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Impacts of urbanization on land use /cover changes and its probable implications on local climate and groundwater level

机译:城市化对土地使用/掩护变化的影响及其对当地气候和地下水位的可能影响

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摘要

Given that urbanization is considered as one of the most significant anthropogenic alterations of the environmental framework, the present study attempts to understand spatiotemporal characteristics of urban growth and its implications for the hydro-meteorological parameters in the Howrah Municipal Corporation (HMC) of the Indian state of West Bengal. The empirical approach of the paper is based on land use/land cover (LULC) changes and normalized difference built-up index (NDBI) computed using remote sensing and GIS techniques. Spatiotemporal satellite images and conventional data are used to characterize the urban growth process, whereas K-Means based unsupervised classification technique is used for LULC changes. Inverse distance weighting (IDW) interpolation method is applied for the spatial distribution of rainfall, temperature and groundwater level analysis. In order to examine whether hydro-meteorological (e.g., rainfall, temperature) parameters have any relationship with hydrological components (e.g., groundwater level) the Kendalls Tau test was performed. It is found that the maximum urban built-up area has increased during the last two decades with fluctuations in depth to groundwater level in northern, north-western and south-western side of the city. Notably, built-up expansions have taken place from the north-eastern to the south-eastern part. There are evidences of urban sprawl or shrinkage indicating expansion of built-up area and thus causing environmental degradation in the city area. While the methodology used in the paper has the potential for understanding the urbanization process, the findings have important implications for designing necessary policies and regulations. Keywords: Urbanization, LULC change, Groundwater, Kendalls Tau, Geographically Weighted Regression, Remote Sensing, GIS
机译:鉴于城市化被认为是环境框架最重要的人体化改变之一,本研究试图了解城市成长的时尚特征及其对印度州哈哈市(HMC)的水力气象参数的影响西孟加拉邦。本文的经验方法是基于土地使用/陆地覆盖(LULC)的变化和使用遥感和GIS技术计算的归一化差异建立索引(NDBI)。时空卫星图像和传统数据用于表征城市生长过程,而基于K-Means的无监督的分类技术用于LULC变化。逆距离加权(IDW)插值方法应用于降雨,温度和地下水位分析的空间分布。为了检查水流气象(例如,降雨,温度)参数是否具有与水文组分(例如,地下水位)的任何关系,进行了KENDALLS TAU测试。结果发现,在城市北部,西南西南部和西南部地区的地下水位波动的最大城市建筑面积增加了城市建筑面积。值得注意的是,建立的扩展从东北部到东南部。表明城市蔓延或缩小的证据表明建筑面积的扩张,从而导致城市地区的环境退化。虽然本文中使用的方法具有理解城市化进程的可能性,但该研究结果对设计必要的政策和法规具有重要意义。关键词:城市化,LULC变化,地下水,肯德尔迪,地理加权回归,遥感,GIS

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