Abstract This manuscript illustrates the ecological and environmental issues associated with the economic growth in urban development. The significant characteristic challenges in environmental growth include poor air quality and sanitation, increased population growth, waste management problems, and excessive energy consumption. Hence in this paper, a systematic Effective Modeling and Geospatial Information Framework (SEM-GSIF) has been proposed to overcome the environmental issues in urban areas. The proposed framework extended to predict three types of environmental problems that include non-linear behavior of land, improper utilization of resources, and pollution. Here, The SEM is used to evaluate the non-linear behavior of land and resource utilization over time analysis. Further, the GSIF method is used to monitor the air quality of the urban environment from the harmful effects of emission over spatial analysis. The modeling simulation helps to improve the accuracy of the non-linear behavior of land and minimize the error rate. Hence, the integrated evaluation results suggest that the proposed system is sustainable and more effective for urban development in the long term perspective.

中文翻译：

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城市地区环境问题的系统有效建模和地理空间信息框架

摘要 本手稿阐述了与城市发展中的经济增长相关的生态和环境问题。环境增长的重大特征挑战包括空气质量和卫生条件差、人口增长增加、废物管理问题和能源消耗过多。因此，在本文中，提出了一种系统的有效建模和地理空间信息框架（SEM-GSIF）来克服城市地区的环境问题。提议的框架扩展到预测三种类型的环境问题，包括土地的非线性行为、资源的不当利用和污染。在这里，SEM 用于评估土地和资源利用随时间分析的非线性行为。更多，GSIF方法用于从排放的有害影响超过空间分析来监测城市环境的空气质量。建模仿真有助于提高土地非线性行为的准确性并最大限度地减少错误率。因此，综合评估结果表明，从长远来看，所提出的系统是可持续的，对城市发展更有效。