首页> 外文OA文献 >Assessing the relationships between the spatial variation in land-use spatial patterns and surface water quality
【2h】

Assessing the relationships between the spatial variation in land-use spatial patterns and surface water quality

机译:评估土地利用空间格局的空间变化与地表水质之间的关系

摘要

The purpose of this dissertation was to examine the association between the spatial patterns of urban land uses and surface water quality parameters at the watershed outlet. The aim of the study was to understand the strength and nature of this relationship, and examine new methods of classifying and quantifying contributing urban land-uses and their spatial patterns. The hypothesis of this research was: in an urban watershed, the variation in the spatial patterns of contributing land uses will have a significant impact on the surface water quality parameters at the watershed outlet.This relationship between urbanization and water quality is important terms of understanding and managing urban growth to preserve water resources, especially in dry, arid regions. The outcome of this study will establish and define relationships between patterns of urban land uses and surface water quality parameters at the watershed outlet. Policy makers, watershed managers, and land-use regulators may have special interest in understanding these relationships to develop sustainable urban growth strategies.The urban area of the Las Vegas Valley Watershed was used as a case study to test the research hypothesis. Existing water quality monitoring stations on the four major tributaries to the Las Vegas Wash were used to define four independent watersheds. Geographic Information Systems (GIS) was used to geo-reference water quality monitoring stations and to delineate contributing watersheds at each sampling point. Rainfall events leading to water quality sampling were used to derive contributing landuses within each watershed. The association between the total amount, types, patterns of contributing land uses, and surface water quality parameters at the watershed outlet were tested using Pearson correlation.Correlation results showed very clearly that total amount and types of the contributing land uses cannot fully explain by themselves the variations in the surface water quality parameters at the watershed outlet. Further analysis of the association between the spatial patterns of the contributing land uses and the water quality parameters showed some of the measured water quality parameters to be more sensitive to changes in the spatial patterns of the overall contributing land uses.Two different patterns of contributing land uses were identified: (1) fragmented pattern, the distribution is characterized by a large number of smaller patches, spread across the landscape, and (2) clustered pattern, the distribution is characterized by a smaller number of larger patches in close proximity to each other.We found that some of the water quality parameters, such as TDS, TKN, total N, BOD, and COD to be positively correlated with landscapemetrics describing fragmentation (pH was negatively correlated). The trend for the same parameters was opposite when compared to metrics describing clustered patterns. These results indicated that there is a significant association between water quality parameters at the watershed outlet and the spatial patterns of the contributing land uses.Additionally, this study illustrates that using people oriented land-use classification method, which is based on the actual use of the land ismore appropriate for highly urbanized areas compared to the resource oriented method, which is based on remotely-sensed data and often used for land use and land cover classification.
机译:本文旨在探讨流域出口城市土地利用空间格局与地表水水质参数之间的关系。该研究的目的是了解这种关系的强度和性质,并研究分类和量化贡献城市土地利用及其空间格局的新方法。这项研究的假设是:在一个城市流域中,贡献土地利用的空间格局的变化将对该流域出口处的地表水水质参数产生重大影响。并管理城市发展以保护水资源,特别是在干旱,干旱地区。这项研究的结果将建立并定义城市土地利用方式与流域出口处地表水水质参数之间的关系。决策者,分水岭管理者和土地利用监管机构可能对了解这些关系以制定可持续的城市增长战略特别感兴趣。拉斯维加斯山谷流域的市区被用作案例研究以检验研究假设。拉斯维加斯洗车场的四个主要支流上的现有水质监测站用于定义四个独立的分水岭。地理信息系统(GIS)用于对水质监测站进行地理参考,并勾划出每个采样点的集水区。导致水质采样的降雨事件被用来推导出每个流域内的土地利用贡献。利用Pearson相关性检验了流域出口的总数量,类型,土地用途类型和地表水水质参数之间的相关性,相关结果非常清楚地表明,总的土地类型和用途无法单独解释。流域出口处地表水水质参数的变化。进一步分析了贡献土地利用的空间格局与水质参数之间的联系,发现一些测得的水质参数对总体贡献土地利用的空间格局的变化更为敏感。确定了用途:(1)零散的图案,其分布特征是分布在整个景观中的大量较小的斑块;(2)聚类的图案,其分布特征是在每个紧密接近的区域中分布着少量的较大的斑块我们发现,某些水质参数(例如TDS,TKN,总氮,BOD和COD)与描述碎片化的景观测量法呈正相关(pH呈负相关)。与描述聚类模式的指标相比,相同参数的趋势相反。这些结果表明,流域出口处的水质参数与土地用途的空间格局之间存在显着相关性。此外,本研究还表明,使用以人为本的土地利用分类方法是基于土地利用的实际用途。与基于资源的方法相比,该土地更适合高度城市化的地区,该方法基于遥感数据,通常用于土地用途和土地覆被分类。

著录项

  • 作者

    Khater Majed A.;

  • 作者单位
  • 年度 2005
  • 总页数
  • 原文格式 PDF
  • 正文语种 English
  • 中图分类

相似文献

  • 外文文献
  • 中文文献
  • 专利

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号