Impact of population growth and land use and land cover (LULC) changes on water quality in tourism-dependent economies using a geographically weighted regression approach
Impact of population growth and land use and land cover (LULC) changes on water quality in tourism-dependent economies using a geographically weighted regression approach
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DOI：
10.1007/s11356-020-12285-8
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发表时间：
2021-01
影响因子：
5.8
通讯作者：
A. B. Rimba;G. Mohan;S. Chapagain;A. Arumansawang;C. Payus;K. Fukushi;Husnayaen;T. Osawa;
中科院分区：
文献类型：
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作者：
A. B. Rimba;G. Mohan;S. Chapagain;A. Arumansawang;C. Payus;K. Fukushi;Husnayaen;T. Osawa;
本文旨在评估土地利用和土地覆盖（LULC）指标和人口密度对水质参数的影响，在干旱和雨季在印度尼西亚的旅游区。本研究采用最小二乘回归（OLS）和Pearson相关分析来考察各因子之间的关系，所有LULC和人口密度与大部分水质参数均呈显著相关，P值分别为0.01和0.05。例如，DO与人口密度、农场和旱季建筑物高度相关;然而，每个观测点的LULC和人口密度的百分比不同。由于流域特征和污染源在不同的位置是不一样的，因此浓度值在空间上应该是不同的。地理加权回归（GWR）分析人口密度、LULC类别（即，在印度尼西亚巴厘省，旅游城市化水平不同的三条选定河流（Ayung、巴东和Mati）的11项水质指标。结果表明，与OLS估计相比，GWR在所有参数和季节中的R2值和Akaike信息准则（AIC）方面表现良好。此外，研究结果表明，人口密度作为一个关键指标，与BOD和E具有高度显着的关联。大肠杆菌参数。城市建成区面积与Ni、Pb、KMnO 4、TSS等水质参数呈正相关。DO与建成区面积呈负相关，表明建成区面积的增加有使水质恶化的趋势。因此，我们的研究结果可以作为输入，以提供一个参考，地方政府和利益相关者发布的水和LULC的政策，以实现该地区的可持续水环境。
This paper aims to assess the influence of land use and land cover (LULC) indicators and population density on water quality parameters during dry and rainy seasons in a tourism area in Indonesia. This study applies least squares regression (OLS) and Pearson correlation analysis to see the relationship among factors, and all LULC and population density were significantly correlated with most of water quality parameter withPvalues of 0.01 and 0.05. For example, DO shows high correlation with population density, farm, and built-up in dry season; however, each observation point has different percentages of LULC and population density. The concentration value should be different over space since watershed characteristics and pollutions sources are not the same in the diverse locations. The geographically weighted regression (GWR) analyze the spatially varying relationships among population density, LULC categories (i.e., built-up areas, rice fields, farms, and forests), and 11 water quality indicators across three selected rivers (Ayung, Badung, and Mati) with different levels of tourism urbanization in Bali Province, Indonesia. The results explore that compared with OLS estimates, GWR performed well in terms of theirR2values and the Akaike information criterion (AIC) in all the parameters and seasons. Further, the findings exhibit population density as a critical indicator having a highly significant association with BOD andE. Coliparameters. Moreover, the built-up area has correlated positively to the water quality parameters (Ni, Pb, KMnO4and TSS). The parameter DO is associated negatively with the built-up area, which indicates increasing built-up area tends to deteriorate the water quality. Hence, our findings can be used as input to provide a reference to the local governments and stakeholders for issuing policy on water and LULC for achieving a sustainable water environment in this region.