Climate Change Adaptation in the Water Supply Sector - New Jersey

From the New Jersey Climate Adaptation Alliance and Rutgers University, this report provides an overview of projected climate change impacts on water supply in New Jersey, as well as recommended adaptation measures and policy responses to address these issues. The report explores a wide range of local and state level adaptation options for the protection and management of water supply resources and utilities - and is intended to inform the policy discussion on water management in New Jersey to better include climate change impacts.

The paper first details how climate change will modify water availability and quality, increase temperature change effects on water quality and landscapes, and disrupt aquatic ecosystems. Numerous climate impacts under the categories of hydrologic changes, temperature, sea level rise, coastal storm intensity, and aquatic ecosystem changes are discussed. 

The adaptation planning section describes the differences between hazard mitigation planning and that of utilities; various water supply modeling tools; asset risk and management in relation to climate impacts; water supply utility management; and source water conservation.

The role of regulatory agencies in integrating climate impacts into source water protection and management is discussed in terms of stormwater management, water allocation, flood hazard areas, salt water intrusion, and mitigation requirements. The report also provides examples of successful strategies form state and local decision-makers to address climate impacts on New Jersey’s water supply.

The last section of the white paper provides a quick overview of the larger funding sources available for climate change adaptation in the water supply sector. For all categories, general government funds may be available, as allocated through normal budgeting procedures to fund staff efforts and research projects.


The Basis and Background (Millsaps, 2016) document for this project provides more detail and data from the literature review on which these findings are based.



Publication Date: August 4, 2016

Author or Affiliated User:

  • Daniel Van Abs

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