Advertisement

Water Resources Management

, Volume 33, Issue 8, pp 2973–2973 | Cite as

Correction to: A Recursive Approach to Long-Term Prediction of Monthly Precipitation Using Genetic Programming

  • Suning Liu
  • Haiyun ShiEmail author
Correction
  • 233 Downloads

Correction to: Water Resources Management (2019) 33:1103–1121

  https://doi.org/10.1007/s11269-018-2169-0

The article A Recursive Approach to Long-Term Prediction of Monthly Precipitation Using Genetic Programming, written by Suning Liu and Haiyun Shi was originally published electronically on the publisher’s internet portal (currently SpringerLink) on 16 December 2018 without open access.

With the author(s)’ decision to opt for Open Choice the copyright of the article changed on May 2019 to © The Author(s) 2019 and the article is forthwith distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits use, duplication, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

The original article has been corrected.

Notes

Copyright information

© The Author(s) 2019

Authors and Affiliations

  1. 1.State Environmental Protection Key Laboratory of Integrated SurfaceWater-Groundwater Pollution Control, School of Environmental Science and EngineeringSouthern University of Science and TechnologyShenzhenChina
  2. 2.Guangdong Provincial Key Laboratory of Soil and Groundwater Pollution Control, School of Environmental Science and EngineeringSouthern University of Science and TechnologyShenzhenChina
  3. 3.Department of Civil EngineeringThe University of Hong KongHong KongChina
  4. 4.State Key Laboratory of Plateau Ecology and AgricultureQinghai UniversityXiningChina

Personalised recommendations