Long-term hydrological,biogeochemical, and climatological data from Walker Branch Watershed,East Tennessee,USA

In 1967, the original Walker Branch Watershed (WBW) project was established to study elemental cycling and mass balances in a relatively unimpacted watershed. Over the next 50+ years, findings from additional experimental studies and long-term observations on WBW advanced understanding of catchment hydrology, biogeochemistry, and ecology and established WBW as a seminal site for catchment science. The 97.5-ha WBW is located in East Tennessee, USA, on the U.S. Department of Energy's Oak Ridge Reservation. Vegetation on the watershed is characteristic of an eastern deciduous, second-growth forest. The watershed is divided into two subcatchments: the West Fork (38.4 ha) and the East Fork (59.1 ha). Headwater streams draining these subcatchments are fed by multiple springs, and thus flow is perennial. Stream water is high in base cations due to weathering of dolomite bedrock and nutrient concentrations are low. Long-term observations of climate, hydrology, and biogeochemistry include daily (1969–2014) and 15-min (1994–2014) stream discharge and annual runoff (1969–2014); hourly, daily, and annual rainfall (1969–2012); daily climate and soil temperature (1993–2010); and weekly stream water chemistry (1989–2013). These long-term datasets are publicly available on the WBW website (https://walkerbranch.ornl.gov/long-term-data/ ). While collection of these data has ceased, related long-term measurements continue through the National Ecological Observatory Network (NEON), where WBW is the core terrestrial and aquatic site in the Appalachian and Cumberland Plateau region (NEON's Domain 7) of the United States. These long-term datasets have been and will continue to be important in evaluating the influence of climatic and environmental drivers on catchment processes.     

Watershed delineation using hydrographic features and a DEM in plain river network region

Watershed delineation is a required step when conducting any spatially distributed hydrological modelling. Automated approaches are often proposed to delineate a watershed based on a river network extracted from the digital elevation model (DEM) using the deterministic eight‐neighbour (D8) method. However, a realistic river network cannot be derived from conventional DEM processing methods for a large flat area with a complex network of rivers, lakes, reservoirs, and polders, referred to as a plain river network region (PRNR). In this study, a new approach, which uses both hydrographic features and DEM, has been developed to address the problems of watershed delineation in PRNR. It extracts the river nodes and determines the flow directions of the river network based on a vector‐based hydrographic feature data model. The river network, lakes, reservoirs, and polders are then used to modify the flow directions of grid cells determined by D8 approach. The watershed is eventually delineated into four types of catchments including lakes, reservoirs, polders, and overland catchments based on the flow direction matrix and the location of river nodes. Multiple flow directions of grid cells are represented using a multi‐direction encoding method, and multiple outflows of catchments are also reflected in the topology of catchments. The proposed approach is applied to the western Taihu watershed in China. Comparisons between the results obtained from the D8 approach, the ‘stream burning’ approach, and those from the proposed approach clearly demonstrate an improvement of the new approach over the conventional approaches. This approach will benefit the development of distributed hydrological models in PRNR for the consideration of different types and multiple inlets and outlets of catchments. Copyright © 2015 John Wiley & Sons, Ltd.     

The data‐driven approach as an operational real‐time flood forecasting model

Accurate water level forecasts are essential for flood warning. This study adopts a data‐driven approach based on the adaptive network–based fuzzy inference system (ANFIS) to forecast the daily water levels of the Lower Mekong River at Pakse, Lao People's Democratic Republic. ANFIS is a hybrid system combining fuzzy inference system and artificial neural networks. Five ANFIS models were developed to provide water level forecasts from 1 to 5 days ahead, respectively. The results show that although ANFIS forecasts of water levels up to three lead days satisfied the benchmark, four‐ and five‐lead‐day forecasts were only slightly better in performance compared with the currently adopted operational model. This limitation is imposed by the auto‐ and cross‐correlations of the water level time series. Output updating procedures based on the autoregressive (AR) and recursive AR (RAR) models were used to enhance ANFIS model outputs. The RAR model performed better than the AR model. In addition, a partial recursive procedure that reduced the number of recursive steps when applying the AR or the RAR model for multi‐step‐ahead error prediction was superior to the fully recursive procedure. The RAR‐based partial recursive updating procedure significantly improved three‐, four‐ and five‐lead‐day forecasts. Our study further shows that for long lead times, ANFIS model errors are dominated by lag time errors. Although the ANFIS model with the RAR‐based partial recursive updating procedure provided the best results, this method was able to reduce the lag time errors significantly for the falling limbs only. Improvements for the rising limbs were modest. Copyright © 2011 John Wiley & Sons, Ltd.     

基于NDVI时间序列数据的江西省水稻种植制度变化研究

利用Savitzky-Golay滤波对覆盖江西省范围的SPOT VGT NDVI时间序列数据进行平滑处理的基础上,结合坡度数据,通过非监督分类的方法提取了江西省2000、2005和2010年水稻种植范围,并根据NDVI的年内动态变化,从水稻种植范围、水稻生长季起始时间、水稻复种指数和NDVI最大振幅等分析了江西省水稻种植和生长情况,探讨2000~2010年江西省水稻生产的变化。     

基于天地图的POI数据采集系统设计与实现

针对传统POI数据采集方式成本高,更新缓慢,属性信息不完整等问题,分析天地图提供的地理信息服务和编程接口,结合网络开发技术提出了基于天地图的POI数据采集思路,开发了原型系统,实现了POI数据的采集与动态更新,对保障POI数据现势性、正确性和完整性具有参考意义。     

利用3S技术及三维激光扫描仪进行耕地损毁勘测

利用RS技术发现耕地损毁,网络RTK测量耕地损毁范围及面积,GIS提取耕地被损毁前的分类面积和等别,以及利用网络RTK配合Maptek I-Site8810三维激光扫描仪重构损毁耕地三维模型。     

基于Logistic和Gompertz曲线模型拟合的建筑物沉降分析

重大工程建设一般会有定期的沉降和变形监测,本研究利用具有规律变化的Logistic和Gompertz曲线模型进行拟合,并以某大型发电厂为研究对象,利用近15年的监测数据,建立预测模型并进行精度评估。研究结果表明,若监测数据具有一定程度的稳定性,并对计算时监测数据进行合理取舍,对采取的全区、分区平均值或单一点高度值的检测数据,运用Logistic和Gompertz曲线模型来预测大型建筑物的沉降情况是可行的。     

基于MapGIS的地理国情普查研究与应用

随着第一次全国地理国情普查工作的全面开展,出现了众多地理国情信息数据处理软件,数据的采集和制作也遇到了各种各样的问题,我们利用MapGIS平台对软件的内部模块和功能进行了有效的利用,并得到了很好的应用效果。     

天地图·安徽综合服务系统的设计与实现

统计数据基于地理信息的集成,可以弥补传统的统计信息单一、不直观的表现形式,充分发挥其在政府管理决策中所起的重要作用以及对社会发展的导向作用。本文通过研究建立综合统计数据模型,阐述了数据来源、数据组织、空间数据模型建立及查询逻辑。以安徽省综合信息服务系统为例,在基于天地图·安徽的地图服务和Arc GIS API For Flex开发包的基础上,完成Flex框架下的客户端设计,采用Web Service数据通信技术来完成综合统计信息服务系统的设计与实现。     

地面三维激光扫描仪测量误差检定

在利用三维激光扫描仪进行测量工作前,我们首先应了解其实际测量精度是否符合标称精度,而可靠的评价方式对得到精确的数据结果至关重要。本文利用北京卓立汉光TSA50-C型电动位移台作为评价标准,通过其精确的位移功能,准确地评价了RIGEL VZ-400三维激光扫描仪在测量单点位移时的误差,从而得到了其最佳工作距离。