Multiple linear regression models for the estimation of water flows for forest management and planning in Türkiye

IF 1 4区 环境科学与生态学 Q4 WATER RESOURCES
Hayati Zengin, M. Özcan, Ahmet Salih Değermenci, Tarık Çitgez
{"title":"Multiple linear regression models for the estimation of water flows for forest management and planning in Türkiye","authors":"Hayati Zengin, M. Özcan, Ahmet Salih Değermenci, Tarık Çitgez","doi":"10.17159/wsa/2023.v49.i3.4000","DOIUrl":null,"url":null,"abstract":"While there are many factors, including climatology, geography, topography, vegetation and soil, that affect hydrologic processes, understanding the role of forests seems most essential, due to their manageable nature. In this study, a holistic approach was taken, and possible factors affecting streamflow, including tree, sapling, shrub, herb and soil strata, were measured for 29 small catchments/stream basins located in Turkey. Linear regression models were developed in order to estimate water flow (m³‧ha−1). Several models were suggested for use in practice. These models were based on the data on hand and displayed a sufficient level of explained variance in the dependent variable. Model 5, based on the variablesof catchment area (ha), drainage density, ratio of coniferous stand areas in the catchment (%), tree volume (m³‧ha−1), leaf area index, number of short saplings (number‧ha−1), and topsoil sand rate (%), was recommended for flow estimation, achieving a 0.73 adjR² value for test data. These variables can be obtained as part of a survey and water managers can use them to estimate water flow of the catchment. The generated models can be used in multiple-use planning of forests, e.g. in adjusting the volume of stands to get optimum benefit from wood and water production. One of the most interesting results and one that was opposite to that documented in the general literature, was the positive correlation between tree volume and flow per hectare, which suggests a strategy of growing older tree stands to enable greater water production.","PeriodicalId":23623,"journal":{"name":"Water SA","volume":"2 1","pages":""},"PeriodicalIF":1.0000,"publicationDate":"2023-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Water SA","FirstCategoryId":"93","ListUrlMain":"https://doi.org/10.17159/wsa/2023.v49.i3.4000","RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"WATER RESOURCES","Score":null,"Total":0}
引用次数: 0

Abstract

While there are many factors, including climatology, geography, topography, vegetation and soil, that affect hydrologic processes, understanding the role of forests seems most essential, due to their manageable nature. In this study, a holistic approach was taken, and possible factors affecting streamflow, including tree, sapling, shrub, herb and soil strata, were measured for 29 small catchments/stream basins located in Turkey. Linear regression models were developed in order to estimate water flow (m³‧ha−1). Several models were suggested for use in practice. These models were based on the data on hand and displayed a sufficient level of explained variance in the dependent variable. Model 5, based on the variablesof catchment area (ha), drainage density, ratio of coniferous stand areas in the catchment (%), tree volume (m³‧ha−1), leaf area index, number of short saplings (number‧ha−1), and topsoil sand rate (%), was recommended for flow estimation, achieving a 0.73 adjR² value for test data. These variables can be obtained as part of a survey and water managers can use them to estimate water flow of the catchment. The generated models can be used in multiple-use planning of forests, e.g. in adjusting the volume of stands to get optimum benefit from wood and water production. One of the most interesting results and one that was opposite to that documented in the general literature, was the positive correlation between tree volume and flow per hectare, which suggests a strategy of growing older tree stands to enable greater water production.
用于估算森林管理和规划水流量的多元线性回归模型
虽然有许多因素,包括气候、地理、地形、植被和土壤影响水文过程,但了解森林的作用似乎是最重要的,因为它们具有可管理的性质。在本研究中,采用整体方法,测量了土耳其29个小流域/河流流域的树木、树苗、灌木、草本和土壤地层等可能影响河流流量的因素。为了估算水流量(m³·ha−1),我们建立了线性回归模型。提出了几种可供实际使用的模型。这些模型是基于手头的数据,并在因变量中显示了足够水平的解释方差。模型5基于流域面积(ha)、排水密度、流域针叶林面积比(%)、树木体积(m³·ha−1)、叶面积指数、矮树苗数量(number·ha−1)和表土砂率(%)等变量,推荐用于流量估算,测试数据的值为0.73 adjR²。这些变量可以作为调查的一部分获得,水管理人员可以使用它们来估计集水区的水流量。生成的模型可用于森林的多用途规划,例如调整林分的体积以获得木材和水生产的最佳效益。最有趣的结果之一,与一般文献记载的相反,是树木体积和每公顷流量之间的正相关关系,这表明了一种种植老树的策略,以实现更大的水产量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Water SA
Water SA 环境科学-水资源
CiteScore
2.80
自引率
6.70%
发文量
46
审稿时长
18-36 weeks
期刊介绍: WaterSA publishes refereed, original work in all branches of water science, technology and engineering. This includes water resources development; the hydrological cycle; surface hydrology; geohydrology and hydrometeorology; limnology; salinisation; treatment and management of municipal and industrial water and wastewater; treatment and disposal of sewage sludge; environmental pollution control; water quality and treatment; aquaculture in terms of its impact on the water resource; agricultural water science; etc. Water SA is the WRC’s accredited scientific journal which contains original research articles and review articles on all aspects of water science, technology, engineering and policy. Water SA has been in publication since 1975 and includes articles from both local and international authors. The journal is issued quarterly (4 editions per year).
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信