Analysis of urban heat island effect in Visakhapatnam,India, using multi-temporal satellite imagery: causes and possible remedies

The thermal data sets of Landsat for the years 2014 and 2019 are used to assess the transients of land surface temperature (LST) in Visakhapatnam, India. The variation in estimated temperature fields is compared with the land use pattern to validate temperature with reference to land use land cover (LULC). During the considered period, the built-up area in the study region increased by 63%. The aerial extent of water bodies has come down by 12.5%, and there is a significant drop in vegetation cover. The LST of the regions with the densely built-up area is high compared to the other types of land use. A mean rise of 4.8 °C in the LST has been noticed over the study area during this period. Few monitoring points representing rural areas within the proximity of the study region have been established, and the LST is monitored explicitly. As a result, it has been observed that the temperature in rural areas is relatively lower than the city region, which confirms the urban heat island effect. A micro-level study has been conducted by dividing the study area into four zones as per administrative boundaries. Statistical analysis using the zonal attributes affirms a positive correlation of 0.55 between LST and the built-up area. In contrast, a negative correlation of 0.52 between LST and vegetation cover is observed. The LULC results are validated using Google Earth Images captured at a finer resolution. Being selected as one of the cities under the smart city mission by the Urban Development Ministry of Govt. of India, it is expected that the land use pattern in Visakhapatnam will change drastically in the coming years. The findings of this study foster the relationship between LST and LULC, and the conclusions thus drawn would help planners for the sustainable development of Visakhapatnam.

     

基于TVX方法的南京市城区时空格局与地表温度的研究

随着全球气候变化和人类活动的不断加剧,导致生态、资源与环境问题日趋严重,区域空间格局变化与地表温度的研究已成为全球环境变化的热门和重点研究课题。采用2000年、2006年和2010年的TM遥感影像，结合GIS和RS技术研究南京市不同时期的时空分布特征、演变特征以及地表温度的变化。结果表明: 2000～2010年南京市城区建设用地面积增长幅度较大，而耕地面积却呈显著递减趋向，水体和草地面积基本保持稳定，林地面积略有增长。NDVI和MNDWI均与地表温度呈负相关，通过构建TVX空间观察南京城市化进程，发现植被覆盖度持续降低，地表温度急速上升，到2010年，所有土地利用类型的聚类点的转化轨迹趋于一点，变化向量幅度是：林地>草地>水体>耕地，研究结果表明林地和水域对城市地表热环境具有强大的缓解作用，在城市化进程中，要注重城市水域和林地的保护，同时要改善城市绿化、减少能耗和节制热源     

Impacts of past and future land changes on landslides in southern Italy

Regional Environmental Change - Land use and land cover (LULC), as well as their geographical and temporal variations, affect landslide occurrence and the related risk, in ways that are difficult...     

长三角地区植被退化的空间格局及影响因素分析

植被退化是陆地生态系统功能下降的重要表征。利用2000~2010年SPOT-VEGETATION NDVI遥感数据、土地利用数据,采用趋势分析、叠加分析和格网计算方法,对长三角植被退化的空间格局及其影响因素进行分析。结果表明:10a间长三角地区最大化NDVI均值空间分布南北高、中间低,区域14%的植被覆盖面积显著退化。植被退化呈现一定的空间分异,而人类活动是导致植被退化的主要原因。在长江以南、太湖的北部与东部,环杭州湾地区及南京、南通和台州等城市快速无序的城镇化,造成了建设用地面积增加和耕地的破碎化,使植被退化区域集中连片分布。经济利益驱动农民将水田转化为向水产养殖,引起植被退化。部分区域植被面积未减少而呈退化态势的原因有待研究。     

Quantification of land use/land cover changes in Pearl River Delta and its impact on regional climate in summer using numerical modeling

This study quantified land use/land cover (LULC) changes in Pearl River Delta (PRD) of South China and its impact on regional climate over the last two decades. The LULC change analyses were accomplished by applying a change detection method to a set of Landsat imagery and ancillary data acquired from 1970s to 2000. The results indicate that the urban expansion is the prevailing LULC change in the PRD. Impact of LULC change on regional climate was simulated by using a mesoscale climate model. Two different land cover datasets circa 1990 and 2000 were input to the model to investigate the impact of urbanization on regional weather and climate condition in summer 2005. The simulation results show that rapid urban expansion can substantially alter regional climate conditions in the PRD region including monthly mean temperature, precipitation, moisture, and surface heat fluxes.     

Identifying landslide activity as a function of economic development: a case study of increased landslide frequency surrounding Dominical, Costa Rica

Despite legislation and voluntary initiatives aimed at protecting the environment, previously undeveloped areas of Costa Rica are subject to new development opportunities. This growth has been largely unchecked, and has led to enormous amounts of foreign direct investment. This unchecked investment has led to destabilization of the natural environment, and, in the case of the Dominical?CUvita corridor on the Pacific Coast, has led to an observed increase in landsliding activity. Data collection for a landslide inventory of the study area was created via direct inspection and remote sensing techniques in December 2007 and November 2008. Evaluation of data was based on the slide location, surrounding land cover/land use, and evidence of reactivation. Data were subjected to a ??² 2 × 3 contingency table and the Freeman?CHalton extension of the Fisher exact probability test to gauge the level of impact from human-induced land-use change on the rate of landslide events. The results suggest more attention needed to monitor the impacts of human agency in the region lest landslide susceptibility become greater.     

1971~2003年三峡库区诱发滑坡的临界降水阈值初探

滑坡、崩塌和泥石流是三峡库区的三大主要地质灾害类型，其中滑坡所占比例最大。强降水、连阴雨等气象因素是诱发滑坡、泥石流等地质灾害的重要因子。利用三峡库区及其周边地区蓄水前常规气象站1971~2003年逐日降水资料和库区有完整记录的滑坡个例资料分析了滑坡灾害与发生前各个时段降雨的强度、持续时间、总量等之间的关系，初步确定不同保证率下诱发三峡库区滑坡灾害发生的临界降水量值，为开展三峡库区滑坡灾害气象监测预警提供科学依据     

基于GIS的高原湖泊流域生态安全格局构建及优化研究——以星云湖流域为例

以星云湖流域自然人文环境特征、主要生态环境问题为出发点,结合景观生态学原理方法、熵值法和GIS空间分析技术,实现星云湖流域生态安全的空间分异格局及优化。选取海拔高程、坡度、土壤侵蚀强度、地质灾害易发性、土地覆被(利用方式和植被覆盖度)、人口密度、距自然保护区距离、距离建设用地和距水源距离等因素为阻力因子叠加生成综合阻力要素,根据GIS空间成本距离分析原理,引用最小累积阻力模型识别构建流域生态廊道和生态节点,进一步规划优化流域生态功能网络的结构和功能。研究表明:(1)从各安全等级面积比例和平均生态安全指数角度,星云湖流域中度安全占流域总面积的45.81%,高度安全为25.24%,较低安全为21.05%,不安全占7.9%,平均生态安全指数为2.95,流域生态安全总体处于中度安全,生态系统健康一般,但部分地区生态安全性较低,主要分布在南部、东部和北部地区,应重视这些区域的生态保护和建设;同时,坡度、水土流失因子和水资源(自然环境要素)、土地利用格局和距离建设用地(人类活动干扰要素)等因素是流域生态安全格局形成的主要因子;(2)识别规划了中枢生态源、核心型生态源斑块、一般生态源、多种级别的生态廊道和生态节点或战略点等构成的具有结构性和层次性的流域生态安全网络格局,对不同层次和结构的生态源、生态廊道和生态节点或战略点进行针对性建设保护,将有效提升流域生态系统的功能价值性和系统的完整性,进而加强流域生态稳定安全。     

Modeling spatio-temporal change patterns of forest cover: a case study from the Himalayan foothills (India)

The present study used temporal remote sensing data for 1990, 2001 and 2006 to assess spatio-temporal patterns of forest cover changes in Shiwalik range of the Himalaya, Dehradun forest division. Forests are innately associated to human well-being. However, with the increasing anthropogenic activities, deforestation has increased. Quantitative change analysis of the forest cover for the past two decades provides valuable insight into the forest conservation vis-à-vis anthropogenic activities in the region. Spatio-temporal datasets along with biotic and abiotic variables provide opportunities to model the forest cover change further. The present study investigates forest cover change and predicts status of forest cover in the Dehradun forest division. Land Change Modeller (LCM) was used to predict status of forest cover for 2010 and 2015 using current disturbance scenarios. Comparing actual LULC of 2006 with the predicted LULC of 2006 validated change prediction model and agreement was 61.03%. The forested areas are getting degraded due to anthropogenic activities, but deforestation/degradation does not contribute much in expanding urban area. Agricultural areas and fallow lands are the main contributors to increased urban area. The study demonstrates the potential of geospatial tools to understand spatio-temporal forest cover change and generate the future scenarios.     

Impacts of predicted sea level rise on land use/land cover categories of the adjacent coastal areas of Mumbai megacity,India

Physical and ecological responses of the coastal areas in the vicinity of Mumbai, India, due to relative sea level rise are examined by different inundation scenarios. Evaluation of potential habitat loss under sea level rise was made by incorporating the land use/land cover (LULC) adopted from the digital elevation model with the satellite imagery. LULC categories overlaid on 1.0, 2.0, 3.0 and 4.0 m coastal elevation showed that the coastal areas of Mumbai were mostly covered by vegetation followed by barren land, agricultural land, urban areas and water bodies. For the relative sea level rise scenarios of 1.0, 2.0, 3.0 and 4.0 m, the tidal inundation areas were estimated to be 257.85, 385.58, 487.56 and 570.63 km², respectively, using GIS techniques. The losses of urban areas were also estimated at 25.32, 41.64, 54.61 and 78.86 km² for the 1.0, 2.0, 3.0 and 4.0 m relative sea level rise, respectively, which is most alarming information for the most populated city on the eastern coast of India. The results conclude that relative sea level rise scenario will lead profound impacts on LULC categories as well as on coastal features and landforms in the adjoining part of Mumbai. The sea level rise would also reduce the drainage gradients that promote flooding condition to rainstorms and subsequently increase saltwater intrusion into coastal regions. Alterations in the coastal features and landforms correlated with inundation characteristics that make the coastal region more vulnerable in the coming decades due to huge development activities and population pressures in Mumbai.     

Impacts of future land use/land cover on wildfire occurrence in the Madrid region (Spain)

This paper assesses the relative importance of socioeconomic factors linked to fire occurrence through the simulation of future land use/land cover (LULC) change scenarios in the Madrid region (Spain). This region is a clear example of the socioeconomic changes that have been occurring over recent decades in the European Mediterranean as well as their impact on LULC and fire occurrence. Using the LULC changes observed between 1990 and 2006 as a reference, future scenarios were run up to 2025 with the conversion of land use and its effects model. Simultaneously, the relationship between LULC arrangement (interfaces) and historical fire occurrence was calculated using logistic regression analysis and used to quantify changes in future fire occurrence due to projected changes in LULC interfaces. The results revealed that it is possible to explain the probability of fire occurrence using only variables obtained from LULC maps, although the explanatory power of the model is low. In this context, border areas between some LULC types are of particular interest (i.e., urban/forest, grassland/forest and agricultural/forest interfaces). Results indicated that expected LULC changes in Euro-Mediterranean regions, particularly given the foreseeable increase in the wildland–urban interface, will substantially increase fire occurrence (up to 155 %). This underlines the importance of future LULC scenarios when planning fire prevention measures.     

基于最小累积阻力模型的贵阳市景观生态安全格局构建

贵阳市是我国典型的喀斯特地区,水土流失严重,生态环境脆弱。在生态重要性、景观连通性和生态需求分析的基础上进行生态源地识别,根据土地覆被状况、人为干扰程度和夜间灯光数据构建了生态阻力面,基于最小累积阻力模型识别生态廊道网络,在此基础上构建了贵阳市域和市区的景观生态安全格局。结果表明:(1)贵阳市最重要和重要生态斑块总面积5 393.43 km2,主要分布在西部和北部;生态用地斑块的景观连通度总体较高,其中园地最好,林地最差;生态需求较高的区域主要分布在人口密集的城市建成区周边。生态源地占总面积的18.56%,集中分布于北部及西南部红枫湖、百花湖等区域;(2)贵阳市生态廊道总长为933.58 km,其中关键廊道长287.6 km,沿东北向西南方向延伸。现状廊道遍布市域,主要为河流水系;潜在廊道和关键廊道98%都为林地,主要分布于北部和西部生态环境较好的山地丘陵区;(3)市区景观生态安全格局中,生态源地主要集中在百花湖、红枫湖、香纸沟、相思河等风景区,花溪湿地和南明河作为市区关键廊道纵贯南北。最后,在此基础上提出了"保护和建设并重、区县间统一规划的"生态系统管理对策,为贵阳市生态环境建设提供切实可行的科学指导。     

基于土壤侵蚀模型的滑波临界雨量估算探讨

针对滑坡临界雨量确定目前存在的问题,提出一种基于土壤侵蚀模型的滑坡临界雨量估算的新方法。该方法基本思路是：降雨引起土壤侵蚀,当土壤侵蚀达到一定强度时可诱发滑坡,因此利用土壤侵蚀模型可以推算滑坡临界雨量。以湖北省秭归县为例进行试验,从降雨-土壤侵蚀-滑坡的成灾机理入手,利用卫星资料、地理信息资料及降雨资料,计算降雨侵蚀力、土壤可蚀性、地形（坡长、坡度）、植被覆盖和土地利用类型等因子,基于USLE土壤侵蚀模型,计算滑坡发生时土壤侵蚀强度,通过分析多个滑坡个例,确定滑坡临界土壤侵蚀强度,再根据降雨侵蚀力与降雨量之间的关系,推算不同预警点滑坡临界雨量。相比以往仅仅分析灾情与降雨之间关系的传统方法,该方法有较为清晰的物理意义,实际业务中也易于实现,在滑坡预警预报中有较高实用价值     

基于MODIS NDVI的攀枝花市植被覆盖变化及其驱动力#br#

攀枝花市位于金沙江与雅砻江的交汇处是长江上游生态脆弱区，也是天然林保护工程和退耕还林工程等的重点实施区。基于2001~2010年MODIS NDVI数据，以及同时期的气象数据和其他辅助数据，利用最大值合成法（MVC）、趋势分析法以及线性相关分析等方法研究了攀枝花市植被覆盖时空变化及其与气候因素和人类活动的关系。研究结果表明：攀枝花市植被覆盖整体较高，属于高植被覆盖区域，年际尺度上，植被覆盖呈上升的趋势，增长速率为0.02/10 a；从年内来看，9月NDVI达到最大值，NDVI最小值出现在3月；植被覆盖在水平空间上呈“南低北高”的分布特征，并在垂直空间上呈现出显著的差异性，研究区植被覆盖分别在海拔2 000~3 000 m、坡度30°~40°达到最大值；受水热条件的影响，阴坡（0°~45°, 315°~360°）植被覆盖高于阳坡（135°~225°），而平地（-1°）植被覆盖度最低；就整个研究区而言，植被退化的面积与增加的面积分别占0.7%和44.4%，增加的面积远大于退化的面积；年际尺度上植被受气温的影响高于受降水的影响；大规模生态工程建设是研究区植被覆盖增加的主要驱动因素。 关键词： 植被覆盖变化；归一化植被指数；气候变化；人类活动；攀枝花市     

岷江上游生态环境脆弱性评价

生态环境脆弱性评价是全球生态问题和可持续发展研究中的重要内容之一。岷江上游因地质构造复杂、人地矛盾突出、生态系统异常脆弱和灵敏而备受关注。本文以岷江上游生态环境脆弱性为研究对象,选取证据权重法(WOE)进行滑坡脆弱性评价,层次分析法(AHP)进行水力侵蚀、景观破坏与污染脆弱性评价;在此基础上,进行了研究区各生态主题脆弱性的空间叠加分析;探讨了岷江上游生态环境脆弱性及其在不同影响因子作用下的空间分异特征。结果表明:研究区的滑坡脆弱性、水力侵蚀脆弱性、景观破坏与污染脆弱性均以轻微度为主,分别占研究区面积的80.43%、71.89%、75.55%;各生态环境主题脆弱性综合分析表明,54.70%的区域至少面临一种生态问题,面临两种及以上环境问题的区域占15.43%,同时面临三种环境问题的占1.35%。研究结果探讨了岷江上游生态环境存在的主要问题和影响因子,对岷江流域乃至长江流域的生态安全和可持续发展具有积极意义,未来应持续关注生态环境脆弱区的生态环境问题。     

基于地理探测器的城市热岛驱动因素分析——以武汉市为例

城市热岛是由地表特征、社会经济和气象等因素综合引起的环境问题，具有显著的季节差异。大量的研究分析了土地覆盖类型、地表覆盖指数、景观指数等和城市热岛之间的相互关系，忽略了气象因素以及气象因素、地表特征与社会经济之间的交互作用对城市热岛的影响。在分析武汉市不同季节热岛强度及空间自相关分析的基础上，采用地理探测器研究了不同季节城市热岛强度的驱动因素及其交互作用和热岛风险区探测。结果表明：武汉市各季节热岛强度在空间上呈现强烈的集聚特征。按春夏秋冬顺序，武汉市4个季节热岛强度的主要驱动因素分别为地表特征、社会经济、社会经济和气象因素，四季对应的主要驱动因子分别是土地覆盖类型、夜间灯光、夜间灯光和气压。在11个驱动因子的交互影响中，四季热岛强度交互影响作用最大的分别为土地覆盖类型与夜间灯光、土地覆盖类型与NDVI、土地覆盖类型与夜间灯光、气压与土地覆盖类型或与NDVI。风险探测结果显示春夏秋冬平均热岛强度最高的分别为城市建成区、城市建成区、城市建成区、裸地和低植被覆盖区，最低的分别是水体、水体、水体、植被；四季的平均城市热岛强度随着夜间灯光的增加而增加；NDVI子区域平均热岛强度呈现先上升后下降的趋势；气压子区域平均热岛强度总体呈现逐步上升的趋势。这些结果揭示了热岛强度的季节变异特征，可为缓解城市热岛效应措施的制订提供依据。     

山区县乡公路建设对沿线景观格局的影响研究——以昆明市东川区蒋家沟小流域为例

公路建设对区域的各种生态过程、灾害活动等影响引起广大学者的关注,目前对小尺度区域公路沿线景观格局的影响效应研究较少。利用3S技术对云南省昆明市东川区蒋家沟小流域内县乡级公路沿线三期影像的景观进行分类和制图,运用Fragstats3.3软件和景观指数计算方法,从斑块和景观两个层次上研究公路建设前后景观格局的变化。结果表明:(1)不同时期建设公路及全部公路沿线均出现坡耕地显著减少、梯田显著增加的趋势;在不同距离梯度上,针叶林、灌丛、坡耕地景观百分比不断降低,梯田、草地面积增加。(2)公路沿线景观格局动态变化则表现为:在斑块层次上,1973年前建设公路沿线景观形态更复杂,破碎化程度高,1973年后建设公路沿线阔叶林、针叶林斑块数量增加,破碎化趋势明显;在景观层次上,公路沿线景观多样性增加,景观内部连通性降低,整体景观格局破碎化加剧,但1973年前建设公路沿线空间连接性有所提升,1973年后建设公路沿线则表现出空间连接性下降的趋势,公路全线两侧150 m范围对景观水平指数的影响最大。     

近15年来长江源区土地利用变化及其生态环境效应

长江源区是我国重要的水源涵养区,也是高海拔地区生物多样性最集中的地区和生态变化最为敏感的地区。基于1986年TM和2000年ETM+卫星遥感数据和野外实地调查,采用GIS软件和景观生态空间分布格局分析方法,对长江源区近15年来土地利用类型的时空变化进行了研究。结果表明：1986～2000年,源区林地和湿地面积减少54.2 %和42.69 %,建设用地、耕地和未利用土地面积分别增加120 %、43.83 %和21.1 %。全区土地利用的空间位置转换面积大于其数量变化,土地利用类型总变化的面积大小依次是草地＞未利用土地＞湿地＞水域＞林地＞耕地＞建设用地。土地利用动态转化过程以草地转化为未利用土地、湿地转化为草地和未利用地逆转为草地为主要特征。15年里景观破碎化程度加剧,分维数和多样性指数增加,优势度降低,景观异质性增强。长江源区脆弱的生态体系对土地利用变化响应强烈,造成水土流失与沙漠化程度加剧,导致大范围高寒草甸、草原植被退化,湿地萎缩。气候变化和人类经济活动是导致研究区土地利用变化的主要因素。     

河流廊道的城市景观生态意义分析——以四川省邛崃市为例

为更好地理解河流廊道对城市景观生态的意义，研究计算了四川省邛崃市景观类型多样性空间聚类特征和河流廊道景观格局特征。结果表明：（1）局部空间自相关指数Getis Ord Gi*显示研究区土地利用景观类型多样性存在高值聚类区，其形状与研究区河流廊道分布格局近似。（2）河流廊道主要与农田和林地景观毗邻，其两侧300 m缓冲区内主要景观类型为农田和林地，且林地破碎度小；而道路廊道主要与农田和建设用地毗邻，其两侧缓冲区内主要景观类型为农田和建设用地，其景观更为破碎化。（3）地形因素对研究区西部山区土地利用景观格局影响较大，景观类型多样性统计热点区域分布于西部河流台地。邛崃市河流廊道在提高该地区土地利用景观类型多样性中起到积极作用，需要保护邛崃市河流廊道景观多样性，加强河流与自然景观的连通性     

Vegetation of Northeast China during the late seventeenth to early twentieth century as revealed by historical documents

Historical vegetation antedates current anthropogenic land use. It can therefore be used to reveal land use/cover changes due to human activities. We collected 197 records from Chinese historical documents, including gazettes, government files, private literature, and travel notes, to reveal vegetation status during the late seventeenth century to early twentieth century across Northeast China. The results indicate that woodland and grassland were the dominant landscapes, whereas swamps accounted for a small area. Woodland was composed of needleleaf deciduous forest, broadleaf deciduous forest, and mixed needleleaf and broadleaf forest. Mixed forest occupied the largest area. This forest type covered most of the Greater Khingan Range, Lesser Khingan Range, and Changbai Mountains. Grassland occupied the Songnen Plain, Liao River Plain, and Inner Mongolia Plateau, whereas swamps covered nearly the entire Sanjiang Plain. In addition, the data revealed that most current cropland was converted from grassland in the Northeast Plain, whereas a small area of cropland was converted from woodland and swamp.