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Evaluating Control of Various Hydrological Factors on Selection of Groundwater-Level Monitoring Networks in Irrigated Areas Using a Geospatial Approach

机译:利用地理空间方法评价灌溉区地下水水位监测网选择中的各种水文因素的控制

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In a complex aquifer system, groundwater levels are highly dynamic in nature and measurement of groundwater levels requires systematic networks of observation wells (OWs) considering hydrological variations. The existing previously developed groundwater monitoring networks make use of limited hydrological input parameters, mainly groundwater level (GWL). In addition to GWL, other factors that influence groundwater availability are required to finalize the number and location of the OWs in a groundwater monitoring network. An understanding of the control of different hydrological factors is essential prior to designing groundwater monitoring networks. The purpose of this study is to evaluate the impact of hydrological factors on the selection and location of OWs using a geospatial approach. This paper presents a case study of the Wainganga basin located in central India, where irrigation takes place both through ground and surface water. Factors examined in the present study are changing seasons, cropping pattern, the normalized difference vegetation index (NDVI), type of aquifer, and GWLs in command and noncommand areas. From the NDVI analysis using moderate-resolution imaging spectroradiometer data, it may be concluded that, in the absence of GWL data, NDVI can also be an indicator of groundwater utilization in irrigated areas. Results from the study identify preferable zones where OWs may be added (west, southeast, and some central parts of the study area) based on hydrological factors in the complex aquifer system. Parameters described in the study can also be useful in designing, modifying, and periodically reexamining existing groundwater monitoring networks and in facilitating more reasonable monitoring network design.
机译:在复杂的含水层系统中,地下水位本质上是高度动态的,而地下水位的测量需要考虑水文变化的系统化的观测井网络。现有的先前开发的地下水监测网络利用有限的水文输入参数,主要是地下水位(GWL)。除了GWL之外,还需要其他影响地下水可用性的因素来最终确定地下水监测网络中OW的数量和位置。在设计地下水监测网络之前,必须了解不同水文因素的控制。这项研究的目的是使用地理空间方法评估水文因素对OWs的选择和位置的影响。本文介绍了一个位于印度中部的Wainganga盆地的案例研究,该地区通过地下水和地表水进行灌溉。在本研究中研究的因素是命令区和非命令区的季节变化,耕作模式,归一化植被指数(NDVI),含水层类型以及GWL。从使用中等分辨率成像光谱仪数据进行的NDVI分析可以得出结论,在没有GWL数据的情况下,NDVI还可作为灌溉区域地下水利用的指标。研究结果基于复杂含水层系统中的水文因素,确定了可能添加OW的优选区域(研究区域的西部,东南部和某些中部地区)。该研究中描述的参数在设计,修改和定期重新检查现有的地下水监测网络以及促进更合理的监测网络设计方面也很有用。

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