Mapping Outlets of Iowa Flood Center and National Water Center River Networks for Hydrologic Model Comparison

River networks based on Digital Elevation Model (DEM) data differ depending on the DEM resolution, accuracy, and algorithms used for network extraction. As spatial scale increases, the differences diminish. This study explores methods that identify the scale where networks obtained by different methods agree within some margin of error. The problem is relevant for comparing hydrologic models built around the two networks. An example is the need to compare streamflow prediction from the Hillslope Link Model (HLM) operated by the Iowa Flood Center (IFC) and the National Water Model (NWM) operated by the National Water Center of the National Oceanic and Atmospheric Administration. The HLM uses landscape decomposition into hillslopes and channel links while the NWM uses the NHDPlus dataset as its basic spatial support. While the HLM resolves the scale of the NHDPlus, the outlets of the latter do not necessarily correspond to the nodes of the HLM model. The authors evaluated two methods to map the outlets of NHDPlus to outlets on the IFC network. The methods compare the upstream areas of the channels and their spatial location. Both methods displayed similar performance and identified matches for about 80% of the outlets with a tolerance of 10% in errors in the upstream area. As the aggregation scale increases, the number of matches also increases. At the scale of 100 km², 90% of the outlets have matches with tolerance of 5%. The authors recommend this scale for comparing the HLM and NWM streamflow predictions.     

A Water Allocation Decision‐Support Model and Tool for Predictions in Ungauged Basins in Northeast British Columbia,Canada

Pressures on water resources due to changing climate, increasing demands, and enhanced recognition of environmental flow needs result in the need for hydrology information to support informed water allocation decisions. However, the absence of hydrometric measurements and limited access to hydrology information in many areas impairs water allocation decision‐making. This paper describes a water balance‐based modeling approach and an innovative web‐based decision‐support hydrology tool developed to address this need. Using high‐resolution climate, vegetation, and watershed data, a simple gridded water balance model, adjusted to account for locational variability, was developed and calibrated against gauged watersheds, to model mean annual runoff. Mean monthly runoff was modeled empirically, using multivariate regression. The modeled annual runoff results are within 20% of the observed mean annual discharge for 78% of the calibration watersheds, with a mean absolute error of 16%. Modeled monthly runoff corresponds well to observed monthly runoff, with a median Nash–Sutcliffe statistic of 0.92 and a median Spearman rank correlation statistic of 0.98. Monthly and annual flow estimates produced from the model are incorporated into a map‐ and watershed‐based decision‐support system referred to as the Northeast Water Tool, to provide critical information to decision makers and others on natural water supply, existing allocations, and the needs of the environment.     

Challenges and Opportunities for Creating Intelligent Hazard Alerts: The “FloodHippo” Prototype

Disasters evolving from hazards are a persistent and deadly occurrence in the United States. Despite this, hazard alerts have remained spatially vague, temporally imprecise, and lack actionable information. These deficiencies indicate a divide between the status quo and what is possible given modern environmental models, geographic information systems (GIS), and smartphone capabilities. This work describes an alternative, prototype system, “FloodHippo,” which integrates operational model outputs, cloud‐based GIS, and expanded communication channels to provide personal and interactive disaster alerts for floods. The precepts and methods underpinning FloodHippo apply equally to other disasters that evolve over space and time, presenting the opportunity for a more intelligent disaster response system. The development of such a system would not only minimize current shortcomings in disaster alerts but also improve resilience through individual action, along with community, academic, and federal cooperation.     

Water Nakba in Palestine: Sustainable Development Goal 6 versus Israeli hydro-hegemony

This Viewpoint article argues that Sustainable Development Goal 6, which aims to ensure the availability and sustainable management of water and sanitation for all, cannot be achieved for the Palestinian people under the current political situation of Israeli occupation. Through the practice of hydro-hegemony, Israel controls all water resources in Israel and the Occupied Palestinian Territory, thus denying water sovereignty to the Palestinians. This is demonstrated through three case studies: The Jordan Valley; the West Bank settlements; and Gaza. The politics of water in Israel and the Occupied Palestinian Territory is best understood as part of the dynamics of settler colonialism, in which ethnic cleansing is achieved through the dispossession of essential resources. The authors discuss what role the international scientific community can play in supporting Palestinian water sovereignty and therefore SDG 6.     

浅谈水库风景区建设在生态保护与修复中的利用——以孝感市为例

在市场经济的条件下,开展水库生态风景区建设,要充分利用库区旅游资源开发带来的经济效益,结合水库风景的特点,按供需平衡关系,改变资源利用形式,按边沿景现再造模式,多层次、可持续地开发与保护水库资源,促进水利风景区的健康发展.     

哈尔滨市水资源基本情况及开发利用现状

以水资源可持续利用支撑经济社会可持续发展为核心,坚持全面规划,统筹兼顾,综合治理原则,紧密结合哈尔滨市水资源具体特点,通过对水资源开发利用现状调查与评价,对经济社会发展过程中中远期各阶段进行需水预测,对水环境治理、城市供水、城市排水和污水处理等方面进行规划,提出哈尔滨市水资源可持续开发利用与保护的对策,强调了水资源的节...     

嫩江(齐齐哈尔段)水环境保护治理情况分析

通过对嫩江(齐齐哈尔段)水质的分析,阐述了保护治理嫩江水环境的对策,对嫩江水系的管理和合理开发利用嫩江水资源提供了参考依据.     

水带蜿蜒铺设时水头损失估算及火场供水研究

本文用管道内流体的水头损失规律,对水头损失产生的原因、计算公式及影响因素进行了分析,研究了水带蜿蜒铺设时火场供水的特点,并提出了弯曲铺设水带的水头损失估算值。     

大凌河(锦州段)水质污染状况及防治对策

简要介绍了大凌河水环境污染现状,分析了大凌河水质污染的主要原因,探讨了水污染防治与水环境综合管理的主要问题,提出控制污染的措施.     

陶庄矿区深井水位的发震信息

利用山东省枣庄市陶庄煤矿区鲁15井水位观测资料,采用多道Weiner滤波方法研究其中所隐含的孕震信息,结论是没有明显的矿震中期前兆异常,临震前兆异常明显,每次矿震前都有水位的短临变化。