牡丹江流域农业面源污染特征及防治对策研究

牡丹江流域农业面源污染的贡献值大于点源污染。农业面源污染的主要来源中,农田化肥的污染贡献最大,其次是畜禽粪便、生活污水、生活垃圾。区域污染贡献比例中,COD贡献值按大小顺序依次为宁安市、牡丹江市、林口县、海林市。NH3-N、TN、TP贡献值按大小顺序依次为宁安市、林口县、海林市、牡丹江市。结合牡丹江流域农业面源污染的构成特点和现存问题,提出切实可行的农业面源污染防治对策。     

Perspectives on policy framework for trans-boundary water quality management in China

In river basins that cross jurisdictional boundaries, water quality degradation has become a crucial problem and results in intensive competition among water users, especially in developing countries. Under this situation, implementing water quality management and control across jurisdictional boundaries can strengthen watershed pollution controls, and prevent pollution from being passed on and promote active pollution control within the related jurisdictional regions. This study examined the limitations of the current trans-boundary water quality management system in China and reviewed the planning and implementation of two pilot integrated trans-boundary water management systems established in the Jiangsu and Zhejiang provinces. Based on our findings, we proposed a new policy framework for trans-boundary water quality management. As a first step toward integrated watershed management in China, this policy framework can help assess the actual water pollution status of various regions and serve as a basis for an integrated watershed management system. The framework can be easily applied in other countries with trans-boundary water pollution issues, particularly in the context of developing countries.     

株洲典型功能区土壤重金属污染及其生态风险

该研究采集株洲典型城市功能区工业区和农林综合利用区的农用土样,对土壤中Pb、Cd、Hg、As进行分析,采用内梅罗指数法和多指标生态评价法评价了土壤的污染状况和生态风险,结果表明:工业区周边农用土壤的污染程度显著高于农林综合利用区,不同功能区的污染特征极为相似,即:均以Cd和Hg为主要污染物,内梅罗指数评价为重度污染,As为轻度污染,且耕地的污染程度显著高于林地,工业区周边79%的耕地样点、71%的林地样点,农林综合利用区54%的耕地样点、43%的林地样点,内梅罗综合污染指数值大于6,复合污染严重,达强生态危害。含重金属废水灌溉以及Pb,Cd气型污染物的迁移沉降是土壤重金属富集的主要途径。文章就菜地和稻田土壤的生态危害,提出生态风险防范措施。     

岩溶流域地下水TOC输出及影响因素分析:以重庆丰都雪玉洞地下河流域为例

2014年8月至2015年9月通过野外在线监测获取岩溶流域连续、高精度的气象、地下水TOC和水文地球化学等数据,利用主成分回归模型探讨流域地下水TOC在不同时间尺度上的输出及影响因素.结果表明在季节时间尺度上,气温和地下水电导率(Sp C)夏季高,冬季低,p H则相反;TOC和浊度冬、夏季高,春、秋季低;地下水TOC和水文地球化学指标对降雨表现出明显的响应过程,但地下水TOC对不同降雨强度的响应时间和过程有明显差异,整体来说,TOC在降雨过程中表现出上升的趋势,而暴雨过后受稀释效应影响呈现下降趋势.主成分回归分析发现降雨、流量和浊度对TOC有正向促进作用,而气温和p H对TOC有负向的影响.     

不同雨强条件下河流水质对流域土地利用类型与格局空间响应

以七乡河流域为研究区域,基于2015年4、5、6月3次不同雨强条件下的河流水质实时监测数据,以及区域DEM数据和遥感数据,根据高程与坡度将流域划分5级河流缓冲区,研究不同雨强条件下各缓冲区内土地利用类型、格局与河流水质之间的响应关系.结果表明:1不同空间单元土地利用类型与格局存在差异.低缓区域、中缓区域和高缓区域优势土地利用类型为建设用地;中陡区域和高陡区域林地为优势土地利用类型.2低缓区域是不同雨强条件下,土地利用类型对河流水质影响最大的空间单元.3低缓区域建设用地对水质的影响最大;中缓区域湿地对小雨强时水质影响最大;建设用地对中等雨强和大雨强时水质影响最大.中陡和高缓冲区,建设用地对小雨强时水质影响最大;而中等雨强和大雨强时林地对水质影响最大.4土地利用格局对河流水质影响比较复杂.平均斑块形状指数对低缓区域水质影响最大;斑块密度、平均斑块形状、多样性指数分别是中缓区域3种雨强时对水质影响最大的格局因子;高缓区域3种雨强条件下平均斑块形状指数、多样性指数和斑块密度对水质影响最大;平均斑块形状指数和蔓延度是中陡区域和高陡区域小雨强和大雨强时对水质影响最大,蔓延度和多样性指数是中等雨强时影响最大土地利用格局因子.     

闽江感潮河段夏秋季涨落潮河水稳定同位素（N/D/O-18）组成特征解析

流域氮污染的稳定同位素表征和溯源对于保障流域污染防控和用水安全具有重要意义,本文通过对感潮河段夏、秋季涨落潮主要断面硝态氮（NO₃^-）及稳定同位素(δ¹⁵N-NO₃^-、δ¹⁸O-NO₃^-、δD-H₂O和δ¹⁸O-H₂O)组成特征测定及沿线小流域的氮污染入河量测算,探讨了陆域氮排放和水体交换对感潮河段稳定同位素的影响.研究表明：（1）落潮、涨潮期NO₃^-均为“秋季>夏季”,δ¹⁵N-NO₃^-夏、秋两季组成特征基本相近.落潮期δ¹⁸O-NO₃^-为“夏季>秋季”,涨潮期则相反.同季节的NO₃^-及其同位素总体呈“涨潮期>落...     

竹林河岸带土壤反硝化脱氮效果模拟及机理研究

以太湖流域上游南苕溪流域农业区竹林河岸带土壤为研究对象,采用乙炔抑制法研究不同外源硝态氮（NO₃^--N）添加量(模拟添加NO₃^--N浓度分别为0、5和10 mg·L^-1的污水,分别用N0、N5和N10处理表示)对不同离水距离（0～3、3～6、6～12 m）、不同深度（0～10、10～20、20～40 cm）土壤反硝化速率的影响.结果表明,N0、N5和N10处理的土壤72 h内的反硝化速率均值分别为59.65、163.56和295.81μg·kg^-1·h^-1,不同处理间差异显著.N5和N10处理的土壤对外源NO₃^--N的脱氮率均值分别为0.45和0.51,且N5处理显著低于N10处理;土壤反硝化速率和对外源NO₃^--N脱氮率均随NO₃^--N添加量的增大而增加.土壤反硝化速率随离水距离的增加而降低,表层土壤的...     

全球价值链视角下中国农产品贸易隐含氮、磷、钾研究

基于GTAP数据库提供的多区域投入产出表,采用全球价值链方法测算中国农产品贸易中隐含的化肥转移,并按照农产品最终消费的地理位置将其分解为四部分。研究发现：（1）中国农产品进口为国内节约640万t化肥（占我国化肥用量的13%）,同时引起全球化肥用量节约285万t,为缓解全球资源和环境压力做出贡献;（2）中国农产品贸易深度参与全球价值链,进口农产品中隐含的化肥有12%会再次出口到全球,意味着农产品贸易背后隐含的资源到达中国后会再次出口,形成多次跨境转移。建议在全球价值链视角下更为客观地估算农产品贸易隐含的化肥及其他资源环境问题,倡导共同承担贸易引致的资源环境问题。     

Streamflow Depletion Modeling: Methods for an Adaptable and Conjunctive Water Management Decision Support Tool

Groundwater pumping depletes streamflow, which can have significant ecological impacts depending on the magnitude of depletion relative to environmental flow needs. Streamflow depletion estimates from groundwater pumping have been quantified using both analytical and numerical methods, but are not routinely compared to environmental flow needs or used in practical water management tools. Decision support tools that incorporate groundwater dynamics are becoming increasingly necessary for water managers as groundwater regulations become more important in environmental policy, particularly concerning the preservation of environmental flow needs. We develop and apply methods for a web‐based decision support tool for conjunctive groundwater and surface water management, demonstrated using a case study watershed in British Columbia, Canada. Open‐source data are analyzed with a combination of spatial algorithms and previously developed analytical models, such that the tool can be applied to other regions. Streamflow depletion estimates are calculated in four regions in the largely undeveloped Bulkley Valley, British Columbia. Our transparent methodology has geographic and data input flexibility which is a significant improvement on currently existing water management tool methods.     

Calculating Field‐Scale Evapotranspiration with Closed‐Chamber and Remote Sensing Methods

Currently, there is no agreed upon method for estimating evapotranspiration (ET) across large regions such as the state of New Mexico. Remote sensing methods have potential for providing a solution, but require validation. A comparison between field‐scale ET measurements using a portable chamber ET measurement device and modeled ET using the remote sensing Regional Evapotranspiration Estimation Model (REEM) was performed where the model had not been previously evaluated. Data were collected during the growing season of 2015 in three irrigated agricultural valleys of northern New Mexico in agricultural and nonagricultural settings. No statistically significant difference was observed in agricultural datasets between means of measured (M = 3.7 mm/day, SE = 0.31 mm/day) and modeled (M = 4.0 mm/day, SE = 0.01 mm/day) daily ET; t(17) = ?1.50, p = 0.15, α = 0.05. As there was no statistical difference observed between agricultural datasets, results support the use of REEM in irrigated agricultural areas of northern New Mexico. A statistically significant difference was observed in nonagricultural datasets between means of measured (M = 1.7 mm/day, SE = 0.22 mm/day) and modeled (M = 0.0 mm/day, SE = 0.00 mm/day) daily ET; t(9) = 1.79, p = 5.7 × 10^?6, α = 0.05. With additional calibrations and air temperature sensors placed outside of agricultural areas, REEM may be suitable for use in nonagricultural areas of northern New Mexico.