基于GIS的近岸海域水环境时空分析
详细信息    本馆镜像全文|  推荐本文 |  |   获取CNKI官网全文
摘要
近岸海域是陆地、海洋和大气之间各种过程相互作用最活跃的界面,这里的环境和生态系统受到来自陆地和海洋双重作用的影响,它们对于大范围内各种自然过程变化所引起的波动和人类活动的影响十分敏感,生态系统相当脆弱。
     目前,随经济的发展,海洋资源无序开发,浅海近岸无计划占用,同时经济发展带来大量的“三废”物质倾入海洋,使近岸水域的水质变差,海洋污染灾害不断发生,海洋资源和海洋生态破坏日益严重。为此,研究近岸海域水环境问题具有重要意义。
     因海水具有动态变化特点,而且水环境总是处于不断变化的时空之中,因此研究水环境动态也必须同时考虑时间和空间这两个方面,对水环境动态进行时空一体化研究是水环境研究的必然趋势。对近岸海域水环境时空分析,可以在时间和空间上把握水环境要素的分布与变化情况,发现水环境的变化规律,同时也可为政府提供重要决策信息。
     时空信息的认知,时空信息表达、解释与反演,地理数据模型与信息机理的研究;地学知识发现,地学信息图谱、地图语言与认知,地理信息模型等地学信息时空分析与模型研究等,已成为当前地球信息科学主要研究领域。
     地理信息系统具有对时空信息的综合处理能力、对现实世界的模拟能力,并能产生和发现新的信息,为区域开发和宏观决策服务。目前GIS的空间分析功能偏弱己成为业界的共识,这一弱点也严重地阻碍了GIS作为空间数据分析和研究工具的使用。GIS由空间分析向时空分析领域拓展,GIS与时空分析模型高度融合的时空决策集成平台,是目前人们关注的热点课题。由于时空数据库的复杂性,对它的研究目前仍处于理论阶段,尚无成熟的商品化软件平台问世,故建立在其上的时空分析进展缓慢。另一方面,GIS应用的相关领域都已有了许多具有实用价值的应用分析模型,这些模型为空间辅助管理决策提供了强有力的支持。然而,这些模型一般都缺乏友好的交互界面,模型的分析结果不形象、不直观。相反,GIS在人机交互、可视化等方面则具备强大的功能。鉴于此,将专业应用模型集成到GIS系统中不仅能增强GIS的分析功能,同时也能
Inshore water is the most active contact zone of mutual affecting between the land, the sea and the atmosphere, where environment and ecosystem are influenced by both the land and the sea. It is extremely sensitive to the disturbances caused by nature and human being because of its frail ecosystem.With the economical development, the marine resource is exploited disorderly, the epicontinental sea near bank is utilized without plan, the matter called "the three wastes" is massively plunged to the sea, which result in the deterioration of water quality, the occurrence of polluting disaster and the increasing devastation of marine ecosystem. Therefore, it is very significant to study the water environment in the near bank water.Due to the seawater's character of flowing and the dynamic property of water environment, it is often sensible to take both time and space into consideration when study on the seawater quality. And it becomes an inevitable trend to study the integration of space and time for the dynamic water environment.The spatial-temporal analysis of nearshore water environment could help understand the distribution and change of water pollutants, identify the dynamics of water environment and provide government scientific information for policy making.The geographic information system has powerful capacity to handle space-time information, simulate the real world, and produce the new information, which could be used to serve for the region development and the macroscopic decision-making.The cognition, expression, explanation, and etc. of space-time information, and the excavation of the geographical knowledge are the main research areas for the spatial information science. At present, the weakness of spatial analysis function of the GIS has received the mutual agreements, and it is an obstacle to analyze the space data and to be used as a study tool. The spatial analysis of GIS turns to spatial-temporal analysis is a hot topic in recent year. The research about the space-time database is still at the theory stage because of its complexity, and no
    mature commercialized software platform has been published until today, therefore the progress of study the space-time analysis that based on the space-time database is slowly. On the other hand, there are many applied analysis models these have common applied domains with GIS, these models have provided the powerful support for the decision-making. However, most of these models lack of friendly interface, and their analysis results are difficult to present in a vividly way. On the contrary, GIS has powerful function on the aspect of man-machine alternation, visibility and so on. In view of this, to integrate the specialized models with the GIS system not only can strengthen the analysis function of GIS, but also enhance the repetition using rate of specialized model. To realize the seamless integration between the application model and GIS and excavate the application of GIS in various domains have been attented by many scholars and experts.Looked from the present research of temporal-spatial analysis about water environment, the main technology and method includes: mathematical statistic, geographic information system, water quality model, remote sensing; the integration of mathematical statistic and geographic information system, the integration of water quality model and geographic information system, the integration of remote sensing and geographic information system, and so on.At present, the problem in studying as follows: (a) the pattern of temporal-spatial analysis for the nearshore water environment has not been systemically studied; (b) in general, one kind of or two kinds of technologies are used to analyze the temporal-spatial of water environment, but a few of researchers study the temporal-spatial of water environment by establishing an integration system about temporal-spatial analysis, at present, there isn't a complete integration system that combine many kinds of analyses tools.From this, this paper proposed an analysis pattern of temporal-spatial about the nearshore water environment based on the region geography theory, the information analysis theory, the spatial analysis theory, and the characteristic of the nearshore water environment, etc. According to the research characteristic of temporal-spatial analysis of water environment, the author established an integrated system of
    temporal-spatial analysis, and applied the temporal-spatial analysis pattern to analyze the space-time distribution of main factors that affect the water environment in the Pearl River estuary and its adjacent areas based on the integrated analysis system.Through "proposing the space-time analysis pattern based on the theory and thepractice------establishing an integration system of temporal-spatial analysis------systematically applied research for study area", the main research results as follows:(1) Proposed the temporal-spatial analysis pattern of water environment in the nearshoreThis article studied the temporal-spatial structure of the water environment, and proposed the temporal-spatial analysis pattern of water environment in the nearshore based on the region geography theory, the spatial analysis theory, the information analysis theory, etc.(2) Established an integration system of temporal-spatial analysis based on GISAccording to the temporal-spatial analysis characteristic of nearshore water environment, and the domestic and foreign research results on integrated system, the author established an integration system of temporal-spatial analysis based on GIS in order to analyze the nearshore water environment. The integration system has integrated ArcGIS with SPSS, ERDAS and 3-D Cohesive Sediment Transport model. ArcObjects are used to develop the integration system. Data are saved in Sqlserver and managed by ArcSDE. The integration system can do statistic, analyze, simulate the data, and create report form or the visible graph. The way of integration between ArcGIS and ERDAS was realized by the data interface, so the data can be exchanged and transmitted between the geographic information system and the image analysis system. This kind of integration is independent and parallel, so it can tansfer the result images to the geographic information system after dealt with in the picture processing software, also can transfer the results to the picture processing software after analyzed in the geographic information system.(3) Based on the temporal-spatial analysis pattern and integration system of space-time analysis, the author analyzed the temporal-spatial distribution of main
    factors that affect the water environment in the Pearl River estuary and its adjacent areas, the results are significant and can be used to assist policy-making.The area of the Pearl River estuary and its adjacent areas is broad, and the shape and form of the sea area is dissimilar, the river, the tide and the human activity and so on have great influence on the temporal-spatial distribution of water environment in the nearshore. In addition, the remote sensing image, the water quality monitor data, the water quality model data are the main data sources for water environmental research. In order to make convenient for analysis, the author divided the study areas into three parts according to the shape and form of the sea area, the characteristic of the water environment, data source and so on. The three parts are the Pearl River estuary, Shenzhen bay and Hong Kong waters. The author separately studied the significant distribution of the three parts, and studied the suspend silt in the Pearl River estuary, Dissolved Oxygen, Suspended Solids, 5-day Biochemical Oxygen Demand, Chlorophyll-a, Total Soluble Kjeldahl Nitrogen & Paniculate, Total Inorganic Nitrogen, Total Nitrogen, Total Soluble Phosphorus & Particulate, Phosphate and Silica in the Hong Kong waters, Suspended Solids, current, the water depth in the Shenzhen bay by the methods of the spatial interpolation, buffer, the curve fitting and some other statistical analysis methods.This research achieved the anticipated goal, to analyze the temporal-spatial distribution of main factors that affect the water environment in the Pearl River estuary and its adjacent areas. This study not only obtained vitally significant results, but demonstrated rationality and feasibility of the temporal-spatial analysis pattern and validity of the temporal-spatial analysis integration system, the main contributions of this research are as follows:(1) Proposed the temporal-spatial analysis pattern of water environment based on GIS(2) Established an integration system of temporal-spatial analysis based on GIS(3) Analyzed the temporal-spatial distribution of main factors that affect the waterenvironment in the study areas.(4) The research route that" proposing the temporal-spatial analysis pattern based on
    the theory and the practice------establishing an integration system of temporal-spatialanalysis------systematically applied research for study area", has an importantmethodology significance. It broke through the routine research procedure that study temporal-spatial distribution of water environment because it has the concrete analysis pattern, the operable analysis system and the persuasive research cases
引文
[1] 国家环境保护总局.近岸海域环境功能区管理办法.国家环境保护总局令第8号,1999,12,10
    [2] 国家海洋局.2001年中国海洋环境质量公报.2002年3月
    [3] 王铁民,丁志习.关于近岸海域的开发与管理问题[J].海洋信息,1999,1:5—7
    [4] 马英,李宗品,张福春.加强近岸海域环境监测保证海洋经济持续发展[J].海洋环境科学,1996年5月,第15卷,第2期:57—61
    [5] 陈宗团,江毓武,徐立,王淑红,洪华生.河口及近岸海域环境污染研究动态[J].海洋通报,1997年12月,第16卷,第6期:86—90
    [6] 郑度,陈述彭.地理学研究进展与前沿领域[J].地球科学进展,2001年10月,第16卷第5期:599—606
    [7] 朱欣娟,石美红,薛惠锋,彭文祥.基于GIS的空间分析及其发展研究[J].计算机工程与应用,2002,18:62—63
    [8] 龚敏霞,闾国年,张书亮,陈锁忠.智能化空间决策支持模型库及其支持下GIS与应用分析模型的集成[J].地球信息科学,2002年3月,第1期:91—97
    [9] 林永水,周近明,林秋艳.大鹏湾盐田水域反曲原甲藻数量的时空变化特点[J].热带海洋,1995年11月,第14卷,第4期:77—82
    [10] 万显烈.利用离散点插值扩展法评价大连湾水质状况[J].辽宁城乡环境科技,18卷6期:41—42
    [11] 朱大奎,李海宇,潘少明,尤坤元.深圳湾海底沉积层的研究[J].地理学报,1999年5月,第54卷,第3期:224—231
    [12] 郭劲松,李胜海,龙腾锐.水质模型及其应用研究进展[J].重庆建筑大学学报,2002年4月,第24卷,第2期:109—115
    [13] 沈永明,郑永红,邱大洪.近海水域三维水动力学和水质的精细模型研究[J].云南环境科学,2000年8月,第19卷,增刊:17—20
    [14] 梁文,黎广钊.应用遥感技术分析钦州湾悬沙的动态特征[J].海洋通报,2002年12月,第21卷,第6期:47—51
    [15] 孙效功,方明,黄伟.黄、东海陆架区悬浮体输运的时空变化规律[J].海洋与湖沼,2000年11月,第31卷,第6期:581—587
    [16] 赵庆英,杨世伦,王海波.长江口南槽季节性冲淤变化及其对河流入海水沙响应关系的初步研究[J].上海地质,2001年,增刊:3—6
    [17] 裴相斌,赵冬至.基于GIS—SD的大连湾水污染时空模拟与调控策略研究[J].遥感学报,2000年5月,第4卷,第2期:118—124
    [18] 王庆,杨华,仲少云,杜国云,张云吉,高光辰.山东莱州浅滩的沉积动态与地貌演变[J].地理学报,2003年9月,第58卷,第5期:749—756
    [19] 陈述彭,岳天祥,励惠国.地学信息图谱研究及其应用[J].地理研究,2000年12月,第19卷,第4期:337—343
    [20] 薛安,倪晋仁:,马蔼乃.模型与GIS集成理论初步研究[J].应用基础与工程科学学报,2002年6月,第10卷2期:134—142
    [21] 何庆成.RS和GIS技术集成及其应用[J].水文地质工程地质,2000年,第2期:44—46
    [22] 李德仁.论RS,GPS与GIS集成的定义、理论与关键技术[J].遥感学报,1997年2月,第1卷,第1期:64—68
    [23] 朱欣娟,石美红,薛惠锋,彭文祥.基于GIS的空间分析及其发展研究[J].计算机工程与应用,2002,18:62—63
    [24] 卢泰宏.信息分析[M],1998,广州:中山大学出版社:1—409
    [25] 朱庆华.信息分析:基础、方法及应用[M],2004,北京:科学出版社:1—312
    [26] 秦铁辉,王延飞.信息分析与决策[M],2001,北京:北京大学出版社:1—314
    [27] 查先进.信息分析与预测[M],2000,武汉:武汉大学出版社:1—298
    [28] 韩渊丰,张治勋,赵汝植.区域地理理论与方法[M],1993,西安:陕西师范大学出版社:34—90
    [29] 西安冶金建筑学院,湖南大学.水文学[M].1979,北京:中国建筑工业出版社:1—160
    [30] 姜承吾.水文学[M].1979,台湾:台北中国土木水利工程学会:1—137
    [31] 雒文生.水文学[M].2001,北京:中国建筑工业出版社:1—213
    [32] 罗树孝.水文学辞典[M].1995,台北:茂昌图书有限公司:1100—1145
    [33] 党安荣、贾海峰、易善桢、刘钊.ArcGIS 8 Desktop地理信息系统应用指南[M],2003年3月第1版,北京:清华大学出版社,p1—26
    [34] 刘洪华.基于ArcGIS的海岸带水环境时空统计分析.硕士论文,2004,5
    [35] 陈晓宏,陈永勤,赖国友.珠江口悬浮泥沙迁移数值模拟.海洋学报,2003年3月
    [36] 潘建明,周怀阳,等.夏季珠江口沉积物中营养盐剖面分布和界面交换通量.海洋学报,2002年5月
    [37] 朱小鸽,何执兼,邓明.最近25年珠江口水环境的遥感监测.遥感学报,2001年9月
    [38] 王永勇,沈鸿金.2002年泥沙公报.
    [39] 孙连成.珠江口伶仃洋航道抛泥区泥沙运动规律研究.港口工程,1997,1,7-10
    [40] 林杰斌,陈湘,刘明德.SPSS11统计分析实务设计宝典[M],2002年7月第1版,北京:中国铁道出版社,p1—35
    [41] 党安荣,王晓栋,陈晓峰,张建宝.ERDAS IMAGINE遥感图像处理方法[M],2003年4月第一版,北京:清华大学出版社,p1—7
    [42] 邹山.近岸水流和泥沙的数值模拟及其应用.南京水利科学研究院学位论文,2000,5:1—5
    [43] 毛锋,沈小华,艾丽双.ArcGIS 8开发与实践[M],2002年4月第1版,北京:科学出版社,p25—70
    [44] 张超,陈丙咸,等.地理信息系统[M],1995,北京:高等教育出版社:56—60
    [45] 陈彦光,陈文惠.GIS与地理现象的分形研究[J].东北师大学报自然科学版,1998年,第2期:91—96
    [46] 黄良民,陈清潮,尹健强,温伟英,何悦强,王华祥.珠江口及邻近海域环境动态与基础生物结构初探[J].海洋环境科学,1997年9月,第16卷,第3期:1—7
    [47] 罗万申,谢均宜.从珠江口可持续发展看深圳市污水排海工程的建设[J].环境工程,2001年10月,第19卷,第5期:56—58
    [48] 梁钢华,李枝桂.广东:珠江口“荒漠化”[J].瞭望新闻周刊,2002年9月16日,第38期:14—15
    [49] 林祥伟.地理信息系统与人工智能整合之研究.国立台湾大学地理环境资源研究所博士论文,2003,7月
    [50] 王家耀,魏海平,成毅,熊自明.时空GIS的研究与进展[J].海洋测绘.2004年9月,第 24卷第5期:1-4
    [51] 刘南威,郭有立.综合自然地理学[M].2004,北京:科学出版社:1—177
    [52] 景贵和.综合自然地理学[M].1989,北京:高等教育出版社:1—245
    [53] 邓明,黄伟,李炎.珠江河口悬浮泥沙遥感数据集.海洋与湖沼,2002,33(4),341—348
    [54] 刘小曼.珠江口门海堤堤型的选择.人民珠江,1998,5,39—44
    [55] 王礼育,罗丹.从遥感图像看口门规划治理效果——珠江河口西四口门治理的遥感分析.人民珠江,2000,3,43—46
    [56] 温令平.伶仃洋悬浮泥沙遥感定量分析.水运工程,2001,332(9),9-13
    [57] 陈水森,邹春洋,黎夏.珠江口伶仃洋滩潮变化及演变分析.国土资源遥感,2001,48(2),25-27
    [58] 谢文君,陈君.海洋遥感的应用与展望[J].海洋地质与第四纪地质,2001年8月,第21卷,第3期:123—128
    [59] 王琳,陈上群.深圳湾自然条件特征及治理应注意的问题[J].人民珠江,2001年,第6期:4—7
    [60] 苏姝,林爱文,刘庆华.普通Kriging法在空间内插中的运用[J].江南大学学报(自然科学版),2004年2月,第3卷,第1期:18—21
    [61] 邓峰.KRIGING方法及其在环境科学中的应用[J].重庆环境科学,1990年6月,第12卷,第3期:33—37
    [62] 祝文彬,黄毓瑜,郑小武.Kriging估值技术在“油藏描述”图件绘制中的应用[J].工程图学学报[J],1997年,第2—3期:104—113
    [63] 姚永慧,潘志强,孙英君等.ArcGIS地统计分析实用指南[M].2002年5月,北京中科永生数据科技有限公司,p153—197
    [64] 丁国祥.ArcGIS三维分析实用指南[M].2002年4月,北京中科永生数据科技有限公司,p144—147
    [65] 徐建华.现代地理学中的数学方法[M],2002,北京:高等教育出版社,1—457
    [66] 张成才.GIS空间分析理论与方法[M],2004,武汉:武汉大学出版社,1—161
    [67] Openshaw, S. Neural network, genetic, and fuzzy logic models of spatial interaction, Environment and Planning A,1998,30:1857-1872
    [68] Gahegan, M.,German, G., West,G. Improving neural network performance on the classification of complex geographic datasets, Journal of Geographical Systems,1999,1:3-22
    [69] Zeiler, M.. Modeling our world-The ESRI Guide to Geodatabase Design. Environmental Systems Research Institute, Inc.1999:5-14
    [70] Booth, B., S. Crosier, J. Clark, A. MacDonald, Building a Geodatabase. Environmental Systems Research Institute, Inc.2002:17-48
    [71] ESRI, ArcSDE Configuration and Tuning Guide for Microsoft SQL Server. Environmental Systems Research Institute,Inc.2002:55-68
    [72] Xiao-ling Chen, Zhong-zhi Yuan, Yok Sheung Li, Hong-hua Liu, Ying-zi Hou & Hong Song, Coastal Water Environmental Management and Spatio-Temporal Analysis based on RS/GIS Technology and Statistical Software,the proceedings of the china association for science and technology,2004
    [73] Huang, W.. Satellite remote sensing applications in the Pearl River estuary and Hong Kong coastal waters. M.Sc. Project Report, Hong Kong University of Science and Technology, Hong Kong, 2001
    [74] Li, Y, Huang W., Fang M.. An algorithm for the retrieval of suspended sediment in coastal waters of China from AVHRR data. Continental Shelf Research, 1998, 18,487-500
    [75] Tuncer,G. et al., Land-based sources of pollution along the Black Sea coast of Turkey: concentrations and annual loads to the Black Sea, Marine Pollution Bulletin, 1998,36(6): 409-423
    [76] Al-Kharabsheh, A. and R. Ta'any, Influence of urbanization on water quality deterioration during drought periods at South Jordan, Journal of Arid Environments, 2003,53: 619-630
    [77] Goldar,B. and N. Banerjee, Impact of informal regulation of pollution on water quality in rivers in India,Journal of Environmental Management,2004,73:117-130
    [78] Koukal, etal., Assessment of water quality and toxicity of polluted river Fez and Sebou in the region of Fez (Morocco), Environmental Pollution, 2004,131: 163-172
    [79] Xie, B., Ding, Z., and Wang X., Impact of the intensive shrimp farming on the water quality of the adjacent coastal creeks from Eastern China, Marine Pollution Bulletin, 2004, 48: 543-553
    [80] Norusis, M.J.. SPSS 8.0 Guide to Data Analysis, 1998, Prentice Hall, New Jersey
    [81] Glasgow, H.B. et al., Real-time remote monitoring of water quality: a review of current applications, and advancements in sensor, telemetry, and computing technologies, Journal of Experimental Marine Biology and Ecology, 2004,300: 409-448
    [82] Erkkila,A. and R. Kalliola, Patterns and dynamics of coastal waters in multi-temporal satellite images:support to water quality monitoring in the Archipelago Sea, Finland, Estuarine, Coastal and Shelf Science, 2004,60: 165-177
    [83] Kot-Wasik, A. et al., Monitoring of organic pollutants in coastal waters of the Gulf of Gdansk, Southern Baltic, Marine Pollution Bulletin, 2004,49: 264-276
    [84] Jarvie, H.P., C.Neal and A.D.Tappin, European land-based pollutant loads to the North Sea: an analysis of the Paris Commission data and review of monitoring strategies, The Science of the Total Environment, 1997,194/195: 39-58
    [85] Cheng, H., H. Yang and C.W.Chan, An expert system for decision support of municipal water pollution control, Engineering Application of Artificial Interlligence, 2003, 16: 159-166
    [86] Lake,I.R. et al.,Evaluating factors influencing groundwater vulnerability to nitrate pollution: developing the potential of GIS, Journal of Environmental Management, 2003, 68: 315-328
    [87] Matejicek, L., L. Benesova and J. Tonika, Ecological modelling of nitrate pollution in small river basins by spreadsheets and GIS, Ecological Modelling, 2003,170: 245-263
    [88] Kelsey.H. et al.,Using geographic information systems and regression analysis to evaluate relationships between land use and fecal coliform bacterial pollution, Journal of Experimental Marine Biology and Ecology,2004, 298:197-209
    [89] Su, Overview of the South China Sea circulation and its influence on the coastal physical oceanography outside the Pearl River Estuary, Continental Shelf Research, 2004, 24, 1745-1760
    [90] Morton, B., Wu, S.S., The hydrology of the coastal waters of Hong Kong. Environmental Research, 1975, 10,319-347
    [91] Chan, B.S.S. and Hodgkiss, I.J., Phytoplankton productivity in Tolo Harbour.Asian Marine Biology. 1987, 4, 79-90
    [92] Chiu, M.C., Hodgkiss, I.J. and Chan, B.S.S., Ecological studies of phytoplankton in Tai
     Tam Bay, Hong Kong. Hydrobiologia. 1994, 273, 81-94
    [93] YONG CHEN, SEDIMENT TRANSPORT BY WAVES AND CURRENTS IN THE PEARL RIVER ESTUARY, Ph.D. THE HONG KONG POLYTECHNIC UNTVERSITY,2001
    [94] O. W. H. WAI, Y. CHEN and Y. S. LI, A 3-D WAVE-CURRENT DRIVEN COASTAL SEDIMENT TRANSPORT MODEL[J], Coastal Engineering Journal, 2004, Vol. 46, No. 4: 385-424
    [95] Kadah, Yasser M. .Spatio-temporal analysis of color Doppler information using independent component analysis, Medical Imaging 2002: Ultrasonic Imaging and Signal Processing 2002, v 4687, p 227-234
    [96] Bakhsh, A.; Kanwar, R.S., Spatio-temporal analysis of subsurface drainage flow volumes, American Society of Agricultural Engineers, 2004, v47, n5, p1427-1436
    [97] Huo, Zailin; Shi, Haibin; Chen, Yaxin; Wei, Zhanmin; Qu, Zhongyi, Spatio-temporal variation and dependence analysis of ET_0 in north arid and cold region, Chinese Society of Agricultural Engineering, 2004, v 20, n 6, p 60
    [98] Yazdi, Mehran; Albu, Alexandra Branzan; Bergevin, Robert, Morphological analysis of spatio-temporal patterns for the segmentation of cyclic human activities, Proceedings of the 17th International Conference on Pattern Recognition, ICPR 2004, v4, p240-243
    [99] Ichoku, Charles; Chu, Allen D.; Mattoo, Shana; Kaufman, Yoram J.; Remer, Lorraine A.; Tanre, Didier; Slutsker, Ilya; Holben, Brent N. A spatio-temporal approach for global validation and analysis of MODIS aerosol products, Jun 15 2002, v29, nl2, p 1-1 -1-4
    [100] He, Guosong; Zhu, Guorui, Change of the cultivated land and driving forces in poor mound region based on spatio-temporal analysis, Wuhan Daxue Xuebao (Xinxi Kexue Ban), 2004, v 29, n 6, p 508
    [101] Sirdas, Sevinc; Sen, Zekai, Spatio-temporal drought analysis in the Trakya region, Turkey, Hydrological Sciences Journal, 2003, v 48, n 5, p 809-820
    [102] Handcock, Rebecca N.; Csillag, Ferenc, Spatio-Temporal Analysis Using a Multiscale Hierarchical Ecoregionalization, Photogrammetric Engineering and Remote Sensing, 2004, v70, n1, p101-110
    [103] Henebry, Geoffrey M.; Goodin, Douglas G, Landscape trajectory analysis: Spatio-temporal dynamics from image time series, International Geoscience and Remote Sensing Symposium, 2002, v 4, p 2375-2378
    [104] Fu, Z.; Hui, Y; Liang, Z.-P., Joint spatio-temporal statistical analysis of functional MRI data, IEEE International Conference on Image Processing, 1998, v 1, p 709-713
    [105] Corbett, Jonathan; Leduc, Jean-Pierre; Kong, Mingqi, Analysis of deformational transformations with spatio-temporal continuous wavelet transforms, ICASSP IEEE Int Conf Acoust Speech Signal Process Proc, 1999, v 6, p 3189-3192
    [106] Le Cadre, Jean-Pierre; Tremois, O., Phase-only multidimensional spatio-temporal analysis for moving sources, ICASSP IEEE Int Conf Acoust Speech Signal Process Proc, 1994, v 4, p IV-449-452
    [107] Liou, Shih-Ping; Jain, Ramesh C. Qualitative motion analysis using a spatio-temporal approach, Proceedings of the 1991 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, p 726-727
    [108] Wax, Mati; Shan, Tie-Jun; Kailath, Thomas, SPATIO-TEMPORAL SPECTRAL
     ANALYSIS BY EIGENSTRUCTURE METHODS, IEEE Trans Acoust Speech Signal Process, 1984, v ASSP-32, n 4, p 817-827
    [109] Wu, Hongwei; Mendel, Jerry M., Quantitative analysis of spatio-temporal decision fusion based on the majority voting technique, Proc SPIE Int Soc Opt Eng, 2004, v 5434, p 13-24
    [110] Lotsch, Alexander; Friedl, Mark A.; Pinzon, Jorge, Spatio-temporal deconvolution of NDVI image sequences using independent component analysis, IEEE Trans Geosci Remote Sens, 2003, v 41, p 2938-2942
    [111] Panagopoulos, A.D.; Kanellopoulos, J.D., Spatio-temporal analysis of rainfall rate for the prediction of slant path fade duration statistics, IEEE Antennas Propag Soc AP S Int Symp, 2001, v 3, p 100-103
    [112] Su, F.Z.; Zhou, C.H.; Shao, Q.Q.; Du, Y.Y.; Stephen K., B., GIS spatio-temporal analysis of fishery resources in east China sea, Gaojishu Tongxin, 2001, v 11, n 5, p 60
    [113] Chust, Guillem; Ducrot, Danielle; Pretus, Joan Ll., Spatio-temporal analysis for characterizing the landscape of the Biosphere reserve of Menorca (Spain) using remote sensing data, Proc SPIE Int Soc Opt Eng, 1998, v 3499, p 214-223
    [114] Su, F.; Zhou, C; Shao, Q.; Du, Y.; Wang, S., Analysis of spatio-temporal fluctuations of East China Sea fishery resources using GIS, Environmental Studies, 2000, v 5, p 249-257
    [115] Aschenwald, J.; Leichter, K.; Tasser, E.; Tappeiner, U., Spatio-temporal landscape analysis in mountainous terrain by means of small format photography: A methodological approach, IEEE Trans Geosci Remote Sens, 2001, v 39, n 4, p 885-893
    [116] Haddon, John F.; Boyce, James F., Integrating spatio-temporal information in image sequence analysis to enforce consistency of interpretation, Digital Signal Process Rev J, 1998, v 8, n 4, p 284-293
    [117] Zhou, Guoqing; Albertz, Joerg; Gwinner, Klaus, Extracting 3D information using spatio-temporal analysis of aerial image sequences, Photogrammetric Engineering and Remote Sensing, 1999, v 65, n 7, p 823-832
    [118] Itoh, Satoru, Diurnal variation of urban structure in terms of time distance: A spatio-temporal analysis of an urban area, GeoJournal, 2000, v 52, n 3, p 223-235
    [119] Henebry, Geoffrey M.; Kux, Hermann J.H., Spatio-temporal analysis of SAR image series from the Brazilian pantanal, Eur Space Agency Spec Publ ESA SP, 1997, v SP-414, n 1, p 321-324
    [120] Brivio, Pietro A.; Ober, Giovanna; Koffi, Brigitte; Gregoire, Jean-Marie, Techniques for spatio-temporal analysis of vegetation fires in the tropical belt of Africa, Proc SPIE Int Soc Opt Eng, 1995, v 2586, p 162-171
    [121] Kosinski, R.A.; Stepien, R., Simple quantitative analysis of spatio-temporal diagrams for domain wall dynamics, Acta Physica Polonica A, 1995, v 87, n 3, p 575
    [122] Henebry, Geoffrey M.; Kux, Hermann J.H., Spatio-temporal land cover dynamics in the pantanal assessed using lacunarity analysis on an ERS-1 SAR image time series, Dig Int Geosci Remote Sens Symp (IGARSS), 1996, v 1, p 195-197
    [123] Nomura, Atsushi; Miike, Hidetoshi; Koga, Kazutoshi, Extracting depth-information from dynamic image by spatio-temporal correlation analysis, Systems and Computers in Japan, 1991, v 22, n 5, p 70-80
    [124] Menon, Raghu P.; Acharya, Raj S.; Zhang, Aidong, Content based image query from
     image databases using spatio-temporal transforms and fractal analysis methods, IEEE Int Conf Image Process, 1996, v 3, p 863-866
    [125] Georgakakos, K.P.; Bae, D.-H., Climatic variability of soil water in the American Midwest. Part 2. Spatio-temporal analysis, Journal of Hydrology, 1994, v 162, n 3-4, p 379
    [126] Kawasaki, Hiroshi; Ikeuchi, Katsushi; Sakauchi, Masao, Spatio-temporal analysis of omni image, Proc IEEE Comput Soc Conf Comput Vision Pattern Recognit, 2000, v 2, p 577-584
    [127] Swinney, Harry L., Spatio-temporal patterns. Observations and analysis, Proceedings of the NATO Advanced Research Workshop on Comparative Time Series Analysis, 1994, p 557
    [128] Gounon, P.; Bozinoski, S., High resolution spatio-temporal analysis by an active array, ICASSP IEEE Int Conf Acoust Speech Signal Process Proc, 1995, v 5, p 3575-3578
    [129] Peng, Shou-Ling; Medioni, Gerard, Interpretation of image sequences by spatio-temporal analysis, Proceedings: Workshop on Visual Motion, 1989, p 344-351
    [130] Wennekers, Thomas, Analysis of spatio-temporal patterns in associative networks of spiking neurons, IEE Conference Publication, 1999, v 1, n 470, p 245-250
    [131] Hohmann, M.G; Miles, D.B., Analysis of scale and spatio-temporal variation of regional avian population trends, NCASI Technical Bulletin, 1999, n 7811, p 239-240
    [132] Gonzalez-Oreja, Jose Antonio; Saiz-Salinas, Jose Ignacio, Short-term spatio-temporal changes in urban pollution by means of faecal sterols analysis, Marine Pollution Bulletin, 1998, v 36, n 11, p 868-875
    [133] Peng, Shou-Ling; Medioni, Gerard, Spatio-temporal analysis for velocity estimation of contours in an image sequence with occlusion, Proc Int Conf Pattern Recognit, 1988, p 236-241
    [134] Akehurst,Lucy,Dowdall, GW, Babbie, E. and Halley, R, Adventures in Criminal Justice Research: Data Analysis Using SPSS for Windows,Expert Evidence,1998,vol.6, NO.3, 241-242
    [135] Burnett, William C; Bokuniewicz.Henry; Huettel,Markus; Moore, Willard S.; Taniguchi,Makoto,GroundWater and pore Water inputs to the Coastal zone,Biogeochemistry,200311, vol.66 NO.1/2,3-33
    [136] Garcia,Alexandre M.; Raseira,Marcelo B.; Vieira,Joao P.; Winemiller,Kirk O.; Grimm,Alice M.Spatiotemporal Variation in Shallow-Water Fresh Water Fish Distribution and Abundance in a Large Subtropical Coastal Lagoon.Environmental Biology of Fishes,200311, vol.68 NO.3,215-228
    [137] Goni,Miguel A.; Gardner,I. Robert,Seasonal Dynamics in Dissolved Organic Carbon Concentrations in a Coastal Water-Table Aquifer at the Forest-Marsh Interface,Aquatic Geochemistry,200309, vol.9 NO.3, 209-232
    [138] Bezverbnaya,I. P.; Dimitrieva,G Yu.; Tazaki.K.; Vatanabe,H,Evaluation of Sea Water Quality in the Coastal Zone of Primor'e Using the Method of Microbial Indication.Water Resources,200303/04, vol.30 NO.2,199-208
    [139] Therriauh,Thomas W.,Temporal patterns of diversity, abundance and evenness for invertebrate communities from Coastal fresh Water and brackish Water rock pools,Aquatic Ecology,200212, vol.36 NO.4,529-540
    [140] Baric,A.; Kuspilic.G; Matijevic,S,.Nutrient (N, P, Si) fluxes between marine sediments
     and Water column in Coastal and open Adriatic,Hydrobiologia,200205, vol.475/476 NO.1,151-159
    [141] Aguilera,P. A.; Garrido Frenich,A.; Castro,H.; Martinez Vidal,J. L, PLS and PCR Methods in the Assessment of Coastal Water Quality,Environmental Monitoring and Assessment,200005, vol.62 NO.2,193-204
    [142] Gren,Ing-Marie; Destouni,Georgia; Scharin,Henrik,Cost effective management of stochastic Coastal Water pollution,Environmental Modeling and Assessment,2000, vol.5 NO.4,193-203
    [143] Rajagopal.S.; Venugopalan,V.P.; Nair,K.V.K.; Van der Velde,G; Jenner,H.A,Settlement and growth of the green mussel Perna viridis (L.) in Coastal Waters: influence of Water velocity,Aquatic Ecology, 199812, vol.32 NO.4,313-322
    [144] Cardinale,B.J.; Brady,V.J.; Burton,T.M,Changes in the abundance and diversity of Coastal wetland fauna from the open Water/macrophyte edge towards shore,Wetlands Ecology and Management.1998, vol.6 NO.1,59-68
    [145] Cermelj,B.; Bertuzzi,A.; Faganeli,J, Modelling of Pore Water Nutrient Distribution and Benthic Fluxes in Shallow Coastal Waters (Gulf of Trieste, Northern Adriatic), Water, Air, and Soil Pollution, 199710, vol.99 NO. 1/4,435-444
    [146] Koh,Hock-Lye; Lim,Poh-Eng; Lee,Hooi-Ling ,Impact Modeling of Sewage Discharge From Georgetown of Penang, Malaysia on Coastal Water Quality,Environmental Monitoring and Assessment, 199702, vol.44 NO. 1/3,199-209
    [147] Akhtar,Waseem; Ali,IqbaI; Zaidi,S. S. H.; Jilani,Seema,THE STATE OF POLLUTION LEVELS OF KARACHI HARBOUR AND ADJOINING Coastal Water;Water, Air, and Soil Pollution,199702, vol.94 NO. 1/2,98-107
    [148] Zettler,Michael L,Population dynamics, growth and production of the neozoon Marenzelleria cf. viridis (Verrill, 1873) (Polychaeta: Spionidae) in a Coastal Water of the southern Baltic Sea,Aquatic Ecology,1997, vol.31 NO.2,177-186
    [149] Liu.S.; Tucker,R; Mansell.M.; Hursthouse,A,Application of a water quality model in the White Cart water Catchment, Glasgow, UK,Environmental Geochemistry and Health,2003, vol.25 NO.1,57-62
    [150] Anon, System integration, New Electronics, 2002, v 35, n 18, p 52
    [151] Ma, Weiming, Power system integration technique, Diangong Jishu Xuebao, 2005, v 20, n 1, p 16-20
    [152] Ramm, Peter; Klumpp, Armin; Merkel, Reinhard; Weber, Josef; Wieland, Robert; Ostmann, Andreas; Wolf, Jurgen, 3D system integration technologies, Mater Res Soc Symp Proc, 2003, v 766, p 3-14
    [153] Chambers, Chris, Architectures for system integration, EBU Technical Review, 2005, n301, p 13
    [154] Feng, Shao-Jun; Chen, Yu-Liu, Constraint principle of system integration, Xitong Gongcheng Lilum yu Shijian, 2002, v 22, n 5, p 19
    [155] Valleur, M.M., System integration improves refining, Hydrocarbon Processing, 1998, v 77, n 5, p 73
    [156] Danker, William J.; Williams, Jeffrey R., Systems integration modeling system, Proceedings of the 1st Annual International Topical Meeting on High Level Radioactive Waste Management. Part 2, 1990, p 1351-1356
    [157] Wilson, Gregor Zach John, Exploring virtual system integration, Electronic Product Design, 1995, v 16, n 11, p3
    [158] Rodie, Chris, System integration issues, InTech, 1988, v 35, n 10, p 33-34
    [159] Kotov, V., System factory: Integrating tools for system integration, Proc Hawaii Int Conf Syst Sci, 2001, p 274
    [160] Marcus, Richard S., INTEGRATION THROUGH INTERMEDIARY SYSTEM NETWORKS, 1985 ACM Thirteenth Annual Computer Science Conference, 1985, p 33
    [161] Faller, Benoit, EXPERT SYSTEM IN SYMBOLIC INTEGRATION, ECAI-84: Proceedings of the Sixth European Conference on Artificial Intelligence, 1984, p 82
    [162] Maczka, Walter J., Strategies for successful system integration, InTech, 1988, v 35, n 11, p 34-40,42
    [163] Berar, Andrei, System integration: The technology workhorse, EE Eval Engin, 1998, v 37, n 7, p 30, 32, 35
    [164] Zhang, Dalu, System integration of intelligent building, Jisuanji Gongcheng/Computer Engineering, 1998, v 24, n 5, p 21-23,59
    [165] Hasselbring, Wilhelm, Information system integration, Communications of the ACM, 2000, v 43, n 6, p 33-38
    [166] Wan, Linrui; Li, Xurong, Researches on system integration methodology, Jisuanji Xuebao, 1999, v 22, n 10, p 1025-1031
    [167] Johnson, Lars W., System integration project case study, Advances in Instrumentation, Proceedings, 1990, v 45, n pt 3, p 1209-1217
    [168] Tsang, Curtis H.K., Expert system development through integration, Proc Aust NZ Conf Intell Inf Syst, 1994, p 422-426
    [169] Haslett, Rob, SYSTEM INTEGRATION MEANS STRAIGHT TALKING, Control and Instrumentation, 1984, v 17, n 6, p 47,49
    [170] Ballard, Michael T, SYSTEM INTEGRATION - THE FINAL GOAL, Mineral Resource Management by Personal Computer, 1987, p 169-170
    [171] Thomas, Robert M., Visually coupled system integration, Proc SPIE Int Soc Opt Eng, 1989, v 1116, p 33-36
    [172] Deng, Yangdong; Maly, Wojciech, 2.5D system integration: A design driven system implementation schema, Proc Asia South Pac Des Autom Conf, 2004, p 450-455
    [173] Choi, Jinmu; Usery, E. Lynn, System Integration of GIS and a Rule-Based Expert System for Urban Mapping, Photogramm. Eng. Remote Sens, 2004, v 70, n 2, p 217-224
    [174] Helbig, Sacha P., System integration evaluation, a testing approach for new implemented systems, Proc SPIE Int Soc Opt Eng, 2002, v 4685, p 200-205
    [175] Baban, S.M.J., Environmental monitoring of estuaries; estimating and mapping various environmental indicators in Breydon Water estuary, UK, using Landsat TM imagery, Oceanographic Literature Review, September, 1997,Volume: 44, Issue: 9, pp. 1048
    [176] Feng, Yuguo, A Comprehensive Method for Evaluating Water Environmental Quality, Chinese Science Abstracts Series B, August, 1995,Volume: 14, Issue: 4, Part B, pp. 70-71
    [177] Kouassi, A. M.; Kaba, N.; Metongo, B. S., Land-based sources of pollution and environmental quality of the Ebrie Lagoon waters, Oceanographic Literature Review , November, 1995,Volume: 42, Issue: 11, pp. 1023
    [178] Hu, Shaoling; Kot, S.C, Numerical model of tides in Pearl River estuary with moving
     boundary, Oceanographic Literature Review , September, 1997,Volume: 44, Issue: 9, pp. 914
    [179] Chen, Jay-Chung; Heinke, Gary W.; Jiang Zhou, Ming, The Pearl River Estuary Pollution Project (PREPP), Continental Shelf Research, October, 2004,Volume: 24, Issue: 16, pp. 1739-1744
    [180] Zhou, Huai-yang; Peng, Xiao-tong; Pan, Jian-ming, Continental Shelf Research.October, 2004,Volume: 24, Issue: 16, pp. 1857-1875
    [181] Chen, Jianfang; Li, Yan; Yin, Kedong; Jin, Haiyan, Amino acids in the Pearl River Estuary and adjacent waters: origins, transformation and degradation, Continental Shelf Research, October, 2004,Volume: 24, Issue: 16, pp. 1877-1894
    [182] Yin, Kedong; Lin, Zhifeng; Ke, Zhiyuan, Temporal and spatial distribution of dissolved oxygen in the Pearl River Estuary and adjacent coastal waters, Continental Shelf Research, October, 2004,Volume: 24, Issue: 16, pp. 1935-1948
    [183] Chau, K.W.; Jiang, Y.W., Three-dimensional pollutant transport model for the Pearl River Estuary, Water Research, April, 2002,Volume: 36, Issue: 8, pp. 2029-2039
    [184] Chen, Shui-sen; Chen, Liang-fu; Liu, Qin-huo; Li, Xia; Tan, Qiyu, Remote sensing and GIS-based integrated analysis of coastal changes and their environmental impacts in Lingding Bay, Pearl River Estuary, South China, Ocean and Coastal Management, 2005, Volume: 48, Issue: 1, pp. 65-83
    [185] Jilan, Su, Overview of the South China Sea circulation and its influence on the coastal physical oceanography outside the Pearl River Estuary, Continental Shelf Research, October, 2004,Volume: 24, Issue: 16, pp. 1745-1760
    [186] Chen, Xiaoling; Li, Yok Shueng; Liu, Zhigang; Yin, Kedong; Li, Zhilin; Wai, Onyx WH.; King, Bruce, Integration of multi-source data for water quality classification in the Pearl River estuary and its adjacent coastal waters of Hong Kong, Continental Shelf Research , October, 2004,Volume: 24, Issue: 16, pp. 1827-1843
    [187] Hills, P.; Zhang, Lei; Liu, Jianhua, Transboundary pollution between Guangdong Province and Hong Kong: threats to water quality in the Pearl River Estuary and their implications for environmental policy and planning, Oceanographic Literature Review, September, 1998,Volume: 45, Issue: 9, pp. 1657
    [188] Wai, O.W.H.; Wang, C.H.; Li, Y.S.; Li, X.D., The formation mechanisms of turbidity maximum in the Pearl River estuary, China, Marine Pollution Bulletin,March, 2004, Volume: 48, Issue: 5-6, pp. 441-448
    [189] Chen, Zhiqiang; Li, Yan; Pan, Jianming, Distributions of colored dissolved organic matter and dissolved organic carbon in the Pearl River Estuary, China, Continental Shelf Research, October, 2004,Volume: 24, Issue: 16, pp. 1845-1856
    [190] Wong, L.A.; Chen, J.C; Dong, L.X., A model of the plume front of the Pearl River Estuary, China and adjacent coastal waters in the winter dry season, Continental Shelf Research, 2004, Volume: 24, Issue: 16, October, pp. 1779-1795
    [191] Hong, Huasheng; Chen, Weiqi; Xu, Li; Wang, Xinhong; Zhang, Luoping, Distribution and Fate of Organochlorine Pollutants in the Pearl River Estuary, Marine Pollution Bulletin, 1999,Volume: 39, Issue: 1-12, January, pp. 376-382
    [192] Huang, X.P.; Huang, L.M.; Yue, W.Z., The characteristics of nutrients and eutrophication in the Pearl River estuary, South China, Marine Pollution Bulletin, 2003,
     Volume: 47, Issue: 1-6, January - June, pp. 30-36
    [193] Callahan, Julie; Dai, Minhan; Chen, Robert E; Li, Xiaolin; Lu, Zhongming; Huang, Wei, Distribution of dissolved organic matter in the Pearl River Estuary, China, Marine Chemistry, October, 2004,Volume: 89, Issue: 1-4, pp. 211-224
    [194] Liu, W.X.; Li, X.D.; Shen, Z.G; Wang, D.C.; Wai, O.W.H.; Li, Y.S., Multivariate statistical study of heavy metal enrichment in sediments of the Pearl River Estuary, Environmental Pollution, March, 2003,Volume: 121, Issue: 3, pp. 377-388
    [195] Tang, DanLing; Kester, Dana R.; Ni, I-Hsun; Qi, YuZao; Kawamura, Hiroshi, In situ and satellite observations of a harmful algal bloom and water condition at the Pearl River estuary in late autumn 1998, Harmful Algae, June, 2003,Volume: 2, Issue: 2, pp. 89-99
    [196] Xia, X.M.; Li, Y.; Yang, H.; Wu, C.Y.; Sing, T.H.; Pong, H.K., Observations on the size and settling velocity distributions of suspended sediment in the Pearl River Estuary, China, Continental Shelf Research, October, 2004,Volume: 24, Issue: 16, pp. 1809-1826
    [197] Li, Xiangdong; Wai, Onyx W.H.; Li, Y.S.; Coles, Barry J.; Ramsey, Michael H.; Thornton, Iain, Heavy metal distribution in sediment profiles of the Pearl River estuary, South China, Applied Geochemistry, 2000,Volume: 15, Issue: 5, June 1, pp. 567-581
    [198] Mao, Qingwen; Shi, Ping; Yin, Kedong; Gan, Jianping; Qi, Yiquan, Tides and tidal currents in the Pearl River Estuary, Continental Shelf Research, October, 2004,Volume: 24, Issue: 16, pp. 1797-1808
    [199] Huang, Liangmin; Jian, Weijun; Song, Xingyu; Huang, Xiaoping; Liu, Sheng; Qian, Peiyuan; Yin, Kedong; et. al., Species diversity and distribution for phytoplankton of the Pearl River estuary during rainy and dry seasons, Marine Pollution Bulletin, October, 2004,Volume: 49, Issue: 7-8, pp. 588-596
    [200] Cai, Wei-Jun; Dai, Minhan; Wang, Yongchen; Zhai, Weidong; Huang, Tao; Chen, Shuitu; Zhang, Fan; et. al., The biogeochemistry of inorganic carbon and nutrients in the Pearl River estuary and the adjacent Northern South China Sea, Continental Shelf Research, August, 2004, Volume: 24, Issue: 12, pp. 1301-1319
    [201] Yung Y K, Wong C K, Broom M J et al. Long-term changes in hydrography, nutrient and phytoplankton in Tolo Harbour. Hong Kong. Hydrobiologia. 1997.352:107-352
    [202] Kalivas DP, Kollias VJ, Karantounias G A GIS for the assessment of the spatio-temporal changes of the Kotychi Lagoon, western Peloponnese, Greece. WATER RESOURCES MANAGEMENT, FEB 2003, 17 (1): 19-36
    [203] KW. Chau, Y.W. Jiang. Three-dimensional pollutant transport model for the Pearl River Estuary. Water Research, 2002,36:2029 - 2039
    [204] J. J. BISAgNI, D. J. GIFFORD and C. M. RUHSAM. The spatial and temporal distribution of the Maine Coastal Current during 1982. Continental Shelf Research, 1996, Vol.l6,No.l:l-24
    [205] Mohammad Rezwanul Islam, Syeda Fahliza Begum, Yasushi Yamaguchi, Katsuro Ogawa. Distribution of suspended sediment in the coastal sea off the Ganges-Brahmaputra River mouth: observation from TM data. Journal of Marine Systems, 2002, 32: 307-321
    [206] T. V. Narasimha Rao. Spatial Distribution of Upwelling off the Central East Coast of India. Estuarine, Coastal and Shelf Science, 2002, 54:141-156
    [207] Genevie've Lacroixa, Kevin Ruddicka, Jose' Ozera, Christiane Lancelotb. Modelling the impact of the Scheldt and Rhine/Meuse plumes on the salinity distribution in Belgian
     waters (southern North Sea). Journal of Sea Research, 2004,52:149—163
    [208] Kehris E. Interfacing ARC/IFO with GLIM[M]. Research Report No 5, North West Regional Laboratory, Lancaster University,1990
    [209] Bo Huanga, Bin Jiang. AVTOP: a full integration of TOPMODEL into GIS. Environmental Modelling & Software, 2002,17: 261-268
    [210] S. Naouma, I.K. Tsanisb, M. Fullarton. A GIS pre-processor for pollutant transport modeling. Environmental Modelling & Software, 2005, 20: 55—68
    [211] Fernandez GP, Chescheir GM, Skaggs RW, Amatya DM. WATGIS: A GIS-based lumped parameter water quality model. TRANSACTIONS OF THE ASAE, MAY-JUN 2002,45 (3): 593-600

© 2004-2018 中国地质图书馆版权所有 京ICP备05064691号 京公网安备11010802017129号

地址:北京市海淀区学院路29号 邮编:100083

电话:办公室:(+86 10)66554848;文献借阅、咨询服务、科技查新:66554700