Study on Multi-Parameter Seismic Observation Technique Based on Optic Fiber Sensing

”Deep well, wide band, multi-component comprehensive observation” is the development direction of seismic observation. In order to promote the application and development of underground integrated observation system, key technologies, such as high temperature resistance sensor, interference isolation of sensor unit and miniaturization of instrument, need to be developed. Optic fiber sensors have the advantages of small size, passive nature, resistance to electromagnetic interference, being easy to long distance transmission and multi-parametric network observation, which are expected to provide new technology for the comprehensive observation of multi-parameter earthquakes in deep wells. This paper proposed a comprehensive observation technique of seismic wave, crustal deformation and temperature. An integrated borehole seismic sensor based on fiber Bragg grating resonators was designed for measuring three-component earthquake, three-component crustal deformation and temperature signal. A new technique for simultaneous measurement of multi-parameters of temperature and strain of fiber based on effective cavity length was presented. The technique of high precision optical fiber signal demodulation based on single side band sweep laser and the design of multi-parameter integrated optical fiber probe were introduced. The resolution of strain and temperature measurement of the fiber multi-parameter sensor system reached 4.7 \times 10^-10 and 6×10^-5 ℃ , respectively. A comprehensive multi-parameter earthquake observation experiment was carried out at the seismic station. The results show that the integrated optical fiber multi-parameter seismic observation system can simultaneously record the earth tide signal, seismic wave signal and environmental temperature disturbance, and has good anti-environmental interference ability and long-term stability, which is expected to provide a new technique for crustal deformation observation.     

三沙湾海岸线时空演变

海岸带是海陆之间的过渡区域,是人类活动和经济发展较为活跃的地区。海岸线时空演变研究对海岸带资源开发与保护有重要意义,但国内外对三沙湾海岸线时空演变研究较少。本文基于25 a的卫星遥感资料,解译出4个时相的三沙湾海岸线,定量分析海岸线变化趋势,并研究海岸线演变的主要因素。研究表明,25 a的三沙湾海岸线总体长度呈增长趋势：1988-1996年岸线总长度变化不大;2003年较1996年增加约6 947 m、增长约11.5%;2003-2013年岸线总长度增加较为明显,2013年较2003年增加约24 128 m、增长约39.6%,其增速约为1996-2003的3.4倍。砂质岸线长度基本稳定,基岩和泥质岸线长度有所减少,人工岸线在逐年增加,这主要是滩地围垦、港口建设和海岸人工改造等人为因素造成的。     

闽江河口地区河道演变及其影响因素分析

比之传统的调查方法,利用遥惑技术进行岸线解译具有范围大、多时段、省时、省力以及快速等优点。根据多时相TM遥惑数据,对闽江河口地区岸线进行解译,结合20世纪60年代地形图和2001年海图,分析了河口地区河道演变情况．对河流岸线和浅滩变化进行对比分析,发现闽江口南部水道多呈淤积状态,北边水道则为弱侵蚀型岸线;南部水下浅滩有新发育,原有的浅滩面积有很大的扩展,北边水道变化较小;文章最后对河道演变的影响因素进行了初步的探讨。     

用辐射传输方程改进算法反演LandSAT8海表温度的效果检验和适用条件分析

为检验辐射传输方程改进算法推广用于反演LandSAT8 海表温度(SST)的可行性及适用条件,本研究在修订算法部分参数的基础上,分别反演出算法改进前后的LandSAT8 SST并进行比较。MODIS SST验证表明改进算法对大气透过率偏差和SST偏差均有明显改善,除2019-08-21图像外,其他3景图像SST偏差在0.5℃左右;浮标SST验证表明改进算法在近岸海域对SST偏差改善效果同样显著,其平均偏差bias和均方根误差rmse分别减少到0.14、0.18℃,基本可以忽略不计;进一步研究发现,改进算法SST反演精度与研究海域大气透过率分布均匀程度呈显著的正相关关系,R²[bias(SST)]=0.920 7,R²[rmse(SST)]=0.934 0。使用改进算法遥感监测电厂温排水：嵩屿电厂表层海水温升羽流不明显;而后石电厂表层温升现象最显著,温升幅度和扩散影响范围最大,在其排水口附近存在稳定的高温水体(温升＞3℃);晋江电厂表层温升羽流呈扇形分布,流轴短,主要集中在排水口附近。     

Impact of flooded rice paddy on remotely sensed evapotranspiration in the Krishna River basin,India

Evapotranspiration (ET) is one of the major water exchange processes between the earth's surface and the atmosphere. ET is a combined process of evaporation from open water bodies, bare soil and plant surfaces, and transpiration from vegetation. Remote sensing-based ET models have been developed to estimate spatially distributed ET over large regions, however, many of them reportedly underestimate ET over semi-arid regions (Jamshidi et al., Journal of Hydrometeorology, 2019, 20, 947–964). In this work, we show that underestimation of ET can occur due to the open water evaporation from flooded rice paddies ignored in the existing ET models. To address the gap in ET estimation, we have developed a novel approach that accounts for the missing ET component over flooded rice paddies. Our method improved ET estimates by a modified Penman-Monteith algorithm that considered the fraction of open water evaporation from flooded rice paddies. Daily ET was calculated using ground based meteorological data and the MODIS satellite data over the Krishna River Basin. Seasonal and annual ET values over the Krishna Basin were compared with two different ET algorithms. ET estimates from these two models were also compared for different crop combinations. Results were validated with flux tower-based measurements from other studies. We have identified a 17 mm/year difference in average annual ET over the Krishna River Basin with this new ET algorithm. This is very critical in basin scale water balance analysis and water productivity studies.     

Regional‐scale mapping of groundwater discharge zones using thermal satellite imagery

Mapping groundwater discharge zones at broad spatial scales remains a challenge, particularly in data sparse regions. We applied a regional scale mapping approach based on thermal remote sensing to map discharge zones in a complex watershed with a broad diversity of geological materials, land cover and topographic variation situated within the Prairie Parkland of northern Alberta, Canada. We acquired winter thermal imagery from the USGS Landsat archive to demonstrate the utility of this data source for applications that can complement both scientific and management programs. We showed that the thermally determined potential discharge areas were corroborated with hydrological (spring locations) and chemical (conservative tracers of groundwater) data. This study demonstrates how thermal remote sensing can form part of a comprehensive mapping framework to investigate groundwater resources over broad spatial scales. Copyright © 2013 John Wiley & Sons, Ltd.     

大兴安岭天保工程区生态系统服务变化研究

利用Landsat和MODIS遥感数据和InVEST模型,评估了1990―2015年大兴安岭天保工程区实施前后生态系统土壤风蚀量、生境质量和碳储量的时空变化,并通过地理探测器方法对生态系统服务时空变化分布与趋势进行驱动因子探测和交互作用探测分析。结果表明：① 从空间分布来看,额尔古纳市南部、鄂温克族自治旗西北部、科尔沁右翼前旗的土壤风蚀量大,生境质量差,碳储量低。② 2000年天保工程实施之后,森林面积显著增加,土壤风蚀量减少1.14%,生境质量增加0.49%,碳储量减少幅度为0.12%,低于2000年以前的0.64%。③ 土壤风蚀量主要受植被类型、土壤类型的影响,生态系统类型、植被类型对生境质量、碳储量空间异质性的影响显著大于其他因素,海拔、坡度2种地形因子对土壤风蚀量、碳储量的解释能力很小。温度、降水2种气候因子对土壤风蚀量、生境质量和碳储量的解释能力不固定,但仍是不可或缺的因素。     

城市暴雨内涝综述：特征、机理、数据与方法

建成环境的高空间异质性与致灾过程的复杂性给城市暴雨内涝研究带来巨大的挑战,具体表现为模型代表性不够、计算效率低、基础数据和验证数据匮乏。以机器学习为代表的人工智能技术、高分遥感和互联网大数据的快速发展则为城市暴雨内涝研究提供了新的契机。论文结合人工智能、高分遥感和互联网大数据等新技术发展,从特征、机理、数据与方法4个维度对暴雨内涝的研究现状和发展趋势进行了系统总结,主要结论包括：① 暴雨内涝具有短历时性、空间散布性、连锁性和突变性,其热点呈现空间上的动态迁移特征。② 降雨时空特征和城市化程度决定暴雨内涝灾害的量级,地形条件尤其是微地形则决定发生位置和内涝频率。地形控制作用指数(topographic control index, TCI)对暴雨内涝发生位置具有良好的指示能力。③ 排水管网、高精度地形和不透水面分布是暴雨内涝模拟的关键基础数据;降雨过程的高时空变异性是暴雨内涝近实时预报预警的主要瓶颈,需要充分利用天气雷达观测提高其精准度;互联网众包大数据是获取高空间覆盖度暴雨内涝灾情信息的新途径,但也面临不同类型信息融合、提炼和质量控制的挑战。④ 结合水动力模拟与机器学习可建立兼具物理基础和计算效率的暴雨内涝模拟方法,是实现近实时模拟与快速预报预警的有效途径。     

无人机在冰川变化监测中的应用——以唐古拉山小冬克玛底冰川为例

近年来,无人机技术发展迅速。无人机的灵活、便携、超高分辨率等特性使其在冰川变化监测上具有很好的发展前景。论文以青藏高原腹地的唐古拉山小冬克玛底冰川为例,首次在海拔5400 m以上的地区开展了无人机航测,通过非冰川区的基岩对2019年7月20日、2019年9月27日和2020年7月16日3期航测产品进行相对校正,分析了小冬克玛底冰川在物质平衡年和消融期内的变化情况,并进一步讨论了无人机在冰川区观测时所遇到的问题及其优势,以期为后续研究提供参考。结果表明:利用无人机技术能够实现冰川在消融期内的末端、面积以及高程变化监测,并对冰川的细部特征进行分析,适合于小区域单条冰川的变化监测。     

1990-2020年间念青唐古拉山中段北坡边坝地区冰川变化及气候响应

念青唐古拉山作为青藏高原东南缘重要山古冰川分布区,受季风影响,各区域冰川变化特征差异明显。论文通过Landsat TM/ETM+/OLI资料、ASRTMGDEM与气象数据,采用比值—阈值法、目视解译和VOLTA模型,结合实地考察,对1990—2020年间念青唐古拉山中段北坡边坝地区现代冰川进退状况、面积变化、冰储量变化以及冰川变化对气候变化响应特征进行研究。结果表明：① 1990—2020年5条冰川(玉贡拉冰川、玛拉波冰川、祥格拉冰川、孔嘎冰川、贡日—庚东冰川)末端高程逐渐升高,面积和冰储量分别减少30.38 km²和4.64 km³,总体缩减并呈现加速趋势。② 冰川冰储量减少0.14~1.92 km³,总体变化率为0.40%·a^-1。2020年上述5条冰川储量占1990年冰川储量的比例分别为0.70、0.99、0.98、0.91和0.82,显示出冰川规模越大,在短时间尺度的变化量越小。③ 气象数据分析显示,1990—2020年研究区冰川变化受气温升高主导,平均气温变化率为0.51 ℃。水热组合呈现温度升高—降水减少,且在最后10 a日益显著,预测未来冰川变化仍受气温控制并呈加速退缩趋势。④ 区域对比研究表明,念青唐古拉山冰川面积变化总体呈退缩状态,但各区域冰川变化特征差异明显。同时,不同研究方法对同一冰川区冰储量模拟结果相差较大,相对误差范围为34.45%~115.49%,精确的冰储量可对比研究方法仍有待进一步研究。