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Mapping the optimal regions for wind farm construction in China

Resources, Conservation and Recycling 2025年 222卷

作者： Dazhi Yang Xuyang Zhang Wei Song Key Laboratory of Land Surface Pattern and Simulation Institute of Geographic Sciences and Natural Resources Research Chinese Academy of Sciences Beijing 100101 China University of Chinese Academy of Sciences Beijing 100049 China School of Earth and Environment Anhui University of Science and Technology Huainan 232001 Anhui China Hebei Collaborative Innovation Center for Urban-Rural Integration Development Shijiazhuang 050061 China

Against the backdrop of accelerating global energy transition, wind energy has emerged as a strategically critical clean energy source, yet its deployment confronts dual challenges of suboptimal site selection efficiency and multifaceted environmental constraints. This research addresses the inherent limitations of unidimensional siting methodologies through the development of an innovative multi-factor coupled assessment framework. By synthesizing multidimensional geospatial datasets spanning nature reserves, land use patterns, wind resource availability, transportation infrastructure, and grid connectivity, a comprehensive evaluation system was established. This system quantitatively integrates five critical dimensions: wind energy generation potential, demographic-economic electricity demand profiles, transportation network accessibility, power transmission capacity, and geomorphological characteristics. The proposed model achieves unprecedented macro-scale synergistic optimization of these interdependent factors, systematically elucidating the spatial configuration patterns of wind farm suitability across China. Furthermore, it provides a novel decision-support mechanism for scientifically-based site selection processes.

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Sensitivity of arid/humid patterns in China to future climate change under a high-emissions scenario

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Journal of Geographical Sciences 2019年第1期29卷 29-48页

作者： MA Danyang DENG Haoyu YIN Yunhe WU Shaohong ZHENG Du Key Laboratory of Land Surface Pattern and Simulation Institute of Geographic Sciences and Natural Resources Research CAS University of Chinese Academy of Sciences Henan Province Development and Reform Commission

Changes in regional moisture patterns under the impact of climate change are an important focus for science. Based on the five global climate models (GCMs) participating in the Coupled Model Intercomparison Project Phase 5 (CMIP5), this paper projects trends in the area of arid/humid climate regions of China over the next 100 years. It also identifies the regions of arid/humid patterns change and analyzes their temperature sensitivity of responses. Results show that future change will be characterized by a significant contraction in the humid region and an expansion of arid/humid transition zones. In particular, the sub-humid region will expand by 28.69% in the long term (2070-2099) relative to the baseline period (1981-2010). Under 2°C and 4°C warming, the area of the arid/humid transition zones is projected to increase from 10.17% to 13.72% of the total of China. The humid region south of the Huaihe River Basin, which is affected mainly by a future increase in evapotranspiration, will retreat southward and change to a sub-humid region. In general, the sensitivity of responses of arid/humid patterns to climate change in China will intensify with accelerating global warming.

关键词： arid/humid patterns climate change sensitivity aridity index China

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A Sharpe ratio-integrated indicator system for land use changes ecological risks: Within coupled disaster-economic assessment frameworks

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Ecological Indicators 2025年 176卷

作者： Xuyang Zhang Wei Song He Gao Key Laboratory of Land Surface Pattern and Simulation Institute of Geographic Sciences and Natural Resources Research Chinese Academy of Sciences Beijing 100101 China School of Earth and Environment Anhui University of Science and Technology Huainan 232001 Anhui China Hebei Collaborative Innovation Center for Urban-Rural Integration Development Shijiazhuang 050061 China School of Geosciences Yangtze University Wuhan 430100 China

Global climate change and human-induced land-use changes have threatened the stability of ecosystem service provision and intensified ecological risks. However, the ecological risk of land-use change (ERLUC) remains an emerging concept with unclear definitions and assessment methodologies. This study proposes a novel Sharpe ratiobased Ecological Risk Index (ERI) that integrates the probability of land use change occurrence with expected ecological benefits, applied to the North China Plain (NCP). key findings include: (1) Probability of land-use change can be defined as the likelihood of future transitions, while expected ecological benefits represent potential ecosystem service gains or losses from such changes. The Sharpe ratio effectively couples these parameters for risk assessment. (2) Under three scenarios – natural development, urban expansion, and ecological conservation – the mean ERI values were 0.4718, 0.4719, and 0.4703 respectively, indicating highest overall risk in urban expansion. (3) Spatial analysis revealed similar risk gradation patterns across the plain, dominated by medium–high risk areas (20.33%), followed by medium-risk (30.21%), with relatively smaller proportions of high-risk (13.77%) and medium–low risk (14.23%) zones. (4) Future projections show escalating risks in eastern regions, particularly along urban peripheries. This framework advances ecological risk science by integrating financial risk theory into land system analysis, providing policymakers with spatial targeting tools to balance developmental priorities and ecosystem security in rapidly urbanizing regions.

关键词： land-use change Ecological risks Ecosystem services Sharpe ratio CA-Markov model North China Plain

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Risk Identification of Seismic landslides by Joint Newmark and RockFall Analyst Models: A Case Study of Roads Affected by the Jiuzhaigou Earthquake

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International Journal of Disaster Risk Science 2018年第3期9卷 392-406页

作者： Xiliu Yue Shaohong Wu Yunhe Yin Jiangbo Gao Jingyun Zheng Institute of Geographic Sciences and Natural Resources Research Chinese Academy of Sciences Key Laboratory of Land Surface Pattern and Simulation University of Chinese Academy of Sciences

Geological disasters are a great threat to people's lives and property. At present, it is difficult to evaluate quantitatively the cascading effects of regional geological disasters, and the development of new methods for such evaluation is much needed. In this study, the authors have developed a joint procedure that couples the Newmark model and the RockFall Analyst model based on a GIS platform in order to identify the impact of seismic landslides on roads. The new method effectively combines two processes—seismic landslide occurrence probability analysis and mass movement trajectory simulation. The permanent displacement derived from the Newmark model is used to identify potential source areas of *** on the RockFall Analyst model, the possible impact of mass movement on the roads can be simulated. To verify the reliability of the method, the landslides induced by the 2017 Jiuzhaigou Earthquake were taken as a case *** results suggest that about 21.37% of the study area is at high risk of seismic landslides, and approximately 3.95 km of road sections are at extremely high risk of large landslides. The simulated area is consistent with the distribution of disasters revealed by post-earthquake remote sensing image interpretation and field investigation in existing studies. This indicates that the procedure, which joins the Newmark and RockFall models, has a high reliability for risk identification and can be applied to seismic landslide risk assessment and prediction in similar areas.

关键词： China Jiuzhaigou earthquake Newmark model Risk identification RockFall analyst model Seismic landslide

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Progress in Research on the Influences of Climatic Changes on the Industrial Economy in China

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Journal of Resources and Ecology 2020年第1期11卷 1-12页

作者： LIU Yuanzhe SONG Wei ZHAO Dongsheng GAO Jiangbo College of Geography and Environment Shandong Normal UniversityJinan 250358China Key Laboratory of Land Surface Pattern and Simulation Institute of Geographical Sciences and Natural Resources ResearchChinese Academy of SciencesBeijing 100101China

Global climate changes have led to ocean acidification,ice and snow melting,a continuous rise in temperature,and an increasing frequency of extreme weather events,with profound impacts on the social economic *** the aggravation from climate changes,even the industrial fields with a relatively strong resistance to climatic changes have also suffered serious *** present,the vulnerability of the industrial field is growing,and the absolute economic losses are *** quantitative evaluation of these industrial economic losses is therefore an important basis for formulating policies to tackle global climate change,and analyzing the current research progress can provide ideas and methods for the effective evaluation of the industrial ***,in this paper,we summarized both the positive and negative effects of climate changes on the industrial fields and found that the influences of climatic changes on different industrial sectors are slightly *** example,while the mining industry,so far,has positively responded to the changing climate,severe weather events such as storms,drought,and rain could severely impede the normal production and business operation activities of the mining industry in the *** manufacturing industry mostly involves indoor jobs,which are relatively resistant to extreme weather events,and some industries have complex response *** terms of the construction industry,its losses are mainly indirect through increased electricity *** production and supply industries for electricity,heat,and water would suffer transmission supply losses in extreme weather events;and as the largest carbon emission industries,the costs of emission reduction would affect the economic growth of this sector in the short ***,the industrial sectors pay relatively high costs for climate change mitigation and adaptation,and therefore,the quantitative evaluation of industrial economic losses through models i

关键词： climate change industrial economy extreme climate events carbon emission reduction

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Fairness analysis and compensation strategy in the Triangle of Central China driven by water-carbon-ecological footprints

Research Square

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Research Square 2021年

作者： Chen, Yizhong Lu, Hongwei Li, Jing Qiao, Youfeng Yan, Pengdong Ren, Lixia Xia, Jun School of Economics and Management Hebei University of Technology Tianjin300401 China Key Laboratory of Water Cycle and Related Land Surface Processes Institute of Geographic Science and Natural Resources Research Chinese Academy of Sciences Beijing100101 China Hebei Key Laboratory of Environmental Change and Ecological Construction College of Resource and Environment Science Hebei Normal University Shijiazhuang050024 China State Key Laboratory of Hydraulic Engineering Simulation and Safety Tianjin University Tianjin300072 China State Key Laboratory of Water Resources & Hydropower Engineering Sciences Wuhan University Wuhan430000 China Shanxi Institute of Energy Shanxi030600 China

This study proposes water–carbon–ecological footprints to form footprint family indicators for identifying the ecological compensation and regional development equilibrium in the Triangle of Central China (TOCC). The occupation of natural capital stock and flow consumption can be illustrated through a three-dimensional ecological footprint model, and Gini coefficient is integrated into the evaluation framework for fairness measurement from various aspects. Quantificational ecological compensation standards can be given with concerns of ecological resource conversion efficiency and willingness to pay indicators. Results reveal that there exit rising trends in ecological and carbon footprints in the TOCC from 2000 to 2015, while its water footprint presents a fluctuating trend. A majority of average Gini coefficients exceed the warning value (i.e., 0.4) under different footprints, implying a relatively poor overall fairness of regional development. In terms of water footprint, the relatively higher compensation expenses exist in Jingmen, Xiangtan, and Yichun, while Yichang, Zhuzhou, and Fuzhou have higher received compensation values as compared with other cities. When it comes to carbon footprint, Wuhan, Loudi, and Xinyu should pay higher compensation expenses due to their overuse of biological resources. The highest amounts of compensation expense appear in Nanchang and Wuhan from the perspective of ecological footprint. © 2021, CC BY.

关键词： Carbon footprint

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Current soil erosion assessment in the Loess Plateau of China: A mini-review

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JOURNAL OF CLEANER PRODUCTION 2020年 276卷 123091-123091页

作者： Wen, Xin Deng, Xiangzheng [a]Key Laboratory of Land Surface Pattern and Simulation Institute of Geographic Sciences and Natural Resources Research Chinese Academy of Sciences Beijing 100101 China [b]Center for Chinese Agricultural Policy Chinese Academy of Sciences Beijing 100101 China [c]University of Chinese Academy of Sciences Beijing 100049 China

As one of the most intensively eroded regions worldwide, soil erosion assessment is currently gaining further momentum in the Loess Plateau (LP), China. However, there exist very few review studies that assess soil erosion in relation to land use and land cover (LULC), climate, and ecosystem services (ESs) at multiple temporal and spatial scales in the LP. Thus, this review provides a comprehensive review of the interactions among soil erosion assessment, climate change, LULC change, and ESs at different scales. We focused on the academic literature published in the English language and analyzed the coverage of soil erosion across 109 publications. Our results highlighted three aspects: (1) studies dealing with the effects of LULC change on soil erosion are abundant. A recent surge in research interest is to explore a threshold of vegetation cover to support a sustainable eco-hydrological environment in the LP. However, the impacts of multiple stressors on soil erosion have received limited attention. (2) The short-term soil erosion assessment dominated the published studies. Cross-spatial-scale and long-term erosion assessments have received little attention. (3) 43% of reviewed papers used a field measurement method to assess soil erosion with the validation of measurement methods. 41% of reviewed papers used empirical models to assess soil erosion, but the modeling validation remains an unsolved problem. Then, three recommendations are listed as follows: (1) the combined impacts of LULC and climate change on soil erosion need to be further examined. (2) Long-term and cross-spatial-scale soil erosion assessments need to be established. (3) Soil erosion modeling accuracy on a large scale needs to be developed. (C) 2020 Elsevier Ltd. All rights reserved.

关键词： Soil erosion land use Climate Ecosystem service Loess Plateau of China Review

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Spatio-temporal patterns of drought evolution over the Beijing-Tianjin-Hebei region, China

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Journal of Geographical Sciences 2019年第6期29卷 863-876页

作者： ZHANG Jie SUN Fubao LIU Wenbin LIU Jiahong WANG Hong Key Laboratory of Water Cycle and Related Land Surface Processes Institute of Geographic Science and Natural Resources ResearchCAS Key Laboratory of Simulation and Regulation of Water Cycle in River Basin China Institute of Water Resources and Hydropower Research

Spatio-temporal patterns of drought from 1961 to 2013 over the Beijing-Tianjin-Hebei(BTH) region of China were analyzed using the Palmer Drought Severity index(PDSI) based on 21 meteorological stations. Overall, changes in the mean-state of drought detected in recent decades were due to decreases in precipitation and potential evapotranspiration. The Empirical Orthogonal Functions(EOF) method was used to decompose drought into spatio-temporal patterns, and the first two EOF modes were analyzed. According to the first leading EOF mode(48.5%), the temporal variability(Principal Components, PC1) was highly positively correlated with annual series of PDSI(r=+0.99). The variance decomposition method was further applied to explain the inter-decadal temporal and spatial variations of drought relative to the total variation. We find that 90% of total variance was explained by time variance, and both total and time variance dramatically decreased from 1982 to 2013. The total variance was consistent with extreme climate events at the inter-decadal scale(r=0.71, p<0.01). Comparing the influence of climate change on the annual drought in two different long-term periods characterized by dramatic global warming(P1: 1961–1989 and P2: 1990–2013), we find that temperature sensitivity in the P2 was three times more than that in the P1.

关键词： PDSI spatial and temporal patterns sensitivity analysis global warming

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Paddy rice multiple cropping index changes in Southern China: Impacts on national grain production capacity and policy implications

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Journal of Geographical Sciences 2019年第11期29卷 1773-1787页

作者： JIANG Min LI Xiubin XIN Liangjie TAN Minghong Key Laboratory of Land Surface Pattern and Simulation Institute of Geographic Sciences and Natural Resources ResearchCASBeijing 100101China University of Chinese Academy of Sciences Beijing 100049China

Changes in rice production in Southern China are crucial to national food *** study employed landsat images to map the distributions of paddy rice-cropping systems in Southern China in 1990 and *** impact of rice multiple cropping index changes on grain production capacity was then *** important results were obtained for the 1990 to 2015 study ***,the multiple cropping index for rice decreased from 148.3% to 129.3%,and 253.16×10^4 ha of land area was converted from double-cropping to single- cropping rice,termed “double to single”.The area with the most dramatic changes is in the Middle-Lower Yangtze *** rice-cropping system distribution in Southern China showed a change from north to south with double-cropping rice shrinking and single-cropping rice ***,the “double to single” conversion led to a reduction of 6.1% and 2.6% in rice and grain production,*** and Jiangxi Provinces,located in the main rice producing areas,and Zhejiang,which has shown better economic development,exhibited large reductions in rice production due to the “double to single” conversion,all exceeding 13%.Third,the grain production capacity of converted “double to single” paddy fields is equivalent to that of 223.3 × 10^4 ha of newly reclaimed cultivated land,which is 54% of the total newly cultivated land reclaimed through the 2001–2015 land consolidation *** is also 1.7 times the target goal for newly cultivated land in the national land consolidation plan for 2016–*** full use of the converted “double to single” paddy fields can save 167.44 billion yuan in newly reclaimed cultivated land ***,instead of pursuing low-quality new arable land,it is better to make full use of the existing high-quality arable *** on these results,the government should change the assessment method for cultivated land balance,and incorporate the sown area increased by improving the multiple cropping index into the

关键词： rice multiple cropping index food security double-cropping rice to single-cropping rice policy implications Southern China

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A model for integrated spatial land use characteristics linking to surface nutrient concentration

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International Journal of Digital Earth 2018年第10期11卷 1064-1084页

作者： Erqi Xu Hongqi Zhang Key Laboratory of Land Surface Pattern and Simulation Institute of Geographic Sciences and Natural Resources ResearchChinese Academy of SciencesBeijingPeople’s Republic of China

Quantifying land use heterogeneity helps better understand how it influences biophysical *** use area proportions have been used conventionally to predict water quality *** an insight into the combined effect of various spatial characteristics could lead to the statistical bias and confused understanding in previous *** this study,using spatial techniques and mathematical models,a diagnostic model was developed and applied for quantifying and incorporating three spatial components,namely,slope,distance to sampling spots,and *** upper catchment of Miyun Reservoir was studied as the test *** nitrogen,total phosphorus,and chemical oxygen demand of water samples from field measurements were used to characterize the surface water quality in 52 *** parameter calibrations and determinations,combined spatial characteristics were explored and *** land use proportions were calculated by spatial weights of discriminating the relative contribution of each location to water quality and used to build the integrated *** with traditional methods only using area proportions,our model increased the explanatory power of land use and quantified the effects of spatial information on water *** can guide the optimization of land use configuration to control water eutrophication.

关键词： Spatial distance spatial arrangement land use water eutrophication

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