Optimal design of groundwater-level monitoring networks

Forecasting groundwater level using artificial neural networks

P. D. Sreekanth*, N. Geethanjali, P. D. Sreedevi, Shakeel Ahmed, N. Ravi Kumar and P. D. Kamala Jayanthi National Research Centre for Cashew, Puttur 574 202, India Sri Krishnadevaraya University, Anantapur 515 003, India National Geophysical Research Institute, Hyderabad 500 007, India Central Plantation Crops Research Institute, Kasaragod 671 124, India Indian Institute of Horticulture Researc...

Optimal Monitoring Design∗

This paper considers a Principal-Agent model with hidden action in which the Principal can monitor the Agent by acquiring independent signals conditional on effort at a constant marginal cost. The Principal aims to implement a target effort level at minimal cost. The main result of the paper is that the optimal information acquisition strategy is a two-threshold policy and, consequently, the eq...

Optimal Design with Design Networks

As part of decision-theoretic collaborative design, this work addresses representation and computation issues for a set-based design agent. We refine the definition of design networks to be more expressive for design knowledge and more effective for guiding model construction and verification. We propose a compiled structure of design networks and a suite of algorithms that computes optimal des...

Current Status of Groundwater Monitoring Networks in Korea

Korea has been operating groundwater monitoring systems since 1996 as the Groundwater Act enacted in 1994 enforces nationwide monitoring. Currently, there are six main groundwater monitoring networks operated by different government ministries with different purposes: National Groundwater Monitoring Network (NGMN), Groundwater Quality Monitoring Network (GQMN), Seawater Intrusion Monitoring Net...

Optimal Mixed - Level Supersaturated Design