TUWmodel(TUWmodel)
TUWmodel()所属R语言包：TUWmodel
Lumped hydrological model developed at the Vienna University of Technology for education purposes
在维也纳技术大学开发的用于教育目的的集总水文模型
译者：生物统计家园网 机器人LoveR
描述----------Description----------
TUWmodel is a lumped conceptual rainfall-runoff model, following the structure of the HBV model. The model runs on a daily time step and consists of a snow routine, a soil moisture routine and a flow routing routine. See Parajka, J., R. Merz, G. Bloeschl (2007) Uncertainty and multiple objective calibration in regional water balance modelling: case study in 320 Austrian catchments, Hydrological Processes, 21, 435-446.
TUWmodel是一个集中的概念降雨 - 径流模型，HBV模型的结构。该模型上运行，每天的时间步长，由一雪常规，土壤水分程序和流量路由程序。 Parajka，梅尔茨，J.，R. G. Bloeschl的不确定性和多目标区域水量平衡模型的校准：案例研究320奥地利流域水文过程，21，435-446（2007）。
用法----------Usage----------
TUWmodel (prec, airt, ep, area, param=c(1.2,1.2,2,-2,0,0.9,100,3.3,0.5,9,105,50,2,10,26.5), incon=c(50,0,2.5,2.5), itsteps=NULL)
参数----------Arguments----------
参数：prec
vector/matrix of precipitation input (mm/day) (ncol = number of zones)
向量/矩阵的的降水输入（毫米/天）（ncol=区域数）
参数：airt
vector/matrix of air temperatures (degC)
向量/矩阵的空气温度（摄氏度）
参数：ep
vector/matrix of potential evapotranspiration (mm/day)
潜在蒸散量的向量/矩阵（月/日）
参数：area
catchment area (km2) (vector if more zones)
流域面积（平方公里）（向量，如果更多的区域）
参数：param
vector of parameters: <ol> SCF snow correction factor (0.9-1.5);
的参数向量进行：<ol>SCF雪校正系数（0.9-1.5）;
DDF degree day factor (0.0-5.0 mm/degC/day);
DDF度日因子（0.0-5.0毫米/℃/天）;
Tr threshold temperature above which precipitation is rain (1.0-3.0 degC);
Tr阈值温度以上的降水是雨（1.0-3.0摄氏度）;
Ts threshold temperature below which precipitation is snow (-3.0-1.0 degC);
Ts阈值温度低于降水是雪（-3.0-1.0摄氏度）;
Tm threshold temperature above which melt starts (-2.0-2.0 degC);
Tm阈值温度以上，熔融开始（-2.0-2.0摄氏度）;
LPrat parameter related to the limit for potential evaporation (0.0-1.0);
LPrat参数有关的潜在蒸发（0.0-1.0）的限制;
FC field capacity, i.e., max soil moisture storage (0-600 mm);
FC领域的能力，即最大土壤水分存储（0-600毫米）;
BETA the non linear parameter for runoff production (0.0-20.0);
BETA非线形参数径流生产（0.0-20.0）;
k0 storage coefficient for very fast response (0.0-2.0 days);
k0存储非常快的响应系数（0.0-2.0天）;
k1 storage coefficient for fast response (2.0-30.0 days);
k1存储系数，响应速度快（2.0-30.0天）;
k2 storage coefficient for slow response (30.0-250.0 days);
k2响应速度慢的存储系数（30.0-250.0日）;
lsuz threshold storage state, i.e., the very fast response start if exceeded (1.0-100.0 mm);
lsuz阈值的存储状态，即非常快速的响应开始，如果超过（1.0-100.0毫米）;
cperc constant percolation rate (0.0-8.0 mm/day);
cperc恒定的渗透率（0.0-8.0毫米/天）;
bmax maximum base at low flows (0.0-30.0 day);
bmax的最大碱基在低流量（0.0-30.0日）;
croute free scaling parameter (0.0-50.0 day2/mm); </ol> see Parajka, J., R. Merz, G. Bloeschl (2007) Uncertainty and multiple objective calibration in regional water balance modelling: case study in 320 Austrian catchments, Hydrological Processes, 21, 435-446, doi:10.1002/hyp.6253.
croute的自由缩放参数（0.0~50.0 day2/mm）; </ OL> Parajka，J.，R.梅尔茨，：G. Bloeschl（2007）在区域水量平衡模型的不确定性和多目标优化校准：情况研究在320奥流域水文过程，21，435-446，DOI：10.1002/hyp.6253。
参数：incon
initial conditions for the model: SSM0 soil moisture (mm); SWE0 snow water equivalent (mm); SUZ0 initial value for fast (upper zone) response storage (mm); SLZ0 initial value for slow (lower zone) response storage (mm)
为模型的初始条件：SSM0土壤水分（毫米）; SWE0雪水当量（毫米）; SUZ0初始值快速（上区）的响应存储（毫米）;SLZ0缓慢的初始值（低区）响应存储（毫米）
参数：itsteps
length of the output (if NULL all the time series are used)
长度的输出（如果NULL所有的时间系列使用）
Details
详细信息----------Details----------
No details for now.
现在的任何细节。
值----------Value----------
TUWmodel gives a vector of simulated runoff as q (m3/s), and the following vector/matrices:
TUWmodel给出了向量的模拟径流q（立方米/秒），和下面的矢量/矩阵：
qzones simulated runoff for each zone (m3/s);
qzones每个区（立方米/秒）的模拟结果;
swe snow water equivalent (mm);
swe雪水当量（毫米）;
q0 surface runoff (m3/s);
q0地表径流量（立方米/秒）;
q1 subsurface runoff (m3/s);
q1地下径流量（立方米/秒）;
q2 baseflow (m3/s);
q2，基流量（立方米/秒）;
rmoist relative soil moisture (between 0 and 1);
rmoist土壤相对湿度（在0和1之间）;
rain liquid precipitation (mm/day)
rain液态降水（月/日）
snow solid precipitation (mm/day)
snow固体降水（毫米/天）
eta actual evapotranspiration (mm/day)
eta实际蒸散量（毫米/天）
实例----------Examples----------
## ------------------------------------------------------------------------------------------------------ ##[＃ ＃＃]
## Load the data[＃加载数据]
data(example_TUWmodel)
## Simulate runoff and plot observed vs simulated series[＃模拟径流和图观察与模拟系列]
## Lumped case (weighted means of the inputs)[＃集总的情况（加权平均值的输入）]
simLump <- TUWmodel(prec=apply(P_Vils, 1, weighted.mean, w=areas_Vils),
airt=apply(T_Vils, 1, weighted.mean, w=areas_Vils),
ep=apply(PET_Vils, 1, weighted.mean, w=areas_Vils),
area=sum(areas_Vils),
param=c(1.02,1.70,2,0,-0.336,0.934,121,2.52,0.473,9.06,142,50.1,2.38,10,25))
plot(as.Date(names(Q_Vils)), Q_Vils, type="l", xlab="", ylab="Discharges [mm/day]")
lines(as.Date(rownames(T_Vils)), simLump$q, col=2)
legend("topleft", legend=c("Observations","Simulations"), col=c(1,2), lty=1, bty="n")
plot(as.Date(rownames(SWE_Vils)), apply(SWE_Vils, 1, weighted.mean, w=areas_Vils),
type="l", xlab="", ylab="Snow Water Equivalent [mm]")
lines(as.Date(rownames(T_Vils)), simLump$swe, col=2)
## Distribute case (6 zones)[＃分配情况（6区）]
simDist <- TUWmodel(prec=P_Vils, airt=T_Vils, ep=PET_Vils, area=areas_Vils,
param=c(1.02,1.70,2,0,-0.336,0.934,121,2.52,0.473,9.06,142,50.1,2.38,10,25))
plot(as.Date(names(Q_Vils)), Q_Vils, type="l", xlab="", ylab="Discharges [mm/day]")
lines(as.Date(rownames(T_Vils)), simDist$q, col=2)
legend("topleft", legend=c("Observations","Simulations"), col=c(1,2), lty=1, bty="n")
plot(as.Date(rownames(SWE_Vils)), apply(SWE_Vils, 1, weighted.mean, w=areas_Vils),
type="l", xlab="", ylab="Snow Water Equivalent [mm]")
lines(as.Date(rownames(T_Vils)), apply(simDist$swe, 1, weighted.mean, w=areas_Vils), col=2)
转载请注明:出自 生物统计家园网(http://www.biostatistic.net)。
注：
注1：为了方便大家学习，本文档为生物统计家园网机器人LoveR翻译而成，仅供个人R语言学习参考使用，生物统计家园保留版权。
注2：由于是机器人自动翻译，难免有不准确之处，使用时仔细对照中、英文内容进行反复理解，可以帮助R语言的学习。
注3：如遇到不准确之处，请在本贴的后面进行回帖，我们会逐渐进行修订。
|
发表于 2012-10-1 13:06:25
