An Integration of Spatial Information Technology for Groundwater Potential and Quality Investigations in Koduvan Ár Sub-Watershed of Meenachil River Basin,Kerala, India

The importance of groundwater is growing based on an increase in need and decrease in the availability of fresh surface water sources and adequate rainfall. Remote Sensing and Geographic Information System (GIS) has become one of the leading tools in the field of hydrogeological science, which helps in assessing, monitoring and conserving groundwater resources. This paper describes the results of a groundwater potentiality and quality assessment conducted in Koduvan ár sub-watershed of Meenachil river basin, Kottayam district of Kerala state, in the Republic of India. Shallow groundwater is the main source of drinking water in urban and rural areas, but reliable spatial data on its potentiality and quality are currently insufficient for developing the water-supply systems with standard designs. The methodology used in the present study includes an integrated approach of remote sensing and GIS for the construction of groundwater potentiality map and the assessment of water quality of identified wells. Different spatial data layers such as, geomorphology, lithology, slope and land use/ land cover are generated and the interrelationship between these layers were analyzed to identify and assess the groundwater potentiality of the area. The final result depicts the favourable prospective zones in the study area with its quality parameters and can be helpful to formulate recommendations to reduce the water scarcity and quality risks for public health.     

Identification of Artificial Recharge Sites for Noyyal River Basin Using GIS and Remote Sensing

The water is a nature’s valuable gift to all life forms. Water quality and quantity plays a major role for the growth and development of community. Both natural and human factors influence the quality and quantity of water source. Depending upon the quality and quantity of groundwater it can be used for various purposes, such as drinking, agricultural and industrial. Due to revolution in industries and various anthropogenic sources in the past decades, groundwater has been polluted and depleted. Remote sensing and Geographical Information System (GIS) has become one of the leading tools in the field of hydrogeological science, which helps in assessing, monitoring and conserving groundwater resources. GIS technology provides suitable alternatives for efficient management of large and complex databases. In recent years, the increasing use of satellite remote sensing data has made it easier to define the spatial distribution of different groundwater prospect classes on the basis of geomorphology and other associated parameters. Analysis of remotely sensed data along with Survey of India(SOI) topographical sheets and collateral information with necessary field checks helps in generating the base line information for artificial recharge. The artificial recharge sites were identified by integrating thematic maps of geology, geomorphology, slope, drainage density and lineament density of the study area. The study focuses on the development of remote sensing and GIS based analysis and methodology for identifying artificial recharge studies in Noyyal river basin.     

Estimation of Snowmelt Runoff in Beas Basin,India

Abstract

Estimation of snowmelt runoff is very important in the Western Himalayan rivers in India where it is required to plan for hydropower generation and the water management during the non‐monsoon season. An attempt has been made to estimate snowmelt runoff on a 10 day average basis in Beas Basin up to Pandoh Dam during May, 1998 and November, 1999 using a Snowmelt Runoff Model (SRM), which is a degree day method. The input parameters for the model are derived from existing maps, satellite data, metrological and hydrological data. The relief of the basin is divided into 12 elevation zones of 500 m each. The temperature was extrapolated to these elevation zones using temperature lapse rate calculated using the observed temperature at seven stations within the basin. Snow covered area in the basin was determined using Indian Remote Sensing Satellites IRS ‐ 1C / 1D Wide Field Sensor (WIFS). The runoff from the snow covered area and snow free area was separately calculated in each elevation zone. The model parameter degree‐day factor is taken from literature and runoff coefficients for snow and rain are derived using the observed data. The total discharge at the dam site is computed by a weighted sum of runoff components from all the elevation zones. There is a good agreement between the observed and computed runoff with a coefficient of determination of 0.854 and the difference in volume is + 4.6 %.     

A GIS FOR THE ANTARCTIC SPECIALLY MANAGED AREA OF ADMIRALTY BAY,KING GEORGE ISLAND,ANTARCTICA

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Remote Sensing and GIS Approach for Delineation of Groundwater Potential and Groundwater Quality Zones of Western Doon Valley, Uttarakhand, India

Groundwater exploration in the Western Doon valley has been carried out to delineate the groundwater potential and groundwater quality zones suitable for domestic purposes based on the integrated use of Remote Sensing and Geographical Information Systems (GIS). The Western Doon Valley, occupying broad synclinal troughs in the evolving fold-thrust system of sub-Himalaya, which is filled by post-Siwalik fluvial and debris flow deposits in the late Quaternary-Holocene. The Western Doon Valley area is bounded by the Mussoorie range in the north with 1800–2800 m elevation and in the south by young topographic relief of the frontal Siwalik range with ~800 m average elevation. Groundwater quality of Western Doon valley through pictorially representation in the GIS environment, it is inferred that calcium, magnesium, total hardness and nitrate at some locations above the desirable limit. The groundwater prospects map has been prepared by integrating the hydrogeomorphologic, land use/land cover from satellite data (IRS-ID, LISS-III data) slope, soil, drainage density, depth to water table of pre-monsoon and post-monsoon periods (unconfined aquifer), water table fluctuation, static water level (confined to semi-confined aquifers), specific capacity, discharge and drawdown maps using index overlay method in the GIS environment. The groundwater prospects are depicted in five categories Very high, high, moderate, low and very low (runoff zone) integrated with the groundwater quality zones which have been prepared from hydrochemical data. The results indicated that 16.82 % of the area is under Very high potential zone category with 16.11 % and 0.71 % of desirable and undesirable quality of groundwater and 18.65 %, 42.06 %, 6.96 % and 15.46 % classified as high, moderate, low and very low potential zones with desirable and undesirable quality of groundwater for domestic purposes. This study be useful for designing the groundwater prospects and management plan for the sustainable development of study area.     

应用RS、GIS技术提取广州市绿地信息的方法

以广州市为例,以高分辨率的遥感影像及电子地图为主要数据源,以遥感图像处理软件及地理信息系统为主要分析工具,探讨了通过RS和GIS来提取绿地信息的方法,其中重点阐述了遥感影像处理、绿地信息提取及建库过程。     

Remote Sensing of Turbidity and Phosphate in Creeks and Coast of Mumbai: An Effect of Organic Matter

Geospatial approaches to monitoring and mapping water quality over a wide range of temporal and spatial scales have the potential to save field and laboratory efforts. The present study depicts the estimation of water quality parameters, namely turbidity and phosphate, through regression analysis using the reflectance derived from remote sensing data on the west coast of Mumbai, India. The predetermined coastal water samples were collected using the global positioning system (GPS) and were measured concurrently with satellite imagery acquisition. To study the influence of wastewater, the linear correlations were established between water quality parameters and reflectance of visible bands for either set of imagery for the study area, which was divided into three zones: creek water, shore‐line water and coastal water. Turbidity and phosphate have the correlation coefficients in the range 0.75–0.94 and 0.78–0.98, respectively, for the study area. Negative correlation was observed for creek water owing to high organic content caused by the discharges of domestic wastewater from treatment facilities and non‐point sources. Based on the least square method, equations are formulated to estimate turbidity and phosphate, to map the spatial variation on the GIS platform from simulated points. The applicability of satellite imagery for water quality pattern on the coast is verified for efficient planning and management.     

桂林市三维地形立体显示与分析系统

“桂林市三维地形立体显示与分析系统”利用了GIS和RS技术开发研制。它以数字化的地形图为核心数据源,建立数字高程模型,以卫星遥感数字图像为三维景观的表层粘模。具有二维平面—三维立体图对照显示、地形数据与专业图像数据迭合显示和任意调整观察(飞行)参数等功能,并可以按预设的路线模拟飞行观察。还具有绘制剖面、分析地形坡度、求算面积和土石方量(或水库库容)、综合背景查询和工程适宜性评价等功能,有较高的实用价值。     

遥感技术在小流域水土流失快速调查中的应用——以老高川地区为例

以SPOT与TM融合图像为遥感信息源,对孤山川流域老高川地区进行1:5万比例尺水土流失遥感调查,分析了小流域水土流失的主要影响因素,指出了遥感技术与地理信息系统结合是遥感技术在小流域水土流失快速调查的发展方向.     

通讯光缆选线的遥感及GIS辅助决策分析

详细介绍了基于遥感和地理信息系统(GIS)的某地通讯光缆选线基本流程。借助遥感和栅格GIS分析软件Idrisiforwindows,成功规划出了最佳通讯光缆支线位置,实现了通讯光缆选线的遥感和GIS辅助决策分析。     

基于RS和GIS的秦岭金钱河流域露天采掘场监测研究

流域是人类活动对生态环境影响的重要监测项目。应用RS与GIS技术,对陕西省内秦岭金钱河流域露天采掘场进行动态监测,得到2007、2009和2011年3期露天采掘场开发现状数据,在此基础上,对比分析近五年来露天采掘场的变化情况,统计出露天采掘场逐年的数量和面积变化。结果表明,近五年来该流域区露天采掘场数量和面积都在逐年增加,但2009~2011年与2007~2009年相比增幅减小,说明金钱河流域露天采掘场开发活动得到了整治,生态环境质量逐渐改善。     

遥感与GIS技术在雅鲁藏布江区域地质调查解译中的应用研究

在西藏雅鲁藏布江中游要修建一大型水利工程,都需要先查明工程地区的地质情况,对基底稳定性做出评价、工程设计和施工提供地质依据。为此运用遥感与GIS技术对雅鲁藏布江区域进行遥感地质调查,本文通过项目的实践研究,对遥感在区域地质调查中的遥感片种及谱段的选择、图像处理、解译标志的建立、构造断裂地层断层以及地质灾害等方面的解译以及GIS地质制图中需要注意的问题等方面的认识作了总结。     

Estimation of Sediment Yield and Selection of Suitable Sites for Soil Conservation Measures in Ahar River Basin of Udaipur,Rajasthan using RS and GIS Techniques

The present study aimed at quantification of sediment yield for Ahar River basin of Udaipur district in Rajasthan, India by a regional empirical model using RS and GIS techniques. The land use/land cover (LULC) map of the study area was prepared by supervised classification using satellite imagery of IRS-P6 LISS III. Overall accuracy of the prepared LULC map was 90.78%. The major portion of the study area (49%) is covered with rangeland. Slope map for the study area was developed using digital elevation model. The slope in most of the study area (40% of the total area) ranges from 1% to 4%. In addition, drainage density map of the study area was generated on micro-watershed basis. The study area is covered by a dendritic pattern of drainage which shows that rocks in the area are homogeneous and uniformly resistant to water flow. The drainage density in the study area is 1.11 km km⁻². Annual sediment yield of the study area was quantified by Garde model. The mean annual runoff and sediment yield for the area was 37.58 million m³ and 8,760 m³/year, respectively. Finally, appropriate sites for construction of soil conservation measures are suggested using Boolean logic analysis method on combined slope and drainage maps.     

利用遥感和GIS研究塔里木河下游阿拉干地区土地沙漠化

新疆塔里木河流域受人类活动的影响,特别是由于水资源利用的不合理,不同区域出现了一系列生态环境问题,下游地区普遍存在的沙漠化现象表现得尤为突出。通过应用多时相（１９５９年、１９８３年、１９９２年）、多波段、多平台的遥感信息,在野外调研的基础上编制阿拉干地区不同年代沙漠化类型图,并在ＡＲＣ／ＩＮＦＯ软件支持下,对图件进行编辑处理,制作沙漠化动态图;通过ＧＩＳ数据库提供的资源环境定量数据,应用系统论、信息论及控制论的观点分析阿拉干地区沙漠化的演化过程,并借助于ＧＭ（１,１）模型,预测阿拉干地区土地沙漠化的发展趋势。     

Role of Remote Sensing Inputs in Feasibility Assessment of Proposed Irrigation Projects

Availability of Water resources is not uniform in space and time resulting in deficient and surplus areas. In India, the idea of interlinking of river is proposed for many years to transfer water from surplus regions to water deficient areas. Ken-Betwa river link proposes to transfer 659 MCM of surplus waster from Ken basin to Betwa basin in order to utilise for irrigation and water supply by constructing new projects. Before taking up any new projects feasibility assessment studies are essential. In this context, satellite remote sensing plays vital role in providing required information for the feasibility assessment studies. The processes involved in deriving the satellite based information are explained with Ken-Betwa case study. Using this satellite derived information reservoir submergence analysis and irrigation command analysis were described for one proposed dam site namely Neemkheda. The results of the analysis provide the decision makers to arrive at selection of suitable sites among the proposed dam sites and the final reservoir levels and area that can be irrigated under its command.     

基于CORS系统的饮用水水源保护研究与应用——以大连为例

根据大连地区饮用水水源保护区的特点,对大连地区开展饮用水水源保护以及利用CORS系统进行水源保护区勘界立标等工作进行了研究,对测绘成果进行了检验,证明采用CORS系统能够提高水源保护工作效率,并保证相关成果质量符合要求。     

Identification and analysis of groundwater potential zones in Ken–Betwa river linking area using remote sensing and geographic information system

The use of remote sensing data with other ancillary data in a geographic information system (GIS) environment is useful to delineate groundwater potential zonation map of Ken–Betwa river linking area of Bundelkhand. Various themes of information such as geomorphology, land use/land cover, lineament extracted from digital processing of Landsat (ETM+) satellite data of the year 2005 and drainage map were extracted from survey of India topographic sheets, and elevation, slope data were generated from shuttle radar topography mission (SRTM) digital elevation model (DEM). These themes were overlaid to generate groundwater potential zonation (GWPZ) map of the area. The final map of the area shows different zones of groundwater prospects, viz., good (5.22% of the area), moderate (65.83% of the area) poor (15.31% of the area) and very poor (13.64% of area).     

环境一号卫星及其在环境监测中的应用

2008年9月发射的环境一号卫星是中国自主研发的首颗专门用于环境与灾害监测的新型卫星,对中国环境遥感监测技术发展与应用具有里程碑意义。围绕环境一号卫星应用关键技术研究与业务运行,首先对在大量研究基础上形成的环境一号卫星技术性能指标进行了介绍和分析,给出了环境一号卫星CCD、红外和超光谱数据的实例,并从几何精度和辐射特性等多个方面对环境一号卫星数据质量进行了分析和评价;然后从大型水体环境遥感监测、区域环境空气遥感监测、宏观生态环境遥感监测的角度,系统提出了环境一号卫星的应用需求;在此基础上设计了包括业务流程和数据产品定义在内的环境一号卫星应用方案;最后将所建立的基于环境一号卫星的环境参数反演方法用于京津塘地区气溶胶光学厚度及巢湖叶绿素a浓度反演,显示了环境一号卫星应用的作用和效果。     

基于RS和GIS的县级土地利用动态监测研究--以河北省万全县为例

本文以两期卫星影像作为主要信息源，并辅以地面调查，通过综合运用地理信息系统和遥感技术，成功获取了河北省万全县土地利用的变化信息。同时还对动态监测的工作流程以及关键技术进行了分析和探讨。     

基于RS/GIS技术与数值计算的库岸边坡稳定性研究

利用相关的地质、地貌、岩土性质、土地利用类型等数据,在对水库库区景观进行可视化分析的基础上,将宏观上的滑坡危险区域识别与微观上的危险区域内边坡稳定数值模拟相结合,研究了库岸边坡稳定性问题,并对库区复杂条件下的岩质边坡稳定性评价进行了尝试性探索。