• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

人为干扰对山区河流时空水质变化的影响:以博尔卡大坝流域为例

The impacts of human-induced disturbances on spatial and temporal stream water quality variations in mountainous terrain: A case study of Borcka Dam Watershed.

作者信息

Özalp Mehmet, Yildirimer Saim, Erdoğan Yüksel Esin

机构信息

Dept. of Forest Engineering, Faculty of Forestry, Artvin Coruh University, Artvin, Turkey.

Karabuk University, Department of Forest Engineering, Karabuk, Turkey.

出版信息

Heliyon. 2023 Jul 31;9(8):e18827. doi: 10.1016/j.heliyon.2023.e18827. eCollection 2023 Aug.

DOI:10.1016/j.heliyon.2023.e18827
PMID:37576210
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10415894/
Abstract

Unaltered watersheds with natural vegetation cover (forest, grasslands, etc.) provide several ecological benefits in addition to providing freshwater, controlling water levels, and supporting flourishing streamside ecosystems. However, as in many watersheds in the World, the research area in this study, the Borcka Dam Watershed (BDW), has been affected by many human-induced disturbances affecting a wide area of forest and grassland areas as well as soil and water resources. Therefore, the objective of this study was to assess and evaluate the possible effects of anthropogenic disturbances, particularly on annual changes in water discharge, some water quality parameters, and total suspended sediment (TSS) amounts in the main streams of four sub-watersheds (Fabrika, Godrahav, Hatila, and Murgul) and the reservoir of the dam. In addition, we intend to confirm that land use change and/or transformation play a significant role in influencing stream water quality. The YSI/Professional-Plus, a portable water quality measurement device, was used to determine the amounts of pH, dissolved oxygen (DO), total dissolved substance (TDS), ammonium (NH-N), nitrate (NO-N), salinity, electrical conductivity (EC), and temperature besides measuring discharge and total suspended sediments (TSS) from a total of 27 sampling points in the field. Although the results revealed that the annual mean values of all water quality parameters for all four streams were mostly in good condition, for some time and points of the measurements, several parameters were found to be above the official water quality standards due to the intensive aforementioned anthropogenic activities, particularly in the stream waters of Murgul (e.g. pH and TSS being 10,84 and 236 mg/L, respectively) and Fabrika (e.g. EC of 412 μs/cm; DO of 4.44 mg/L; 14 ml of NO-N) sub-watersheds. These outcomes indicate that these two sub-watersheds have been impacted more severely by the human-induced disturbances compared to Hatila and Godrahav sub-watersheds.

摘要

拥有自然植被覆盖(森林、草原等)的未受改变的流域,除了提供淡水、控制水位和支持繁荣的溪边生态系统外,还带来了多种生态效益。然而,与世界上许多流域一样,本研究的研究区域博尔卡大坝流域(BDW)受到了许多人为干扰的影响,这些干扰影响了大面积的森林和草原地区以及土壤和水资源。因此,本研究的目的是评估和评价人为干扰可能产生的影响,特别是对四个子流域(法布里卡、戈德拉哈夫、哈蒂拉和穆尔古尔)主要溪流以及大坝水库的年径流量变化、一些水质参数和总悬浮沉积物(TSS)量的影响。此外,我们打算确认土地利用变化和/或转变在影响溪流水质方面发挥着重要作用。使用便携式水质测量设备YSI/Professional-Plus,除了在实地总共27个采样点测量流量和总悬浮沉积物(TSS)外,还用于测定pH值、溶解氧(DO)、总溶解物质(TDS)、铵(NH-N)、硝酸盐(NO-N)、盐度、电导率(EC)和温度。尽管结果显示所有四条溪流的所有水质参数的年均值大多状况良好,但在测量的某些时间和地点,由于上述强烈的人为活动,发现几个参数高于官方水质标准,特别是在穆尔古尔(例如pH值为10.84,TSS为236毫克/升)和法布里卡(例如EC为412微秒/厘米;DO为4.44毫克/升;NO-N为14毫克/升)子流域的溪流水质中。这些结果表明,与哈蒂拉和戈德拉哈夫子流域相比,这两个子流域受到人为干扰的影响更为严重。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1eed/10415894/cfcf563dc671/gr17.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1eed/10415894/4c0425e0bf27/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1eed/10415894/07a997b7b2cd/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1eed/10415894/9a59fbf490d3/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1eed/10415894/aa16b8b862cf/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1eed/10415894/b5cf82d0dc6e/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1eed/10415894/d75063e252c0/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1eed/10415894/d1fd88588f7f/gr7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1eed/10415894/b082ccc73856/gr8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1eed/10415894/9a9988a2b80f/gr9.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1eed/10415894/f14f40e17430/gr10.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1eed/10415894/ca78c3396451/gr11.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1eed/10415894/d1c21cd0c5ac/gr12.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1eed/10415894/6754390fd981/gr13.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1eed/10415894/f29f07ac0757/gr14.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1eed/10415894/b00c4de814ea/gr15.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1eed/10415894/fbf3902760ab/gr16.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1eed/10415894/cfcf563dc671/gr17.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1eed/10415894/4c0425e0bf27/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1eed/10415894/07a997b7b2cd/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1eed/10415894/9a59fbf490d3/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1eed/10415894/aa16b8b862cf/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1eed/10415894/b5cf82d0dc6e/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1eed/10415894/d75063e252c0/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1eed/10415894/d1fd88588f7f/gr7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1eed/10415894/b082ccc73856/gr8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1eed/10415894/9a9988a2b80f/gr9.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1eed/10415894/f14f40e17430/gr10.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1eed/10415894/ca78c3396451/gr11.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1eed/10415894/d1c21cd0c5ac/gr12.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1eed/10415894/6754390fd981/gr13.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1eed/10415894/f29f07ac0757/gr14.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1eed/10415894/b00c4de814ea/gr15.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1eed/10415894/fbf3902760ab/gr16.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1eed/10415894/cfcf563dc671/gr17.jpg

相似文献

1
The impacts of human-induced disturbances on spatial and temporal stream water quality variations in mountainous terrain: A case study of Borcka Dam Watershed.人为干扰对山区河流时空水质变化的影响:以博尔卡大坝流域为例
Heliyon. 2023 Jul 31;9(8):e18827. doi: 10.1016/j.heliyon.2023.e18827. eCollection 2023 Aug.
2
Solute and sediment export from Amazon forest and soybean headwater streams.亚马逊森林和大豆源头溪流中的溶质和泥沙输出。
Ecol Appl. 2017 Jan;27(1):193-207. doi: 10.1002/eap.1428.
3
Importance of the vegetation-groundwater-stream continuum to understand transformation of biogenic carbon in aquatic systems - A case study based on a pine-maize comparison in a lowland sandy watershed (Landes de Gascogne, SW France).植被-地下水-水流连续体对于理解水生系统中生物成因碳转化的重要性——以法国西南部加斯科涅低地沙质流域中松-玉米对比为例的研究
Sci Total Environ. 2019 Apr 15;661:613-629. doi: 10.1016/j.scitotenv.2019.01.152. Epub 2019 Jan 16.
4
High resolution stream water quality assessment in the Vancouver, British Columbia region: a citizen science study.不列颠哥伦比亚省温哥华地区高分辨率河流水质评估:一项公民科学研究。
Sci Total Environ. 2017 Dec 15;603-604:745-759. doi: 10.1016/j.scitotenv.2017.02.195. Epub 2017 Apr 13.
5
Coupled effects of natural and anthropogenic controls on seasonal and spatial variations of river water quality during baseflow in a coastal watershed of Southeast China.中国东南部沿海流域基流期间自然和人为控制对河流水质季节和空间变化的耦合效应。
PLoS One. 2014 Mar 11;9(3):e91528. doi: 10.1371/journal.pone.0091528. eCollection 2014.
6
Land use scenarios, seasonality, and stream identity determine the water physicochemistry of tropical cloud forest streams.土地利用情景、季节性和溪流特征决定了热带云雾林溪流的水物理化学性质。
PeerJ. 2023 Jun 5;11:e15487. doi: 10.7717/peerj.15487. eCollection 2023.
7
Exceedance Frequency Analysis of Contaminants in Streams Under Dry-Weather Conditions in Denton, Texas.德克萨斯州丹顿市干旱天气条件下溪流中污染物的超标频率分析
Bull Environ Contam Toxicol. 2016 Feb;96(2):254-8. doi: 10.1007/s00128-015-1691-5. Epub 2015 Nov 23.
8
Statistical assessment of nonpoint source pollution in agricultural watersheds in the Lower Grand River watershed, MO, USA.美国密苏里州下大格兰德河流域农业流域非点源污染的统计评估。
Environ Sci Pollut Res Int. 2019 Jan;26(2):1487-1506. doi: 10.1007/s11356-018-3682-7. Epub 2018 Nov 14.
9
Predicting water quality in unmonitored watersheds using artificial neural networks.利用人工神经网络预测未监测流域的水质。
J Environ Qual. 2010 Jul-Aug;39(4):1429-40. doi: 10.2134/jeq2009.0441.
10
Soil moisture change analysis under watershed management practice using in situ and remote sensing data in a paired watershed.基于原位和遥感数据的流域管理实践下的土壤湿度变化分析:一个成对流域案例。
Environ Monit Assess. 2021 Apr 24;193(5):299. doi: 10.1007/s10661-021-09078-y.

本文引用的文献

1
Comprehensive toxicity screening of Pazarsuyu stream water containing heavy metals and protective role of lycopene.含重金属的帕扎尔舒尤溪的综合毒性筛查及番茄红素的保护作用。
Sci Rep. 2022 Oct 5;12(1):16615. doi: 10.1038/s41598-022-21081-y.
2
Determining the effects of land use on soil erodibility in the Mediterranean highland regions of Turkey: a case study of the Korsulu stream watershed.确定土地利用对土耳其地中海高地地区土壤可蚀性的影响:以科苏卢流域为例。
Environ Monit Assess. 2020 Feb 20;192(3):192. doi: 10.1007/s10661-020-8155-z.
3
Assessment of surface water quality using water quality index and multivariate statistical analyses in Saraydüzü Dam Lake, Turkey.
采用水质指数和多元统计分析方法评估土耳其萨雷兹湖地表水水质。
Environ Monit Assess. 2019 Jan 15;191(2):71. doi: 10.1007/s10661-019-7197-6.
4
Environmental impact of coal mining and coal seam gas production on surface water quality in the Sydney basin, Australia.澳大利亚悉尼盆地煤矿开采和煤层气生产对地表水水质的环境影响。
Environ Monit Assess. 2017 Aug;189(8):408. doi: 10.1007/s10661-017-6110-4. Epub 2017 Jul 21.
5
Investigation of some disinfection chemicals and water quality parameters in swimming pools in the city center and districts of Canakkale, Turkey.土耳其恰纳卡莱市中心及各城区游泳池中部分消毒化学品及水质参数的调查
Environ Monit Assess. 2017 Jul;189(7):338. doi: 10.1007/s10661-017-6031-2. Epub 2017 Jun 16.
6
Organic pollution of rivers: Combined threats of urbanization, livestock farming and global climate change.河流的有机污染:城市化、畜牧业和全球气候变化的综合威胁。
Sci Rep. 2017 Feb 23;7:43289. doi: 10.1038/srep43289.
7
Impact of land use on water quality in the upper Nisa catchment in the Czech Republic and in Germany.土地利用对捷克共和国和德国尼萨河上游流域水质的影响。
Sci Total Environ. 2017 May 15;586:1316-1325. doi: 10.1016/j.scitotenv.2016.10.221. Epub 2017 Feb 12.
8
New insight into the correlations between land use and water quality in a coastal watershed of China: Does point source pollution weaken it?中国沿海流域土地利用与水质关系的新认识:点源污染是否会削弱这种关系?
Sci Total Environ. 2016 Feb 1;543(Pt A):591-600. doi: 10.1016/j.scitotenv.2015.11.063. Epub 2015 Nov 23.
9
Effects of logging activities on ecological water quality indicators in the Berasau River, Johor, Malaysia.采伐活动对马来西亚柔佛州贝拉绍河生态水质指标的影响。
Environ Monit Assess. 2015 Aug;187(8):493. doi: 10.1007/s10661-015-4715-z. Epub 2015 Jul 8.
10
Assessment of ammonium, nitrate, phosphate, and heavy metal pollution in groundwater from Amik Plain, southern Turkey.评估土耳其南部阿米克平原地下水中的氨、硝酸盐、磷酸盐和重金属污染。
Environ Monit Assess. 2014 Sep;186(9):5921-34. doi: 10.1007/s10661-014-3829-z. Epub 2014 May 28.