Article(id=1223202682970685494, tenantId=1146029695717560320, journalId=1205116964453384197, issueId=1223202678788965355, articleNumber=null, orderNo=null, doi=10.20040/j.cnki.1000-7709.2023.20230224, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1676822400000, receivedDateStr=2023-02-20, revisedDate=1679587200000, revisedDateStr=2023-03-24, acceptedDate=null, acceptedDateStr=null, onlineDate=1769563845627, onlineDateStr=2026-01-28, pubDate=1703433600000, pubDateStr=2023-12-25, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1769563845627, onlineIssueDateStr=2026-01-28, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1769563845627, creator=13701087609, updateTime=1769563845627, updator=13701087609, issue=Issue{id=1223202678788965355, tenantId=1146029695717560320, journalId=1205116964453384197, year='2023', volume='41', issue='12', pageStart='1', pageEnd='228', issueExtLink='null', onlineDate='null', pubDate='null', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1769563844630, creator=13701087609, updateTime=1769563913308, updator=13701087609, preIssue=null, nextIssue=null, ext={EN=IssueExt(id=1223202966899901286, tenantId=1146029695717560320, journalId=1205116964453384197, issueId=1223202678788965355, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1223202966899901287, tenantId=1146029695717560320, journalId=1205116964453384197, issueId=1223202678788965355, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null}, startPage=14, endPage=18, ext={EN=ArticleExt(id=1223202683738243170, articleId=1223202682970685494, tenantId=1146029695717560320, journalId=1205116964453384197, language=EN, title=Analysis on the Evolution of Water Resources Situation in Qiandao Lake Basin from 1960 to 2020, columnId=1222925279849341011, journalTitle=Water Resources and Power, columnName=HYDROLOGY, WATER RESOURCES AND ENVIRONMENT, runingTitle=null, highlight=null, articleAbstract=

Aiming at the evolution of water resources in Qiandao Lake Basin under the condition of climate change, a WEP-L distributed hydrological model was established to simulate the water cycle process in the basin during 1960-2020. The Mann-Kendall non-parametric test method and Hurst index method were used to analyze the inter-annual variation and annual distribution characteristics of the total water resources in the basin. The temporal and spatial distribution and evolution trend of water resources in Qiandao Lake Basin were evaluated. The results indicate that The WEP-L model performs well in simulation the Qiandao Lake basin, and the Nash coefficient rate is above 0.83 in the calibration period and above 0.85 in the verification period; The water yield coefficient of the whole basin ranges from 0.436 to 0.630. The annual average total water resource is 122.5×108m3, equivalent to 1 176.4 mm of water depth. The annual distribution process shows a unimodal structure, and the water depth of each sub-basin ranges from 742 mm to 1 266 mm, and the spatial distribution is higher in the west and lower in the east; The annual water resources series in the basin show an insignificant upward trend, and the Hurst index is 0.86, indicating a continuous upward trend. From the perspective of monthly water resources, January and February increased significantly, the other months were not significant changes.

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针对气候变化条件下千岛湖流域水资源演变情势,建立WEP-L分布式水文模型模拟流域1960~2020年水循环过程,采用Mann-Kendall非参数检验法和Hurst指数法分析流域水资源总量年际变化、年内分配特征,评价了千岛湖流域水资源量时空分布与演变趋势。结果表明,WEP-L模型在千岛湖流域模拟结果较好,率定期的Nash系数在0.83以上,验证期的Nash系数在0.85以上;全流域产水系数在0.436~0.630之间,多年平均水资源总量122.5×108m3,折合产水深1 176.4 mm,年内分配过程呈单峰型结构,各子流域产水深范围在742~1 266 mm,空间分布呈西高东低;流域年水资源总量系列呈不显著上升趋势,Hurst指数0.86,存在上升的持续性;从月度水资源量来看,1、2月显著增加,其余月份变化均不显著。

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杜军凯(1987-),男,博士、高级工程师,研究方向为流域水循环及其伴生过程模拟,E-mail:
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董颢(1997-),女,硕士研究生,研究方向为流域水循环模拟,E-mail:

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董颢(1997-),女,硕士研究生,研究方向为流域水循环模拟,E-mail:

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1960~2020年千岛湖流域水资源情势演变分析
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董颢 1, 2 , 杜军凯 1, 2 , 王蓓卿 3 , 仇亚琴 1, 2 , 吕向林 1, 2 , 郝春沣 1, 2
水电能源科学 | 水文水资源与环境 2023,41(12): 14-18
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水电能源科学 | 水文水资源与环境 2023, 41(12): 14-18
1960~2020年千岛湖流域水资源情势演变分析
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董颢1, 2 , 杜军凯1, 2 , 王蓓卿3, 仇亚琴1, 2, 吕向林1, 2, 郝春沣1, 2
作者信息
  • 1.中国水利水电科学研究院,北京 100044
  • 2.流域水循环模拟与调控国家重点实验室,北京 100038
  • 3.浙江省水文管理中心,浙江 杭州 310009
  • 董颢(1997-),女,硕士研究生,研究方向为流域水循环模拟,E-mail:

通讯作者:

杜军凯(1987-),男,博士、高级工程师,研究方向为流域水循环及其伴生过程模拟,E-mail:
Analysis on the Evolution of Water Resources Situation in Qiandao Lake Basin from 1960 to 2020
Hao DONG1, 2 , Jun-kai DU1, 2 , Bei-qing WANG3, Ya-qin QIU1, 2, Xiang-lin LV1, 2, Chun-feng HAO1, 2
Affiliations
  • 1.China Institute of Water Resources and Hydropower Research, Beijing 100044, China
  • 2.State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, Beijing 100038, China
  • 3.Hydrology Management Center of Zhejiang Province, Hangzhou 310009, China
出版时间: 2023-12-25 doi: 10.20040/j.cnki.1000-7709.2023.20230224
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针对气候变化条件下千岛湖流域水资源演变情势,建立WEP-L分布式水文模型模拟流域1960~2020年水循环过程,采用Mann-Kendall非参数检验法和Hurst指数法分析流域水资源总量年际变化、年内分配特征,评价了千岛湖流域水资源量时空分布与演变趋势。结果表明,WEP-L模型在千岛湖流域模拟结果较好,率定期的Nash系数在0.83以上,验证期的Nash系数在0.85以上;全流域产水系数在0.436~0.630之间,多年平均水资源总量122.5×108m3,折合产水深1 176.4 mm,年内分配过程呈单峰型结构,各子流域产水深范围在742~1 266 mm,空间分布呈西高东低;流域年水资源总量系列呈不显著上升趋势,Hurst指数0.86,存在上升的持续性;从月度水资源量来看,1、2月显著增加,其余月份变化均不显著。

WEP-L模型  /  水资源演变  /  千岛湖流域  /  气候变化

Aiming at the evolution of water resources in Qiandao Lake Basin under the condition of climate change, a WEP-L distributed hydrological model was established to simulate the water cycle process in the basin during 1960-2020. The Mann-Kendall non-parametric test method and Hurst index method were used to analyze the inter-annual variation and annual distribution characteristics of the total water resources in the basin. The temporal and spatial distribution and evolution trend of water resources in Qiandao Lake Basin were evaluated. The results indicate that The WEP-L model performs well in simulation the Qiandao Lake basin, and the Nash coefficient rate is above 0.83 in the calibration period and above 0.85 in the verification period; The water yield coefficient of the whole basin ranges from 0.436 to 0.630. The annual average total water resource is 122.5×108m3, equivalent to 1 176.4 mm of water depth. The annual distribution process shows a unimodal structure, and the water depth of each sub-basin ranges from 742 mm to 1 266 mm, and the spatial distribution is higher in the west and lower in the east; The annual water resources series in the basin show an insignificant upward trend, and the Hurst index is 0.86, indicating a continuous upward trend. From the perspective of monthly water resources, January and February increased significantly, the other months were not significant changes.

WEP-L model  /  evolution of water resources  /  Qiandao Lake basin  /  climate change
董颢, 杜军凯, 王蓓卿, 仇亚琴, 吕向林, 郝春沣. 1960~2020年千岛湖流域水资源情势演变分析. 水电能源科学, 2023 , 41 (12) : 14 -18 . DOI: 10.20040/j.cnki.1000-7709.2023.20230224
Hao DONG, Jun-kai DU, Bei-qing WANG, Ya-qin QIU, Xiang-lin LV, Chun-feng HAO. Analysis on the Evolution of Water Resources Situation in Qiandao Lake Basin from 1960 to 2020[J]. Water Resources and Power, 2023 , 41 (12) : 14 -18 . DOI: 10.20040/j.cnki.1000-7709.2023.20230224
  • 国家自然科学基金项目(52279030)
  • 国家重点研发计划(2021YFC3201101; 2021YFC3201105)
2023年第41卷第12期
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doi: 10.20040/j.cnki.1000-7709.2023.20230224
  • 接收时间:2023-02-20
  • 首发时间:2026-01-28
  • 出版时间:2023-12-25
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  • 收稿日期:2023-02-20
  • 修回日期:2023-03-24
基金
国家自然科学基金项目(52279030)
国家重点研发计划(2021YFC3201101; 2021YFC3201105)
作者信息
    1.中国水利水电科学研究院,北京 100044
    2.流域水循环模拟与调控国家重点实验室,北京 100038
    3.浙江省水文管理中心,浙江 杭州 310009

通讯作者:

杜军凯(1987-),男,博士、高级工程师,研究方向为流域水循环及其伴生过程模拟,E-mail:
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https://castjournals.cast.org.cn/joweb/sdnykx/CN/10.20040/j.cnki.1000-7709.2023.20230224
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2种不同金属材料的力学参数

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鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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