采用Dolphin技术治理河道水质的探索

介绍了Dolphin技术的原理、特点,采用该技术对河道水处理后,水质有很大的改变,水体能见度明显提高,臭味被遏制,藻类显著减少,而且无污泥和异味,对氨氮和高锰酸钾指数的去除率均在50%左右。     

安徽茶园土壤氟在茶树体内的富集与转运特征

研究了安徽宣城、六安和合肥茶区不同茶园土壤氟含量及在茶树体内的富集与转运特征,探讨了茶树根际和非根际土壤氟的有效性特征及其在茶树体内的累积规律.结果表明,安徽省典型茶园表层土壤全氟含量为：六安黄棕壤（319.7 mg.kg^-1）〉宣城黄红壤（316.6 mg.kg^-1）〉合肥黄褐土（311.3 mg.kg^-1）,...     

Fiscal spending and the environment: Theory and empirics

During economic crises, governments often increase fiscal spending to stimulate the economy. While the fiscal spending surge may be temporary, spending composition is often altered in favor of expenditures on social programs and other public goods which may persist over time. We model and measure the impact of fiscal spending patterns on the environment. The model predicts that a reallocation of government spending composition towards social and public goods reduces pollution. However, increasing total government spending without altering its composition does not reduce pollution. We empirically test these predictions for air and water pollutants showing that they are fully supported.     

Spatially distributed modeling of the long-term carbon balance of a boreal landscape

Spatially and temporally distributed information on the sizes of biomass carbon (C) pools (BCPs) and soil C pools (SCPs) is vital for improving our understanding of biosphere-atmosphere C fluxes. Because the sizes of C pools result from the integrated effects of primary production, age-effects, changes in climate, atmospheric CO₂ concentration, N deposition, and disturbances, a modeling scheme that interactively considers these processes is important. We used the InTEC model, driven by various spatio-temporal datasets to simulate the long-term C-balance in a boreal landscape in eastern Canada. Our results suggested that in this boreal landscape, mature coniferous stands had stabilized their productivity and fluctuated as a weak C-sink or C-source depending on the interannual variations in hydrometeorological factors. Disturbed deciduous stands were larger C-sinks (NEP₂₀₀₄ = 150 gC m⁻² yr⁻¹) than undisturbed coniferous stands (e.g. NEP₂₀₀₄ = 8 gC m⁻² yr⁻¹). Wetlands had lower NPP but showed temporally consistent C accumulation patterns. The simulated spatio-temporal patterns of BCPs and SCPs were unique and reflected the integrated effects of climate, plant growth and atmospheric chemistry besides the inherent properties of the C pool themselves. The simulated BCPs and SCPs generally compared well with the biometric estimates (BCPs: r = 0.86, SCPs: r = 0.84). The largest BCP biases were found in recently disturbed stands and the largest SCP biases were seen in locations where moss necro-masses were abundant. Reconstructing C pools and C fluxes in the ecosystem in such a spatio-temporal manner could help reduce the uncertainties in our understanding of terrestrial C-cycle.     

Integrating soil carbon cycling with that of nitrogen and phosphorus in the watershed model SWAT: Theory and model testing

In this paper we describe and test a sub-model that integrates the cycling of carbon (C), nitrogen (N) and phosphorus (P) in the Soil Water Assessment Tool (SWAT) watershed model. The core of the sub-model is a multi-layer, one-pool soil organic carbon (S_C) algorithm, in which the decomposition rate of S_C and input rate to S_C (through decomposition and humification of residues) depend on the current size of S_C. The organic N and P fluxes are coupled to that of C and depend on the available mineral N and P, and the C:N and N:P ratios of the decomposing pools. Tillage explicitly affects the soil organic matter turnover rate through tool-specific coefficients. Unlike most models, the turnover of soil organic matter does not follow first order kinetics. Each soil layer has a specific maximum capacity to accumulate C or C saturation (S_x) that depends on texture and controls the turnover rate. It is shown in an analytical solution that S_x is a parameter with major influence in the model C dynamics. Testing with a 65-yr data set from the dryland wheat growing region in Oregon shows that the model adequately simulates the S_C dynamics in the topsoil (top 0.3 m) for three different treatments. Three key model parameters, the optimal decomposition and humification rates and a factor controlling the effect of soil moisture and temperature on the decomposition rate, showed low uncertainty as determined by generalized likelihood uncertainty estimation. Nonetheless, the parameter set that provided accurate simulations in the topsoil tended to overestimate S_C in the subsoil, suggesting that a mechanism that expresses at depth might not be represented in the current sub-model structure. The explicit integration of C, N, and P fluxes allows for a more cohesive simulation of nutrient cycling in the SWAT model. The sub-model has to be tested in forestland and rangeland in addition to agricultural land, and in diverse soils with extreme properties such high or low pH, an organic horizon, or volcanic soils.     

Knowledge gain and behavioral change in citizen-science programs

Citizen-science programs are often touted as useful for advancing conservation literacy, scientific knowledge, and increasing scientific-reasoning skills among the public. Guidelines for collaboration among scientists and the public are lacking and the extent to which these citizen-science initiatives change behavior is relatively unstudied. Over two years, we studied 82 participants in a three-day program that included education about non-native invasive plants and collection of data on the occurrence of those plants. Volunteers were given background knowledge about invasive plant ecology and trained on a specific protocol for collecting invasive plant data. They then collected data and later gathered as a group to analyze data and discuss responsible environmental behavior with respect to invasive plants. We tested whether participants without experience in plant identification and with little knowledge of invasive plants increased their knowledge of invasive species ecology, participation increased knowledge of scientific methods, and participation affected behavior. Knowledge of invasive plants increased on average 24%, but participation was insufficient to increase understanding of how scientific research is conducted. Participants reported increased ability to recognize invasive plants and increased awareness of effects of invasive plants on the environment, but this translated into little change in behavior regarding invasive plants. Potential conflicts between scientific goals, educational goals, and the motivation of participants must be considered during program design.     

陆生植物化感作用的抑藻研究进展

有效控制水华,治理富营养化水体是目前环境领域的研究热点和前沿。所谓化感物质,就是由植物、细菌、病毒和真菌所产生的二次代谢产物。利用水生植物的化感作用或化感物质抑制水体中藻类的爆发被认为是一种高效、低毒、环境亲合性好的方法而备受关注。然而,对于陆生植物应用于抑制藻类生长的研究却较少。文章在对化感作用的概念的演化、各种生物对藻类化感抑制作用、化感物质抑藻机理等方面进行了较系统的论述,总结了近年来国内外学者对于陆生植物化感作用抑藻的研究进展。文章认为相对于水生植物在抑藻方面的局限性,陆生植物的优势体现在对水生生态系统影响明显（化感作用明显）、所含抑藻化感物质种类丰富、不易受水生生态环境影响等方面,并对今后陆生植物抑藻技术的研究方向进行了展望,陆生植物中尤其是菊科植物化感抑藻应用前景广阔。最后指出,陆生植物的化感抑藻作用研究还存在进一步探索和改进化感物质的提取和鉴定方法、抑藻作用机理的研究、应用实际水体时的生态安全性等方面的问题。     

DNDC模型对川中丘陵区稻田CH_4、N_2O排放的模拟对比分析

利用IKONOS高分辨率（1m）卫星遥感图,进行典型抽样和地形→土地利用→土地覆盖→综合信息提取的方法,选定了代表川中丘陵区类特征的四川省金堂县为研究区域,通过对研究区域中不同固定耕作制度下代表性田块的选取,于2005年5月—2006年5月对田块管理者进行作物田间管理、作物产出等农业生产实际情况调查和分析,进行土壤理化性状、水样的测定,并结合当地的气象资料,利用DNDC模型模拟川中丘陵区不同耕作制度下稻田温室气体的排放情况。结果表明：冬水田-水稻田（PF）水稻生长期CH4排放通量为2.24 kg.hm-2.d-1,占年排放量的80.73%;水稻生长期和冬闲期N2O通量分别为0.033和0.003 6 kg.hm-2.d-1,水稻生长期排放量为4.28 kg.hm-2,占年总排放量的83.59%。CH4和N2O排放量在水稻整个生季节存在明显的互为消长关系。油菜-小麦田（RR）水稻生长期CH4排放通量为1.16 kg.hm-2.d-1,是休闲期的20.71倍,水稻生长期CH4排放量占年排放量的90.48%;水稻生长期和非水稻生长期N2O排放通量分别为0.070和0.027 kg.hm-2.d-1,水稻生长期N2O排放量为8.01 kg.hm-2,占年排放量的54.19%。小麦-水稻田（RW）水稻生长期CH4排放通量为1.24 kg.hm-2.d-1,是休闲期的21.02倍。水稻生长期CH4排放量占年排放量的89.75%;水稻生长期和非水稻生长期N2O排放通量分别为0.089和0.030 kg.hm-2.d-1,水稻生长期N2O排放量为9.61 kg.hm-2,占年排放量的55.23%。PF年CH4排放量是RR和RW的近3倍,且少一季作物产量,应尽量将冬水田改为两季田。     

铜尾矿区9种优势植物体内重金属和氮磷含量研究

以杨山冲铜尾矿废弃地人工覆土上生长的9种优势植物为研究对象,探讨不同植物对尾矿基质中重金属和氮磷的吸收特性以及与基质理化性质之间的关联。土壤样品采集时沿基质垂直方向分为4层：A层（覆土层0~5 cm）、B层（覆土层5~20 cm）、C层（尾砂层20~25 cm）、D层（尾砂层25~40 cm）,植物样品采集时草本植物分地上和地下2部分、木本植物分根、茎和叶3部分采集。结果表明：随着9种植物生长,A层和B层基质理化性质得到明显的改善。主要表现在A层中w（总氮）、w（氨氮）、w（硝氮）、w（有效磷）和w（有机质）显著高于C、D层（P〈0.05）,B层中w（有效态Cu）、w（有效态Zn）显著低于A、C、D层（P〈0.05）。9种优势植物对Cu、Pb、Zn的吸收和积累能力具有明显差异性,其中草本植物以根系积累为主,木本植物以叶片积累为主。草本植物对尾矿基质表现出较强的适应性和耐性,其中毛叶荩草（Arthraxon prionodes）根系中Cu、Pb、Zn的富集量均最大,耐性表现最突出,是较为理想的铜尾矿基质的修复物种。另外,本研究还发现,9种植物体内氮磷质量分数也各不相同,其中木本植物叶中氮磷质量分数均大于根、茎。木本植物体内w（总氮）与w（总磷）、w（Cu）、w（Zn）相关性较好,草本植物体内w（Cu）、w（Pb）、w（Zn）之间相关性较好,表明彼此之间存在一定的促进作用。     

水力割缝增透抽采煤层瓦斯原理及应用

煤层瓦斯抽采是避免煤矿瓦斯灾害发生的根本防治措施,水力割缝技术使煤体在割缝后应力松弛、卸压、破坏、破裂,以成倍或者十几倍地提高煤层的渗透性,继而对煤层瓦斯进行抽采,使瓦斯煤层变为低瓦斯或无瓦斯煤层,从根本上避免瓦斯灾害发生。从水力割缝技术切割煤层致煤层应力变化角度,将理论分析和数值模拟方法相结合,根据渗流力学平面径向流理论,分析给出水力割缝技术增透抽采瓦斯原理。以兖州东滩矿3号煤层为例,分析采用水力割缝技术前后煤层应力变化、渗透率变化规律。结果表明:大面积割缝后,应力重新分布,由均匀状态转变为非均匀状态分布,水平缝使煤层卸压,煤层应力普遍降低,在缝上部煤层局部形成拉应力区。割缝后渗透率是割缝前的4.34倍,渗透率大幅度增加,从而提高瓦斯抽采速度和最终抽采率。