基于PSR模型的新疆水资源经济生态韧性时空差异及影响因素分析

doi:10.12118/j.issn.1000-6060.2023.155

Abstract

Abstract:

This study employs the entropy weight method to determine index weights, utilizing the comprehensive evaluation method and kernel density to assess the spatial and temporal distribution characteristics of pressure-state-response resilience in 14 prefectures within the Xinjiang arid zone of China. In addition, geographic detectors are used to analyze the main influencing factors and factor interactions affecting the economic and ecological resilience of water. The findings reveal the following trends: (1) Stress resilience evaluation indices for Xinjiang prefectures generally decline from 2010 to 2020. Specifically, Kizilsu Kirgiz Autonomous Prefecture experiences a shift from high resilience to moderate resilience. Conversely, state resilience, response resilience, and comprehensive resilience exhibit an increasing trend, reflecting an overall improvement in resilience levels. (2) The spatial distribution of pressure-state-response resilience kernel density across all Xinjiang prefectures from 2010 to 2020 displays a staggered pattern, with higher values concentrated in the southwest compared to the northeast. Analyzing the three dimensions reveals a concentrated distribution of high-pressure resilience kernel density moving from the southwest to the central region. Meanwhile, high state resilience and response resilience kernel densities progress from the northeast to the southwest, displaying a more dispersed distribution. Toward the end of the study period, comprehensive resilience, state resilience, and response resilience kernel densities exhibit a decreasing trend, while spatial differences in pressure resilience kernel densities become more pronounced. (3) The influence of industrial structure, GDP per capita, and ecological self-purification capacity on water resources’ economic and ecological resilience has intensified, while the impact of man-made disasters and other factors has weakened. Interactions among industrial structure, ecological self-cleaning capacity, and retail sales of social consumer goods are more influential than individual factors in shaping system resilience. Notably, the number of nonlinear enhancement relationships in factor pairs surpasses the number of two-factor enhancements.

Key words: PSR model, kernel density, geographic exploration method, Xinjiang

SUN Yu, LIU Weizhong, SHENG Yang. Spatiotemporal differences and influencing factors of economic and ecological resilience of water resources in Xinjiang based on the PSR model[J].Arid Land Geography, 2023, 46(12): 2017-2028.

Figures/Tables 9

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Tab. 1

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References 31

[1]	赵志龙, 杨亚锋, 徐冬梅, 等. 基于二级模糊综合评判法的水资源系统韧性评价调控模型及应用[J]. 水电能源科学, 2022, 40(10): 39-43.
	[Zhao Zhilong, Yang Yafeng, Xu Dongmei, et al. Resilience evaluation and regulation model of water resources system based on two-level fuzzy comprehensive evaluation and its application[J]. Water Resources and Power, 2022, 40(10): 39-43.]
[2]	刘金宁, 王伟, 邵志国. 水旱灾害下青岛市供水系统韧性能力评估及提升[J]. 防灾科技学院学报, 2020, 22(4): 9-19.
	[Liu Jinning, Wang Wei, Shao Zhiguo. Resilience capacity assessment and promotion strategy of water supply system in Qingdao under flood and drought disasters[J]. Journal of Institute of Disaster Prevention, 2020, 22(4): 9-19.]
[3]	袁丰, 熊雪蕾, 徐紫腾, 等. 长江经济带经济韧性空间分异与驱动因素[J]. 地理科学进展, 2023, 42(2): 249-259. doi: 10.18306/dlkxjz.2023.02.004
	[Yuan Feng, Xiong Xuelei, Xu Ziteng, et al. Spatial differentiation and driving factors of economic resilience in the Yangtze River Economic Belt, China[J]. Progress in Geography, 2023, 42(2): 249-259.] doi: 10.18306/dlkxjz.2023.02.004
[4]	马文林, 郭丽平, 王海婷, 等. 社区生态系统气候韧性概念及评估研究[J]. 生态经济, 2023, 39(3): 177-183.
	[Ma Wenlin, Guo Liping, Wang Haiting, et al. Concept and assessment of climate resilience in community ecosystem[J]. Ecological Economy, 2023, 39(3): 177-183.]
[5]	唐莹, 陈梦涵. 农业基础设施对农业经济韧性的作用机制与效应研究[J]. 农林经济管理学报, 2023, 22(3): 292-300.
	[Tang Ying, Chen Menghan. Research on the mechanism and effect of agricultural infrastructure on agricultural economic resilience[J]. Journal of Agro-Forestry Economics and Management, 2023, 22(3): 292-300.]
[6]	陶洁怡, 董平, 陆玉麒. 长三角地区生态韧性时空变化及影响因素分析[J]. 长江流域资源与环境, 2022, 31(9): 1975-1987.
	[Tao Jieyi, Dong Ping, Lu Yuqi. Spatial-temporal analysis and influencing factors of ecological resilience in the Yangtze River Delta[J]. Resources and Environment in the Yangtze Basin, 2022, 31(9): 1975-1987.]
[7]	孙才志, 孟程程. 中国区域水资源系统韧性与效率的发展协调关系评价[J]. 地理科学, 2020, 40(12): 2094-2104. doi: 10.13249/j.cnki.sgs.2020.12.016
	[Sun Caizhi, Meng Chengcheng. Evaluation of the development coordination relationship between resilience and efficiency of regional water resources system in China[J]. Scientia Geographica Sinica, 2020, 40(12): 2094-2104.] doi: 10.13249/j.cnki.sgs.2020.12.016
[8]	方叶林, 王秋月, 黄震方, 等. 中国旅游经济韧性的时空演化及影响机理研究[J]. 地理科学进展, 2023, 42(3): 417-427. doi: 10.18306/dlkxjz.2023.03.001
	[Fang Yelin, Wang Qiuyue, Huang Zhenfang, et al. Spatial and temporal evolution of tourism economic resilience and mechanism of impact in China[J]. Progress in Geography, 2023, 42(3): 417-427.] doi: 10.18306/dlkxjz.2023.03.001
[9]	蒋文鑫, 吴军, 徐建刚. 城市生态韧性与经济发展水平耦合协调关系研究——以江苏省为例[J]. 资源开发与市场, 2023, 39(3): 299-308, 318.
	[Jiang Wenxin, Wu Jun, Xu Jiangang. Study on the coupling coordination between urban ecological resilience and economic development level: Taking Jiangsu Province as an example[J]. Resource Development & Market, 2023, 39(3): 299-308, 318.]
[10]	刘淑淑, 姜霞, 张龙, 等. 长江经济带城市经济韧性测度及时空演化研究[J]. 特区经济, 2021, 389(6): 31-35.
	[Liu Shushu, Jiang Xia, Zhang Long, et al. Study on the measurement of urban economic resilience and its spatial-temporal evolution in the Yangtze River Economic Belt[J]. Special Zone Economy, 2021, 389(6): 31-35.]
[11]	王世亮, 那仁满都拉, 郭恩亮, 等. 基于熵权-TOPSIS模型的内蒙古城市韧性评价研究[J]. 赤峰学院学报(自然科学版), 2022, 38(1): 17-21.
	[Wang Shiliang, Narimandula, Guo Enliang, et al. Evaluation of urban resilience in Inner Mongolia based on entropy weight TOPSIS model[J]. Journal of Chifeng University (Natural Science Edition), 2022, 38(1): 17-21.]
[12]	储金龙, 马昊楠, 李久林. 城市韧性的空间差异与影响因素研究——以安徽省为例[J]. 安徽农业大学学报(社会科学版), 2023, 32(1): 68-76, 125.
	[Chu Jinlong, Ma Haonan, Li Jiulin. Spatial differences and influencing factors of urban resilience: A case study of Anhui Province[J]. Journal of Anhui Agricultural University (Social Sciences Edition), 2023, 32(1): 68-76, 125.]
[13]	焦柳丹, 王驴文, 张羽, 等. 基于多木桶模型的长三角城市群韧性水平评估研究[J/OL]. 世界地理研究. [2023-05-18]. http://kns.cnki.net/kcms/detail/31.1626.p.20230310.1626.002.html.
	Jiao Liudan, Wang Lüwen, Zhang Yu, et al. Resilience assessment of the Yangtze River Delta urban agglomeration based on multi-barrel model[J/OL]. World Regional Studies. [2023-05-18]. http://kns.cnki.net/kcms/detail/31.1626.p.20230310.1626.002.html.]
[14]	吕添贵, 胡晗, 付舒斐, 等. 长三角地区城市生态韧性时空分异特征及影响因素[J]. 地域研究与开发, 2023, 42(1): 54-60.
	[Lü Tiangui, Hu Han, Fu Shufei, et al. Spatio-temporal differentiation and influencing factors of urban ecological resilience in the Yangtze River Delta[J]. Areal Research and Development, 2023, 42(1): 54-60.]
[15]	张明斗, 冯晓青. 中国城市韧性度综合评价[J]. 城市问题, 2018, 279(10): 27-36.
	[Zhang Mingdou, Feng Xiaoqing. Comprehensive evaluation of urban resilience in China[J]. Urban Issues, 2018, 279(10): 27-36.]
[16]	殷克东, 赵昕, 薛俊波. 基于PSR模型的可持续发展研究[J]. 软科学, 2002(5): 62-66.
	[Yin Kedong, Zhao Xin, Xue Junbo. A sustainable development research based on PSR model[J]. Soft Science, 2002(5): 62-66.]
[17]	范婧怡. 基于“压力-状态-响应”模型的城市生态环境韧性评价研究——以天津市武清区为例[D]. 天津: 天津大学, 2020.
	[Fan Jingyi. Study on resilience evaluation of urban ecological environment based on stress-state-response model: Take the Wuqing District of Tianjin as an example[D]. Tianjin: Tianjin University, 2020.]
[18]	杨艳凤, 敬莉. 新疆生态环境与农业经济协调可持续发展的时空演化特征[J]. 河北农业大学学报(社会科学版), 2021, 23(6): 11-24.
	[Yang Yanfeng, Jing Li. The temporal and spatial evolution characteristics of coordinated and sustainable development of ecological environment and agricultural economy in the Xinjiang Uygur Autonomous Region[J]. Journal of Hebei Agricultural University (Social Sciences Edition), 2021, 23(6): 11-24.]
[19]	解星. 资源枯竭型城市社会生态系统韧性评价及提升策略[D]. 武汉: 华中科技大学, 2019.
	[Xie Xing. The evaluation and promotion strategy of resilience of social ecosystem of resource-exhausted cities[D]. Wuhan: Huazhong University of Science & Technology, 2019.]
[20]	夏春红. 新型城镇化语境下城市生态韧性时空演变特征研究——以云南省为例[D]. 昆明: 云南大学, 2020.
	Xia Chunhong. Research of spatial-temporal characteristics of urban ecological resilience from perspective of new urbanization: Taking Yunnan Province as the example[D]. Kunming: Yunnan University, 2020.]
[21]	杨亚锋, 王红瑞, 巩书鑫, 等. 可变勾股模糊VIKOR水资源系统韧性评价调控模型及应用[J]. 水利学报, 2021, 52(6): 633-646.
	[Yang Yafeng, Wang Hongrui, Gong Shuxin, et al. Variable Pythagorean fuzzy VIKOR evaluation regulation model of water resources system resilience and its application[J]. Journal of Hydraulic Engineering, 2021, 52(6): 633-646.]
[22]	孟程程. 中国省级水资源系统韧性与效率的发展协调关系评价[D]. 大连: 辽宁师范大学, 2021.
	[Meng Chengcheng. Evaluation of the development coordination relationship between resilience and efficiency of water resources systems at provincial level in China[D]. Dalin:Liaoning Normal University, 2021.]
[23]	陈丹羽. 基于压力-状态-响应模型的城市韧性评估——以湖北省黄石市为例[D]. 武汉: 华中科技大学, 2019.
	[Chen Danyu. Urban resilience assessment based on pressure-state response model: A case study of Huangshi City[D]. Wuhan: Huazhong University of Science & Technology, 2019.]
[24]	杨航, 侯景伟, 马彩虹, 等. 黄河上游生态脆弱区复合生态系统韧性时空分异——以宁夏为例[J]. 干旱区研究, 2023, 40(2): 303-312.
	[Yang Hang, Hou Jingwei, Ma Caihong, et al. Spatio-temporal differentiation of the composite ecosystem resilience in the ecologically fragile area in the upper reaches of the Yellow River: A case study in Ningxia[J]. Arid Zone Research, 2023, 40(2): 303-312.]
[25]	徐伟, 王静爱, 史培军, 等. 中国城市地震灾害危险度评价[J]. 自然灾害学报, 2004(1): 9-15.
	[Xu Wei, Wang Jing’ai, Shi Peijun, et al. Hazard degree assessment of urban earthquake disaster in China[J]. Journal of Natural Disasters, 2004(1): 9-15.]
[26]	丁磊, 吕剑平. 基于熵权法测度甘肃省农业经济和农业生态的耦合性[J]. 中国农机化学报, 2021, 42(3): 151-158. doi: 10.13733/j.jcam.issn.2095-5553.2021.03.021
	[Ding Lei, Lü Jianping. Measuring the coupling of agricultural economy and agricultural ecology in Gansu Province based on entropy weight method[J]. Journal of Chinese Agricultural Mechanization, 2021, 42(3): 151-158.] doi: 10.13733/j.jcam.issn.2095-5553.2021.03.021
[27]	暴向平, 张学波. 内蒙古经济韧性时空演化与影响因素分析[J]. 资源开发与市场, 2021, 37(9): 1059-1065.
	[Bao Xiangping, Zhang Xuebo. Analysis on the spatial-temporal evolution and influencing factors of economic resilience in Inner Mongolia[J]. Resource Development & Market, 2021, 37(9): 1059-1065.]
[28]	周海涛, 马钰松, 樊亚宇, 等. 内蒙古红色旅游资源空间分布及可达性分析[J]. 干旱区地理, 2023, 46(5): 814-822.
	[Zhou Haitao, Ma Yusong, Fan Yayu, et al. Spatial distribution and accessibility analysis of red tourism resources in Inner Mongolia[J]. Arid Land Geography, 2023, 46(5): 814-822.]
[29]	王劲峰, 徐成东. 地理探测器: 原理与展望[J]. 地理学报, 2017, 72(1): 116-134. doi: 10.11821/dlxb201701010
	[Wang Jinfeng, Xu Chengdong. Geodetector: Principle and prospective[J]. Acta Geographica Sinica, 2017, 72(1): 116-134.] doi: 10.11821/dlxb201701010
[30]	李久林, 滕璐, 马昊楠, 等. 安徽省农业经济韧性的空间异质性及其影响因素[J]. 华东经济管理, 2022, 36(11): 75-84.
	[Li Jiulin, Teng Lu, Ma Haonan, et al. Spatial heterogeneity and influencing factors of agricultural economic resilience in Anhui Province[J]. East China Economic Management, 2022, 36(11): 75-84.]
[31]	胡本田, 李小燕. 加大科技创新投入会减少环境污染吗?[J]. 大连大学学报, 2021, 42(3): 89-100.
	[Hu Bentian, Li Xiaoyan. Will increasing investment in technological innovation reduce environmental pollution?[J]. Journal of Dalian University, 2021, 42(3): 89-100.]

目标层	准则层	要素层	指标层	权重
水资源经济生态系统韧性	压力韧性	自然灾害	降水量/mm	0.086
		自然灾害	城市近源地震等效等级	0.237
		人为灾害	工业废水排放量/10⁸ t	0.072
			生活污水排放量/10⁸ t	0.166
			工业SO₂排放量/mg·m^-3	0.131
			工业NO₂排放量/mg·m^-3	0.051
			工业固体废弃物生产量/10⁴ t	0.122
			化肥施用强度/kg·hm^-2	0.136
	状态韧性	水资源状态	地表水/10⁸ m³	0.031
			地下水/10⁸ m³	0.026
			水资源总量/10⁸ m³	0.031
			产水模数/10⁴ m³·km^-2	0.029
			人均水资源量/m³·人^-1	0.035
			农业用水占比/%	0.018
			工业用水占比/%	0.031
			人均用水量/m³·人^-1	0.076
			供水量/10⁸ m³	0.040
		经济状态	第一产业占比/%	0.031
			第二产业占比/%	0.034
			第三产业占比/%	0.041
			人均GDP/10⁴元·人^-1	0.024
			社会消费品零售额/10⁴元	0.034
			进出口贸易总额/10⁴ USD	0.086
			固定资产投资额/10⁴元	0.051
		生态状态	湿地面积占比/%	0.126
			人均公园绿地面积/m²·人^-1	0.069
			建成区绿化覆盖率/%	0.019
			森林覆盖率/%	0.021
			水土流失治理面积/km²	0.076
			旱地面积占比/%	0.070
	响应韧性	恢复能力	万元GDP废水排放量/m³·(10⁴元)^-1	0.045
			环境治理投资/10⁴元	0.062
			生态用水占比/%	0.103
			城市生活垃圾处理率/%	0.053
			城市污水处理率/%	0.076
			GDP增长率/%	0.108
			财政收入/10⁴元	0.041
		适应能力	R&D经费支出占比/10⁴元	0.077
		适应能力	万人发明专利占有量/件	0.434

判断依据	交互作用
q(X1∩X2)<min[q(X1), q(X2)]	非线性减弱
min[q(X1), q(X2)]<q(X1∩X2)<max[q(X1), q(X2)]	单因子非线性减弱
q(X1∩X2)>max[q(X1), q(X2)]	双因子增强
q(X1∩X2)=q(X1)+q(X2)	独立
q(X1∩X2)>q(X1)+q(X2)	非线性增强

研究区域	压力韧性			状态韧性			响应韧性			压力-状态-响应综合韧性
研究区域	2010年	2015年	2020年	2010年	2015年	2020年	2010年	2015年	2020年	2010年	2015年	2020年
乌鲁木齐市	0.123	0.338	0.242	0.224	0.512	0.579	0.270	0.658	0.946	0.205	0.502	0.589
克拉玛依市	0.212	0.248	0.842	0.381	0.363	0.274	0.432	0.476	0.406	0.342	0.362	0.507
吐鲁番市	0.369	0.753	0.185	0.309	0.429	0.378	0.132	0.385	0.754	0.270	0.523	0.439
哈密市	0.358	0.346	0.225	0.372	0.356	0.301	0.255	0.313	0.835	0.328	0.338	0.454
昌吉回族自治州	0.276	0.313	0.306	0.445	0.456	0.463	0.242	0.397	0.663	0.321	0.388	0.477
博尔塔拉蒙古自治州	0.393	0.248	0.188	0.305	0.288	0.506	0.290	0.512	0.659	0.329	0.349	0.451
巴音郭楞蒙古自治州	0.480	0.274	0.174	0.327	0.336	0.437	0.345	0.244	0.482	0.384	0.285	0.364
阿克苏地区	0.496	0.337	0.636	0.314	0.278	0.673	0.492	0.169	0.701	0.434	0.261	0.670
克孜勒苏柯尔克孜自治州	0.851	0.491	0.486	0.365	0.269	0.648	0.256	0.355	0.790	0.490	0.372	0.641
喀什地区	0.643	0.302	0.505	0.277	0.244	0.676	0.123	0.625	0.786	0.347	0.391	0.656
和田地区	0.472	0.658	0.795	0.352	0.335	0.655	0.189	0.407	0.918	0.337	0.467	0.789
伊犁哈萨克自治州直属县市	0.428	0.314	0.746	0.322	0.351	0.576	0.099	0.423	0.751	0.283	0.362	0.691
塔城地区	0.376	0.772	0.228	0.517	0.422	0.493	0.288	0.350	0.713	0.394	0.514	0.478
阿勒泰地区	0.459	0.116	0.200	0.374	0.550	0.575	0.326	0.316	0.536	0.386	0.327	0.437

Spatiotemporal differences and influencing factors of economic and ecological resilience of water resources in Xinjiang based on the PSR model

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