Modeling Earth Systems and Environment

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

List of Papers (Total 268)

Modelling the impacts of future climate change on plant communities in the Himalaya: a case study from Eastern Himalaya, India

That the Himalaya are warming at much higher rates than the global average is known. Here, we assess the future potential distribution of major plant communities in Sikkim Himalaya due to climate change using field observations and maximum entropy modelling approach. We collected data on presence and elevational distribution ranges of 584 endemic angiosperm species during field...

An operational dynamical neuro-forecasting model for hydrological disasters

In the last decades, artificial neural network has been increasingly applied in hydrological modeling given its potential to process the complex nonlinear relationships of the associated physical-environmental variables and produce a suitable solution (for instance, a forecasting model) in a relatively short time. In this scope, this work reports the design methodology and the...

Validation of BANCS model for assessing stream bank erosion hazard potential (SBEHP) in Bakreshwar River of Rarh region, Eastern India

It is often difficult to assess stream bank erosion. Bank Assessment for Non-point source Consequences of Sediment (BANCS) model is a renowned procedure for evaluating Stream Bank Erosion Hazard Potential (SBEHP). In the present article inventory of stream bank condition have been assessed from field surveys on 24 sample segment over a consecutive 5 year period for 86.36 km...

Spatial mapping of artesian zone at Iraqi southern desert using a GIS-based random forest machine learning model

Random forest (RF) machine learning technique and geographical information system (GIS) have been applied to delineate groundwater flowing well zones in the southern desert of Iraq. A spatial database consists of target variable, i.e., geographic locations of 93 flowing wells and predictor variables, i.e., the factors that control groundwater occurrence was prepared for this...

Multi-GCM ensembles performance for climate projection on a GIS platform

Climate impact studies especially in the field of hydrology often depend on climate change projections at fine spatial resolution. General circulation models (GCMs), which are the tools for estimating future climate scenarios, run on a very coarse scale, so the output from GCMs need to be downscaled to obtain a finer spatial resolution. This paper aims to present GIS platform as...

Spatial modelling of soil erosion susceptibility mapping in lower basin of Subarnarekha river (India) based on geospatial techniques

This paper applied GIS based Revised Universal Soil Loss Equation (RUSLE), remote sensing and ground based data to develop the soil erosion risk mapping in lower Subarnarekha Watershed in India. The soil erosion input parameters were assessed in different ways: the R factor map was developed from the daily rainfall data and spatial distribution using Ordinary Kriging (OK...

Land suitability analysis for agriculture in the Abbay basin using remote sensing, GIS and AHP techniques

To meet growing population demands for food and other agricultural commodities, agricultural land-use intensification and extensification seems to be increasing in the Abbay (Upper Blue Nile) basin in Ethiopia. However, the amount, location and degree of suitability of the basin for agriculture seem not well studied and/or documented. From global data sources, literature review...

Investigation of the implementation and effectiveness of electronic waste management in Nigeria

The BASEL Convention, adopted on March 22, 1989 and entered into force on May 5, 1992, was aimed at protecting countries from the dumping of hazardous wastes by controlling their trans-border transportation. Participation has grown over the years to 181 countries (as of April 2016). Transboundary wastes were first introduced into Nigeria following a negotiation worth $100 per...

Land suitability modeling by parametric-based neural networks and fuzzy methods for soybean production in a semi-arid region

Land evaluation is the process of predicting land use potential on the basis of its attributes. In the present study, the qualitative land suitability evaluation using parametric learning neural networks and fuzzy models was investigated for irrigated soybean production based on FAO land evaluation frameworks (FAO 1976, 1983, 1985) and the proposed methods by Sys et al. (1991c...

Estimation of organic facies using ensemble methods in comparison with conventional intelligent approaches: a case study of the South Pars Gas Field, Persian Gulf, Iran

Permian–Triassic deposited Dalan–Kangan carbonates in the South Pars Field are the host of the world’s largest gas field in which, the Silurian shales might have had triggered the majority of the accumulated gas. Although it is believed that Dalan–Kangan has contribution in gas expulsion. One of the most important factors manipulating the source potential evaluation is considered...

Spatial analysis of soil properties using GIS based geostatistics models

Accurate assessment of the spatial variability of soil properties is key component of the agriculture ecosystem and environment modeling. The main objective of the present study is to measure the soil properties and their spatial variability. A combination of conventional analytical methods and geostatistical methods were used to analyze the data for spatial variability. In...

Analyzing land surface temperature distribution in response to land use/land cover change using split window algorithm and spectral radiance model in Sundarban Biosphere Reserve, India

The paper utilized Landsat 5 TM and Landsat 8 OLI for analyzing land use/land cover change and its impact on land surface temperature in Sundarban Biosphere Reserve, India. Split window algorithm and spectral radiance model were used for determining land surface temperature from Landsat 8 OLI and Landsat 5 TM, respectively. The land use land cover change analysis revealed...

Carbon sequestration and its relation with some soil properties of East Kolkata Wetlands (a Ramsar Site): a spatio-temporal study using radial basis functions

Determination of different environmental factors and their spatio-temporal variations is sparingly important theme in ecological science because the productivity of an ecosystem is regulated by these factors. Here in East Kolkata Wetland (EKW) through a web of canal the composite tannery effluent is discharged and these are productively used in the piscicultural and agricultural...

Groundwater pumping versus surface-water take

Surface-water bodies and aquifers are normally connected and it is widely recognised they should be treated as one entity. Numerous studies were done to analyse the effect of groundwater pumping on nearby streams, however, little is known on the differences of effects between surface-water take and a pumping well of equal rate. The question, which often arises by water resources...

Comparative evaluation of artificial intelligence models for prediction of uniaxial compressive strength of travertine rocks, Case study: Azarshahr area, NW Iran

Uniaxial compressive strength (UCS) is one of the most widely used and important rock mechanical parameters in rock engineering. The main objective of the present study was to evaluate the ability of artificial intelligence models including multi-layer perceptron (MLP), Sugeno fuzzy logic (SFL), Mamdani fuzzy logic (MFL), adaptive neuro-fuzzy inference system (ANFIS) and support...

Geochemistry and multivariate statistical analysis for fluoride occurrence in groundwater in the Kuhbanan basin, Central Iran

The groundwater is the only major source of drinking water in central part of Iran. The study was carried out to locate and decipher hydrogeochemical reactions responsible for elevated concentration of fluoride. In the Kuhbanan basin groundwater samples were collected at 24 sites and analyzed. The concentration of fluoride ranged from 0.05 to 10.8 mg/l in groundwater of study...

Does the stability above the upper boundary have any effect on the orographic rainfall?

An attempt has been made to examine whether the stability condition of the layer, above the upper boundary of a computational domain, has any effect on the magnitude and spatial pattern of rainfall intensity (RFI), as diagnosed by dynamical model of orographic rainfall. For this purpose a three dimensional mesoscale dynamical model for orographic rainfall has been used. In this...

Predictive modeling the side weir discharge coefficient using neural network

Weirs are common structures that are widely used in the almost water engineering projects such as hydropower systems, irrigation and drainage networks along with sewage networks. A side weir has many possible uses in hydraulic engineering and has been investigated as an important structure in hydro systems, as well. In this paper, predicting the discharge coefficient of side...

Modeling of subsurface horizontal flow constructed wetlands using OpenFOAM®

Natural purification of pollutants is one of the major ecosystem services provided by wetlands. The phenomenon of natural treatment is exploited by constructing artificial wetlands for the treatment of domestic wastewater. Various wetland models developed in the recent past range from simplistic regression analysis to highly complex deterministic systems. However, these models...

Modeling landfill site selection using an integrated fuzzy MCDM approach

Landfill site selection is a complex process, which requires the evaluation of multiple criteria. Decision-makers often face difficulties in taking the right decision in a multiple attribute environment. In this paper, an integrated fuzzy-analytical hierarchy process (AHP)–the technique for order preference by similarity to ideal solution (TOPSIS)-based methodology was applied to...

Modeling on climate induced drought of north-western region, Bangladesh

Climate change has occurred naturally over time due to conditional drift, cosmological cycle and changes in volcanic activity and solar energy. Industrial revolutions have changed the balance of natural equilibrium of earth’s climate constituent, making atmosphere warmer than its natural rhythm eventually causing catastrophic consequences on geographically vulnerable countries...

Is the maximum velocity of carboxylation (Vcmax) well adjusted for deciduous shrubs in DGVMs? A case study for the Caatinga biome in Brazil

Vcmax is the rate of maximum velocity of carboxylation of plants and is considered one of the most critical parameters for changes in vegetation in face of global changes and it has a direct impact on gross primary productivity. Physiological processes are considered the main sources of uncertainties in dynamic global vegetation models (DGVMs). The Caatinga biome, in the semiarid...

Mapping of groundwater potential zones in hard rock terrain using geoinformatics: a case of Kumari watershed in western part of West Bengal

Groundwater is one of the world’s most precious natural resources. But still now this valuable resource is largely unexploited for agricultural development in drought prone western region of West Bengal. In drought prone areas micro-watershed based development strategy may be considered as the best practice for integrated development. Keeping in view the above perspective, we...

Modeling saline water intrusion in Nagapattinam coastal aquifers, Tamilnadu, India

Unexpected mistreatment of groundwater from coastal aquifers may possibly cause salt water intrusion in coastal aquifers. Coastal areas are mostly overpopulated with productive agricultural lands and expanded irrigated farming actions. Field and modeling studies were started to consider the special effects of possible seawater intrusion into the coastal aquifers. Groundwater...

Modeling of multiple regression and multiple linear regressions for prediction of groundwater quality (case study: north of Shiraz)

The aim of the study area was investigation groundwater quality and determination of relationship between effective parameters in groundwater quality in north of Fars province, southeast Iran. For determination of groundwater quality, parameters of calcium (Ca), pH, potassium (k), chlorine (Cl), magnesium (Mg), sodium (Na), electrical conductivity, sulfate (So4), total dissolved...