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A systematic review of spatial disaggregation methods for climate action planning

Energy and AI 2024年第3期17卷 458-469页

作者： Shruthi Patil Noah Pflugradt jann M.Weinand Detlef Stolten j.rge. kropp Institute of Energy and Climate Research Techno-economic Systems Analysis(IEK-3)Forschungszentrum JülichWilhelm-Johnen-StraßeJülich52425NRWGermany University of Potsdam Institute for Environmental Science and GeographyKarl-Liebknecht-Str.24-25Potsdam-Golm14476BrandenburgGermany Chair for Fuel Cells RWTH Aachen Universityc/o IEK-3Forschungszentrum JülichJülich52425NRWGermany Potsdam Institute for Climate Impact Research(PIK) Member of the Leibniz AssociationP.O.Box 601203PotsdamD-14412BrandenburgGermany

National-level climate action plans are often formulated broadly. Spatially disaggregating these plans to individual municipalities can offer substantial benefits, such as enabling regional climate action strategies and for assessing the feasibility of national objectives. Numerous spatial disaggregation approaches can be found in the literature. This study reviews and categorizes these. The review is followed by a discussion of the relevant methods for the disaggregation of climate action plans. It is seen that methods employing proxy data, machine learning models, and geostatistical ones are the most relevant methods for the spatial disaggregation of national energy and climate plans. The analysis offers guidance for selecting appropriate methods based on factors such as data availability at the municipal level and the presence of spatial autocorrelation in the *** the urgency of addressing climate change escalates, understanding the spatial aspects of national energy and climate strategies becomes increasingly important. This review will serve as a valuable guide for researchers and practitioners applying spatial disaggregation in this crucial field.

关键词： Spatial downscaling Proxy data Mass-preserving Climate action plans Spatial autocorrelation Machine learning Geostatistical models

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Overlooked uneven progress across sustainable development goals at the global scale: Challenges and opportunities

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The Innovation 2024年第2期5卷 42-50页

作者： Yali Liu jianqing Du Yanfen Wang Xiaoyong Cui jichang Dong Pan Gu Yanbin Hao Kai Xue Hongbo Duan Anquan Xia Yi Hu Zhi Dong Bingfang Wu jüurgen P.kropp Bojie Fu School of Grassland Science Beijing Forestry UniversityBeijing 100083China Beijing Yanshan Earth Critical Zone National Research Station University of Chinese Academy of SciencesBeijing 101408China College of Resources and Environment University of Chinese Academy of SciencesBeijing 100049China State Key Laboratory of Tibetan Plateau Earth System Environment and ResourcesChinese Academy of SciencesBeijing 100101China College of Life Sciences University of Chinese Academy of SciencesBeijing 100049China School of Economics and Management University of Chinese Academy of SciencesBeijing 100190China School of Humanities University of Chinese Academy of SciencesBeijing 100049China Key Laboratory of Adaptation and Evolution of Plateau Biota Northwest Institute of Plateau BiologyChinese Academy of SciencesXining 810001China School of Innovation and Entrepreneurship University of Chinese Academy of SciencesBeijing 100190China State Key Laboratory of Remote Sensing Science Aerospace Information Research InstituteChinese Academy of SciencesBeijing 100101China Potsdam Institute for Climate Impact Research 14412 PotsdamGermany Institute for Environmental Science and Geography University of Potsdam14412 PotsdamGermany State Key Laboratory of Urban and Regional Ecology Research Center for Eco-Environmental SciencesChinese Academy of SciencesBeijing 100085China

Differences in progress across sustainable development goals(SDGs)are widespread globally;meanwhile,the rising call for prioritizing specific SDGs may exacerbate such ***,how these progress differences would influence global sustainable development has been long ***,we present the first quantitative assessment of SDGs’progress differences globally by adopting the SDGs progress evenness *** results highlight that the uneven progress across SDGs has been a hindrance to sustainable development because(1)it is strongly associated with many public health risks(e.g.,air pollution),social inequalities(e.g.,gender inequality,modern slavery,wealth gap),and a reduction in life expectancy;(2)it is also associated with deforestation and habitat loss in terrestrial and marine ecosystems,increasing the challenges related to biodiversity conservation;(3)most countries with low average SDGs performance show lower progress evenness,which further hinders their fulfillment of SDGs;and(4)many countries with high average SDGs performance also showcase stagnation or even retrogression in progress evenness,which is partly ascribed to the antagonism between climate actions and other *** findings highlight that while setting SDGs priorities may be more realistic under the constraints of multiple global stressors,caution must be exercised to avoid new problems from intensifying uneven progress across ***,our study reveals that the urgent needs regarding SDGs of different regions seem complementary,emphasizing that regional collaborations(e.g.,demand-oriented carbon trading between SDGs poorly performed and well-performed countries)may promote sustainable development achievements at the global scale.

关键词： globally priori inequality

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Thermal desorption of mercury from lignite in a high-temperature furnace and in power plant mills

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International journal of Coal Science & Technology 2022年第5期9卷 150-159页

作者： Anne-Christin kropp Kathrin Gebauer Michael Beckmann Institute of Process Engineering and Environmental Technology Faculty of Mechanical Science and EngineeringTU Dresden01062 DresdenGermany

In this article,the binding forms of two lignite samples are determined by thermal desorption using a high-temperature *** mercury compound,such as HgCl2,has a specifc binding strength whose decomposition requires a certain thermal ***,the release of mercury from pure substances and lignite samples was analyzed in a high-temperature *** released mercury is determined with a Mercury Vapor *** obtained characteristic temperature range and peak of the mercury release were compared between lignite samples and mercury pure *** the lignite samples investigated,the binding form of mercury was then identifed as Humic *** organic compounds vaporize at lower *** half of the mercury bound in the lignite was already released at 350℃.Furthermore,the question arises whether mercury is already released during the grinding-drying process in the coal mill of a power *** two power plants,lignite samples were taken simultaneously at the feeder before entering the coal mill and at the dust line *** samples were analyzed for mercury *** results show that up to one third of the mercury was already released in the coal *** vaporized mercury enters the combustion chamber detached from the *** stated analysis methods and the results presented in this article contribute to the understanding of the mercury binding forms in *** also shows the potential of thermal coal pretreatment as a favorable alternative mercury separation technology to others such as activated carbon dosing.

关键词： Mercury binding forms Thermal desorption Mercury release Coal mill Coal pretreatment

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Data Mining and Machine Learning Methods Applied to A Numerical Clinching Model

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Computer Modeling in Engineering & Sciences 2018年第12期117卷 387-423页

作者： Marco Gotz Ferenc Leichsenring Thomas kropp Peter Müller Tobias Falk Wolfgang Graf Michael Kaliske Welf-Guntram Drossel Institute for Structural Analysis Technische UniversitatDresdenGermany Fraunhofer Institute for Machine Tools and Forming Technology DresdenGermany

Numerical mechanical models used for design of structures and processes are very complex and high-dimensionally *** understanding of the model characteristics is of interest for engineering tasks and subsequently for an efficient *** analysis methods are known and available to gain insight into existing *** this contribution,selected methods from various fields are applied to a real world mechanical engineering example of a currently developed clinching *** selection of introduced methods comprises techniques of machine learning and data mining,in which the utilization is aiming at a decreased numerical *** methods of choice are basically discussed and references are given as well as challenges in the context of meta-modelling and sensitivities are *** incremental knowledge gain is provided by a step-bystep application of the numerical methods,whereas resulting consequences for further applications are ***,a visualisation method aiming at an easy design guideline is *** visual decision maps incorporate the uncertainty coming from the reduction of dimensionality and can be applied in early stage of design.

关键词： Design data mining computational intelligence meta-modelling permissible design space sensitivity analysis self-organizing maps inverse problem early stage of design clinching

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A Nationwide Approach on Measuring Households’ Resilience by Constructing Climate Resilient Livelihoods Index (CRLI) in Rural Bangladesh

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American journal of Climate Change 2021年第4期10卷 619-638页

作者： Sifat E. Rabbi Reza E. Rabbi Sourav Karmakar j.rge. P. kropp Potsdam Institute for Climate Impact Research Potsdam Germany Research Associate Change Initiative Dhaka Bangladesh Patuakhali Science and Technology University Patuakhali Bangladesh University of Potsdam Potsdam Germany

This study developed households’ Climate Resilient Livelihoods Index (CRLI) in Bangladesh. CRLI indicators were selected based on the Adequacy of Human livelihood conditions for Well-being and Development (AHEAD) framework and FAO resilience tools. The study was designed on cross-sectional data through a country-wide primary survey of 26,925 rural households. At first, we performed logistic regression to gauge the significance and intensity of different livelihood indicators on any specific livelihood indicator. Secondly, we scored each household with the set criteria of different livelihoods accessibility, if any households fulfill the set criteria was “scored 1” and if not “scored 0”. After scoring the households, eight different scores for each household were summed up to construct a composite score of “CRLI”. If any household scored 0 - 2 was considered as low resilient, if any household scored 3 - 5 was considered as moderate resilient and if any household scored 6 - 8 was considered as highly resilient. Additionally, we used ArcMap to visualize the percentage of households in districts with different resilience categories. Findings revealed that nationally 1.7% of households were low resilient, 60% of households were moderate resilient and only 11.48% of households were high resilient. More specifically, only 1.7% of households failed to secure any of the climate-resilient livelihood indicators, and only 0.06% of households secured all of them. Findings also revealed that food secured households had better adaptive capacity due to ensuring access to basic services, more financial capabilities, lower dependency ratio, and physical connectivity. In contrast, households with social safety net coverage had food insecurity, less financial ability, higher dependency ratio, lower education, and income sources. Among 64 counties, Cox’s Bazar, Bandarban, Chuadanga, Barguna, Bhola, Patuakhali, Narail, Kurigram, Sunamganj, jamalpur, and Netrokona were the most vulnerable

关键词： Climate Resilient Indicators Livelihoods Index Resilience Score CRLI Adaptive Capacity Bangladesh

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己发表的地面运动参数的比较

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世界地震译丛 1990年第2期21卷 38-41页

作者： kropp.,A 戴英华

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^(18)F-FDG符合线路显像检测甲状腺癌转移灶的价值

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中华核医学杂志 2001年第1期21卷 23-25页

作者：黄钢 Tiepolt C kropp j Franke F 詹惠明仇建袁济民朱翠英上海第二医科大学附属仁济医院核医学科 200001 德国Dreseden大学医院核医学科

目的　比较18F 脱氧葡萄糖 (FDG)双探头符合线路SPECT(DHCI)与PET显像检测甲状腺癌转移病灶的价值。方法　 2 6例甲状腺癌患者在同 1天分别进行了18F FDGPET和18F FDGDHCI显像 ,患者均已行甲状腺切除术和131I治疗。肿瘤转移病灶大小由... 详细信息

目的　比较18F 脱氧葡萄糖 (FDG)双探头符合线路SPECT(DHCI)与PET显像检测甲状腺癌转移病灶的价值。方法　 2 6例甲状腺癌患者在同 1天分别进行了18F FDGPET和18F FDGDHCI显像 ,患者均已行甲状腺切除术和131I治疗。肿瘤转移病灶大小由计算机自动勾边在PET显像图中测定。结果　 2 6例甲状腺癌患者中 ,18F FDGPET共发现 12 6个肿瘤转移病灶 ,其中18F FDGDHCI检测到 92个 (73 % ) ,CT发现 76个 (6 0 % ) ,18F FDGDHCI的病灶检测率明显高于CT(P <0 0 5 )。根据病灶部位分析 ,18F FDGDHCI与PET对转移病灶检测的符合率在头颈部为 6 8% ,胸部为 83% ,而在骨转移病灶的符合率仅为 5 2 % (P <0 0 1)。根据病灶大小分析 ,当肿瘤转移病灶大于 1 5cm时 ,18F FDGDHCI与PET结果的一致率达 98% ;而在 1～ 1 5cm的病灶检测中 ,18F FDGDHCI仅能发现 5 6 % ;当病灶小于 1cm时 ,18F FDGDHCI则难以发现 ,而PET发现的病灶最小直径为 0 7cm。结论　当肿瘤转移病灶的直径大于 1 5cm时 ,18F FDGDHCI与PET具有相似的诊断准确性。

关键词：甲状腺肿瘤 18F-脱氧葡萄糖 PET 甲状腺癌诊断

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