Porush Kumar, Mahendra Pratap Choudhary, Anil K Mathur
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High-intensity hotspots were found in densely populated and mixed-use zones, such as Ward 15 (0.61 kg/person/day) and Ward 5 (0.88 kg/person/day). Spatial autocorrelation analysis confirmed significant clustering (Global Moran's I = 0.056, z = 2.59, p = 0.009), with prominent hotspots identified in Wards 12, 13 (Kota-North) and Wards 16, 17 (Kota-South) at 99% confidence. Residential zones contributed the highest MSW load (541.97 t/day), followed by industrial (55.69 t/day) and commercial areas (50.20 t/day). Urban land use, population density, and mixed-use zoning significantly influence waste generation patterns. 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引用次数: 0
摘要
了解城市固体废物(MSW)产生的空间变异性对于明智的城市规划和可持续的废物管理至关重要。本研究考察了印度哥打市城市生态系统中土地利用模式与城市生活垃圾产生之间的关系,以确定空间集群并评估城市形态和密度的影响。采用热点分析(Getis-Ord Gi*)、全球和局部Moran’s I、覆盖分析和区域统计等方法,对146个城市病区进行了地理空间统计综合分析。废物产生数据与土地利用类型和人口密度在空间上联系起来,以发现统计上显著的模式。各区每天产生的废物量为0.43至11.13公吨(吨/天)。在人口密集和混合功能区发现了高强度热点,如15区(0.61 kg/人/天)和5区(0.88 kg/人/天)。空间自相关分析证实了显著的聚类(Global Moran’s I = 0.056, z = 2.59, p = 0.009),在12、13区(Kota-North)和16、17区(Kota-South)发现了突出的热点,置信区间为99%。居住区贡献的城市生活垃圾负荷最高(541.97 t/d),其次是工业区(55.69 t/d)和商业区(50.20 t/d)。城市土地利用、人口密度和混合用途分区显著影响废物产生模式。本文开发的空间统计框架为快速城市化城市的废物规划、分区政策和可持续资源管理提供了可扩展的决策支持工具。
Analyzing the relationship between municipal solid waste generation and urban land use using integrated geospatial and spatial statistical techniques.
Understanding the spatial variability of municipal solid waste (MSW) generation is critical for informed urban planning and sustainable waste management. This study examines the relationship between land use patterns and MSW generation across the urban ecosystem of Kota City, India, to identify spatial clusters and assess the influence of urban form and density. An integrated geospatial-statistical approach was applied to 146 urban wards using Hotspot Analysis (Getis-Ord Gi*), Global and Local Moran's I, overlay analysis, and zonal statistics. Waste generation data were spatially linked with land use typologies and population density to detect statistically significant patterns. Daily waste generation ranged from 0.43 to 11.13 metric tons (t/day) across wards. High-intensity hotspots were found in densely populated and mixed-use zones, such as Ward 15 (0.61 kg/person/day) and Ward 5 (0.88 kg/person/day). Spatial autocorrelation analysis confirmed significant clustering (Global Moran's I = 0.056, z = 2.59, p = 0.009), with prominent hotspots identified in Wards 12, 13 (Kota-North) and Wards 16, 17 (Kota-South) at 99% confidence. Residential zones contributed the highest MSW load (541.97 t/day), followed by industrial (55.69 t/day) and commercial areas (50.20 t/day). Urban land use, population density, and mixed-use zoning significantly influence waste generation patterns. The spatial-statistical framework developed herein provides a scalable decision-support tool for waste planning, zoning policy, and sustainable resource management in rapidly urbanizing cities.
期刊介绍:
Integrated Environmental Assessment and Management (IEAM) publishes the science underpinning environmental decision making and problem solving. Papers submitted to IEAM must link science and technical innovations to vexing regional or global environmental issues in one or more of the following core areas:
Science-informed regulation, policy, and decision making
Health and ecological risk and impact assessment
Restoration and management of damaged ecosystems
Sustaining ecosystems
Managing large-scale environmental change
Papers published in these broad fields of study are connected by an array of interdisciplinary engineering, management, and scientific themes, which collectively reflect the interconnectedness of the scientific, social, and environmental challenges facing our modern global society:
Methods for environmental quality assessment; forecasting across a number of ecosystem uses and challenges (systems-based, cost-benefit, ecosystem services, etc.); measuring or predicting ecosystem change and adaptation
Approaches that connect policy and management tools; harmonize national and international environmental regulation; merge human well-being with ecological management; develop and sustain the function of ecosystems; conceptualize, model and apply concepts of spatial and regional sustainability
Assessment and management frameworks that incorporate conservation, life cycle, restoration, and sustainability; considerations for climate-induced adaptation, change and consequences, and vulnerability
Environmental management applications using risk-based approaches; considerations for protecting and fostering biodiversity, as well as enhancement or protection of ecosystem services and resiliency.