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21.
Many landforms on Earth are profoundly influenced by biota. In particular, biota play a significant role in creating karst biogeomorphology, through biogenic CO2 accelerating calcite weathering. In this study, we explore the ecohydrologic feedback mechanisms that have created isolated depressional wetlands on exposed limestone bedrock in South Florida – Big Cypress National Preserve –as a case study for karst biogeomorphic processes giving rise to regularly patterned landscapes. Specifically, we are interested in: (1) whether cypress depressions on the landscape have reached (or will reach) equilibrium size; (2) if so, what feedback mechanisms stabilize the size of depressions; and (3) what distal interactions among depressions give rise to the even distribution of depressions in the landscape. We hypothesize three feedback mechanisms controlling the evolution of depressions and build a numerical model to evaluate the relative importance of each mechanism. We show that a soil cover feedback (i.e. a smaller fraction of CO2 reaches the bedrock surface for weathering as soil cover thickens) is the major feedback stabilizing depressions, followed by a biomass feedback (i.e. inhibited biomass growth with deepening standing water and extended inundation period as depressions expand in volume). Strong local positive feedback between the volume of depressions and rate of volume expansion and distal negative feedback between depressions competing for water likely lead to the regular patterning at the landscape scale. The individual depressions, however, are not yet in steady state but would be in ~0.2–0.4 million years. This represents the first study to demonstrate the decoupling of landscape-scale self-organization and the self-organization of its constituent agents. © 2018 John Wiley & Sons, Ltd. 相似文献
22.
基于GIS与地理探测器的岩溶槽谷石漠化空间分布及驱动因素分析 总被引:9,自引:0,他引:9
岩溶区土地石漠化已成为中国西部继沙漠化和水土流失后的第三大生态问题,近年来岩溶槽谷区石漠化表现出增加趋势。通过获取槽谷区石漠化、岩性、坡度、海拔、降雨量、土地利用、人口密度和第一产业生产总值等数据,利用GIS空间分析功能和地理探测器模型,探讨了岩溶槽谷区石漠化空间分布特征及驱动因子。主要结论为:① 岩溶槽谷区总石漠化面积为21323.7 km 2,占研究区土地面积的8.3%,其中轻度、中度和重度石漠化面积分别是11894.8 km 2、8615.8 km 2和813.1 km 2,分别占石漠化面积的55.8%、40.4%和3.8%;② 从石漠化的空间分布来看,槽谷区石漠化主要发生在连续性灰岩中,轻度、中度和重度石漠化面积分别为占槽谷区相应石漠化类型面积的22.1%、22.4%和1.9%;槽谷区石漠化主要发生在15°~25°的坡度范围,轻度、中度和重度石漠化面积分别为占槽谷区相应石漠化类型面积的27.1%、18.2%和2.3%;从海拔来看,主要分布于400~800 m范围内,轻度、中度和重度石漠化面积分别为占槽谷区相应石漠化类型面积的24.9%、18.4%和0.2%;从土地利用类型来看,主要发生于山地旱地中;从人口密度来看,集中分布于100~200人/km 2中;从第一产业生产总值来看,集中分布于25亿~50亿元中;③ 地理探测器的因子探测器揭示了岩性(q = 0.58)、土地利用(q = 0.48)和坡度(q = 0.42)3个因子是槽谷区石漠化形成的主要驱动因子,交互式探测器进一步揭示了岩性与土地利用类型(q = 0.85)、坡度与土地利用类型的组合(q = 0.75)共同驱动槽谷区石漠化的形成。 相似文献
23.
Journal of Geographical Sciences - Runoff generation is an important part of water retention service, and also plays an important role on soil and water retention. Under the background of the... 相似文献
24.
主要分析了构造抬升对水系和地形的影响和恢复,以从古生代灰岩围岩中大面积但零星出露的岩溶砾岩点为研究对象,对区域古水系和地形地貌恢复和反演做出了新的尝试。在收集资料和实测的基础上,尝试性探讨了利用稳定水体参照物高程反演抬升高度以及邻区山峰点的古高程、古水系,恢复区域上古地形地貌的技术方法。并以白彦地区为例,通过白彦岩溶砾岩的分布、产状、金刚石矿物含量、岩性等地质特征,恢复白彦地区古地形线、古水系位置和流向等古地理地貌,指出在白彦期时代,该区总体发育4个水系,邹城市大石墙水系、枣庄水系、平邑水系、费县水系,水系中金刚石含量较为丰富的砾岩点大多分布在凤凰山隆起中心,其中在平邑水系推测存在一个山地峡谷中的古湖泊。认为蒙山凸起中已知的常马庄地区的金伯利岩脉所含有金刚石可能主要供应平邑区水系,其他3个地区水系的金刚石可能来源于凤凰山及其东部隆起剥蚀地区。 相似文献
25.
通过水体置换降低水库富营养化风险:长江口青草沙水库案例研究 总被引:1,自引:0,他引:1
城市淡水系统的富营养化风险是世界范围内普遍关注的问题。多种物理、生物和化学技术手段被应用到富营养化湖库的治理当中,以期抑制水体的富营养化程度和藻类生物量。经证实,在未有效降低营养盐来源的情况下,这些手段的效果有限。而在发展中国家,控制营养盐来源可能需要花费数十年的时间。本研究旨在分析某一高营养盐负荷的沿海水库的富营养化和藻类水华风险,以期确认通过水利调度来抑制水库富营养化状态的可行性。该案例水库为位于长江口的青草沙水库。该水库2009至2012年期间的库内五个点位的水质数据被用于进行案例分析。水质指标包括水温、透明度、溶解氧、总氮、总磷和浮游植物叶绿素a。该水库的建设期为2009年4月至2010年10月,期间水库未曾与长江口发生水体交换。该水库的试运营期为2010年10月至2011年1月,正式运营期为2011年1月至今。在运营期间,库内与长江口的水体交换逐步上升。综合营养状态指数(TLI)被用于评估该水库的营养状态变化情况,该指数是通过数个代表性水质指标计算得到。库区的TLI指数峰值在2009年夏季可达51,在2011年夏季可达55,超过TLI指数的富营养化阈值50。TLI的谷值32出现在2010年的夏季。水质观测期的其他时段的TLI指数均可保持在50以下。以上分析结果表明:水库在2009年和2011年夏季由于过量的营养盐负荷和藻类水华迅速恶化到富营养化状态。水库在2010年和2012年均未出现富营养化状态和藻类水华,这是由于2010年期间水库缺少营养盐输入,2012年期间水库调度充分地置换了库区水体。库区水质指标的时空变化均通过文中的观测资料和数据分析进行展示。经分析表明,通过潮汐涨落来充分置换库区水体的水库调度手段是一个极为经济有效的抑制高营养盐水体富营养化和藻类水华的工程手段。 相似文献
26.
27.
正20141074Bao Xijie(Research Institute of Exploration and Development,Daqing Oilfield Company,PetroChina,Daqing 163712,China)Gather Optimal Processing and Application Effect of Prestack AVA Instantaneous Inversion 相似文献
28.
正20141967An Zhanghui(Lanzhou Base of Institute of Earthquake Prediction,CEA,Lanzhou 730000,China);Du Xuebin Study onthe Geo-Electric Field Variation of Sichuan Lushan MS7.0and Wenchuan MS8.0Earthquake(Chinese Journal of Geophysics,ISSN0001-5733,CN11-2074/P,56(11), 相似文献
29.
An inter‐basin backwater overflow (the Buhai Brook and the Ezer reservoir on the Jijia River,Romania) 下载免费PDF全文
During the last few years, the north‐western part of Romania has been affected by catastrophic floods with most of the watercourses reaching their highest recorded discharges. This study reports the generation of a numerical terrain model and the simulation of a backwater phenomenon at elevation steps according to the volume of water accumulated at the confluence of the Buhai Brook with the Jijia River. The hydrological data are complemented by rainfall data and the careful recording of the flood behaviour during the entire period of its development. The main aim of the study is to identify the causes of the backwater phenomenon and to highlight the material damage inflicted on the town of Dorohoi. At the same time, the study uses cartographic model that was developed to establish which areas are at risk of flooding at various levels of probability. The catastrophic flood began on the Buhai Brook, a slow‐flowing stream that drains the areas to the west of the town of Dorohoi and discharged into the upstream sector of the Jijia confluence. The flood caused two types of backwater waves: one behind the bridges and the houses built on the floodplain and a second that followed the course of the main stem (Jijia) upstream from the confluence, flooding the Ezer Lake, which was created specifically to attenuate such floods. The spillway backwater phenomenon was inter‐basin as it did not occur in a single hydrographic basin. The causes of the catastrophic flash flood and of the inter‐basin backwater overflow are natural but also reflect anthropogenic influence. After the lake filled, the discharge into the Jijia was controlled and the flooding downstream was thus greatly diminished. Though fortuitous, the backwater flooding was important in mitigating the impact of the flood wave from the Jijia River. Copyright © 2013 John Wiley & Sons, Ltd. 相似文献
30.
A nonstationary extreme value distribution for analysing the cessation of karst spring discharge 下载免费PDF全文
Yan Liu Yonghong Hao Yonghui Fan Tongke Wang Xueli Huo Youcun Liu Tian‐Chyi J. Yeh 《水文研究》2014,28(20):5251-5258
The effects of climate change and population growth in recent decades are leading us to consider their combined and potentially extreme consequences, particularly regarding hydrological processes, which can be modeled using a generalized extreme value (GEV) distribution. Most of the GEV models were based on a stationary assumption for hydrological processes, in contrast to the nonstationary reality due to climate change and human activities. In this paper, we present the nonstationary generalized extreme value (NSGEV) distribution and use it to investigate the risk of Niangziguan Springs discharge decreasing to zero. Rather than assuming the location, scale, and shape parameters to be constant as one might do for a stationary GEV distribution analysis, the NSGEV approach can reflect the dynamic processes by defining the GEV parameters as functions of time. Because most of the GEV model is designed to evaluate maxima (e.g. flooding, represented by positive numbers), and spring discharge cessation is a ?minima’, we deduced an NSGEV model for minima by applying opposite numbers, i.e. negative instead of positive numbers. The results of the model application to Niangziguan Springs showed that the probability of zero discharge at Niangziguan Springs will be 1/80 in 2025, and 1/10 in 2030. After 2025, the rate of decrease in spring discharge will accelerate, and the probability that Niangziguan Springs will cease flowing will dramatically increase. The NSGEV model is a robust method for analysing karst spring discharge. Copyright © 2013 John Wiley & Sons, Ltd. 相似文献