HowLeaky is an open source water balance and water quality modelling environment. It has been developed to assess the impacts of different land uses, soil types, management practices, and climates on hydrology and water quality of landscape.
HowLeaky is a platform to enhance development, dataset management, and online simulations. This platform provides with services for model development, validation, and applications. It has resources and links to access climate data, soil profiles, and experimental data sets with related vegetation, nutrient , and pesticide descriptions.
The HowLeaky model simulates the soil water balance (core model) and its effects on different agricultural and land use management practices (submodels) at a point-scale and on a daily time-step. The model uses daily climate data and a volumetric parameterisation of the soil layers to model the core components of soil water inflows, outflows and redistribution of water in the soil.
How it works
Runoff is calculated as a function of daily rainfall, soil water deficit, surface residue, crop cover and surface roughness. Soil water is updated on a daily basis by any rainfall exceeding the daily runoff volume. Infiltration is partitioned into the soil profile from the surface, filling subsequent layers to total porosity. When a soil profile layer is above its defined field capacity, soil water redistribution occurs but only if the layer immediately below can hold the water. Redistribution from the lowest profile layer is assumed lost to the system as deep drainage.
Water can be lost from the soil profile as transpiration and soil evaporation. Transpiration is represented as a function of pan evaporation, green cover (or leaf area) and soil moisture. It is removed from the profile according to the current depth and distribution of roots. Transpiration can only dry a profile layer to its defined wilting point. Soil evaporation is based on a two-stage evaporation algorithm. After infiltration has occurred, it is assumed that drying occurs at potential rate up to a user defined limit. After this limit is reached, the second and slower stage of soil evaporation commences. Evaporation will remove soil water from the two upper profile layers and drying continues below wilting point to the user specified air-dry limit. The sum of transpiration and soil evaporation can never exceed pan evaporation on any day.
Soil erosion is estimated on days of runoff using a modified version of the universal soil loss equation (USLE) that expresses soil erosion as a function of runoff volume, cover, soil erodibility, management practice and topography.
Vegetative growth can be modelled using either a “Dynamic Leaf Area index model (LAI, Ritchie, 1972)”, a “Crop-Cover model” or a “Crop-Factor model”. The LAI-crop model predicts crop phenology, leaf area and dry matter using functions of transpiration, transpiration efficiency, potential evaporation, intercepted radiation, radiation use efficiency, daily temperature and photoperiod. Growth is reduced due to water or temperature stress. Crop yield is related to total dry matter and plant water use around flowering.
A daily balance of crop residue weight on the surface is maintained. At harvest, above-ground crop dry matter is added to crop residue. Residue decays over time or is incorporated by tillage. Decay and residue incorporation by tillage is related to residue type and tillage implement. Percent cover is estimated from residue weight on a daily basis. Tillage applies only to the LAI model and affects both the weight of crop residue and surface roughness. Crop planting and tillage dates can either be input by the user or generated automatically subject to user defined planting or tillage criteria. For automatic planting, the user must define a range of criteria that defines crop type, planting rainfall, minimum soil water content and the possible range of planting dates for the crop. Planting will occur when all criteria are satisfied. The automatic tillage model will perform the selected tillage operation based on accumulated rainfall.
The Cover-model is much simpler than the LAI model and imports predefined profiles of green-cover, residue cover and root depth, while using the same method to estimate transpiration as the LAI model. Biomass and crop-yield are estimated using a water use efficiency factor and harvest index. The Crop-factor model is even simpler than the LAI and Cover models. It does not estimate yield and lumps evaporation and transpiration together into a single evapotranspiration output.
HowLeaky can simulate irrigation using a range of management options including a water limiting supply through a ring-tank component. This includes different scheduling options for irrigating within a “window”, while a crop is growing, or through predefining a sequence of dates and amounts. It allows the user to define different trigger options, refill points and minimum days between irrigations. Different options exist to estimate runoff and evaporation losses and to deal with ponding.
HowLeaky contains submodels for simulating pesticide and fertiliser (N and P) losses and solute leaching. These submodels are optional and are activated by defining their input parameters and connecting them to a simulation. They are called during the daily time-step using outputs from the daily water balance.
The pesticide submodel is used to track dissipation of pesticides in the soil, crop stubble and vegetation; and estimates pesticide concentrations in runoff partitioned between soluble and sediment bound phases.
The phosphorus submodel is used to calculate dissolved, particulate and total phosphorus before calculating bioavailable phosphorus. It includes empirical functions for estimating the enrichment of total P in sediment and concentration of soluble P in runoff. The model uses the widely available phosphorus buffering index test (PBI) to estimate soil adsorption of P (P buffering), which affects the soluble P concentration in runoff.
A Nitrate N submodel contains a subset of three separate models for calculating dissolved N in runoff, dissolved N in leaching and particulate N in runoff. These models do not employ a nitrate “volume-balance” and they do not “route” nitrate through the soil. Instead, they represent a simplified approach whereby (in most cases) a nitrate concentration profile in the soil is predetermined and used to respond to runoff and drainage events by estimating what nitrate would be removed during those events. Two additional variations to this methodology have been included for estimating dissolved N in runoff after fertiliser applications.
A generic solute submodel is used to estimate solute leaching and works by providing an initial solute concentration across the soil layers (defined using a range of options) as well as rainfall and irrigation water solute concentrations. A mixing coefficient is also provided to then route the solute through the soil profile when rainfall or irrigation is enough to cause drainage.