Search Results for: item/10864860/PhD-position-Global-flood-risk-assessment-and-behavioural-modelling-VU-Amsterdam/page/49/www.linkedin.com/in/apoorva-seeram

Climate change and human activity has influence coastal global oceans which may has an effect to the shifting in the composition of pelagic and benthic community. A major challenge to marine science is to discern how marine biota will respond to the environmental disruption caused by climate change and eutrophication. However, much research to date has focused on ecological responses of individual species to rising temperature over short time scale. Thus, marine lakes can be used as a model to predict about the marine biota adaptation in the reef as well as to study consequences and mitigation of future coastal perturbations.

The Indus basin is considered one of the world’s most water-scarce river basins. Food production in the Indus basin mainly depends on irrigated agriculture;; however, the changing climate poses uncertainty in future water availability. Additionally, socio-economic development and population growth will increase food and water demand in the future. Climate-smart agriculture (CSA) can provide a local mechanism for enhancing sustainable food production. This research aims to understand the relationship between field scale (local) CSA and its potential basin-scale impacts. FField-scale CSA practices for enhancing agricultural water productivity will be evaluated. Furthermore, the potential for CSA upup-scaling to enhance sustainable food production and contribute to the sustainable development goals (SDGs) will be assessed.

With the deteriorating state of freshwater resources due to rising demand and pollution all over the world, it becomes important to address water stress in terms of both quantity and quality. In addition, referred to the concept of virtual water trade, virtual water pollution shifting related to inter-regional commodity trade has rarely been investigated, no mention to the elaboration of water quality stress shifting among regions. This is mainly due to lack of data for pollution releasing to water bodies from different sectors.
The overall objective of this research is to estimate the burdens shifting of both water quantity and quality stress through inter-regional commodity trade, at three spatial levels (river basin, national and global) and over the period 1996-2015. Furthermore, this study will analyze the changes of burden shifting patterns when we increasing the water productivity to the benchmarking levels of different sectors.

Agriculture often discharges pollutants such as antibiotics into surface and ground water, causing negative effects on nature and society. This study aims to explore future Agricultural Green Development (AGD) pathways for food and clean water in the North China Plain and China in the 21st century. For this, a multi-pollutant model will be developed to quantify inputs of pollutants to surface and ground water today and in the future. AGD pathways integrating optimistic options will be developed to increase the availability of clean water under sustainable agriculture in the North China Plain and China.

The research is carried out in cooperation with China Agriculture University.