A proper method on real-time monitoring of organic biomass degradation and its evaluation for safeguarding the ecosystem is the need of the hour. The work process designed in this study is to demarcate the anaerobic digestion potential using kinetic modelling and web GIS application methods. Wastewater source that causes pollution are identified through satellite maps such as solid earth, drain system, surface of earth structure, land filling and land use. The grabbed data are utilized for identifying the concentration of sludge availability. Based on literature resource multi influencing factor techniques are introduced along with overlay method to differentiate digestion potential of sludge source. This study optimizes the biodegradation potential of domestic sewage at different sludge concentrations in a pilot model operated with the samples identified through topographical drainage survey. The materialization of devices is using the Internet of Things (IoTs), that is pragmatic to be the promising tendency. Kinetic study, methanogenic assay test are performed with three different cation binding agents to find its solubilization potential and methane evolution, which is further subjected to digestion potential in anaerobic conditions for possible application in the field of environmental science. Risk analysis reveals that land filling method will have highest impact on maintaining sustainable environment. The results outcome on natural biodegradation may be used for individual house hold wastewater management for the locality.

实时需要一种实时的方法来实时监测有机生物量的降解及其评估，以保护生态系统。本研究设计的工作过程是使用动力学建模和Web GIS应用方法来确定厌氧消化潜能。可通过卫星地图（例如，固体地球，排水系统，地球结构表面，土地填充和土地利用）来识别造成污染的废水源。所获取的数据用于识别污泥可利用性的浓度。在文献资源的基础上，引入了多种影响因素技术以及叠加法，以区分污泥源消化潜能。这项研究在通过地形排水调查确定的样本运行的试验模型中，优化了不同污泥浓度下生活污水的生物降解潜力。设备的物化正在使用物联网（IoT），这是务实的趋势。用三种不同的阳离子结合剂进行动力学研究，产甲烷分析试验，以发现其增溶潜力和甲烷生成，然后在厌氧条件下进一步消化潜力，可用于环境科学领域。风险分析表明，填埋方法将对维持可持续环境产生最大影响。有关自然生物降解的结果可用于当地的单个家庭污水管理。