A data‐based approach to determining the optimal water ponding scale and zone for small urban wetland restoration

Author:

Nakashima Naohisa1ORCID,Tsuji Osamu2,Muneoka Toshimi1,Kimura Masato1

Affiliation:

1. Department of Agro‐environmental Science Obihiro University of Agriculture and Veterinary Medicine Obihiro Hokkaido 080‐8555 Japan

2. Zukosha Co., Ltd Obihiro Hokkaido 080‐0048 Japan

Abstract

This study established a planning framework for effective small‐scale urban wetland restoration by adapting an analytical template used for watershed‐scale projects. We evaluated the optimal water ponding scale and location for small urban wetland restoration. We calculated the achievable water ponding area in Oyama Wetland, Hokkaido, Japan, by the use of an artificial water supply and elevation differences without reliance on precipitation. The volume of infiltration into the sediments, a component of the water balance equation, was estimated during a temporary suspension of the artificial water supply, and the estimate was then validated by modeling the decrease of the water ponding area from 2008, before the introduction of the artificial water supply, with high reproducibility (Nash–Sutcliffe efficiency = 0.68). The estimated attainable water ponding area was 1172 m2. We identified where a water ponding location could be most efficiently established through principal component and cluster analyses of groundwater level observation data collected from 2008 to 2010. Areas with high groundwater levels (first axis) and stable groundwater levels (second axis) accounted for approximately 73% of the cumulative contribution ratio. The calculated potentially achievable ponding area was consistent with the area achieved by the actual wetland restoration. This study shows how efficient and safe restoration of urban wetlands can be achieved with a dataset that volunteers and others can obtain independently. Long‐term data analysis using the adapted template allows for clear identification of discrepancies between desired reference conditions and current conditions, facilitating the setting of objectives that promote long‐term monitoring.

Publisher

Wiley

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3