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1.
将湖泊水体的营养状态看作一个灰色系统,建立用于识别湖泊营养状态属性的灰色聚类综合评价模型,将水质级别作为一个灰类,水质状态作为灰色变量,根据灰色白化权函数聚类方法来确定水体营养状况归类。以太湖为例,基于分布全湖的20个监测点数据,运用灰色聚类法对其进行富营养状态综合评价,结果表明,监测时段太湖大部分水体基本处于中营养水平,局部湖面达到中度富营养状态,客观地反映了太湖湖区水体营养状况。  相似文献   

2.
现行的大气环境质量评价方法,除沿用的综合指数法和目前较流行的模糊综合评价法外,最近又出现了基于灰色系统理论的灰色聚类法.灰色聚类基于环境质量系统的灰色性,考虑了多项因子对环境质量的综合影响,因而信息损失少,评价精度较高.为更客观地反映环境质量和污染状况,使大气环境质量评价方法更加丰富、科学,本文试从灰色系统理论的另一个基本方法——灰色关联分析入手来探讨灰色系统理论在大气环境质量评价中的应用.  相似文献   

3.
灰色聚类法在大气环境评价中的应用及与其它方法的比较   总被引:15,自引:1,他引:15  
髟灰色聚类法对乌市和昌吉市的大气环境质量进行了评价,并就污染因子的权重问题与其它评价方法进行了比较,指出了其它方法处理权重的局限性和不合理性,肯定了灰色聚类法对要权重的处理方法。  相似文献   

4.
灰色关联分析法在水质评价中的应用   总被引:1,自引:0,他引:1  
提出了等标分极标准的概念,进而利用等标分级标准和待评价水质样本各组分等标污染指数作灰色关联分析,得到一组待评价水质样本对于各级等标分极标准的关联度,按关联度最大将待评价的水质样本归入相应的水质级别中,用该方法对新疆某水库水质进行了评价,通过与模糊综合评判法和灰色聚类法评价结果对比发现:用灰色关联分析法评价水质,既具有模糊综合评判法和灰色聚类法的优点,又弥补了其不完善之处,评价结果比较符合实际状况,且更具有可比性。  相似文献   

5.
环境质量评价中若干评价方法的比较   总被引:12,自引:2,他引:10  
探讨了目前用于环境质量评价的若干方法--模糊综合评判法,灰色聚类法,灰关联分析方法及改进形式,物元分析方法及改进形式的共点与异点,指出要推求一种适合环境质量评价实际的方法尚有大量工作要做。  相似文献   

6.
为了了解小秦岭金矿区的地质环境,选用目前应用广泛的物元评价法、模糊数学评价法、灰色聚类评价法建立了地质环境评价模型,对小秦岭金矿区的地质环境进行了综合评价,结果表明,该地区的地质环境整体较好,局部地区已经严重恶化,同时,结合该地区的实际情况,提出了改善该地区地质环境质量的具体意见。  相似文献   

7.
土壤重金属污染的灰色模糊评价   总被引:14,自引:1,他引:14  
以灰色聚类为基础,提出了灰色模糊聚类分析法,并将其应用于土壤环境质量评价中,经实例分析表明,这是一种较为简便,合理、有效的评价方法。  相似文献   

8.
用灰色聚类法对荔湾湖水质富营养化程度的评价   总被引:37,自引:2,他引:37  
灰色聚类法把湖泊系统当作一个灰色系统来研究,将灰色聚类理论应用于湖泊富营养化程度的评价中,以广州市荔湾湖为例,建立不同的聚类指标所拥有的隶属函数,确定聚类权重值,求得最大聚类系数及聚类结果,得出用灰色聚类法进行湖泊水质富营养化评价,既能体现水质等级界线的模糊性,又能充分利用信息,避免了模糊数学法的不合理之处。因而,灰色聚类法是一种简便、客观、可靠的方法。  相似文献   

9.
结合评价应用实例,论述了利用灰色聚类进行环境质量评价的可行性。  相似文献   

10.
生态质量综合评价的投影寻踪动态聚类方法   总被引:1,自引:0,他引:1  
依据动态聚类思想,建立了投影寻踪动态聚类模型.并将该方法用于甘肃省生态环境质量综合评价中.与投影寻踪聚类方法相比,投影寻踪动态聚类方法不但可以作出环境质量的综合评价,而且消除了投影寻踪聚类方法中密度窗宽确定的人为因素,把寻优过程和聚类结果有机结合起来,为生态环境质量综合评价的研究开创了一条新途径.  相似文献   

11.
The purpose of this research is to establish an environmental management zoning for coal mining industry which is served as a basis for making environmental management policies. Based on the specific impacts of coal mining and regional characteristics of environment and resources, the ecological impact, water resources impact, and arable land impact are chose as the zoning indexes to construct the index system. The ecological sensitivity is graded into three levels of low, medium, and high according to analytical hierarchy processes and gray fixed weight clustering analysis, and the water resources sensitivity is divided into five levels of lower, low, medium, high, and higher according to the weighted sum of sub-indexes, while only the arable land sensitive zone was extracted on the basis of the ratio of arable land to the county or city. By combining the ecological sensitivity zoning and the water resources sensitive zoning and then overlapping the arable-sensitive areas, the mainland China is classified into six types of environmental management zones for coal mining except to the forbidden exploitation areas.  相似文献   

12.
The introduction of anthropogenic sounds into the marine environment can impact some marine mammals. Impacts can be greatly reduced if appropriate mitigation measures and monitoring are implemented. This paper concerns such measures undertaken by Exxon Neftegas Limited, as operator of the Sakhalin-1 Consortium, during the Odoptu 3-D seismic survey conducted during 17 August–9 September 2001. The key environmental issue was protection of the critically endangered western gray whale (Eschrichtius robustus), which feeds in summer and fall primarily in the Piltun feeding area off northeast Sakhalin Island. Existing mitigation and monitoring practices for seismic surveys in other jurisdictions were evaluated to identify best practices for reducing impacts on feeding activity by western gray whales. Two buffer zones were established to protect whales from physical injury or undue disturbance during feeding. A 1 km buffer protected all whales from exposure to levels of sound energy potentially capable of producing physical injury. A 4–5 km buffer was established to avoid displacing western gray whales from feeding areas. Trained Marine Mammal Observers (MMOs) on the seismic ship Nordic Explorer had the authority to shut down the air guns if whales were sighted within these buffers. Additional mitigation measures were also incorporated: Temporal mitigation was provided by rescheduling the program from June–August to August–September to avoid interference with spring arrival of migrating gray whales. The survey area was reduced by 19% to avoid certain waters <20 m deep where feeding whales concentrated and where seismic acquisition was a lower priority. The number of air guns and total volume of the air guns were reduced by about half (from 28 to 14 air guns and from 3,390 in3 to 1,640 in3) relative to initial plans. “Ramp-up” (=“soft-start”) procedures were implemented. Monitoring activities were conducted as needed to implement some mitigation measures, and to assess residual impacts. Aerial and vessel-based surveys determined the distribution of whales before, during and after the seismic survey. Daily aerial reconnaissance helped verify whale-free areas and select the sequence of seismic lines to be surveyed. A scout vessel with MMOs aboard was positioned 4 km shoreward of the active seismic vessel to provide better visual coverage of the 4–5 km buffer and to help define the inshore edge of the 4–5 km buffer. A second scout vessel remained near the seismic vessel. Shore-based observers determined whale numbers, distribution, and behavior during and after the seismic survey. Acoustic monitoring documented received sound levels near and in the main whale feeding area. Statistical analyses of aerial survey data indicated that about 5–10 gray whales moved away from waters near (inshore of) the seismic survey during seismic operations. They shifted into the core gray whale feeding area farther south, and the proportion of gray whales observed feeding did not change over the study period. Five shutdowns of the air guns were invoked for gray whales seen within or near the buffer. A previously unknown gray whale feeding area (the Offshore feeding area) was discovered south and offshore from the nearshore Piltun feeding area. The Offshore area has subsequently been shown to be used by feeding gray whales during several years when no anthropogenic activity occurred near the Piltun feeding area. Shore-based counts indicated that whales continued to feed inshore of the Odoptu block throughout the seismic survey, with no significant correlation between gray whale abundance and seismic activity. Average values of most behavioral parameters were similar to those without seismic surveys. Univariate analysis showed no correlation between seismic sound levels and any behavioral parameter. Multiple regression analyses indicated that, after allowance for environmental covariates, 5 of 11 behavioral parameters were statistically correlated with estimated seismic survey-related variables; 6 of 11 behavioral parameters were not statistically correlated with seismic survey-related variables. Behavioral parameters that were correlated with seismic variables were transient and within the range of variation attributable to environmental effects. Acoustic monitoring determined that the 4–5 km buffer zone, in conjunction with reduction of the air gun array to 14 guns and 1,640 in3, was effective in limiting sound exposure. Within the Piltun feeding area, these mitigation measures were designed to insure that western gray whales were not exposed to received levels exceeding the 163 dB re 1 μPa (rms) threshold. This was among the most complex and intensive mitigation programs ever conducted for any marine mammal. It provided valuable new information about underwater sounds and gray whale responses during a nearshore seismic program that will be useful in planning future work. Overall, the efforts in 2001 were successful in reducing impacts to levels tolerable by western gray whales. Research in 2002–2005 suggested no biologically significant or population-level impacts of the 2001 seismic survey. M. W. Newcomer is deceased.  相似文献   

13.
以中山市岐江河近7年的高锰酸盐指数监测数据为基础,采用灰色系统理论中的预测方法,建立了岐江河高锰酸盐指数的灰色预测模型.用该模型预测岐江河2003年、2004年、2005年高锰酸盐指数的值分别为4.8、4.7和5.3.  相似文献   

14.
Exxon Neftegas Limited, operator of the Sakhalin-1 consortium, is developing oil and gas reserves on the continental shelf off northeast Sakhalin Island, Russia. DalMorNefteGeofizika (DMNG), on behalf of the Sakhalin-1 consortium, conducted a 3-D seismic survey of the Odoptu license area during 17 August–9 September 2001. A portion of the primary known feeding area of the endangered western gray whale (Eschrichtius robustus) is located adjacent to the seismic block. The data presented here were collected as part of daily monitoring to determine if there was any measurable effect of the seismic survey on the distribution and abundance of western gray whales. Mitigation and monitoring program included aerial surveys conducted between 19 July and 19 November using the methodology outlined by the Southern California High Energy Seismic Survey team (HESS). These surveys provided documentation of the distribution, abundance and bottom feeding activity of western gray whales in relation to seismic survey sounds. From an operations perspective, the aerial surveys provided near real-time data on the location of whales in and outside the feeding area, and documented whether whales were displaced out of an area normally used as feeding habitat. The objectives of this study were to assess (a) temporal changes in the distribution and abundance of gray whales in relation to seismic survey, and (b) the influence of seismic survey, environmental factors, and other variables on the distribution and abundance of gray whales within their preferred feeding area adjacent to Piltun Bay. Multiple regression analysis revealed a limited redistribution of gray whales southward within the Piltun feeding area when the seismic survey was fully operational. A total of five environmental and other variables unrelated to seismic survey (date and proxies of depth, sea state and visibility) and one seismic survey-related variable (seg3d, i.e., received sound energy accumulated over 3 days) had statistically significant effects on the distribution and abundance of gray whales. The distribution of two to four gray whales observed on the surface (i.e., about five to ten whales in total) has likely been affected by the seismic survey. However, the total number of gray whales observed within the Piltun feeding area remained stable during the seismic survey. M. W. Newcomer, Deceased.  相似文献   

15.
建立了微波消解-火焰原子吸收光谱法测定土壤中锶的方法.用微波消解土壤、电热板加热赶酸的方法对土壤样品进行前处理,优化了微波消解条件.检出限为3.0 mg/kg,加标回收率为84.7% ~ 107%,相对标准偏差均小于5%.方法快速、简便、准确度高、线性范围宽.  相似文献   

16.
分光光度法测定染色废水的色度   总被引:3,自引:0,他引:3  
为消除测定染色废水色度的主观误差,采用分光光度法测定染色废水的色度,与稀释倍数法相比,具有精确,重现性好,适用范围广等特点,PH值对色度的测定有明显影响,控制PH值为7.60,测定色度具有可比性。  相似文献   

17.
基于MATLAB的灰色模型在广州市降尘预测中的应用   总被引:2,自引:0,他引:2  
用MATLAB语言将灰色系统理论中的GM(1,1)模型,从建模到模型的检验过程编制成一个普适程序。将该程序应用于广州市降尘量的预测分析,结果令人满意。  相似文献   

18.
A 3D marine seismic survey of the Odoptu license area off northeastern Sakhalin Island, Russia, was conducted by DalMorNefteGeofizika (DMNG) on behalf of Exxon Neftegas Limited and the Sakhalin-1 consortium during mid-August through early September 2001. The key environmental issue identified in an environmental impact assessment was protection of the critically endangered western gray whale (Eschrichtius robustus), which spends the summer–fall open water period feeding off northeast Sakhalin Island in close proximity to the seismic survey area. Seismic mitigation and monitoring guidelines and recommendations were developed and implemented to reduce impacts on the feeding activity of western gray whales. Results of the acoustic monitoring program indicated that the noise monitoring and mitigation program was successful in reducing exposure of feeding western gray whales to seismic noise.  相似文献   

19.
Exxon Neftegas Limited, as operator of the Sakhalin-1 consortium, is developing oil and gas reserves on the continental shelf off northeast Sakhalin Island, Russia. DalMorNefteGeofizika (DMNG) on behalf of the Sakhalin-1 consortium conducted a 3-D seismic survey of the Odoptu license area during 17 August–9 September 2001. A portion of the primary feeding area of the endangered western gray whale (Eschrichtius robustus) is located in the vicinity of the seismic survey. This paper presents data to assess whether western gray whale bottom feeding activity, as indicated by visible mud plumes, was affected by seismic operations. The mitigation and monitoring program associated with the seismic survey included aerial surveys during 19 July–19 November 2001. These aerial surveys documented the local and regional distribution, abundance, and bottom feeding activity of western gray whales. Data on gray whale feeding activity before, during and after the seismic survey were collected, with the whales assumed to be feeding on the benthos if mud plumes were observed on the surface. The data were used to assess the influence of seismic survey and other factors (including environmental) on feeding activity of western gray whales. A stepwise multiple regression analysis failed to find a statistically significant effect (α = 0.05) of the seismic survey on frequency of occurrence of mud plumes of western gray whales used as a proxy to evaluate bottom feeding activity in Piltun feeding area. The regression indicated that transect number (a proxy for water depth, related to distance from shore) and swell height (a proxy for sea state) were the only variables that had a significant effect on frequency of whale mud plumes. It is concluded that the 2001 seismic survey had no measurable effect (α = 0.05) on bottom feeding activity of western gray whales off Sakhalin Island. M.W. Newcomer, deceased  相似文献   

20.
In 2001–2003, >60,000 km of aerial surveys and 7,700 km of vessel surveys were conducted during June to November when critically endangered Korean–Okhotsk or western gray whales (Eschrichtius robustus) were present off the northeast coast of Sakhalin Island, Russia. Results of surveys in all years indicated gray whales occurred in predominantly two areas, (1) adjacent to Piltun Bay, and (2) offshore from Chayvo Bay, hereafter referred to as the Piltun and offshore feeding areas. In the Piltun feeding area, the majority of whales were observed in waters shallower than 20 m and were distributed from several hundred meters to ∼ 5 km from the shoreline. In the offshore feeding area during all years, the distribution of gray whales extended from southwest to northeast in waters 30–65 m in depth. During all years, the distribution and abundance of whales changed in both the Piltun and offshore feeding areas, and both north–south and inshore–offshore movements were documented within and between feeding seasons. The discovery of a significant number of whales feeding in the offshore area each year was a substantial finding of this study and raises questions regarding western gray whale abundance and population levels, feeding behavior and ecology, and individual site-fidelity. Fluctuations in the number of whales observed within the Piltun and offshore feeding areas and few sightings outside of these two areas indicate that gray whales move between the Piltun and offshore feeding areas during their summer–fall feeding season. Seasonal shifts in the distribution and abundance of gray whales between and within both the Piltun and offshore feeding areas are thought, in part, to be a response to seasonal changes in the distribution and abundance of prey. However, the mechanism driving the movements of whales along the northeast coast of Sakhalin Island is likely very complex and influenced by a multitude of factors. *Deceased  相似文献   

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