气候变化和人类活动对渭河流域蓝水绿水影响研究

doi:10.13249/j.cnki.sgs.2016.04.011

地理科学 ›› 2016, Vol. 36 ›› Issue (4): 571-579.doi: 10.13249/j.cnki.sgs.2016.04.011

气候变化和人类活动对渭河流域蓝水绿水影响研究

赵安周^1,², 赵玉玲¹, 刘宪锋², 朱秀芳², 潘耀忠², 陈抒晨²

1.河北工程大学资源学院,河北邯郸 056038
2.北京师范大学资源学院/地表过程与资源生态国家重点实验室,北京 100875

收稿日期:2015-03-08 修回日期:2015-10-05 出版日期:2016-07-21 发布日期:2016-07-21
作者简介:
作者简介：赵安周(1985-)，男，河北邯郸人，博士，讲师，主要从事水资源对气候变化和土地利用的响应方面的研究。E-mail: zhaoanzhou@126.com
基金资助:
高分辨率对地观测系统重大专项和河北工程大学博士专项基金（20120157）资助。

Impact of Human Activities and Climate Variability on Green and Blue Water Resources in the Weihe River Basin of Northwest China

Anzhou Zhao^1,², Yuling Zhao¹(), Xianfeng Liu², Xiufang Zhu², Yaozhong Pan², Shuchen Chen²

1. College of Resources, Hebei University of Engineering, Handan 056038, Hebei, China
2. State Key Laboratory of Earth Surface Processes and Resource Ecology/ College of Resources Science & Technology, Beijing Normal University, Beijing 100875, China

Received:2015-03-08 Revised:2015-10-05 Online:2016-07-21 Published:2016-07-21
Supported by:
Major Project of High-resolution Earth Observation System and Specialized Research Fund for the Doctoral Program of Hebei University of Engineering（20120157）.

摘要/Abstract

摘要：

以渭河流域为研究对象,探讨了1980~2009年气候变化和人类活动对蓝绿水资源的影响。结果表明：① 研究时段内,在气候变化和人类活动的共同影响下,蓝水流、绿水流和绿水储量分别下降了23.56 mm/a、39.41 mm/a和17.98 mm/a,中北部的蓝水流和绿水储量呈现增加的趋势,流域上游地区的绿水流呈现下降趋势。② 归因分析表明,蓝水流、绿水流和绿水储量在气候变化驱动下分别下降了13.17 mm/a、44.99 mm/a和22.79 mm/a;土地利用/覆盖变化则导致蓝水流和绿水流分别减少0.42 mm/a和0.37 mm/a,绿水储量增加了0.79 mm/a;而农业灌溉使蓝水流减少了9.97 mm/a,绿水流和绿水储量分别增加了5.95 mm/a和4.02 mm/a。③ 气候变化导致研究区东南部绿水系数呈现增加趋势,而泾河流域绿水系数呈现减小趋势。同时,土地利用/覆盖变化使得东南部的一些子流域绿水系数呈减小的趋势,而在加入农业灌溉情景后,平原地区灌区绿水系数呈明显的上升趋势。

关键词: 气候变化, 土地利用/覆盖变化, 农业灌溉, 蓝水绿水, 渭河流域

Abstract:

It is widely recognized that human activities and climate variability are two important factors that affect water resources and freshwater ecosystems. Previous evaluation work on water resources has predominantly focused on the qualification of blue water flow. Meanwhile the green water flow, another important part of water resources for the healthy development of rivers and basins, is seldom discussed. In arid and semi-arid regions, the analysis of spatiotemporal distribution of blue and green water resources under human activities and climate variability is critical for water resources planning and management, and for harmonizing agricultural water use and eco-environmental water requirements. The Weihe River is the largest tributary of the Yellow River in China and an important water source for the Central Shaanxi Plain, which acts as the main driving force in the western economic development of China. However, this region also suffers great resource shortages. Ensuring sufficient freshwater resources supply is one of the most essential prerequisites for economic development and environmental protection in the Wei River Basin. Using the Soil and Water Assessment Tool (SWAT) model, this study investigated the spatiotemporal variations of blue and green water resources under different human activities (land use/cover change and irrigation) and climate variability scenarios during the 1980s-2000s for the Weihe River Basin. The results showed that: 1) Under the impact of land use/cover change, irrigation and climate variation, the blue water flow, green water flow and green water storage decreased by 23.56 mm/a, 39.41 mm/a and 17.98 mm/a, respectively, during 1980-2009. Blue water flow and green water storage presented an increasing trend in the north of study area, and the green water flow showed a decreasing trend in the upstream regions. 2) Attribution analysis showed that climate variability accounted for a decrease of 13.17 mm/a, 44.99 mm/a and 22.79 mm /a in blue water flow, green water flow, and green water storage, respectively. The blue water flow increased in the north of the Weihe River Basin, but decreased in the south of the Weihe River Basin. The green water flow decreased in the whole basin. Land use/cover change accounted for a decrease of 0.42 mm/a and 0.37 mm/a respectively in blue water and green water flow, but an increase of 0.79 mm/a in green water storage. In addition, irrigation accounted for a decrease of 9.97 mm/a in blue water flow and an increase of 5.95 mm/a and 4.02 mm/a in green water flow and green water storage, respectively. 3) Green water coefficient showed an increased trend in the southeast, but a deceased trend in the Jinghe River Basin due to the climate variability. Land use/land cover change drived the green water coefficient increased in some sub-basins of southwest. It should also be noted that the green water coefficient significantly increased in Central Shaanxi Plain when considered the irrigation factor.

Key words: climate change, land use/cover change, agricultural irrigation, blue-green water, the Weihe River Basin

中图分类号:

P339

赵安周, 赵玉玲, 刘宪锋, 朱秀芳, 潘耀忠, 陈抒晨. 气候变化和人类活动对渭河流域蓝水绿水影响研究[J]. 地理科学, 2016, 36(4): 571-579.

Anzhou Zhao, Yuling Zhao, Xianfeng Liu, Xiufang Zhu, Yaozhong Pan, Shuchen Chen. Impact of Human Activities and Climate Variability on Green and Blue Water Resources in the Weihe River Basin of Northwest China[J]. SCIENTIA GEOGRAPHICA SINICA, 2016, 36(4): 571-579.

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参考文献 37

[1]	Oki T, Kanae S.Global hydrological cycles and world water resources[J]. Science (New York, N.Y.), 2006, 313(5790): 1068-1072. doi: 10.1126/science.1128845 pmid: 16931749
[2]	Zahabiyoun B, Goodarzi M R, Bavani A R, et al.Assessment of climate change impact on the Gharesou River Basin using SWAT hydrological model[J]. Clean-Soil, Air, Water, 2013, 41(6): 601-609. doi: 10.1002/clen.201100652
[3]	梁国付, 丁圣彦. 气候和土地利用变化对径流变化影响研究——以伊洛河流域伊河上游地区为例[J]. 地理科学, 2012, 32(5): 635-640.
	[Liang Guofu, Ding Shengyan.The impacts of climate and land use changes on the runoff effects:case in the upper reaches of the YiheRiver,theYiluo River Basin. Scientia Geographica Sinica, 2012, 32(5): 635-640.]
[4]	Zhou Feng, Xu Youpeng, Chen Ying, et al.Hydrological response to urbanization at different spatio-temporal scales simulated by coupling of CLUE-S and the SWAT model in the Yangtze River Delta region[J]. Journal of Hydrology, 2013, 485: 113-125.
[5]	Chen Y N, Li Weihong, Xu Changchun, et al.Effects of climate change on water resources in Tarim River Basin, Northwest China[J]. Journal of Environmental Sciences-China, 2007, 19(4): 488-493. doi: 10.1016/S1001-0742(07)60082-5 pmid: 17915714
[6]	Siriwardena L, Finlayson B L, Mcmahon T A.The impact of land use change on catchment hydrology in large catchments:the comet river,centralQueensland,Australia[J]. Journal of Hydrology, 2006, 326(1/4): 199-214. doi: 10.1016/j.jhydrol.2005.10.030
[7]	Falkenmark M.Land -water linkages: A synopsis[C]//Land and Water Integration and River Basin Management: Proceedings of An FAO Informal Workshop. Food and Agriculture Organization of the United Nations,1995,(1):15-16.
[8]	徐宗学, 左德鹏. 拓宽思路,科学评价水资源量——以渭河流域蓝水绿水资源量评价为例[J]. 南水北调与水利科技, 2013, 11(1): 12-16.
	[Xu Zongxue, Zuo Depeng.Scientific assessment of water resources with broaden thoughts: a case study on the blue and green water resources in the Wei river basin. South-to-North Water Transfers and Water Science & Technology, 2013, 11(1): 12-16.]
[9]	Falkenmark M,Rockström J.The new blue and green water paradigm: Breaking new ground for water resources planning and management[J].Journal of Water Resources Planning and Management,2006,132(3):129-132.
[10]	程国栋, 赵文智. 绿水及其研究进展[J]. 地球科学进展, 2006, 21(3): 221-227.
	[Cheng Guodong, Zhao Wenzhi.Green water and its research progresses. Advances in Earth Science, 2006, 21(3): 221-227.]
[11]	Faramarzi M,Abbaspour K C, SchulinR, et al. Modelling blue and green water resources availability in Iran[J].Hydrological Processes,2009,23(3):486-501.
[12]	张淑兰, 张海军, 王彦辉, 等. 泾河流域上游景观尺度植被类型对水文过程的影响[J]. 地理科学, 2015, 35(2): 231-237.
	[Zhang Shulan, Zhang Haijun, Wang Yanhui, et al.Influence of vegetation type on hydrological process at landscape scale in the upper reaches of Jinghe Basin. Scientia Geographica Sinica, 2015, 35(2): 231-237.]
[13]	谢正辉, 刘谦, 袁飞, 等.基于全国50 km×50 km网格的大尺度陆面水文模型框架[J]. 水利学报, 2004, 35(5): 76-82. doi: 10.3321/j.issn:0559-9350.2004.05.013
	[Xie Zhenghui,Liu Qian,Yuan Fei, etal. Macro-scale land hydrological model based on 50km×50km grids system[J]. Journal of Hydraulic Engineering, 2004, 35(5): 76-82. ] doi: 10.3321/j.issn:0559-9350.2004.05.013
[14]	邓鹏, 李致家. 3种水文模型在淮河息县流域洪水模拟中的比较[J]. 河海大学学报:自然科学版, 2013, 41(5):377-382. doi: 10.3876/j.issn.1000-1980.2013.05.001
	[Deng Peng, Li Zhijia.Comparison of three hydrological models in flood simulation for Xixian Basin of Huaihe River. Journal of Hohai University:Natural Sciences, 2013, 41(5): 377-382.] doi: 10.3876/j.issn.1000-1980.2013.05.001
[15]	Sun Chen, Ren Li.Assessment of surface water resources and evapotranspiration in the Haihe River basin of China using SWAT model[J]. Hydrological Processes, 2013, 27(8): 1200-1222. doi: 10.1002/hyp.9213
[16]	Narsimlu B,Gosain A K,Chahar B R.Assessment of future climate change impacts on water resources of Upper Sind River Basin, India using SWAT model[J].Water Resources Management, 2013,27(10):3647-3662. doi: 10.1007/s11269-013-0371-7
[17]	臧传富. 黑河流域蓝绿水时空变化研究[D]. 北京: 北京林业大学, 2013.
	[Zang Chuanfu. Assessment of spatial and temporal variability of green and blue water flows in the Heihe River Basin Beijing: Beijing Forestry University, 2013.]
[18]	Zang C, Liu J, Jiang L et al. Impacts of human activities and climate variability on green and blue water flows in the Heihe River Basin in Northwest China[J]. Hydrology and Earth System Sciences Discussions,2013,10(7):9477-9504.
[19]	Wei Xiong, Declan C, Erda L et al. Future cereal production in China: The interaction of climate change, water availability and socio-economic scenarios[J]. Global Environmental Change, 2009, 19(1): 34-44.
[20]	Zuo Depeng, Xu Zongxue, Peng Dingzhi et al. Simulating spatiotemporal variability of blue and green water resources availability with uncertainty analysis[J]. Hydrological Processes, 2015, 29(8): 1942-1955.
[21]	左德鹏, 徐宗学, 李景玉, 等. 气候变化情景下渭河流域潜在蒸散量时空变化特征[J]. 水科学进展, 2011, 22(4): 455-461.
	[Zuo Depeng, Xu Zongxue, Li Jingyu et al. Spatiotemporal characteristics of potential evapotranspiration in the Weihe River Basin under future climate change. Advances in Water Science, 2011, 22(4): 455-461.]
[22]	黄河流域及西北片水旱灾害编委会.黄河流域水旱灾害[M]. 郑州:黄河水利出版社, 1996.
	[Editorial committee of the Yellow River Basin and flood and drought in northwest China. Disasters of flood and drought in the Yellow River Basin. Zhengzhou:The Yellow River water conservancy press,1996.]
[23]	尹剑, 王会肖,刘海军, 等. 不同水文频率下关中灌区农业节水潜力研究[J]. 中国生态农业学报, 2014, 22(2): 246-252.
	[Yin Jian, Wang Huixiao,Liu Haijun et al. Agricultural water-saving potential in Guanzhong Irrigation Area in different hydrologic years. Chinese Journal of Eco-agriculture, 2014, 22(2): 246-252.]
[24]	林文, 同延安, 杨宪龙, 等. 陕西冬小麦物候期对气候特征响应研究[J]. 干旱区资源与环境, 2013, 27(8): 59-64.
	[Lin Wen, Tong Yanan, Yang Xianlong et al. Response of winter wheat phonological phase to the climate feature in Shaanxi province. Journal of Arid Land Resources and Environment, 2013, 27(8): 59-64.]
[25]	王广兴, 陈玉民, 郭国双, 等.中国主要作物需水量与灌溉[M].北京:水利电力出版社,1995.
	[Wang Guangxing, ChenYumin, Guo Guoshuang et al. Main crop water requirement and irrigation of China. Beijing: Water Resources and Electric Power Press,1995.]
[26]	赵安周, 刘宪锋, 朱秀芳, 等. 基于SWAT模型的渭河流域干旱时空分布[J]. 地理科学进展, 2015, 34(9): 1156-1166. doi: 10.18306/dlkxjz.2015.09.008
	[Zhao Anzhou, Liu Xianfeng, Zhu Xiufang et al. Spatiotemporal patterns of droughts based on SWAT model for the Weihe River Basin. Progress in Geography, 2015, 34(9): 1156-1166.] doi: 10.18306/dlkxjz.2015.09.008
[27]	Neitsch S L, Arnold J G,Kiniry J R et al. Soil and water assessment tool: theoretical documentation,version 2005[Z].2005.
[28]	Abbaspour K C.User manual for SWAT-CUP, SWAT calibration and uncertainty analysis programs[Z].Duebendorf, Switzerland: Swiss Federal Institute of Aquatic Science and Technology,2007.
[29]	Yang Jing, Reichert P, Abbaspour K C et al. Comparing uncertainty analysis techniques for a SWAT application to the Chaohe Basin in China[J]. Journal of Hydrology, 2008, 358(1/2): 1-23.
[30]	Krause P, Boyle D P, Bäse F.Comparison of different efficiency criteria for hydrological model assessment[J].Advances in Geosciences,2005, 5:89-97. doi: 10.5194/adgeo-5-89-2005
[31]	Postel S L, Daily G C, Ehrlich P R.Human appropriation of renewable fresh water[J]. Science, 1996, 271(5250): 785-788. doi: 10.1126/science.271.5250.785
[32]	Geza M, Mccray J E.Effects of soil data resolution on SWAT model stream flow and water quality predictions[J]. Journal of Environmental Management, 2008, 88(3): 393-406. doi: 10.1016/j.jenvman.2007.03.016
[33]	吕乐婷. 东江流域气候变化及人类活动对水文水资源的影响[D].北京:北京师范大学,2014.
	[Lv Leting.Impacts of climate change and human activities on hydrology and water resources in the Dongjiang River Basin[D]. Beijing: Beijing Normal University, 2014.]
[34]	Ren Liliang, Wang Meirong, Li Chunhong et al. Impacts of human activity on river runoff in the northern area of China[J]. Journal of Hydrology, 2002, 261(1/4): 204-217.
[35]	Huang J.Land Degradation in China: erosion and salinity[R]. A Report Submitted to the World Bank: Center for Chinese Agricultural Policy,Beijing,2000.
[36]	Biggs T W, Scott C A,GaurA et al. Impacts of irrigation and anthropogenic aerosols on the water balance,heatfluxes,and surface temperature in a river basin[J].Water Resources Research,2008,44(12):W12415.
[37]	Douglas E M, Niyogi D, Frolking Set al.Changes in moisture and energy fluxes due to agricultural land use and irrigation in the Indian Monsoon Belt[J].Geophysical Research Letters,2006,33(14)doi: 10.1029/2006GL026550.

场景	土地利用/覆盖数据	气候数据	是否灌溉
情景Ⅰ	1980s	1980~1989年	否
情景Ⅱ	1980s	2000~2009年	否
情景Ⅲ	2008	2000~2009年	否
情景Ⅳ	2008	2000~2009年	是

场景	蓝水流量
场景	模拟值(mm/a)	变化值(mm/a)
情景Ⅰ	88.73	-13.17(情景Ⅱ-情景Ⅰ)
情景Ⅱ	75.56	-0.42(情景Ⅲ-情景Ⅱ)
情景Ⅲ	75.14	-9.97(情景Ⅳ-情景Ⅲ)
情景Ⅳ	65.17	-23.56(情景Ⅳ-情景Ⅰ)

场景	绿水流量
场景	模拟值(mm/a)	变化值 (mm/a)
情景Ⅰ	538.22	-44.99(情景Ⅱ-情景Ⅰ)
情景Ⅱ	493.23	-0.37(情景Ⅲ-情景Ⅱ)
情景Ⅲ	492.86	5.95(情景Ⅳ-情景Ⅲ)
情景Ⅳ	498.81	-39.41(情景Ⅳ-情景Ⅰ)

场景	绿水储量
场景	模拟值(mm/a)	变化值 (mm/a)
情景Ⅰ	82.21	-22.79(情景Ⅱ-情景Ⅰ)
情景Ⅱ	59.42	0.79(情景Ⅲ-情景Ⅱ)
情景Ⅲ	59.91	4.02 (情景Ⅳ-情景Ⅲ)
情景Ⅳ	64.23	-17.98(情景Ⅳ-情景Ⅰ)

气候变化和人类活动对渭河流域蓝水绿水影响研究

Impact of Human Activities and Climate Variability on Green and Blue Water Resources in the Weihe River Basin of Northwest China

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