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Modelling of Saline Water Intrusion in Lower Penaar Basin, Nellore, Andhra Pradesh, India

机译:印度安得拉邦内洛尔下Penaar盆地的咸水入侵模型

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Remote sensing and Geographical Information System (GIS) technologies can be effectively employed for the identification of salt-water intrusion zones in river deltas. Keeping this in view, the present study deals with the Pennar river basin in the East Coast of India. In southern India there are three major deltas formed by rivers Godavari, Krishna and Pennar. Pennar delta has one of the largest irrigation systems of canals and distributes. A significant proportion of fresh water resources in this delta is used for agricultural and aquaculture purposes. Owing to the limited fresh water resources and increase in demand for irrigation water the base flow discharge to the sea has been reduced significantly in the delta. The water management practice in coastal region with high emphasis on increasing the agricultural yield and least concerned for the environmental implications has disturbed the groundwater travel path in regions near Bay of Bengal. This study was aimed to determine the water quality and also to identify the saltwater intrusion zones in the Pennar delta integrating Remote sensing and GIS techniques. Baseline studies are carried out to quantify the level of seawater intrusion by analyzing the water quality data using remote sensing data, GIS and field studies. Two types of databases, attribute and spatial database were created for achieving the objectives of the study. A total number of 100 ground water samples were collected and analyzed for physico-chemical parameters like pH, alkalinity, hardness, total dissolved solids, sodium, potassium, sulphates, nitrates etc. adopting standard protocols (APHA 1998). Maps showing spatial distribution of various parameters were then prepared using curve-fitting technique of ARC/INFO and ARCVIEW GIS software. Remote sensing satellite data is used for the preparation of various thematic layers like land use/land cover, soil, geomorphology, drainage and slope using visual interpretation technique. Methodology for the identification of saline water intrusion zones was then developed by integrating the water quality data, Remote sensing and GIS. A final map showing the spatial distribution of salinity was then prepared based on the concentrations of total dissolved solids in the ground water. From the results obtained, total area is classified into fresh, slightly saline and moderately saline zones. Moderately saline zone was observed near brackish water and in areas with poor drainage. Slightly saline zones are observed in areas where aquaculture is in practice and fresh water zone was observed in the remaining parts of the study area.
机译:遥感和地理信息系统(GIS)技术可以有效地用于识别三角洲的盐水入侵区。考虑到这一点,本研究研究了印度东海岸的Pennar河盆地。在印度南部,戈达瓦里河,克里希纳河和彭纳尔河形成了三个主要的三角洲。彭纳河三角洲拥有最大的运河和灌溉系统之一。该三角洲有很大比例的淡水资源用于农业和水产养殖。由于淡水资源有限和对灌溉水的需求增加,三角洲向海的基本流量排放已大大减少。沿海地区的水管理实践高度重视提高农业产量,而对环境影响的关注却最少,这扰乱了孟加拉湾附近地区的地下水运移路径。这项研究旨在确定水质,并结合遥感和GIS技术确定Pennar三角洲的盐水入侵区。通过使用遥感数据,GIS和现场研究分析水质数据,进行基线研究以量化海水入侵的程度。为实现研究目的,创建了两种类型的数据库,即属性数据库和空间数据库。收集了总共100个地下水样品,并采用标准方案分析了其理化参数,如pH,碱度,硬度,总溶解固体,钠,钾,硫酸盐,硝酸盐等(APHA 1998)。然后使用ARC / INFO的曲线拟合技术和ARCVIEW GIS软件准备显示各种参数空间分布的地图。遥感卫星数据用于通过视觉解释技术准备各种专题层,例如土地利用/土地覆盖,土壤,地貌,排水和坡度。然后,通过整合水质数据,遥感和GIS,开发出识别盐水入侵区的方法。然后根据地下水中总溶解固体的浓度,绘制了一张显示盐度空间分布的最终地图。根据获得的结果,将总面积分为新鲜,轻度和中度盐度区域。在微咸水附近和排水不良的地区观察到中等盐度区。在实际进行水产养殖的区域中观察到了轻微的盐渍区,在研究区域的其余部分中观察到了淡水区。

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