中华鳖出血性肠炎的药物防治研究

对由实验定筛选的中华鳖出血肠炎病病原菌的最佳防治药物为本正交试验的第6组,即A2B3C1,其抑菌圈达21.5mm.临床应用中采用中西结合复方制剂,即用第6组试验药物再加上中药白头翁汤(加减),其疗效更佳.     

用Corioli力讨论台湾南投7．6级大震的余震强度

台湾南投大震是震源地方一个逆掩断层错动引起的,上盘向西错动,这种断层错动的形式其Corioli力效应是使两断层盘相互挤压,因之主震发生时能量释放不彻底,余震强度较大,本文试图用Ｃorioli力效应具体讨论台湾南投大震的余震强度。     

1976-2005年唐山地区降水变化规律及干旱预测

利用唐山市1976-2005年各县年降水序列,分析了该市降水的空间分布规律和时间变化特点。采用灰色系统的灾变预测方法,对各县分别建立了GM（1,1）模型,进行未来25年唐山市各站的干旱年预测。利用残差检验、后验差检验和关联度检验对各模型分别进行了精度检验。结果表明,预测模型精度较高,可以对唐山市各县未来的干旱年进行预测,从而为科学决策提供依据。     

一种移动通信基站发射天线非轴向功率密度预测模式

以移动通信基站轴向功率密度计算公式为基础,根据非轴向方向上实际监测点位和轴向方向的相对位置,对轴向功率密度计算公式参数进行系列修正,从而建立一种简单适用的移动通信基站非轴向方向上功率密度预测模式.     

地表水COD浓度灰色预测的GPPM（1）模型

根据地表水中ＣＯＤ浓度的时序数据,建立了ＧＰＰＭ（１）预测模型,结果表明ＧＰＰＭ（１）模型的预测精度优于常规灰色ＧＭ（１,１）模型,它为环境系统的拟合,预测和决策提供了新的方法途径。     

基于3种时间序列模型的九龙江河流库区藻华预测

湖库富营养化和有害藻华是全球性生态环境问题,藻华预测与早期预警是保障湖库水源地供水安全的关键技术.如何基于高频水生态在线监测数据进行藻华的实时动态预测成为水生态管理领域的重大需求.本研究以福建省九龙江江东库区(水源地)为例,利用3年连续观测的逐时平均总叶绿素a浓度数据,对比研究了SARIMA、Prophet和LSTM(长短期记忆神经网络)3种时间序列模型在藻华(日平均叶绿素a大于15μg·L^-1)预测方面的效果.结果表明：(1)时间序列模型要求参数少,灵活性强,能清晰反映水质特征和未来变化趋势,可弥补传统藻类监测预警方法的局限性;(2)基于深度学习框架的LSTM模型,具有独特的迭代优化算法,对藻类非线性变化特征的识别和预测能力较强,其总叶绿素a逐日预测和7日预测效果均显著优于SARIMA模型和Prophet模型;(3)输入数据长度会在一定程度上影响模型预测效果,最优的输入数据时间长度为7 d;输入数据频率对预测效果也有影响,在预测非藻华日时,小时数据的预测效果优于日频率数据;在预测藻华日时,两种频率数据无显著差异,但日频率数据能更准确识别藻华日特征.总结起来,基于...     

市级国土空间规划核心指标纵向传导研究——以湖南省常德市为例

核心指标纵向层级传导作为市级国土空间规划的关键内容,对市域国土空间格局优化及规划统筹具有重要意义。针对当前指标传导研究不充分、不精细等问题,遵循“核心传导指标选择→指标传导技术逻辑构建→情景模拟预测”的研究思路,以常德市为例研究其2035年国土空间规划“市→县（区）”的核心指标传导。结果表明：（1）基于“指标全域总量预测—指标空间布局模拟—指标分区分类传导”的传导技术逻辑,通过SD与GeoSOS-FLUS模型的耦合集成利用,可有效实现市级国土空间规划核心指标“自上而下”与“自下而上”相结合的科学传导。（2）构建“人—地—业”协调的常德市国土空间利用SD模型,预测获得2035年市域核心指标总量,相应国土利用综合效益达12994.25亿元,相比2018年提升207.75%。（3）从指标传导结果来看,2035年常德市各县（市、区）社会经济类指标除常住人口规模指标外均保持增长趋势,边界类指标实现“只增不减”,用地类指标变化各异,但总体契合常德市主体功能区建设方向,核心指标传导结果符合实际。     

Evaluating Perceived Benefits of Ecoregional Assessments

Abstract: The outcomes of systematic conservation planning (process of assessing, implementing, and managing conservation areas) are rarely reported or measured formally. A lack of consistent or rigorous evaluation in conservation planning has fueled debate about the extent to which conservation assessment (identification, design, and prioritization of potential conservation areas) ultimately influences actions on the ground. We interviewed staff members of a nongovernmental organization, who were involved in 5 ecoregional assessments across North and South America and the Asia‐Pacific region. We conducted 17 semistructured interviews with open and closed questions about the perceived purpose, outputs, and outcomes of the ecoregional assessments in which respondents were involved. Using qualitative data collected from those interviews, we investigated the types and frequency of benefits perceived to have emerged from the ecoregional assessments and explored factors that might facilitate or constrain the flow of benefits. Some benefits reflected the intended purpose of ecoregional assessments. Other benefits included improvements in social interactions, attitudes, and institutional knowledge. Our results suggest the latter types of benefits enable ultimate benefits of assessments, such as guiding investments by institutional partners. Our results also showed a clear divergence between the respondents’ expectations and perceived outcomes of implementation of conservation actions arising from ecoregional assessments. Our findings suggest the need for both a broader perspective on the contribution of assessments to planning goals and further evaluation of conservation assessments.     

Using the land transformation model to forecast vacant land

Growing or shrinking cities can experience increases in vacant land. As urban populations and boundaries fluctuate, holes can open in once tight urban areas. Many cities chase growth-oriented approaches to dealing with vacancies. It is critical to understand land-use alteration to accurately predict transformations of physical change in order to make better informed decisions about this phenomenon. This research utilizes the land transformation model (LTM), an artificial neural networking mechanism in Geographic Information Systems, to forecast vacant land. Variable influence on vacant land prediction and accuracy of the LTM is assessed by comparing input factors and patterns, using time-series data from 1990 to 2010 in Fort Worth, Texas, USA. Results indicate that the LTM can be useful in simulating vacant land-use changes but more precise mechanisms are necessary to increase accuracy. This will allow for more proactive decisions to better regulate the process of urban decline and regeneration.     

Use of an Action‐Selection Framework for Human‐Carnivore Conflict in the Bangladesh Sundarbans

Abstract: Human–carnivore conflict is manifested in the death of humans, livestock, and carnivores. The resulting negative local attitudes and retribution killings imperil the future of many endangered carnivores. We tailored existing management tools to create a framework to facilitate the selection of actions to alleviate human–carnivore conflict and applied the framework to the human–tiger conflict in the Bangladesh Sundarbans. We identified potential actions that consider previous management efforts, local knowledge, cost‐effectiveness, fieldwork experience of authors and project staff, previous research on tiger ecology by the authors, and recommendations from human–carnivore conflict studies in other countries. Our framework includes creation of a profile to improve understanding of the nature of the conflict and its underlying causality. Identified actions include deterrents, education, direct tiger management, and response teams. We ranked actions by their potential to reduce conflict and the monetary cost of their implementation. We ranked tiger‐response teams and monitoring problem tigers as the two best actions because both had relatively high impact and cost‐effectiveness. We believe this framework could be used under a wide range of human–wildlife conflict situations because it provides a structured approach to selection of mitigating actions.