Modelling tropical cyclone risks for present and future climate change scenarios using geospatial techniques     

Muhammad Al-Amin Hoque  Stuart Phinn  Chris Roelfsema  Iraphne Childs 《International Journal of Digital Earth》2018,11(3):246-263

Tropical cyclones and their devastating impacts are of great concern to coastal communities globally. An appropriate approach integrating climate change scenarios at local scales is essential for producing detailed risk models to support cyclone mitigation measures. This study developed a simple cyclone risk-modelling approach under present and future climate change scenarios using geospatial techniques at local scales, and tested using a case study in Sarankhola Upazila from coastal Bangladesh. Linear storm-surge models were developed up to 100-year return periods. A local sea level rise scenario of 0.34?m for the year 2050 was integrated with surge models to assess the climate change impact. The resultant storm-surge models were used in the risk-modelling procedures. The developed risk models successfully identified the spatial extent and levels of risk that match with actual extent and levels within an acceptable limit of deviation. The result showed that cyclone risk areas increased with the increase of return period. The study also revealed that climate change scenario intensified the cyclone risk area by 5–10% in every return period. The findings indicate this approach has the potential to model cyclone risk in other similar coastal environments for developing mitigation plans and strategies.  相似文献   

A model for integrated spatial land use characteristics linking to surface nutrient concentration   总被引：1，自引：0，他引：1  

Erqi Xu 《International Journal of Digital Earth》2018,11(10):1064-1084

Quantifying land use heterogeneity helps better understand how it influences biophysical systems. Land use area proportions have been used conventionally to predict water quality variables. Lacking an insight into the combined effect of various spatial characteristics could lead to the statistical bias and confused understanding in previous studies. In 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 arrangement. The upper catchment of Miyun Reservoir was studied as the test area. Total nitrogen, total phosphorus, and chemical oxygen demand of water samples from field measurements were used to characterize the surface water quality in 52 sub-watersheds. Using parameter calibrations and determinations, combined spatial characteristics were explored and detected. Adjusted 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 models. Compared 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 quality. This can guide the optimization of land use configuration to control water eutrophication.  相似文献   

Modelling coastal land use change by incorporating spatial autocorrelation into cellular automata models   总被引：1，自引：0，他引：1  

Yongjiu Feng  Qianqian Yang  Zhonghua Hong  Li Cui 《国际地球制图》2018,33(5):470-488

This paper presents a spatial autoregressive (SAR) method-based cellular automata (termed SAR-CA) model to simulate coastal land use change, by incorporating spatial autocorrelation into transition rules. The model captures the spatial relationships between explained and explanatory variables and then integrates them into CA transition rules. A conventional CA model (LogCA) based on logistic regression (LR) was studied as a comparison. These two CA models were applied to simulate urban land use change of coastal regions in Ningbo of China from 2000 to 2015. Compared to the LR method, the SAR model yielded smaller accumulated residuals that showed a random distribution in fitting the CA transition rules. The better-fitting SAR model performed well in simulating urban land use change and scored an overall accuracy of 85.3%, improving on the LogCA model by 3.6%. Landscape metrics showed that the pattern generated by the SAR-CA model has less difference with the observed pattern.  相似文献   

Soil salinity and vegetation cover change detection from multi-temporal remotely sensed imagery in Al Hassa Oasis in Saudi Arabia     

Amal Allbed  Lalit Kumar  Priyakant Sinha 《国际地球制图》2018,33(8):830-846

Detecting soil salinity changes and its impact on vegetation cover are necessary to understand the relationships between these changes in vegetation cover. This study aims to determine the changes in soil salinity and vegetation cover in Al Hassa Oasis over the past 28 years and investigates whether the salinity change causing the change in vegetation cover. Landsat time series data of years 1985, 2000 and 2013 were used to generate Normalized Difference Vegetation Index (NDVI) and Soil Salinity Index (SI) images, which were then used in image differencing to identify vegetation and salinity change/no-change for two periods. Soil salinity during 2000–2013 exhibits much higher increase compared to 1985–2000, while the vegetation cover declined to 6.31% for the same period. Additionally, highly significant (p < 0.0001) negative relationships found between the NDVI and SI differencing images, confirmed the potential long-term linkage between the changes in soil salinity and vegetation cover.  相似文献   

Subsidence in the Kathmandu Basin,before and after the 2015 Mw 7.8 Gorkha Earthquake,Nepal Revealed from Small Baseline Subset-DInSAR Analysis     

Suresh Krishnan P.V.  Jungkyo Jung 《地理信息系统科学与遥感》2018,55(4):604-621

Land subsidence in densely urbanized areas is a global problem that is primarily caused by excessive groundwater withdrawal. The Kathmandu Basin is one such area where subsidence due to groundwater depletion has been a major problem in recent years. Moreover, on 25 April 2015, this basin experienced large crustal movements caused by the Gorkha earthquake (Mw 7.8). Consequently, the effects of earthquake-induced deformation could affect the temporal and spatial nature of anthropogenic subsidence in the basin. However, this effect has not yet been fully studied. In this paper, we applied the SBAS-DInSAR technique to estimate the spatiotemporal displacement of land subsidence in the Kathmandu Basin before and after the Gorkha earthquake, using 16 ALOS-1 Phased Array L-band Synthetic Aperture Radar (PALSAR) images during the pre-seismic period and 26 Sentinel-1 A/B SAR images during the pre- and post-seismic periods. The results showed that the mean subsidence rate in the central part of the basin was about ?8.2 cm/year before the earthquake. The spatial extents of the subsiding areas were well-correlated with the spatial distributions of the compressible clay layers in the basin. We infer from time-series InSAR analysis that subsidence in the Kathmandu basin could be associated with fluvio-lacustrine (clay) deposits and local hydrogeological conditions. However, after the mainshock, the subsidence rate significantly increased to ?15 and ?12 cm/year during early post-seismic (108 days) and post-seismic (2015–2016) period, respectively. Based on a spatial analysis of the subsidence rate map, the entire basin uplifted during the co-seismic period has started to subside and become stable during the early-post-seismic period. This is because of the elastic rebound of co-seismic deformation. However, interestingly, the localized areas show increased subsidence rates during both the early-post- and post-seismic periods. Therefore, we believe that the large co-seismic deformation experienced in this basin might induce the local subsidence to increase in rate, caused by oscillations of the water table level in the clay layer.  相似文献   

Dynamic land use change simulation using cellular automata with spatially nonstationary transition rules   总被引：2，自引：0，他引：2  

Yongjiu Feng  Xiaohua Tong 《地理信息系统科学与遥感》2018,55(5):678-698

The dynamic relationships between land use change and its driving forces vary spatially and can be identified by geographically weighted regression (GWR). We present a novel cellular automata (GWR-CA) model that incorporates GWR-derived spatially varying relationships to simulate land use change. Our GWR-CA model is characterized by spatially nonstationary transition rules that fully address local interactions in land use change. More importantly, each driving factor in our GWR model contains effects that both promote and resist land use change. We applied GWR-CA to simulate rapid land use change in Suzhou City on the Yangtze River Delta from 2000 to 2015. The GWR coefficients were visualized to highlight their spatial patterns and local variation, which are closely associated with their effects on land use change. The transition rules indicate low land conversion potential in the city’s center and outer suburbs, but higher land conversion potential in the inner near suburbs along the belt expressway. Residual statistics show that GWR fits the input data better than logistic regression (LR). Compared with an LR-based CA model, GWR-CA improves overall accuracy by 4.1% and captures 5.5% more urban growth, suggesting that GWR-CA may be superior in modeling land use change. Our results demonstrate that the GWR-CA model is effective in capturing spatially varying land transition rules to produce more realistic results, and is suitable for simulating land use change and urban expansion in rapidly urbanizing regions.  相似文献   

Chronology of the Mediterranean sea-level highstand during the Last Interglacial: a critical review of the U/Th-dated deposits     

Francesca Pasquetti  Monica Bini  Biagio Giaccio  Andrea Ratti  Matteo Vacchi  Giovanni Zanchetta 《第四纪科学杂志》2021,36(7):1174-1189

Relative sea-level (RSL) evolution during Marine Isotopic Stage (MIS) 5 in the Mediterranean basin is still not fully understood despite a plethora of morphological, stratigraphic and geochronological studies carried out on highstand deposits of this area. In this review we assembled a database of 323 U/Th-dated samples (e.g. corals, molluscs, speleothems) which were used to chronologically constrain RSL evolution within MIS 5. The application of strict geochemical criteria to the U/Th samples indicates that only ~33% of data available for the Mediterranean Sea can be considered ‘reliable’. Most of these data (~65%) refer to the MIS 5e highstand, while only ~17% could be related to the MIS 5a. No attribution to MIS 5c can be unequivocally supported. Nevertheless, the resulting framework does not allow us to define a satisfactory RSL trend during the MIS 5e highstand and subsequent MIS 5 substages. Overall, the proposed selection of reliable/unreliable data would be useful for detecting areas where MIS 5 substage attributions are not supported by confident U/Th chronological data and thus the related reconstructions need to be revised. In this regard, the resulting framework calls for a reappraisal and re-examination of the Mediterranean records with advanced geochronological methodologies.  相似文献   

燕辽海盆中元古界下马岭组沉积期的物源性质与古地理环境     

高志勇  王华建  冯佳睿  罗忠  张宇航  李晓红 《地质学报》2021,95(12):3606-3628

通过对河北省张家口下花园区夏家沟古城梁、怀来县赵家山等剖面地质测量,分析了1400 Ma前沉积的下马岭组岩性变化、沉积序列与海平面升降演化、岩石矿物组分与重矿物组合,认为下马岭组沉积时期发育温暖湿润的气候条件及多期热带风暴作用,早期的大规模风暴与浊流等事件沉积,晚期的浅海陆棚风暴岩、深水陆棚泥页岩、细粒浊积岩及安静水体的泥灰岩透镜体(灰泥饼)等是其鲜明的沉积响应.该时期发育一次长期缓慢的海平面上升-下降过程,对应一个二级层序.内幕可细分为五次海平面升降变化,对应五个三级层序;下马岭组沉积早期的物质组分主要以砂质、泥质为主,晚期转化为以泥质、灰质、云质为主,砂质减少,两种类型的物质组合系统先后影响燕辽裂陷槽;下马岭组沉积时期,具有双物源性质,除了主要来自于东部的山海关古隆起外,晚期可能也有西部山西古陆提供物源,来自北部的沉积物源不发育,推测北部的内蒙-冀北隆起(内蒙地轴)不存在,燕辽盆地具有西陡东缓的箕状断陷盆地特征,盆地古地形、物源供给变化与多级次海平面振荡变化控制了下马岭组沉积物的时空演化特征.该研究为1400 Ma前华北克拉通北部燕辽盆地岩相古地理的恢复提供了重要参考.  相似文献   

山西长治盆地中更新世气候转型期环境变化特征     

李金秋  李向全  范保硕  王振兴  李月丛  刘林敬  侯新伟  张春潮 《地质学报》2021,95(11):3532-3543

中更新世气候转型(MPT)是第四纪环境变化的一个重要时期,该时期气候模式、气候周期等均发生了明显变化,然而不同区域对中更新世气候转型的响应特征存在明显差异.本研究选取了长治盆地XZK4钻孔中更新世转型前后(1.8～0.1 Ma)共207个样品,通过古地磁定年,运用粒度端元分析和孢粉分析,阐述了长治盆地中更新世转型期的环境变化与湖泊演化特征.结果显示,1.8 Ma以来,孢粉组合中乔木花粉含量多高于60％,但个别时段草本植物花粉占优,显示区域植被多数阶段为森林,但存在明显冷期,并且1.1 Ma和0.55 Ma是研究区环境转变的重要转折点.中更新世转型期前(～1.1 Ma):沉积物粒度总体较细,黏土含量多高于25％,EM1组分(湖相沉积)多高于60％,EM3(河流相组分)在个别时段出现,总体显示该阶段沉积物组成以湖相沉积为主,个别阶段受到河流影响大;中更新世转型时期(1.1～0.55 Ma):沉积物粒度较上一阶段更细,黏土含量(平均为30％)、EM1占比和孢粉浓度均达到研究段最高,沉积物颜色以棕灰色为主,EM3组分占比降至最低,其中1.1～0.95 Ma喜冷的云杉属花粉出现,显示该时期研究区气候总体偏冷湿,湖泊面积较1.1 Ma之前扩大;中更新世转型后(～0.55 Ma):沉积物粒度明显变粗,达到钻孔最高值,沉积物颜色变黄,EM2(风成组分)和EM3占主导,草本植物含量增加,尤其是喜干的蒿属花粉增加明显,表明气候较之前变干,沉积物类型以风力沉积为主,湖泊消亡.综合对比显示,构造运动是影响长治古湖消长的主要驱动力,气候变干加剧了湖泊消亡.  相似文献   

扬子西缘东川落雪地区元古宙地层中3890 Ma锆石的发现   总被引：1，自引：0，他引：1  

刘军平  熊波  李静  王小虎  胡绍斌  俞赛赢  张虎  杨爱平  吴清华 《地质学报》2021,95(5):1606-1613

利用LA-ICP-MS U-Pb同位素测定技术,在扬子西缘滇中东川地区古元古界阿不都组流纹质玻屑熔结凝灰岩中发现了1颗冥古宙锆石,锆石具有明显的核-幔-边结构,其核部的207 Pb/206 Pb年龄为3890±47 Ma,此年龄被解释为岩浆结晶,Th/U比值为0.34;变质边的207 Pb/206 Pb年龄为3561±45～3616±55 Ma,Th/U比值为0.07～0.19.锆石的原位Hf同位素测定给出了176 Hf/177 Hf=0.280317～0.280451,εHf(t)=-4.6～0.6(平均值为-2.5),TDM1=3861～3980 Ma,TDM2=4036～4106 Ma(平均值为4059 Ma).这颗锆石为扬子陆块目前发现的最老锆石,其Hf同位素及微量元素特征说明扬子陆块存在4.0 Ga的地壳增生作用及古老陆壳的再循环;结合前人同位素研究资料,说明扬子西缘东川落雪地区元古宙时同华北陆块可能具有亲缘性;本次的发现,为扬子陆块寻找冥古宙和始太古代物质实体提供重要依据,也为认识地球早期大陆演化过程提供了重要新信息.  相似文献