4.6 Article

Water loss by evaporation from China's South-North Water Transfer Project

Journal

ECOLOGICAL ENGINEERING
Volume 95, Issue -, Pages 206-215

Publisher

ELSEVIER
DOI: 10.1016/j.ecoleng.2016.06.086

Keywords

China's South-North Water Transfer Project; Evaporation; Penman equation; Penman-Monteith equation; Priestley-Taylor equation; Water loss

Funding

  1. National Geographic Air and Water Conservation Fund [GEFC08-12]
  2. National Science Foundation of China [NSFC 41301013, 91425301]
  3. Division Of Environmental Biology
  4. Direct For Biological Sciences [1342754] Funding Source: National Science Foundation

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China's South-North Water Transfer Project (SNWTP) is the longest and largest water transfer project in world history. However, the evaporative loss from SNWTP is still unclear. Here we estimated the water loss by evaporation from the open canal and reservoir of the Middle Route of SNWTP (MR-SNWTP), based on field experiments and three mathematical models (Penman equation, Penman-Monteith equation, and Priestley-Taylor equation). Results showed that the Penman equation was the most reliable model, thus it was used to evaluate the evaporative loss from MR-SNWTP. Under the original planned scenario, average annual evaporative loss from the open canal and accompanying reservoir of MR-SNWTP would be approximately 9.00 x 10(8) m(3), of which 35.28% results directly from the construction of MR-SNWTP (3.34% of the planned total aqueduct diversion). However, during the first implement year of MR-SNWTP in 2015, the actual total water loss by evaporation was 6.43 x 10(8) m(3), and the increased evaporative loss was 2.27 x 10(8) m(3) due to the construction of MR-SNWTP, accounting for 8.57% of the actual total aqueduct diversion. This implies that the efficiency of MR-SNWTP from the perspective of water loss would be improved in the future with more water being transferred. Our results demonstrate that there is a general balance between water evaporation and vertical precipitation supplement of MR-SNWTP. (C) 2016 Elsevier B.V. All rights reserved.

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