Modeling Earth Systems and Environment

https://link.springer.com/journal/40808

List of Papers (Total 268)

Estimation of soil hydraulic parameters for different land-uses

Water retention capacity and saturated hydraulic conductivity are important soil hydraulic properties that affect soil productivity and the environment. The knowledge of soil water properties and land-use effects on these properties are important for efficient soil and water management. The aim of this work was to evaluate the effect of cultivation of rangelands on soil water...

New modelling strategy based on radial basis function neural network (RBFNN) for predicting dissolved oxygen concentration using the components of the Gregorian calendar as inputs: case study of Clackamas River, Oregon, USA

The purpose of the present study is to investigate the possibilities of applying radial basis function neural network (RBFNN) as a new modelling approach for predicting dissolved oxygen concentration (DO) without water quality variables a input, and based on the components of the Gregorian calendar: (1) the year in the usual Gregorian calendar (YY), (2) the month of the year (MM...

Analyses of land use and land cover change dynamics using GIS and remote sensing during 1984 and 2015 in the Beressa Watershed Northern Central Highland of Ethiopia

Analysing the trend of land use/land cover change and its cause and consequence on human livelihoods as well as on the environment is a matter of concern for sustainable development and management of natural resource. Retrospective analysis of land use/land cover dynamics and its driving force has been undertaken using satellite images of Landsat5 TM 1984, Landsat5 TM 1999, and...

The best mathematical models describing particle size distribution of soils

Since particle size distribution (PSD) is a fundamental soil physical property, so determination of its accurate and continuous curve is important. Many models have been introduced to describe PSD curve, but their fitting capability in different textural groups have been rarely investigated. The aim of this study was to evaluate the fitting ability of 15 models on 2653 soil...

The effects of cropping systems on soil erosion risks and crop productivity using ImpelERO model and GIS in northeast of Iran

Soil erosion is a severe problem worldwide, and controlling it will be a major challenge in the future. Neural networks, as an artificial intelligence technology, have grown rapidly over the past few years and have an ability to deal with nonlinear multivariate systems. An integrated Model to Predict European Land use named ImpelERO is a decision trees/neural network hybrid model...

Application of nanochitosan and chitosan particles for adsorption of Zn(II) ions pollutant from aqueous solution to protect environment

Existence of heavy metals like zinc within water source is considered as one of the most important environmental problems. Accumulating within alive tissues, zinc raises various diseases and disorders. Chitosan is a hydrophilic polymer which is raised from acetyl groups of chitin from alkaline solution: it is employed widely as a well- known adsorbent for removing heavy metal...

The impacts of fishing and nutrient influx from Yangtze River on the ecosystem in East China Sea

As the main nutrient inputs of East China Sea (ECS), nutrient concentrations of the Yangtze River increase significantly due to high-speed economy development, which play a very important impact on the East China Sea ecosystem. In this study, by integrating MEC and EwE model, we analyzed the impact of Yangtze nutrient fluxes change and fishery on the ecosystem of ECS from 1960 to...

Land suitability assessment for optimum management of water consumption in precise agriculture

Optimum irrigation management is an important factor in precise agriculture. The main objective of this research is to compare different irrigation methods based upon a parametric evaluation system in an area of 41,200 ha in the Rasht region, north Iran. Once the soil properties were analyzed and evaluated, suitability maps were generated for surface, sprinkler and drip...

Temperature dependent growth rate of phytoplankton and salinity induced grazing rate of zooplankton as determinants of realistic multi-delayed food chain model

Impact of temperature dependent growth rate of phytoplankton, salinity induced grazing rate of zooplankton and gestation delay of phytoplankton and zooplankton differently are considered in the present study. Reproduction of predator after consuming prey is not instantaneous, but mediated by some time lag required for gestation. Here first gestation delay is considered in the...

Effects of additional food in a susceptible-exposed-infected prey–predator model

In this paper, we propose a susceptible-exposed-infected prey–predator model supplying additional food to predator. We discuss the existence and the local stability conditions of both the disease free and endemic equilibrium points. Basic reproduction number is determined. The impact of additional food on infected prey population is discussed. Numerical simulation results...

Runoff modeling of Sebou watershed (Morocco) using SCS curve number method and geographic information system

The Sebou watershed is considered as one of the most important drainage basins in Morocco. This basin had been exposed to frequent flood hazards which were responsible for many damages in several areas of the basin. In the present study, the curve number method was implemented to assess the runoff based on hydrologic modeling method. The use of geographical information system...

GIS-based estimation of soil erosion rates and identification of critical areas in Anambra sub-basin, Nigeria

Estimation of soil loss through water erosion is an essential exercise which can help decision makers and planners determine the severity of soil loss through rill and sheet erosion and also curtail the development of further gullies in an area already ravaged by gully erosion. While Universal Soil Loss Equation (USLE) is the most commonly adopted model because it provides a...

Determination of a suitable model for prediction of soil cation exchange capacity

Analysis and design of land-use management scenarios requires detailed soil data. The cation exchange capacity (CEC) of soil is a basic chemical property, as it has been approved that the spatial distribution of CEC is important for decisions concerning pollution prevention, crop and farming management. Since laboratory procedures for measuring CEC are cumbersome and time...

Modeling of available soil phosphorus (ASP) using multi-objective group method of data handling

The accurate estimation of available soil phosphorus (ASP) is required for the effective management of environmental resources and improving agricultural productivity. Direct measurement of ASP at large scales is time-consuming and expensive. Therefore, many empirical models or pedotransfer functions (PTFs) have been developed to obtain ASP. This study introduces a new model that...

Urban sprawl assessment and modeling using landsat images and GIS

Nowadays, urban sprawl phenomenon have been seen in many of cities in the developing and developed countries. Urban sprawl is considered as a particular kind of urban growth which comes up with a lot of negative effects. Thus, monitoring, analyzing and modeling of this phenomenon seem to be unavoidable. This paper assess urban sprawl in Tehran Metropolis as the capital of Iran...

Predicting recovery from acid rain using the micro-spatial heterogeneity of soil columns downhill the infiltration zone of beech stemflow: introduction of a hypothesis

Release of stored sulfur may delay the recovery of soil pH from Acid Rain. It is hypothesized that analyzing the micro-spatial heterogeneity of soil columns downhill of a beech stem enables predictions of soil recovery as a function of historic acid loads and time. We demonstrated in a very simplified approach, how these two different factors may be untangled from each other...

Aquifer vulnerability assessment in the Bengal alluvial tract, India, using GIS based DRASTIC model

In the present study, an attempt has been made to evaluate the aquifer vulnerability in the central part of Bengal alluvial tract, covering 5324 km2 area by using DRASTIC model. Seven critical hydrogeological factors were taken into consideration. Initially, vulnerability index of individual factors were calculated on the basis of predefined weights and ratings. These indices...

Evaluation of temperature-based Penman–Monteith (TPM) model under the humid environment

In this study, an attempt is made to check the suitability of TPM approach and present software to estimate reference evapotranspiration based on TPM and Hargreaves–Samani (HS) method by using Visual Basic Environment. Considering the FAO-56 Penman–Monteith (FAOPM) as the standard model, the comparative performances of selected methods were evaluated under the climatic condition...

Land use scenarios and projections simulation using an integrated GIS cellular automata algorithms

Over the years, urban growth models have proven to be effective in describing and estimating urban development and have consequently proven to be valuable for informed urban planning decision. Therefore, this paper investigates the implementation of an urban growth Cellular automata (CA) model using a GIS platform as a support tool for city planners, economists, urban ecologists...

Predictive modeling of discharge of flow in compound open channel using radial basis neural network

Predicting the flow discharge in open channel is the main parameters in the flood management. The concept of the compound open channel is the accurate approach for modeling the natural streams. Several ways as analytical approaches and artificial intelligence methods have been proposed for predicting the discharge in rivers in term of compound open channel concepts. In this paper...

Estimation of potential soil erosion rate using RUSLE and E30 model

This research established an empirical methodology to estimate potential soil erosion rate based on revised universal soil loss equation (RUSLE) and E30 model. The study was conducted on a highly precipitated, rugged, tropical forested with steep slope watershed during 1992 to 2009. The fourth (4th) largest river of Papua New Guinea, and its catchment area was considered for this...

The effect of an external toxicant on a biological species in case of deformity: a model

In this paper, a mathematical model is proposed and analyzed to study the effect of an external toxicant on a biological species. Here, we have considered that the toxicant is constantly emitted in the environment form some external source and after-effect of this external toxicant some members of biological species shows deformity as incapable in reproduction. The analytical...

Geospatial modeling of the impact of sea level rise on coastal communities: application of Richmond, British Columbia, Canada

Sea Level Rise (SLR) above the Mean Sea Level (MSL) may pose a substantial risk to coastal regions. This research investigates the possible impact of climate change and sea level rise in coastal areas. It locally analyzes the impact of sea level rise on Richmond, British Columbia, Canada. A model of Potentially Inundated Areas, based on a digital elevation model (DEM) was created...

Mapping of vulnerability of flooded area in arid region. Case study: area of Ghardaïa-Algeria

The issue of natural hazards in general and flooding in particular is a hot topic which marks memorable actions in the world and specifically in Algeria. Managing this risk is becoming more of a necessity that must include all stakeholders and all possible means available. The objective of this work is the vulnerability mapping of flood areas in the arid region Oued M’zab-region...

Linear gradient analysis of kinetic temperature through geostatistical approach

Urban sprawl is one of the main problems which conceives the concepts of the thermal gradient. The use of thermal remote sensing methods and availability of computer hardware had made possible to quantify the amount unprecedented increase to provide inputs to planners towards computation of urban growth. Thermal remote sensing technology along with geostatistics has shown its...