Water Resources Institutions and Human Health in a Peri-Urban Region in Surat City, India

在水资源综合管理方面，两种办法仍然是两极分化的。第一个着眼于如何整合，而第二个文件通过，批评如何在实践中没有整合。拟议中的研究提供了一种将这两种理论范式结合在一起的方法，以研究不同的机构（从全球到地方）如何整合，以影响城市周边地区与水有关的疾病。与水有关的疾病与快速城市化、工业化、农业技术、气候变化、与竞争用水者有关的冲突以及社会文化因素有关，构成一个复杂的系统。该研究将在两个比较地点（一个受影响的村庄和另一个未受影响的村庄）进行深入研究，以了解全球和地方机构如何整合，以影响印度苏拉特市城市周边地区与水有关的疾病。本研究采用多种研究方法，从不同层面收集定性和定量的信息。收集到的信息将用地理信息系统进行空间制图，并通过贝叶斯网络对各机构进行综合分析。这将有助于确定与水有关的健康疾病的重要驱动因素，并根据现有信息预测其发生的概率。GIS与贝叶斯网络的结合将从数学上描述环境-机构-健康的关系。为期三年的研究项目将包括一名高级研究员和一名初级研究员（导致博士学位），由两名研究助理在该领域提供支持。该研究项目将导致组织讲习班，在国际会议上举行会议，在国际同行评审期刊上发表文章，并在媒体上传播研究结果。这项研究将有助于随后的一个项目，了解与水有关的疾病对该地区社会经济、生态和体制环境的影响。

Integrated Water Resource Management (IWRM) has remained polarized between two approaches. The first looks at how to integrate , while the second documents through, critique how there is no integration in practice . The proposed research offers a way of bringing these two theoretical paradigms together to examine how different institutions (global to local) integrate to influence water-related diseases in the peri-urban region. Water-related diseases are associated with rapid urbanization, industrialization, technology of agricultural practices, climate change, conflicts associated with competing water users and socio-cultural factors, comprising a complex system. The research will conduct an intensive study in two comparative sites (one affected village and another unaffected village) to understand how global and local institutions integrate to influence water-related diseases in the peri-urban region of Surat City, India. The research applies multiple research methods to collect both qualitative and quantitative information at different levels. The information collected will be spatially mapped with Geographic Information Systems (GIS) and the integration of institutions analysed through Bayesian network. This will help in identifying the significant drivers of water-related health diseases and predict the probability of their occurrence given the existing information. The combination of GIS and Bayesian network will mathematically describe the environment-institutions-health relationship. The three year research project wilt consist of a Senior Researcher and a Junior Researcher (leading to PhD), supported in the field by two Research Assistants. The research project will result in organizing workshops, sessions at international conferences, publications in international peer reviewed journals and disseminate the findings in media. The study will contribute to a subsequent project for understanding the impact of the water-related diseases on socio-economic, ecological and Institutional settings in the region..