围网养殖对洪湖水质的影响分析

文章从围网养殖对洪湖水质影响的角度出发,依据1990～2006年在洪湖实测的水质数据分析了洪湖水质的时空变化过程及趋势,并发现水质指标中总氮的超标量变化明显。利用环境污染综合指数法,通过围网内和围网外以及围网前和围网后不同水文期的水质情况对比,对洪湖水质变化进行综合评价。结果表明围网内的环境污染综合指数在枯水期要远大于围网外的,围网养殖对湖泊的局部污染严重;围网前水质基本可以达到Ⅱ类水质标准,开始围网后洪湖水质逐步恶化,且围网养殖面积与水质恶化的程度有着相同的变化趋势,总氮的含量变化尤为明显,随着围网养殖规模面积的扩大急速增加。     

稻田环境与除草剂去草胺降解速率的关系

在稻田自然环境中,去草胺乳油和颗粒剂的残留半衰期,在田水中分别为1.65—2.84d和5.78—6.30d,在土壤中分别为2.67—5.33d和4.95—6.30d.经过水稻一个生育期,去草胺在糙米等样品中的最终残留量均降至可检水平以下.土壤微生物对去草胺的降解起着主导性的作用,在灭菌和不灭菌土壤中的残留半衰期分别为433d和18.50—29.40d.去草胶在涂土等四类不同属性的土壤中的渗漏性大小顺序,依次为涂土、小粉土、青紫泥和红壤.     

电镀企业竣工环保验收监测及后续监管中存在问题探讨

结合电镀企业竣工环保验收监测工作实践,对单位产品基准排水量和排气量的计算和评价,电镀标准中对污染物处理设施排气量的规定,第一类污染物在不同采样点评价标准的选择,重金属排放总量计算以及后续电镀企业废水、废气、污泥监管中存在的问题进行了探讨,并提出了相应的建议。     

洱海地面水环境监测优化布点研究

根据１９８７年以后五年洱海水质监测数据的数理统计分析，选择污染指数大的ｐＨ、ＣＯＤ＿（Ｍｎ）、ＢＯＤ＿５、Ｔ－Ｎ、Ｔ－Ｐ进行单项方差分析，进而再进行灰色关联聚类分析和年际相关分析，确知洱海三个水质监测断面可归于一类。考虑水下地形、湖流、环湖工农业布局，水质监测点优化为两个即可保证其准确性、可控性和代表性。     

日本关东南部冬季飘尘中有机碳和元素碳污染现状研究

气溶胶中常含有一定的碳化合物,其中最主要的为有机碳(OC)和元素碳(EC),它们主要来源于化石燃料燃烧等人为活动,并强烈地影响着气溶胶的污染性质。日本关东平原南部初冬季节常发生高浓度飘尘污染,在对这种污染现象的研究中分析了OC和EC在飘尘中的含量,结果表明OC和EC是飘尘中重要的组成部分,二者之和可占质量浓度的20%左右,这也从一个侧面揭示了飘尘的污染状况和污染来源。      

荧光法快速测定浮游植物以及应用于梅梁湖预警监测可行性探讨

YSI 6600-V2多功能水质自动监测仪采用荧光原理快速测定水体中浮游植物蓝绿藻的密度,梅梁湖夏季水华高发期时,湖体中的浮游植物几乎全部是蓝绿藻。传统的浮游植物监测前处理方面就需要24~48 h,最终要数天后才有镜检结果,导致浮游植物数据滞后,不能很好的应用到预警监测中。通过比对相关性验证,保证荧光法数据的可信度,提高工作效率,为预警监测提供有力的支持。     

Centrifugal study of zone of influence during air-sparging

Air sparging (AS) is one of the groundwater remediation techniques for remediating volatile organic compounds (VOCs) in saturated soil. However, in spite of the success of air sparging as a remediation technique for the cleanup of contaminated soils, to date, the fundamental mechanisms or the physics of air flow through porous media is not well understood. In this study, centrifugal modeling tests were performed to investigate air flow rates and the evolution of the zone of influence during the air sparging under various g-levels. The test results show that with the increase in sparging pressure the mass flow rate of the air sparging volume increases. The air mass flow rate increases linearly with the effective sparging pressure ratio, which is the difference between sparging pressure and hydrostatic pressure normalized with respect to the effective overburden pressure at the sparging point. Also the slope of mass flow rate with effective sparging pressure ratio increases with higher g-levels. This variation of the slope of mass flow rate of air sparging volume versus effective sparging pressure ratio, M, is linear with g-level confirming that the air flow through soil for a given effective sparging pressure ratio only depends on the g-level. The test results also show that with increasing sparging pressure, the zone of influence (ZOI), which consists of the width at the tip of the cone or lateral intrusion and the cone angle, will lead to an increase in both lateral intrusion and the cone angle. With a further increase in air injection pressure, the cone angle reaches a constant value while the lateral intrusion becomes the main contributor to the enlargement of the ZOI. However, beyond a certain value of effective sparging pressure ratio, there is no further enlargement of the ZOI.     

Assessment of spatial distribution of soil loss over the upper basin of Miyun reservoir in China based on RS and GIS techniques

Soil conservation planning often requires estimates of the spatial distribution of soil erosion at a catchment or regional scale. This paper applied the Revised Universal Soil Loss Equation (RUSLE) to investigate the spatial distribution of annual soil loss over the upper basin of Miyun reservoir in China. Among the soil erosion factors, which are rainfall erosivity (R), soil erodibility (K), slope length (L), slope steepness (S), vegetation cover (C), and support practice factor (P), the vegetative cover or C factor, which represents the effects of vegetation canopy and ground covers in reducing soil loss, has been one of the most difficult to estimate over broad geographic areas. In this paper, the C factor was estimated based on back propagation neural network and the results were compared with the values measured in the field. The correlation coefficient (r) obtained was 0.929. Then the C factor and the other factors were used as the input to RUSLE model. By integrating the six factor maps in geographical information system (GIS) through pixel-based computing, the spatial distribution of soil loss over the upper basin of Miyun reservoir was obtained. The results showed that the annual average soil loss for the upper basin of Miyun reservoir was 9.86 t ha(-1) ya(-1) in 2005, and the area of 46.61 km(2) (0.3%) experiences extremely severe erosion risk, which needs suitable conservation measures to be adopted on a priority basis. The spatial distribution of erosion risk classes was 66.9% very low, 21.89% low, 6.18% moderate, 2.89% severe, and 1.84% very severe. Thus, by using RUSLE in a GIS environment, the spatial distribution of water erosion can be obtained and the regions which susceptible to water erosion and need immediate soil conservation planning and application over the upper watershed of Miyun reservoir in China can be identified.     

COD/SO_4~(2-)值对硫酸盐还原率的影响

研究利用 UASB反应器考察了 COD和硫酸盐浓度的比值对硫酸盐还原的影响 ,同时分析了硫酸盐还原菌和产甲烷菌对COD的竞争情况 .发现在 HRT为 3.8h,SO2 -4 负荷为 6～ 7kg· ( m3· d) - 1 ,SO2 -4 浓度为 1 0 0 0 mg· L- 1 条件下 :1在 COD不足时 ,SRB与 MPB在竞争中占微弱优势 ;对于产甲烷活性比较好的厌氧污泥要经过较长的时间 ,SRB才能确立优势菌种的地位 .2 COD/ SO2 -4 比值决定了 SO2 -4 的去除率 .比值等于 2时 ,SO2 -4 的还原率在 95%以上 ;当比值为 1 .5时 ,SO2 -4 还原率为 75% ;当比值为 1时 ,SO2 -4 的还原率为 60 % .