the work. Materials and methods  Due to the lack of national production and usage information of endosulfan in China, a method to estimate the use of endosulfan was developed. First, information of crops on which endosulfan is applied and average endosulfan use and annual application frequencies of endosulfan on these crops were collected. Secondly, usage of endosulfan on each crop was estimated using the national cropland area for each province from Chinese government reports. Finally, with the help of GIS (geographic information system), the usage data of this insecticide was allocated to a grid system, with a 1/4° longitude by 1/6° latitude resolution, with a size for each grid cell of approximately 25 km by 25 km. Results and discussion  The use of endosulfan in agriculture in China started on cotton in 1994, and on wheat, tea, tobacco, apples, and other fruits in 1998. Endosulfan usage on cotton, wheat, tea, tobacco, and apples in China has been estimated to be approximately 25,700 t between 1994 and 2004. The province with the highest usage of endosulfan is Henan Province, with a total usage reaching 4,000 t, followed by the uses in Xinjiang Autonomous Region (3,200 t), Shandong Province (3,000 t), Hebei Province (2,100 t), and Anhui Province (1,900 t). Gridded usage inventories of endosulfan at a 1/4° longitude by 1/6° latitude resolution have been created, which indicate that the intensive endosulfan use was in the south of Hebei Province, west of Shandong Province, east of Henan Province, north of Anhui Province, east of Jiangsu Province, and some areas in Yunnan Province and Xinjiang Autonomous Region. General agreement has been found between the usage data from our estimation and the small amount of usage data published in China. Conclusions  This is the first national gridded endosulfan usage inventory produced for China. The annual applications of endosulfan from 1994 to 2004 in China were estimated based on the total areas of major crops, on which endosulfan was applied, and spatial distribution of the application was generated at provincial and prefecture levels. With the help of GIS, endosulfan usage based on prefecture was transferred to a 1/4° longitude by 1/6° latitude gridding system. The satisfaction of the inventories was supported by the consistence between the estimation of the annual usage and the reported annual production of endosulfan. Recommendations and perspectives  This gridded endosulfan usage inventory created in this study will be improved upon availability of new information of endosulfan. The usage inventories can be used to create gridded emission and residue inventories for this insecticide. It is believed that this work will pave the way for further endosulfan studies in China and beyond.