Groundwater Asia

Mapping Groundwater Resilience to Climate Change and Human Development in Asian Cities
Mapping Groundwater Resilience to Climate Change and Human Development in Asian Cities

Publications

March 2016
Groundwater is the essential resource for various uses and has great economic importance especially in the areas like Mekong Delta, which is the home for some 18 million people and produces a half of Vietnam’s rice and contributes a substantial part of the country’s [...]
September 2016
This study aimed at evaluating three index-overlay methods of vulnerability assessment (i.e., DRASTIC, GOD, and SI) for estimating risk to pollution of shallow groundwater aquifer in the Kathmandu Valley, Nepal. The Groundwater Risk Assessment Model (GRAM) model was used to compute the risk of [...]
February 2017
This study is the first to assess land subsidence in the Kathmandu Valley, Nepal. Land subsidence simulations were based on a fully calibrated groundwater (GW)flow model developed using a coupled surface–subsurface modelling system. Subsidence is predicted to occur as a result of deep aquifer [...]
October 2018
The objective of this research is to develop a fuzzy-based groundwater sustainability index (FGSI) model to evaluate the sustainability of groundwater system at selected cities in Asian.   The new Mamdani type fuzzy-based inference system known as FGSI was developed. It contains five components [...]
April 2020
Discrete groundwater level datasets are interpolated often using kriging group of models to produce a spatially continuous groundwater level map. There is always some level of uncertainty associated with different interpolation methods. Therefore, we developed a new trend function with the mean groundwater level [...]
January 2019
Groundwater level prediction and forecasting using univariate time series models are useful for effective groundwater management under data limiting conditions. The seasonal autoregressive integrated moving average (SARIMA) models are widely used for modeling groundwater level data as the groundwater level signals possess the seasonality [...]