南京城郊不同土地利用类型农业土壤多环芳烃污染特征及风险评价

以南京市城郊不同土地利用类型的农业土壤(水田、菜地和林地)为研究对象,测定了16种PAHs的含量.结果表明,苊烯(Acy)在所有土壤样本中均未被检出,南京城郊农业土壤15种ω(PAHs)的范围在24.49～925.54μg·kg^-1之间,平均值为259.88μg·kg^-1.PAHs含量由高到低依次为：林地>水田>菜地,总体上以高环PAHs(HMW)含量为主.不同土壤理化性质对PAHs的影响表明：土壤有机碳(TOC)和黏粒(clay)含量与PAHs存在一定的相关性,pH和全氮(TN)与PAHs无明显相关性.毒性当量法和CSI指数法表明,南京城郊农业土壤中PAHs生态风险较小,但是林地中应当给予一定的重视.增量终身癌症风险(ILCR)进行健康风险评价表明,儿童健康的威胁风险略大于成人,林地的总的致癌风险(CR)明显高于菜地和水田,仍处于可接受的范围内.对成人进行了蒙特卡洛模拟表明,确定性健康风险的风险分析低估了PAHs的健康风险.敏感性分析结果表明,对CR总方差影响最大的输入参数是暴露频率EF(占50.7%).     

Estimation of Nonpoint Source Nitrate Concentrations in Indiana Rivers Based on Agricultural Drainage in the Watershed

Subsurface tile‐drained agricultural fields are known to be important contributors to nitrate in surface water in the Midwest, but the effect of these fields on nitrate at the watershed scale is difficult to quantify. Data for 25 watersheds monitored by the Indiana Department of Environmental Management and located near a U.S. Geological Survey stream gage were used to investigate the relationship between flow‐weighted mean concentration (FWMC) of nitrate‐N and the subsurface tile‐drained area (DA) of the watershed. The tile DA was estimated from soil drainage class, land use, and slope. Nitrate loads from point sources were estimated based on reported flows of major permitted facilities with mean nitrate‐N concentrations from published sources. Linear regression models exhibited a statistically significant relationship between annual/monthly nonpoint source (NPS) nitrate‐N and DA percentage. The annual model explained 71% of the variation in FWMC of nitrate‐N. The annual and monthly models were tested in 10 additional watersheds, most with absolute errors within 1 mg/l in the predicted FWMC. These models can be used to estimate NPS nitrate for unmonitored watersheds in similar areas, especially for drained agricultural areas where model performance was strongest, and to predict the nitrate reduction when various tile drainage management techniques are employed.     

Effect of Widespread Agricultural Chemical Use on Butterfly Diversity across Turkish Provinces

Although agricultural intensification is thought to pose a significant threat to species, little is known about its role in driving biodiversity loss at regional scales. I assessed the effects of a major component of agricultural intensification, agricultural chemical use, and land‐cover and climatic variables on butterfly diversity across 81 provinces in Turkey, where agriculture is practiced extensively but with varying degrees of intensity. I determined butterfly species presence in each province from data on known butterfly distributions and calculated agricultural chemical use as the proportion of agricultural households that use chemical fertilizers and pesticides. I used constrained correspondence analyses and regression‐based multimodel inference to determine the effect of environmental variables on species composition and richness, respectively. The variation in butterfly species composition across the provinces was largely explained (78%) by the combination of agricultural chemical use, particularly pesticides, and climatic and land‐cover variables. Although overall butterfly richness was primarily explained by climatic and land‐cover variables, such as the area of natural vegetation cover, threatened butterfly richness and the relative number of threatened butterfly species decreased substantially as the proportion of agricultural households using pesticides increased. These findings suggest that widespread use of agricultural chemicals, or other components of agricultural intensification that may be collinear with pesticide use, pose an imminent threat to the biodiversity of Turkey. Accordingly, policies that mitigate agricultural intensification and promote low‐input farming practices are crucial for protecting threatened species from extinction in rapidly industrializing nations such as Turkey. Efectos del Uso Extensivo de Agroquímicos sobre la Diversidad de Mariposas en Provincias Turcas     

ENVIRONMENTAL AND ECONOMIC DAMAGE CAUSED BY SEDIMENT FROM AGRICULTURAL NONPOINT SOURCES1

Environmental and economic damages caused by agricultural nonpoint source inputs of sediment and associated pollutants are examined. Widespread water quality problems are identified in lakes, rivers, and estuaries in agricultural areas, and billions of dollars of on-site and offsite costs result from this eroded soil every year. Some water bodies have been irretrievably damaged, and expensive rehabilitation programs are needed to remedy in-place water pollution problems if Clean Water Act goals are to be achieved. Unless effective abatement and rehabilitation programs are established, billions of dollars of benefits to future generations will not be realized as more waters become irretrievably damaged, and billions more will continue to be spent by government to treat symptoms of these sediment-related problems.     

土地资源利用保护与农业生态建设

本文阐述了国内外土地后备资源现状及存在问题,解剖了土壤肥力演化机制和土壤资源保护的关系,介绍了我国生态农业建设的研究进展,指出了今后的主攻方向。     

农业开发的企业化经营

目前企业化经营已被越来越多地运用于农业开发的生产管理中。本文阐述了农业开发中企业化经营形式及其重要性,分析了当前企业化经营优势尚未充分发挥的原因,提出了加强农业开发企业化管理的对策。     

清江流域自然旅游资源调查与评价方法

根据清江流域自然旅游资源的特色，首先提出了一套对其进行详细系统的调查方法：（１）利用遥感数字图象处理技术及航、卫片解译结果，圈出潜在景区及潜在景点；（２）详细调查、收集及整理清江流域各市、镇已有资料，填写旅游资源调查登记卡片；（３）在（１），（２）基础上，对主要潜在景区及景点进行野外现场调研。然后，以调查结果为前提，提出了采用综合评分法，模糊数学评价方法，信息量评价方法，神经网络评价方法及地理信息     

Theory and Model of Agricultural Insurance Subsidy

The issue of agricultural insurance subsidy is discussed in this paper aiming to make it provided more rationally and scientifically. It is started with the connection between agricultural insurance and financial subsidy. It is really necessary and crucial to implement the financial insurance due to the bad operational performance, especially in the developing countries. But the subsidy should be provided more rationally because financial subsidy has lots of negative effects. A model in competitive insurance markets developed by Ahsan et al （1982） and a farmers＇ decision model are developed to solve the optimal subsidized rate. Finally, the equation is got to calculate it. But a quantitative subsidized rate is not made here because the calculation should be under some restricted conditions, which are always absent in the developing countries. So the government should provide some subsidy for the ex ante research and preparation to get the scientific probability and premium rate.     

中国农业面源污染物排放量计算及中长期预测

利用第一次全国污染源普查数据,计算了我国内地31个省市自治区农业面源污染排放量,在此基础上,预测了2010—2030年农业面源污染情况.结果表明,2007年,我国农业面源污染的污染物总排放量为1057×104t,其中,COD排放量为825.9×104t,总氮为187.2×104t,总磷为21.6×104t,氨氮为22.4×104t.如果不加大对面源污染的治理力度,2020年前我国农业面源污染有加剧的趋势.在高排放情景下,2030年农业面源污染中COD排放量可能上升到1466.5×104t,面源污染需引起高度重视.目前,东部沿海地区是我国农业面源污染的主要排放区,但未来我国农业面源污染排放的空间分布可能趋于均衡.     

长江上游典型农业源溪流溶存氧化亚氮(N2O)浓度特征及影响因素

随着农业非点源氮（N）污染的加剧,农田周边溪流成为重要的活性N汇和潜在的氧化亚氮（N₂O）排放源.为查明长江上游农业源溪流中溶存N₂O浓度的全年动态变化特征,于2014年12月~2015年10月开展紫色土丘陵区典型农田源头溪流N₂O浓度的连续采样观测,采用水-气顶空平衡-气相色谱法测定顶空气体中N₂O浓度,根据相关参数计算出本研究水体中的溶存N₂O浓度,并同步测定溪流水体物理化学指标,分析水中溶存N₂O浓度的主要影响因素.结果表明,长江上游紫色土丘陵区的典型农业源溪流的硝态氮（NO₃^--N）是最主要的活性N赋存形态（年均1.45 mg·L^-1）,溪流水体溶存N₂O质量浓度（以N计）全年平均为0.57 μg·L^-1（范围0.26~1.28 μg·L^-1）,冬、春、夏和秋季的均值分别为0.63、0.45、0.53和0.64 μg·L^-1,但季节间无显著差异.溪流水体溶存N₂O浓度全年都处于过度饱和状态（饱和度年平均为203.9%,范围109.7%~546.5%）,可见,农业源溪流全年均为潜在的N₂O释放源.溪流溶存N₂O浓度的变化主要由水体NO₃^--N浓度决定,N₂O的主要产生机制为反硝化作用;溪流季节平均N₂O饱和度在夏、秋季显著高于冬、春季,水中溶存N₂O饱和度的变化主要受水温和NO₃^--N浓度的共同影响.研究还发现农业源溪流中溶存N₂O浓度在4~10月（湿润季节）间波动明显,较强降雨可促使其水中NO₃^--N浓度在雨后短期内升高,进而促进水体反硝化作用,导致雨后溪流中溶存N₂O浓度的增加.